#latest news on h1 b visa

[jobaaj]

🔴BREAKING NEWS: Good news for students! Trump has proposed green cards for graduates! 🤔What happened? ·  Trump recently appeared on the 'All-In' podcast hosted by Silicon Valley investors and talked about giving green cards to students.

·  He thinks students who study at American colleges should get a green card when they graduate.

·  This is a big change from his 2016 plan to stop the H1-B visa to encourage hiring within the US.

·  He said that talented students couldn’t make deals with companies because they didn't think they could stay in the US.

·  He also mentioned stories of bright students who wanted to stay in the US but had to go back to countries like India and China, where they became billionaires and created many jobs. 😲Interestingly: ·  Trump’s campaign officials have announced that while they plan to implement this policy, there will be a strict and thorough vetting process.

·  The policy would only apply to the most skilled graduates who can make significant contributions to America.

·  Additionally, the process would automatically exclude all communists, radical Islamists, Hamas supporters, America haters, and people who rely on public assistance.

🥸Analysis: ▪ Trump’s latest move is both political and economic. ▪ Political because this comes days after President Biden announced a large-scale immigration plan to provide citizenship to spouses of American citizens. ▪ Economic because the US is facing a crippling labour shortage. A recent estimate suggests that 7 out of 10 US employers cannot find suitable employees for their jobs! ❓Is this a good move for America? Will Trump be a better president than Biden?? Follow Jobaaj Stories (the media arm of Jobaaj.com Group for more)

 About Jobaaj Stories:

Jobaaj Stories started out as the story-telling arm of Jobaaj.com. But over time it kept growing on its own, taking up novel niches, such as blazing news updates, inspiring stories of magnificent people, and informational resources, all for the purpose of nourishing and educating budding professionals and students. But if there was one thing that remained constant, it was our love for story-telling! And that’s why we exist, to tell you stories, and hope meanwhile, that these stories enrich you with information and inspiration!

[visamintglobal]

The Latest in US Immigration Reforms: Streamlined H-1b Visa Renewals within the Country

As we step into the New Year, aspiring immigrants to the United States, especially those from India and Canada, have reason to celebrate. The US government has introduced significant reforms to ease the process of renewing H-1b visas from within the US, ushering in a new era of accessibility and convenience. This positive change primarily benefits Indian and Canadian applicants participating in the pilot program.

Eligibility for the streamlined renewal process requires individuals to hold a valid H-1b status in the United States, with the explicit intention of re-entering the country under the same status. Applicants who have already provided fingerprints and are exempt from in-person interviews are also eligible for this simplified renewal process, marking a departure from traditional renewal requirements.

Commencing from January 29, 2024, to April 1, 2024, the online portal will accept applications for renewals. Applicants should be aware of a non-refundable and non-transferable fee of $205, subject to potential changes. Moreover, it's advisable to stay updated on the latest immigration status and potential fee adjustments. Importantly, the pilot program also extends its benefits to those applying for renewal from overseas, offering flexibility to applicants irrespective of their location.

With an initial cap of 20,000 applications, excluding dependents of H-1b professionals, the pilot program represents a strategic move to address the challenges faced by individuals residing in the United States. Often, those required to travel abroad for official work purposes grapple with the uncertainty of returning if their visa has expired. This initiative seeks to foster a conducive environment for the foreign temporary workforce, contributing to the United States and mitigating uncertainties for both employers and employees in the visa renewal process.

It's crucial to note that those who have already applied for visa renewal may not need to provide their residential address status during and after the application process, offering further expediency. However, as the program is currently in its testing phase, it aims to assess the department's capacity to efficiently issue domestic renewals. The issuance of renewals involves a considerable time investment and intensive training for staff, and this pilot program will be instrumental in evaluating whether the global visa wait time for non-immigrant applicants can be significantly reduced.

Meanwhile, India has urged the United States to consider making the pilot program permanent for H1-B visa renewals for all Indian applicants and their dependents. Additionally, there is a call to fast-track visa processes to the US for individuals running Indian businesses. These considerations underscore the potential long-term impact of the pilot program and the importance of facilitating smoother visa procedures for international professionals and entrepreneurs.

In conclusion, the streamlined H-1b visa renewal process is a welcome change, offering a more straightforward path for eligible applicants. As the pilot program unfolds, it not only addresses immediate concerns for those seeking renewal but also holds promise for broader reforms that could enhance the efficiency of global visa processes. As individuals navigate this evolving landscape, staying informed and seizing the opportunities presented by such initiatives will be key in realizing a smoother and more predictable immigration experience. This marks just the beginning of a series of reforms planned for the New Year. Visamint Overseas Services is available to assist with documentation and applications for student, visit, tourism, and work visas for the United States. Call now to start the process!

[khabrisala]

Trump defends suspending Green Card applications till Dec 31 Image Source : AP Trump defends suspending Green Card applications till Dec 31 US President Donald Trump has defended his decision to suspend issuing of green cards till the end of the year, saying it was needed to give jobs to Americans.

[weelectronicstudentreviewstuff]

Trump defends suspending Green Card applications till Dec 31 Image Source : AP Trump defends suspending Green Card applications till Dec 31 US President Donald Trump has defended his decision to suspend issuing of green cards till the end of the year, saying it was needed to give jobs to Americans.

[g33kxinc]

Facebook settles work discrimination claims that it favoured temporary visa holders

Facebook settles work discrimination claims that it favoured temporary visa holders

Facebook will pay up to $9.5 million to people that experienced Facebook’s alleged discriminatory recruitment process of favouring H1-B and other temporary visa holders. Facebook will pay up to $9.5 million to people that experienced Facebook’s alleged discriminatory recruitment process of favouring H1-B and other temporary visa holders. Latest news

[epackingvietnam]

7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

#túi_giấy_epacking_việt_nam #túi_giấy_epacking #in_túi_giấy_giá_rẻ #in_túi_giấy #epackingvietnam #tuigiayepacking

[bfxenon]

7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

[nutrifami]

7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

[khabrisala]

Trump considering suspending H1B, other visas: Report Image Source : FILW Trump considering suspending H1B, other visas: Report US President Donald Trump is considering suspending a number of employment visas including the H-1B, most sought-after among Indian IT professionals, in view of the massive unemployment in America due to the coronavirus pandemic, according to a media report.

[weelectronicstudentreviewstuff]

Trump considering suspending H1B, other visas: Report Image Source : FILW Trump considering suspending H1B, other visas: Report US President Donald Trump is considering suspending a number of employment visas including the H-1B, most sought-after among Indian IT professionals, in view of the massive unemployment in America due to the coronavirus pandemic, according to a media report.

[xaydungtruonggia]

7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

[ductrungnguyen87]

7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

[camerasieunhovn]

7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

[gamebazu]

7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

https://ift.tt/2NwrvE5

[kjt-lawyers]

7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

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7 Emerging Technologies in SEO and Their Applications

Posted by AbdulGaniy_Shehu

SEO is a dynamic industry. What worked some weeks ago might not work again right now.

As an SEO professional, you need to know the latest trends and emerging technologies, to keep up with the ever-changing demand of the industry. That way, you can stay on top of your game and become more efficient in your business.

In this post, I’ll share with you seven emerging technologies in the SEO industry and how they impact your work as an SEO expert. Finally, I’ll show you how to apply them in your business for optimal results.

If you want to scale your SEO processes in 2021 and beyond, you should watch out for these technologies, and start implementing them in your business right away.

1. Natural Language Processing (NLP)

In December 2019, Google officially rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm update worldwide. This update brought NLP to the fore, and it’s been a technology to watch out for in the SEO industry since.

With NLP, Google can understand what a word in a sentence means by looking at its context.

This means that Google no longer relies on the specific words or phrases that users are searching for to provide them with the right answers. Rather, they’re looking at the intent behind each search.

Here’s an example of how BERT (an offshoot of NLP), affects a search query according to Google.

Before NLP, if someone searches for the query “2019 brazil traveler to usa need a visa”, Google thinks that this is an informational query to confirm if a U.S citizen can travel to Brazil without a visa. Hence, it shows a Washington Post article that answers the question on top of the SERPs.

As you can see, the context behind this search is someone wanting to travel to the USA from Brazil who needs a visa. While it was difficult for Google to figure out what these kinds of queries meant in the past, with BERT, the algorithm understands the context behind each search and provides the user with the right information.

How to utilize NLP in your SEO processes

With NLP, informational content is more crucial than ever. However, optimizing for BERT isn’t something you can do as an SEO.

Rather, you should focus on creating high-quality content that answers search queries accurately. When you do, you’ll definitely rank well.

This Moz article shows you how to write amazing pieces of content for search engines and people.

2. Natural Language Generation (NLG) for short-form content

With NLG, SEOs can now produce meaningful phrases and sentences just like a natural language, but using technology.

Instead of battling with writers’ block and spending hours thinking of what to write, NLG removes that burden through automation. And if you’re a content creator, this helps you focus just on polishing the content and making it read better.

While there are a lot of use cases for NLG, at the moment, it’s better used to write short-form content such as headlines, product descriptions, meeting memos, and so on.

How to use NLG as an SEO

There are a lot of use cases for NLG technologies. With a tool such as Copy.ai, you can create landing page hero text, Facebook primary text, blog introductions, email subject lines, listicles, meta descriptions, and so on.

Here’s an example of some listicles I created for the topic “quality blog content” using this tool:

As you can see, if I wanted to write an article on this topic, I can use some of these suggestions as an outline for my post. With these, I can focus instead on researching the individual sub-topics.

Here’s another example of some website taglines that I created for Moz by entering the brand name and a brief description of “The Ultimate SEO tool you can trust” into the tool:

If you were starting a new brand as an SEO, you can use NLG tools such as this, to discover awesome taglines to use for your brand.

3. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you use a term on a particular page and how it compares to a collection of pages for that specific keyword.

While TF*IDF might seem like a measurement of keyword density, it’s actually measuring how important a keyword phrase is by comparing it to that keyword’s frequency in a large set of documents.

Although it’s not yet clear if Google uses TF*IDF in its algorithm, it’s a good practice to incorporate it into your on-page SEO strategy.

Before applying TF*IDF, you need to create a piece of content targeting a particular keyword. Once that’s done, plug the content into a TF*IDF tool. Some recommended options are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

How to use TF*IDF in your SEO processes

With technology and some information about your keyword, TF*IDF tools usually suggest some phrases you can add or remove from your pages. As an SEO, you can optimize your page based on these suggestions to meet the required TF*IDF score for that keyword.

That way, you can figure out some phrases which are closely related to the keyword you’re writing about, but not present in your content. When you add these phrases and words to your content, it makes your article topically relevant and helps your page rank better in the SERPs.

4. GPT-3 for automated content creation

In September 2020, The Guardian published a story on its website that was written by a robot. Since then, Generative Pre-trained Transformer Number 3 (GPT-3) has been a hot topic in the SEO industry.

The GPT-3 API works in an interesting way because it’s been trained with a large pool of datasets to mimic how humans write. This includes the Common Crawl dataset, Wikipedia, relevant historical books, and so on.

When you provide the GPT-3 API with a writing prompt, it tries to predict exactly what would come after that, based on the information it’s read on the Internet.

The screenshot below is an example of GPT-3-generated content that went viral on Hacker news some months ago. Most users commented on it, just like they would on a regular post, without knowing that it was written by a robot.

How to Use GPT-3 for automated content creation

Email writing: As an SEO, you most likely recognize that writing great emails is a skill that’ll help your business grow, yet find it difficult to do so. With GPT-3, you can write emails easily. All you need to do is provide some bullet points outlining all you want to cover in the email, and it’ll automatically write it for you.

First draft writing: Creating the first draft is the most difficult aspect of writing. With GPT-3, you can create the first draft of your content, and then edit it afterwards to meet your brand voice. This saves you a lot of time and makes you more efficient.

5. SEO A/B testing

Most SEOs focus more on user A/B testing and less on SEO A/B testing. While user testing involves randomly assigning visitors (users) of your website to different versions of your pages, and eventually deciding on the one to use based on the performance. In SEO A/B testing, the users are Googlebots and not end-users, and they’re typically shown the same version of the page.

What this means is that when you implement SEO/AB testing, you’re only showing users or Google only one version of the page, and not multiple pages.

How to implement SEO/AB testing

There are different ways to implement SEO A/B testing, depending on what you want to achieve for your business. If you’re just starting out, some things you can test include:

Title tags

Meta description

H1

Take for instance, Etsy conducted a title tag SEO A/B testing for some of its pages, and within a few days, they started seeing significant traffic changes to their pages.

If you’re an intermediate/advanced SEO, you can test other things such as:

AMP pages

Internal anchor texts

Schema markup

New content

And so on

For example, SearchPilot ran an internal link SEO A/B testing for a grocery store, and saw a 25% increase in organic traffic.

Conducting SEO A/B tests such as these will help you know exactly what works well for your brand and what doesn’t. That way, you can make more informed decisions when optimizing your pages for SEO.

For instance, if your traffic decreased to a particular page after making changes to it during the SEO A/B test, it shows that the test didn’t work out.

Typically, you should expect to start seeing results from your SEO A/B testing as soon as Google crawls your variant page. If Google crawls your test page within say 7-14 days, then you can compare it with the main page.

Some SEO A/B testing tools you can use for this purpose include: Google Tag Manager, Rankscience, Optimizely, etc.

6. Automated on-page content optimization

When creating a long-form piece of content, you typically:

Check the top-ranking pages on the SERPs

Go through each piece of content ranking on the SERPs

Figure out the specific headings and subheadings the pages are covering

Identify the missing points in the pages

Create a better outline of our own piece.

And so on

This usually takes a lot of time. You have to spend hours manually checking one piece of content after another and taking note of the most important points to include in your own piece.

How to use automated on-page content optimization

Instead of spending hours to create content briefs and researching the information you want to include in your content, you can use SEO tools such as Frase AI and Content Harmony.

With Frase AI, you can shorten the time you use for content research. Say you want to write about “how to lose weight fast”, you can input the main keyword into the tool.

Once done, it’ll automatically check the top-ranking pages in the SERPs, and provide you with some useful information you can use when creating your content. These include the top results for the keyword, statistics and data you can add in your content, questions your target audience are asking on Quora, Reddit, and Google’s People Also Ask.

With a tool such as Content Harmony, you can automatically create content briefs that meet search intent in less time.

All you need to get started is your keyword. Once you input it into the software, it automatically analyzes the SERPs using different data points. Afterwards, you can build your content briefs from there.

7. Non-text content factors

Non-text content factors are becoming more prominent in SEO because they help you create a nicer user experience on your website pages.

If you read a piece of content with blocks of texts all over it, you’ll most likely find it unappealing to look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content factors will have a huge impact on SEO.

Some of these non-text content factors include:

Images

Infographics

Graphs

Charts

Videos

Audio clips

Animations

Slideshows

Downloadable files such as PDFs

How to use non-text content factors for SEO

Canva: With this tool, you create high-quality non-stock images for your pages.

Venngage: If you want to create infographics that catches your readers’ attention, then you should use Venngage.

Invideo: Invideo helps you create and edit videos online in a few minutes with different ready-made templates.

Animaker: If you don’t have a design background and want to create animated videos, then this tool will help you greatly.

With these tools, you can make your pages and posts more appealing. Hence, your readers will spend more time on your website, and your bounce rate will eventually decrease drastically.

Conclusion

As we look forward into the future of the SEO industry, new technology developments will definitely play a significant role. While some of them are already in use, others are still in development.

If you’re an SEO who wants to remain on top of things in the industry, then you should keep an eye out for these emerging technologies and start applying them to grow your business. Have more SEO tech to add to this list? Let me know in the comments.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!