#local search

[mostlysignssomeportents]

This is your brain on fraud apologetics

In 1998, two Stanford students published a paper in Computer Networks entitled “The Anatomy of a Large-Scale Hypertextual Web Search Engine,” in which they wrote, “Advertising funded search engines will be inherently biased towards the advertisers and away from the needs of consumers.”

https://research.google/pubs/pub334/

If you’d like an essay-formatted version of this post to read or share, here’s a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/02/24/passive-income/#swiss-cheese-security

The co-authors were Lawrence Page and Sergey Brin, and the “large-scale hypertextual web search-engine” they were describing was their new project, which they called “Google.” They were 100% correct — prescient, even!

On Wednesday night, a friend came over to watch some TV with us. We ordered out. We got scammed. We searched for a great local Thai place we like called Kiin and clicked a sponsored link for a Wix site called “Kiinthaila.com.” We should have clicked the third link down (kiinthaiburbank.com).

We got scammed. The Wix site was a lookalike for Kiin Thai, which marked up their prices by 15% and relayed the order to our local, mom-and-pop, one-branch restaurant. The restaurant knew it, too — they called us and told us they were canceling the order, and said we could still come get our food, but we’d have to call Amex to reverse the charge.

As it turned out, the scammers double-billed us for our order. I called Amex, who advised us to call back in a couple days when the charge posted to cancel it — in other words, they were treating it as a regular customer dispute, and not a systemic, widespread fraud (there’s no way this scammer is just doing this for one restaurant).

In the grand scheme of things, this is a minor hassle, but boy, it’s haunting to watch the quarter-century old prophecy of Brin and Page coming true. Search Google for carpenters, plumbers, gas-stations, locksmiths, concert tickets, entry visas, jobs at the US Post Office or (not making this up) tech support for Google products, and the top result will be a paid ad for a scam. Sometimes it’s several of the top ads.

This kind of “intermediation” business is actually revered in business-schools. As Douglas Rushkoff has written, the modern business wisdom reveres “going meta” — not doing anything useful, but rather, creating a chokepoint between people who do useful things and people who want to pay for those things, and squatting there, collecting rent:

https://rushkoff.medium.com/going-meta-d42c6a09225e

It’s the ultimate passive income/rise and grind side-hustle: It wouldn’t surprise me in the least to discover a whole festering nest of creeps on Tiktok talking about how they pay Mechanical Turks to produce these lookalike sites at scale.

This mindset is so pervasive that people running companies with billions in revenue and massive hoards of venture capital run exactly the same scam. During lockdown, companies like Doordash, Grubhub and Uber Eats stood up predatory lookalike websites for local restaurants, without their consent, and played monster-in-the-middle, tricking diners into ordering through them:

https://pluralistic.net/2020/09/19/we-are-beautiful/#man-in-the-middle

These delivery app companies were playing a classic enshittification game: first they directed surpluses to customers to lock them in (heavily discounting food), then they directed surplus to restaurants (preferential search results, free delivery, low commissions) — then, having locked in both consumers and producers, they harvested the surplus for themselves.

Today, delivery apps charge massive premiums to both eaters and restaurants, load up every order with junk fees, and clone the most successful restaurants out of ghost kitchens — shipping containers in parking lots crammed with low-waged workers cranking out orders for 15 different fake “virtual restaurants”:

https://pluralistic.net/2020/12/01/autophagic-buckeyes/#subsidized-autophagia

Delivery apps speedran the enshittification cycle, but Google took a slower path to get there. The company has locked in billions of users (e.g. by paying billions to be the default search on Safari and Firefox and using legal bullying to block third party Android device-makers from pre-installing browsers other than Chrome). For years, it’s been leveraging our lock-in to prey on small businesses, getting them to set up Google Business Profiles.

These profiles are supposed to help Google distinguish between real sellers and scammers. But Kiin Thai has a Google Business Profile, and searching for “kiin thai burbank” brings up a “Knowledge Panel” with the correct website address — on a page that is headed with a link to a scam website for the same business. Google, in other words, has everything it needs to flag lookalike sites and confirm them with their registered owners. It would cost Google money to do this — engineer-time to build and maintain the system, content moderator time to manually check flagged listings, and lost ad-revenue from scammers — but letting the scams flourish makes Google money, at the expense of Google users and Google business customers.

Now, Google has an answer for this: they tell merchants who are being impersonated by ad-buying scammers that all they need to do is outbid them for the top ad-spot. This is a common approach — Amazon has a $31b/year “ad business” that’s mostly its own platform sellers bidding against each other to show you fake results for your query. The first five screens of Amazon search results are 50% ads:

https://pluralistic.net/2022/11/28/enshittification/#relentless-payola

This is “going meta,” so naturally, Meta is doing it too: Facebook and Instagram have announced a $12/month “verification” badge that will let you report impersonation and tweak the algorithm to make it more likely that the posts you make are shown to the people who explicitly asked to see them:

https://www.vox.com/recode/2023/2/21/23609375/meta-verified-twitter-blue-checkmark-badge-instagram-facebook

The corollary of this, of course, is that if you don’t pay, they won’t police your impersonators, and they won’t show your posts to the people who asked to see them. This is pure enshittification — the surplus from users and business customers is harvested for the benefit of the platform owners:

https://pluralistic.net/2023/01/21/potemkin-ai/#hey-guys

The idea that merchants should master the platforms as a means of keeping us safe from their impersonators is a hollow joke. For one thing, the rules change all the time, as the platforms endlessly twiddle the knobs that determine what gets shown to whom:

https://doctorow.medium.com/twiddler-1b5c9690cce6

And they refuse to tell anyone what the rules are, because if they told you what the rules were, you’d be able to bypass them. Content moderation is the only infosec domain where “security through obscurity” doesn’t get laughed out of the room:

https://doctorow.medium.com/como-is-infosec-307f87004563

Worse: the one thing the platforms do hunt down and exterminate with extreme prejudice is anything that users or business-customers use to twiddle back — add-ons and plugins and jailbreaks that override their poor choices with better ones:

https://www.theverge.com/2022/9/29/23378541/the-og-app-instagram-clone-pulled-from-app-store

As I was submitting complaints about the fake Kiin scam-site (and Amex’s handling of my fraud call) to the FTC, the California Attorney General, the Consumer Finance Protection Bureau and Wix, I wrote a little Twitter thread about what a gross scam this is:

https://twitter.com/doctorow/status/1628948906657878016

The thread got more than two million reads and got picked up by Hacker News and other sites. While most of the responses evinced solidarity and frustration and recounted similar incidents in other domains, a significant plurality of the replies were scam apologetics — messages from people who wanted to explain why this wasn’t a problem after all.

The most common of these was victim-blaming: “you should have used an adblocker” or “never click the sponsored link.” Of course, I do use an ad-blocker — but this order was placed with a mobile browser, after an absentminded query into the Google search-box permanently placed on the home screen, which opens results in Chrome (where I don’t have an ad-blocker, so I can see material behind an ad-blocker-blocker), not Firefox (which does have an ad-blocker).

Now, I also have a PiHole on my home LAN, which blocks most ads even in a default browser — but earlier this day, I’d been on a public wifi network that was erroneously blocking a website (the always excellent superpunch.net) so I’d turned my wifi off, which meant the connection came over my phone’s 5G connection, bypassing the PiHole:

https://pluralistic.net/2022/04/28/shut-yer-pi-hole/

“Don’t click a sponsored link” — well, the irony here is that if you habitually use a browser with an ad-blocker, and you backstop it with a PiHole, you never see sponsored links, so it’s easy to miss the tiny “Sponsored” notification beside the search result. That goes double if you’re relaxing with a dinner guest on the sofa and ordering dinner while chatting.

There’s a name for this kind of security failure: the Swiss Cheese Model. We all have multiple defenses (in my case: foreknowledge of Google’s ad-scam problem, an ad-blocker in my browser, LAN-wide ad sinkholing). We also have multiple vulnerabilities (in my case: forgetting I was on 5G, being distracted by conversation, using a mobile device with a permanent insecure search bar on the homescreen, and being so accustomed to ad-blocked results that I got out of the habit of checking whether a result was an ad).

If you think you aren’t vulnerable to scams, you’re wrong — and your confidence in your invulnerability actually increases your risk. This isn’t the first time I’ve been scammed, and it won’t be the last — and every time, it’s been a Swiss Cheese failure, where all the holes in all my defenses lined up for a brief instant and left me vulnerable:

https://locusmag.com/2010/05/cory-doctorow-persistence-pays-parasites/

Other apologetics: “just call the restaurant rather than using its website.” Look, I know the people who say this don’t think I have a time-machine I can use to travel back to the 1980s and retrieve a Yellow Pages, but it’s hard not to snark at them, just the same. Scammers don’t just set up fake websites for your local businesses — they staff them with fake call-centers, too. The same search that takes you to a fake website will also take you to a fake phone number.

Finally, there’s “What do you expect Google to do? They can’t possibly detect this kind of scam.” But they can. Indeed, they are better situated to discover these scams than anyone else, because they have their business profiles, with verified contact information for the merchants being impersonated. When they get an ad that seems to be for the same business but to a different website, they could interrupt the ad process to confirm it with their verified contact info.

Instead, they choose to avoid the expense, and pocket the ad revenue. If a company promises to “to organize the world’s information and make it universally accessible and useful,” I think we have the right to demand these kinds of basic countermeasures:

https://www.google.com/search/howsearchworks/our-approach/

The same goes for Amex: when a merchant is scamming customers, they shouldn’t treat complaints as “chargebacks” — they should treat them as reports of a crime in progress. Amex has the bird’s eye view of their transaction flow and when a customer reports a scam, they can backtrack it to see if the same scammer is doing this with other merchants — but the credit card companies make money by not chasing down fraud:

https://www.buzzfeednews.com/article/rosalindadams/mastercard-visa-fraud

Wix also has platform-scale analytics that they could use to detect and interdict this kind of fraud — when a scammer creates a hundred lookalike websites for restaurants and uses Wix’s merchant services to process payments for them, that could trigger human review — but it didn’t.

Where do all of these apologetics come from? Why are people so eager to leap to the defense of scammers and their adtech and fintech enablers? Why is there such an impulse to victim-blame?

I think it’s fear: in their hearts, people — especially techies — know that they, too, are vulnerable to these ripoffs, but they don’t want to admit it. They want to convince themselves that the person who got scammed made an easily avoidable mistake, and that they themselves will never make a similar mistake.

This is doubly true for readerships on tech-heavy forums like Twitter or (especially) Hacker News. These readers know just how many vulnerabilities there are — how many holes are in their Swiss cheese — and they are also overexposed to rise-and-grind/passive income rhetoric.

This produces a powerful cognitive dissonance: “If all the ‘entrepreneurs’ I worship are just laying traps for the unwary, and if I am sometimes unwary, then I’m cheering on the authors of my future enduring misery.” The only way to resolve this dissonance — short of re-evaluating your view of platform capitalism or questioning your own immunity to scams — is to blame the victim.

The median Hacker News reader has to somehow resolve the tension between “just install an adblocker” and “Chrome’s extension sandbox is a dumpster fire and it’s basically impossible to know whether any add-on you install can steal every keystroke and all your other data”:

https://mattfrisbie.substack.com/p/spy-chrome-extension

In my Twitter thread, I called this “the worst of all possible timelines.” Everything we do is mediated by gigantic, surveillant monopolists that spy on us comprehensively from asshole to appetite — but none of them, not a 20th century payment giant nor a 21st century search giant — can bestir itself to use that data to keep us safe from scams.

Next Thu (Mar 2) I'll be in Brussels for Antitrust, Regulation and the Political Economy, along with a who's-who of European and US trustbusters. It's livestreamed, and both in-person and virtual attendance are free:

https://www.brusselsconference.com/registration

On Fri (Mar 3), I'll be in Graz for the Elevate Festival:

https://elevate.at/diskurs/programm/event/e23doctorow/

[Image ID: A modified version of Hieronymus Bosch's painting 'The Conjurer,' which depicts a scam artist playing a shell-game for a group of gawking rubes. The image has been modified so that the scam artist's table has a Google logo and the pea he is triumphantly holding aloft bears the 'Sponsored' wordmark that appears alongside Google search results.]

[jefffrose24]

winning moment

[infographicjournal]

Maximizing Your Google Business Profile

Having trouble reading infographic here?

Check out the full size infographic at - https://infographicjournal.com/maximizing-your-google-business-profile/

[linkhelpersseoscottsdale]

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[gmb-api]

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A local SEO tool to optimise your Google Business Profile local listings for multi-location SEO. With GMBapi, you can monitor this important part of your customer journey with ease. Track your local customer engagements, manage and monitor your local reputation (with some help of AI), deploy a local content strategy, and maximise local visibility. Local search made simple with our GMB (Google My Business) API software. Invest less, realise more.

[juliebowie]

An Introduction to Local Search in Artificial Intelligence

Summary: Local search in artificial intelligence optimizes solutions by focusing on nearby solutions within a vast search space. It offers efficiency in solving complex problems, though challenges like local optima exist. Advanced techniques like Simulated Annealing enhance its performance, making local search a valuable tool in AI-driven optimization tasks.

Introduction

Artificial Intelligence (AI) revolutionizes various sectors by enabling machines to simulate human intelligence. A crucial aspect of AI is search, which involves finding optimal solutions to complex problems. Local search in artificial intelligence focuses on exploring nearby solutions to efficiently reach an optimal or near-optimal solution. 

This blog aims to introduce local search, explain its significance, and compare it with other search techniques. By understanding local search, you’ll gain insights into its practical applications and benefits in solving real-world problems.

What is Local Search in Artificial Intelligence?

In the context of Artificial Intelligence (AI), local search refers to optimization techniques that explore the solution space by iteratively improving a candidate solution based on its local neighborhood. 

Unlike global search methods that attempt to explore the entire search space, local search focuses on finding a better solution by making small, incremental changes. This approach is often used when the search space is too large to be navigated comprehensively.

Local search differs from global search techniques primarily in its scope. Global search methods, such as exhaustive search or branch-and-bound, aim to explore all possible solutions or systematically eliminate large portions of the search space.

In contrast, local search algorithms concentrate on local neighborhoods, making them more efficient in certain scenarios but potentially missing the global optimum.

Local search is particularly effective for problems with a vast search space where finding an exact solution is impractical. Examples include scheduling tasks, optimizing routes for delivery, and tuning parameters in machine learning models. These problems benefit from local search’s ability to quickly improve solutions, even if it cannot guarantee a globally optimal result.

Read: Advantages and Disadvantages of Artificial Intelligence.

Types of Local Search Algorithms

Local search algorithms play a crucial role in solving optimization problems by iteratively exploring the solution space. These algorithms focus on improving the current solution by making small changes, known as "moves," to find better solutions. Below are some of the most common types of local search algorithms used in Artificial Intelligence.

Hill Climbing

Hill Climbing is one of the simplest local search algorithms. It starts with an arbitrary solution and iteratively makes incremental changes to improve the solution's value. The algorithm continuously "climbs" towards a better solution by selecting the neighboring state with the highest value. 

However, Hill Climbing can get stuck in local optima, where no neighboring solution is better, even though the overall best solution lies elsewhere.

Simulated Annealing

Simulated Annealing mimics the process of annealing in metallurgy, where a material is heated and then slowly cooled to reduce defects. This algorithm introduces randomness to escape local optima. 

It occasionally allows worse solutions to be accepted with a probability that decreases over time, enabling the algorithm to explore a broader solution space. This approach helps Simulated Annealing find a global optimum more effectively than Hill Climbing.

Tabu Search

Tabu Search enhances the basic local search by maintaining a "tabu list" that records recently visited solutions or moves. This list prevents the algorithm from revisiting the same solutions and getting trapped in cycles. 

By forbidding or "tabuing" certain moves, Tabu Search explores new regions of the solution space, improving its chances of finding an optimal or near-optimal solution.

Genetic Algorithms

Genetic Algorithms apply the principles of natural selection to optimize solutions. The algorithm maintains a population of solutions, combining and mutating them to create new solutions. Local search techniques can be integrated into the genetic algorithm process to refine these solutions further, enhancing the overall search process.

Applications of Local Search

Local search algorithms are widely used in various real-world applications where optimization is key. These algorithms excel in finding approximate solutions to complex problems where an exhaustive search is impractical. Below, we explore some of the most common scenarios where local search methods are applied.

Optimization Problems

Local search is particularly effective in solving optimization problems, where the goal is to find the best solution from a set of possible solutions. For example, in the field of operations research, local search is used to optimize resource allocation, minimize costs, or maximize efficiency in production processes. 

The Traveling Salesman Problem (TSP) is a classic optimization problem where local search helps in finding a near-optimal route that minimizes travel distance or time.

Scheduling

In scheduling, local search algorithms are employed to efficiently allocate tasks, resources, or events over time. These algorithms can handle complex constraints and large datasets, making them ideal for industries like manufacturing, where production schedules must be optimized to meet deadlines while minimizing downtime. 

Another application is in workforce scheduling, where the aim is to assign shifts to employees in a way that balances workload, complies with labor laws, and maximizes employee satisfaction.

Routing

Routing problems, such as those found in logistics and telecommunications, are another area where local search shines. For instance, in network design, local search algorithms are used to optimize the routing of data packets through a network, ensuring minimal latency and maximal data throughput. In transportation and logistics, these algorithms help in finding the most efficient routes for delivery trucks, reducing fuel consumption and delivery times.

Challenges and Limitations

Local search algorithms, while powerful, face several challenges that can hinder their effectiveness. Understanding these limitations and implementing strategies to overcome them is crucial for optimizing their performance.

Common Issues Faced in Local Search

One of the most significant challenges in local search is the problem of local optima. Local search algorithms, such as Hill Climbing, often get trapped in local optima, where the solution is better than neighboring solutions but not the best overall. This prevents the algorithm from finding the global optimum, leading to suboptimal results. 

Another issue is scalability. As the problem size increases, local search algorithms may struggle to explore the vast search space efficiently. The computational cost can become prohibitive, especially in complex, high-dimensional problems.

Strategies to Overcome These Challenges

To address the issue of local optima, techniques such as Simulated Annealing and Tabu Search are employed. Simulated Annealing allows the algorithm to escape local optima by accepting worse solutions temporarily, while Tabu Search uses memory structures to avoid revisiting recently explored areas. 

To enhance scalability, hybrid approaches that combine local search with other optimization techniques, such as Genetic Algorithms, can be utilized. These approaches enable more efficient exploration of large search spaces, improving the overall performance of the local search algorithm.

Further Read: Big Data and Artificial Intelligence: How They Work Together?

Frequently Asked Questions

What is local search in artificial intelligence?

Local search in artificial intelligence refers to optimization techniques that focus on iteratively improving a candidate solution by exploring its local neighborhood. Unlike global search methods, local search efficiently navigates large search spaces to find optimal or near-optimal solutions in complex problems.

How does local search differ from global search in AI?

Local search differs from global search by focusing on incremental improvements within a local neighborhood, making it more efficient for large search spaces. In contrast, global search attempts to explore the entire search space, which can be computationally expensive.

What are the challenges of local search in AI?

Local search algorithms in AI often face challenges like getting trapped in local optima and scalability issues in large search spaces. Techniques like Simulated Annealing and hybrid approaches can help overcome these limitations and enhance search performance.

Conclusion

Local search in artificial intelligence is a powerful optimization technique that excels in scenarios where global search methods fall short. By focusing on local neighborhoods, it efficiently navigates vast search spaces to find near-optimal solutions. 

Despite its challenges, such as the risk of getting stuck in local optima and scalability concerns, local search remains a valuable tool in solving complex real-world problems. With the right strategies, including hybrid approaches and advanced algorithms like Simulated Annealing and Tabu Search, local search can significantly improve the efficiency and effectiveness of AI-driven solutions.

[fweakofcydonia]

Searching for the Perfect Tree Company to Trim my Trees | Tree Trimming Services in Nashville

Maintaining the trees in your yard is crucial in ensuring the safety and beauty of your property. Tree trimming is one of the essential maintenance tasks that homeowners should always prioritize. It improves the health of the trees, enhances the aesthetic appeal of your yard, and reduces the risk of accidents caused by fallen branches.

However, tree trimming is not a task to be taken lightly. It requires skills, knowledge, and experience to do it safely and effectively. It's advisableto hire a professional tree trimming company to do the job instead of doing it yourself.

But how do you find the right tree trimming company for the job? Here are some tips for searching for a tree trimming company on the internet:

Start with a local search The first step in finding a tree trimming company in Nashville is to search for a local company. Google 'tree trimming' together with your locality or zip code. This search will generate a list of local tree service companies in your area.

Check out company websites Take some time to look at each company's website. A professional and informative website can give you a sense of the quality of services a company offers. Ensure the websites have essential details such as the services they offer, their experience in the industry, and contact information.

Read online reviews Online reviews can provide valuable insights into the quality of services that a company offers. Check out Google Maps or other online directories to look for reviews from past customers. A company with many positive reviews is more likely to deliver quality services.

Consider certification and experience Look for a Nashville tree trimming company that has certified and experienced arborists. Certified arborists have the necessary knowledge and skills to handle different tree species and other vegetation. They also adhere to the industry's safety standards and guidelines.

Check for proper licensing and insurance Ensure the tree trimming company you choose has met all the state and local licensing requirements. A licensed company is a sign that it’s a legitimate business. The company should also have insurance to protect your property and their workers in case of accidents.

Get multiple estimates Once you have narrowed down the list of potential tree trimming companies, request estimates from them. A reputable company will provide you with a free estimate by visiting your property and assessing the services required.

Final thoughts

Finding the right tree trimming company can seem like a daunting task, but doing proper research and following the above tips can make a difference. Choose a company that meets all the requirements, has a proven track record of delivering quality services, and has mindful customer service. By doing proper research, you can protect your property, get value for your money, and ensure your trees remain healthy and vibrant.

[keybuzzdigital]

Why Local SEO Matters: A Small Business Survival Guide

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Local SEO Insights from Google's Leak

Learn how Google’s API documentation leak can improve your local SEO strategies. Continue reading to discover actionable insights and expert tips to boost your local rankings. Local SEO Insights from Google’s API Documentation LeakVideo Content Matters for Local SEOLocal Bot Clicks and CRAP SignalsLocal Authority vs. Topic AuthorityLSAs vs. Google AdsTwiddling with Local ResultsAdditional Local…

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You will get Customized monthly local SEO services designed for success in the UAE.

In today's digital world, having a strong online presence is Important for businesses to succeed, especially in the competitive market of the United Arab Emirates (UAE). One of the most effective ways to enhance your visibility and reach your target audience is through Search Engine Optimization (SEO). However, SEO is not a one-time task; it requires consistent effort and adaptation to stay ahead of the curve.

What are Customized Monthly Local SEO Services?

Customized monthly local SEO services are Greate strategies designed to improve a business's online visibility and rankings specifically within a local market, such as the UAE. These services encompass a range of techniques aimed at optimizing a website to appear prominently in search engine results pages (SERPs) when users search for relevant keywords related to the business's products or services.

Why are They Important?

In a country as diverse and digitally connected as the UAE, consumers rely heavily on search engines like Google to find local businesses and services. Without a strong presence in local search results, businesses risk being overshadowed by competitors and missing out on valuable opportunities to attract customers.

Customized monthly local SEO services offer several benefits:

Targeted Reach: By focusing on local keywords and geographic modifiers, businesses can connect with potential customers who are actively seeking their products or services in the UAE.

2. Increased Visibility: By optimizing various aspects of a website, such as on-page content, meta tags, and business listings, businesses can improve their chances of appearing at the top of local search results, thereby increasing visibility and attracting more organic traffic.

3. Enhanced User Experience: SEO isn't just about keywords; it's also about creating a seamless and user-friendly experience for website visitors. Customized monthly local SEO services often involve optimizing website speed, mobile responsiveness, and overall usability, which can lead to higher engagement and conversions.

4. Long-Term Growth: Unlike traditional advertising methods that require ongoing investment, the effects of SEO can compound over time, resulting in sustainable growth and a higher return on investment (ROI) for businesses in the UAE.

What Do Customized Monthly Local SEO Services Include?

Every business is unique, so customized monthly local SEO services are tailored to meet the specific needs and goals of each client. However, typical components of these services may include:

Keyword Research: Identifying the most relevant and high-traffic keywords related to the business's products or services and its target market in the UAE.

2. On-Page Optimization: Optimizing website content, meta tags, headers, and images to align with target keywords and improve search engine visibility.

3. Local Business Listings: Creating or optimizing business profiles on local directories, review sites, and mapping services to improve local search rankings and increase online visibility.

4. Content Creation: Developing high-quality, informative, and engaging content that resonates with the target audience and addresses their needs and pain points.

5. Link Building: Acquiring back-links from reputable websites and local sources to improve domain authority and credibility in the eyes of search engines.

6. Performance Monitoring: Tracking key metrics such as website traffic, keyword rankings, and conversion rates to measure the effectiveness of the SEO strategy and make data-driven adjustments as needed.

Conclusion:

In conclusion, customized monthly local SEO services offer businesses in the UAE a strategic improve their online visibility, attracting more qualified leads, and ultimately driving growth and success in the digital landscape. By partnering with experienced SEO professionals who understand the unique challenges and opportunities of the local market, businesses can stay ahead of the competition and achieve their marketing objectives with confidence.

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Mastering SEO in Nigeria: How to Optimize for Local Search Visibility in 7 Steps

As a brand, targeting a local audience, one of the secret game changing plans you can use right now is to understand the local SEO in Nigeria, engage in geo-targeting to gain razor-sharp visibility and then evolve pragmatic regional and industry focused strategies to drive your outcomes. This is what your favorites brands are doing to gain the needed boost in visibility, improve traffic and…

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Local SEO: How to Optimize Your Business for Local Search

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On-page SEO para empresas locales

¿Qué es el SEO On-Page para empresas locales? En la era digital el SEO en la página se ha convertido en una piedra angular para las empresas locales que buscan establecer una fuerte presencia en línea. Esto optimiza diferentes elementos en diferentes páginas de nuestro sitio web, aumentando su visibilidad y relevancia en los motores de búsqueda. Para comprender la importancia del SEO en la…

[researchbuzz]

SchoolScoop Local News Search: Find Schools by City/State and Search them on Google News

Last week I made a Search Gizmo called StreetScoop Local News search. It lets you input a street address in the US and get Google News about that street from local TV stations. It works with a combination of an FCC license database lookup and a dataset I downloaded from SimpleMaps and customized. It’s fun and often finds interesting results, but it’s unsatisfying in other ways. Some streets are…

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Local SEO is a search engine optimization (SEO) strategy that helps your business be more visible in local search results on Google. Any business that has a physical location or serves a geographic.

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Foods to eat on a ketogenic diet

If you're considering starting a ketogenic diet, one of the most important things to know is what you should and shouldn't be eating. The goal of the ketogenic diet is to enter a state of ketosis, which is when your body switches from burning carbohydrates for energy to burning fat. In order to do this, you need to drastically reduce your carbohydrate intake and increase your fat intake. Here are some foods to focus on when following a ketogenic diet:1. Meat: Beef, chicken, pork, lamb, and other types of meat are all great sources of protein and healthy fats.2. Fish: Fatty fish like salmon, mackerel, and sardines are rich in omega-3