Showing posts with label SEO. Show all posts

Tuesday, July 14, 2026

How Google Crawls and Indexes Web Pages?

I have already shared about what is crawling and indexing and what their importance is. Today I am going to share how Google crawls and indexes web pages online.

Google crawl every web page of your site and index that page in their database to show in search results and provide better results to the user queries.

How Google Crawls and Indexes Web Pages: eAskme
How Google Crawls and Indexes Web Pages: eAskme

If you want to understand how crawling and indexing affect your site ranks on Google, you need to understand how Google crawls every site page and how it indexes in the database.

Here I am sharing a valuable infographic to help you understand How Google is Crawling and Indexing Web Pages.

How Google Crawls and Indexes Web Pages

How Google Crawls and Indexes Web Pages: eAskme
 
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Monday, July 13, 2026

What is Search Forecasting? Why It is Important?

It is not accurate to predict search engine traffic. But you can still use some strategies to create an effective Search marketing plan that can help you forecast search traffic. Digital marketing is helping you achieve your organic traffic requirement or goals by blending science and art, merging actionable and trackable steps with creative ideas.


What is Search Forecasting? Why It is Important?: eAskme
What is Search Forecasting? Why It is Important?: eAskme

Before restructuring your website or planning page content, you should understand what is working for you and where you should work to improve your search traffic.

This is when you need to search forecasting.

What is Search Forecasting?

Search forecasting is an organic traffic forecasting that predicts your organic traffic's future.

You cannot forecast such traffic on assumptions or best guesses. You always need some hard data.

When you have data, you can optimize your strategies to predict organic traffic and where your business will be in the coming days or years.

To create organic traffic predictions, you must focus on a few things.

Right Metrics:

You need the right metrics from the beginning of the essential part of SEO strategy, "keyword research. "

Keyword research data brings a massive amount of data. Indeed, not every keyword is worthy of your work and attention.

When filtering keyword research data, you should focus on the following:

  • Keyword Difficulty
  • Search Volume
  • Search intent
  • Current rankings and positions.
  • CTR.
  • Queries

You cannot make search forecasting without collecting valuable keyword data.

Search volume is essential to decide whether the keyword matches your traffic goal.

Other keyword research metrics will make it easy for you to make your prediction beyond organic search volume.

Right Tools:

Keyword data cannot do everything on its own.

It is always best to track user behavior on your website or blog.

Login to Google Search Console and check historical data to understand which pages rank better, which pages have lost visibility, etc.

You should know that GMC will also display the bot traffic. It is necessary to determine if a user or a bot searches.

You can use multiple SEO tools such as SEMrush, Ahrefs, Moz, etc., and they all can show results with some differences.

Get data into a spreadsheet to make valuable search predictions.

You can also use Google Keyword Planner to get some insight.

Focus on Competitors:

Competition analysis is quite helpful in making organic search predictions.

Use SEO tools to understand your competitors' page ranking in Google searches.

Compare the performance of those pages with your pages.

Use this data to find keywords based on Keyword Difficulty.

If your competitors are ranking for keywords with low difficulty, then you have better chances to outrank them with creative content and engagement strategies.

Competitors' data will bring a natural impact on your search forecasting.

You can also find out what your content lacks and if you need to update the content.

Trends:

Some SEO strategies are not effective in every condition.

You should know that seasonal traffic doesn't always mean that you are getting the highest volume of traffic.

For example: If you are selling a product on Black Friday, chances are that you are getting tons of traffic, but not every customer will purchase the product right away. But it is the time when you can generate leads for future business.

You can get the estimated traffic value using Google trends. It will also show you when the search queries will have maximum traffic during the year.

100% Prediction not Possible:

User behavior, search algorithms, and unexpected world events can positively or negatively impact search traffic.

Your blog, product, service, or product can go viral on social media. But you will not see any search traffic impact in SEO tools.

You cannot be 100% sure that search forecasting will always be perfect.

Things can change, and you need to be adaptive.

Importance of Search Forecasting:

Forecasting search traffic based on valuable data will show that future results are expected if conditions match your prediction.

This will help you plan in a better way and allocate resources at the right time for the right task.

In enterprise SEO, search forecasting plays an important role. Your result should match what you have expected from your SEO efforts. And, to make your goals achievable, you should understand search forecasting.

You can predict search traffic changes with the data you have. But you cannot plan for sudden changes such as algorithm updates or changes in user behavior.

Search Forecasting helps you plan for the coming months or years.

Conclusion:

Search Forecasting is there to help you plan the future of your SEO strategies and business.

All you need is to learn the use of data and have some analytical skills to make search predictions.

Even though your prediction cannot be 100% perfect, you will have better control over future decisions when you plan early.

Still have any question, feel free to ask me via comments.

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SureRank SEO Plugin for WordPress: Why Is It Popular?

The SureRank SEO plugin is one of the latest additions to WordPress. WordPress is the home of plugins for easy customization and optimization. 59,000+ WordPress plugins are listed in the WordPress directory.
SureRank SEO, Yoast SEO, All in One SEO, and Rank Math are the most popular SEO plugins.

While every WordPress user knows about Yoast, Rank Math, and All in One SEO, SureRank SEO is relatively new in the market.

Still, it is gaining popularity.

Here is everything about the SureRank SEO plugin, its features, benefits, and alternatives.

SureRank SEO Plugin for WordPress

SureRank SEO Plugin for WordPress:

The SureRank SEO WordPress plugin is the product of Brainstorm Force.

Brainstorm Force offers popular WordPress themes and plugins:

  • SureRank SEO Plugin
  • Astra Theme
  • Starter Templates
  • Spectra
  • Ultimate Addon for Elementor
  • Add-ons for Beaver Builder
  • Addons for WPBakery Page Builder
  • Schema Pro
  • ConvertPro
  • WP Portfolio
  • SureFeedback

SureRank SEO is the only SEO plugin by Brainstorm Force. It was launched in July 2025. More than 20,000 users have installed SureRank SEO.

The rising popularity of SureRank lies in its user-friendly features. It is one of the first choices for Astra theme users.

Why the SureRank SEO Plugin?

Yoast, Rank Math, and All-in-One SEO plugins are already dominating the SEO market with millions of installations.

Then why do you need another SEO plugin?

The need for an easy-to-use SEO plugin is the reason.

SureRank is filling that gap. It offers features to make SEO easy. It works as an SEO assistant.

How Does the SureRank SEO Plugin Work?

SureRank SEO’s onboarding process is easy. It guides you on every step to complete the setup and optimization.

It analyzes the site structure and offers recommendations. You can improve the site-level SEO with the help of SureRank.

Features of SureRank SEO Plugin for WordPress:

  • Optimize titles and meta descriptions.
  • Write creative social media content, titles, images, and descriptions.
  • Optimize the homepage and metadata.
  • Optimize Sitemaps
  • Optimize directories.
  • Optimize canonical URLs.
  • Optimize schema data.
  • Site-level SEO analysis
  • Page-level SEO analysis
  • Image Alt Text Generation
  • Google Search Console integration
  • WooCommerce integration

SureRank SEO Plugin Alternatives:

Yoast SEO:

Yoast SEO was released in 2007.

It is one of the oldest and most popular SEO plugin alternatives to SureRank SEO.

Yoast has more than 10 million active installations.

Features of the Yoast SEO plugin:

  • Real-time feedback
  • Live snippet
  • Automatic structured data
  • SEO-optimized sitemaps and breadcrumbs
  • Works with Elementor, WooCommerce, Semrush, and Wincher.

All-in-one SEO:

All-in-One SEO was launched in 2007. It has more than 3 million active installations.

AISEO has features like an SEO optimizer, rich schema, smart sitemaps, local SEO, WooCommerce SEO, and advanced SEO modules.

Features of All-in-One SEO:

  • RSS content customization.
  • SEO user roles
  • Video SEO sitemaps
  • Google News Sitemaps
  • Schema Markup
  • TruSEO On-Page Analysis
  • Local SEO
  • WooCommerce SEO
  • Robots.txt editor
  • Social media integration
  • SEO Audit Checklist
  • Google Search Console Integrations
  • Broken link checker
  • Smart XML Sitemaps
  • IndexNow
  • Link Assistant
  • Redirection Manager
  • Webmaster Tools
  • Image SEO
  • Page Builders SEO
  • Breadcrumbs optimization
  • Search stats
  • PostIndex stats
  • Small business SEO
  • AI writing assistant
  • AI Content Generator
  • Rank tracker
  • Integration with Elementor, Divi, SeedPro, Avada, WPBakery, and Page Builder.

Rank Math SEO:

Rank Math SEO is another popular alternative to SureRank SEO. It has more than 3 million active installations.

It provides suggestions based on content and website. You can customize SEO settings.

Features of the Rank Math SEO Plugin:

  • Easy Setup.
  • Content AI
  • Advanced SEO Analytics
  • Google Index Status
  • Google Analytics 4 Integration.
  • Rank Tracker
  • Track keyword ranking.
  • Schema generator
  • Import Schema markup
  • Schema builder and validator
  • Article, how-to, FAQs, recipe, local business, video, and product schema.
  • Image SEO
  • Sitemap optimization
  • Local SEO
  • WooCommerce

Conclusion:

SureRank is a new WordPress SEO plugin. It has easy-to-use features to work as an SEO assistant.

You can download SureRank for free to test its capabilities.

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Sunday, July 12, 2026

Google AI Mode: How to Get Featured?

Google search is going AI. First Google AI Overviews, and now Google AI Mode, are answering user queries with AI-generated results. AI is changing the Google search. It is time for you to pay attention to AI Mode.

I have already explained Google AI Overviews. It is the time to learn what Google AI Mode is and how it is bringing a massive change to organic search.

You will also learn how AI Mode can impact organic traffic. How to get your website featured? Which content strategy is best?

Here is what you must know.

Google AI Mode

Google AI Mode:

What is Google AI Mode?

Google AI Mode is the new way to search for the answer. It gives direct solutions to user queries. Most questions get branded references.

AI Mode is powered by the same AI Overviews system. You can also access Gemini 2.5 Pro, which is the latest and most intelligent AI model from Google.

The results in AI Mode come from the combination of knowledge graphs, traditional search, and AI-generated solutions.

When you run the same query on both AI Overviews and AI Mode, you get different results.

AI Overviews results are based on search algorithms. AI mode results come from multiple sources with deeper meaning.

In other words, AI Move gives more concise and clear answers than AI Overviews.

How to Access Google AI Mode?

How to Access Google AI Mode?

Google AI Mode is available in the U.S., U.K., and India. AI Mode will roll out to 100s of other countries in coming weeks.

If you are living in the countries with Google AI Mode, then you will see a different Google homepage than the traditional one.

The Google homepage now displays 3 options:

  • Search by Voice
  • Search by Image
  • AI Mode

Evolution of Google AI Mode:

Evolution of Google AI Mode

  • Google has been building AI since 2017.
  • In March 2023, Google launched Bard.
  • In December 2023, Google announced the new LLM Gemini.
  • In February 2024, Google rebranded Bard as Gemini.
  • In May 2024, Google launched AI Overviews.
  • In May 2025, Google released AI Mode.
  • In July 2025, Google launched file upload and live video search capabilities to AI Mode.

AI mode is part of Google’s family of AI tools.

Google’s family of AI tools includes

  • VEO (Video Maker)
  • Imagen (text-to-image model)
  • Project Mariner
  • AI Mode
  • AI Overviews

AI Mode vs. AI Overviews:

Google gets two AI features in search results: AI Mode and AI Overviews.

Both are powered by Google Gemini yet work in different ways.

Here are the differences between AI Mode and AI Overviews:

  • Reasoning: AI Mode is better at reasoning. AI overviews provide the summary of the entire solution, but AI Mode goes deeper and offers a conclusion.
  • Understanding: AI mode also understands images and photos. But AI overviews lack this feature.
  • Complexity: AI Mode is best at solving complex problems. AI Overviews offer fact-based answers.
  • Follow-Up Questions: AI Overviews do not take follow-up questions. AI Mode allows you to chat and ask follow-up questions.
  • Uploads: AI Overview does not accept photo uploads. AI mode accepts image and PDF uploads to provide better solutions.

How to Get Your Content Featured in AI Mode?

SEOs are asking questions like how to rank in AI mode. Google made it clear that GEO or AEO does not help to rank in AI results.

Then what does?

Here is how you can rank your content in AI mode:

Traditional SEO:

Google still considers traditional best SEO practices over GEO or AEO.

Site health, helpful content, and natural backlinks play important roles in landing your website in AI Overviews and AI Mode.

Indexing:

Only indexed webpages get the chance to rank in Google AI Mode or AI Overviews. You must check your Google Search Console report to find out which pages are indexed.

Take help of the URL inspection tool to find out errors in indexing.

Follow Google guidelines to improve content quality and indexing.

Forums and Discussion Boards:

Be active on relevant forums and discussion boards.

Join Reddit and increase your Reddit Karma.

Not only Google, but ChatGPT also uses Reddit discussions as references.

Schema Markup:

Schema markup is still relevant. Use necessary structured data to tell LLM crawlers the information they need to know.

Use relevant schema such as article, website, recipe, FAQs, etc.

Digital PR:

Digital PR is essential.

It helps you gain traffic, mentions, and backlinks. Multiple brand mentions increase the chances to get features on AI Mode and AI overviews.

Create shareable content.

Choose a PR distribution platform to connect with journalists.

Conclusion:

AI is the future of Google search. Google is increasing the family of AI tools with AI Mode and AI overviews.

SEO experts are debating how to appear in AI search on Google or how Google AI has taken the first spot for billions of queries.

No matter what your reason is, AI is there, and you must adopt it to improve your website’s organic position in AI Mode.

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Saturday, July 11, 2026

Google Canonical Evaluation Can Take Up To 2 Weeks

Google has updated the canonicalization troubleshooting guide. This guide explains how long Google takes to reevaluate cluster pages. It is common practice that pages leave cluster pages quickly after submission. You need to manually ask Google for indexing to re-evaluate cluster pages.

Google’s canonical troubleshooting guide explains that you need to wait up to 2 weeks after fixing content to index it in search.

It also explains that pages get out of cluster pages quickly but only when there is a difference between the new content.

Google Canonical Evaluation Can Take Up To 2 Weeks: eAskme
Google Canonical Evaluation Can Take Up To 2 Weeks: eAskme

 

Why Does Google Keep Cluster Pages for Two Weeks?

Google groups similar content pages in a cluster and selects only one as canonical. The new updates guide explains that the only way to make your page leave cluster group is to publish content which is different than cluster pages.

If your new content is different than grouped pages, then it will leave the cluster quickly.

Rather than redirecting or misinformation, google wants you to fix the content on these pages to add real value.

It is best to check Google selected canonical URL to find out if it is the best page for users or not.

Google Canonical Guidance:

Google updates canonical documents in the JavaScript docs. It has updated the canonical document multiple times in recent months.

Why Canonical Guidance Matters:

If you have updated content, your pages are in the group of pages. You should know that Google has set the waiting period up to 2 weeks to fix and reevaluate the content.

After Google’s revaluation your content may get reindexed.

Conclusion:

Google has made it clear that a waiting period can take up to 2 weeks. You need to fix content to ensure that it does not match the other pages. The quicker you can edit and submit your pages, the faster they can get out of the Google cluster pages group.

Other helpful articles:

Friday, July 10, 2026

Human-Centered SEO: How It Works Better Than AI?

Humans are the reason why search engines and SEO exist. AI technology is revolutionizing search engines to understand the content for crawling and indexing processes. But at the same time, automated SEO lacks a necessary point, and that is human intent. Human-centered SEO is gaining popularity in the era of AI SEO.

Major professional SEO tools are pushing you to use AI for research, development, and marketing. Machines can only work like bots. It takes human efforts to understand the emotions and intent of the search.

Human behavior is the most important ranking signal. SEO experts must understand human behavior to adopt modern search engine marketing.

Human-centered SEO is different than automated, machine-led SEO.

Here is everything you must know about human-centered SEO, best practices, and human behavior signals.

Human-Centered SEO: How It Works Better Than AI

Human-Centered SEO:

Human-centered SEO is an optimization strategy that focuses on human behavior and intent. The goal is to create content that satisfies human needs.

Search engines rank helpful content. Google uses ranking algorithms and signals to identify how your content appeals to humans and how users accept your content.

In the era of AI and automated SEO, following human-centered SEO displays your expertise.

Here is how you can do it.

Human-Centered SEO vs. Automated Machine SEO:

Standard SEO is all about using available machine tools to generate the list of ideas and produce content based on the topics, keywords, and relevance.

Content SEO tools are popular for optimizing articles automatically.

The automated SEO tools save a lot of time, but they have a major problem. AI SEO cannot shift as quickly as human behavior.

Search engines prefer content that satisfies that user intent. Backlinks are the result of human interactions.

An SEO expert understands the importance of human-centered content optimization to influence the ranking signals.

Remember: SEO is an art, and it is evolving.

In a common view, it may look like tons of high-quality backlinks are responsible for higher ranking.

But that is the probability, not the guarantee. The website may have a better ranking because of zero SEO issues and appealing content.

Data is important in an SEO's life. Do not rely too much on the data provided by automated SEO tools.

SEO tools merely display the picture of what you can do to rank better in search. But how this will impact users is the real question.

Here is what you must know:

  • SEOs with too much AI or automation without the human factor can easily be replaced by AI SEO tools.
  • SEO experts with a deep understanding of user intent and content-based interactions cannot be replaced by available AI SEO tools.

Human-centered Content Planning:

The oldest content strategy is to copy what your competitors are doing.

The focus of the traditional SEO strategy is Google search. But the fact is quite different.

The human-centric approach is the best strategy to rank higher in SERP.

Zappos is the perfect example of human-centric business and marketing. Zappos is selling shoes, and they became big and replaced Amazon as the biggest shoe sellers in the U.S.

Zappos developed a customer-centric business model. It provides a 365-day return policy, which attracted customers and helped in building trust.

Humans tend to respond better to the products where brands display quality and commitment.

It is the reason why human-centric brands rank better in Google search.

What are the human behavior signals?

Many SEOs believe that Google's ranking system is largely based on creative content, link building, and content marketing. But human behavior is more than that.

Google learns from users’s behavior. It tracks user behavior signals to find out which content is helpful and which is not.

Google wants helpful and trustworthy content.

PageRank:

In 1998, Google introduced PageRank. It is not just about linking buildings. PageRank is a human behavior tracking system to evolve search engines.

Stanford published Google's PageRank as a model to understand user behavior.

Google tracks user behavior to identify human intent.

User Behavior:

User behavior and feedback are the essential ranking signals. Google also used NavvBoost to rank pages based on human signals.

Human-centered SEO Signals:

Changes in user behavior, intent, and mood are what SEO tools cannot track. AI SEO cannot identify customers's needs or emotions. SEO tools lack the capability to understand the pain points.

Traditional SEO is still based on keywords, ideas, and optimization sourced from data provided by SEO tools.

A human SEO approach is different than this.

It is necessary to focus on content that builds narratives. SEOs should fill content gaps with brand voice.

Conclusion:

User experience is what a brand’s SEO strategy must follow. Create compelling and engaging content to rank better. Fix technical SEO issues. Create content to boost conversions.

Content that influences users is best at setting narratives. When your content can change the narrative, then you can replace the SEO tools to rank better.

Focus on human-centered content. Learn the art of narrative writing with user intent.

Once you master that, then no AI tools can replace you.
 
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Wednesday, July 8, 2026

Retargeting Ads: How it works?

Ads retargeting is an essential part of ad campaigns. You must understand what Retargeting is. How can you use success retargeting strategy for your business?

Google first addressed retargeting in 2010.

Now, businesses are using ad retargeting in a much more significant way.

Retargeting Ads: eAskme
Retargeting Ads: eAskme

Is there no option you should use retargeting ads or not?

Ads retargeting is a must.

Now the question is, how should you use retargeting for your paid campaigns?

Whether a newbie or an expert marketer who wants to improve your retargeting strategy, you should know how to create retargeting campaigns.

Importance of Ads Retargeting:

Retargeting ads are pretty beneficial for eCommerce sites.

The eCommerce industry has a 0.7% to 4% conversion rate, which is relatively low. Low attention span is the reason. When people scroll a lot, they usually forget the product they are interested in. Therefore, retargeting ads help improve your marketing strategy.

People visiting your page for the first time may not be interested in purchasing anything.

For example, if only 4% of visitors want to buy from the site, then the rest, 96%, are not easy to convert.

If your retargeting ad tells people to buy your product, it will not yield any good results.

Your "Buy Now" retargeting ad will not make 96% of people convert.

What makes the retargeting ad successful?

  • Audience behavior segmentation.
  • Choosing the best ad platform.
  • Serve the right audience to pitch the right message.

How Retargeting Ads Will Help You?

The retargeting ad is unsuccessful if it only pitches to people "Buy Now."

A successful retargeting ad will follow the next buying decision step.

Your retargeting ad should understand what your customer is looking for and the steps to help him make the final purchase decision.

To make it work for you, you need a remarketing strategy.

Tagging:

Tagging is the first thing you need to take care of when running retargeting ads.

Tags are helpful when you are targeting customers on apps or websites.

Each ad platform has a different pixel for retargeting ads.

Here are the most popular ad platforms for retargeting:

  • Google Ads
  • Facebook/Meta Ads.
  • Twitter Ads.
  • Microsoft Ads.
  • Instagram Ads
  • LinkedIn Ads.
  • Twitter Ads.
  • Snapchat Ads.
  • TikTok Ads.
  • Pinterest Ads.

Adding too many pixels to your website can slow down your website.

Therefore, it is best to use Google Tag Manager for effective management.

How do Tags Work?

Tags help to identify user behavior on your website. And use this data for ad targeting on different platforms.

The best thing about using tags is to get rid of third-party cookies. Google has already announced that the brand will remove third-party cookies.

This change has increased the need for retargeting ads.

Create Targeted Audiences:

The absence of third-party cookies will impact the ad retargeting.

Instead, you will need first-party data such as email address, contact number etc.

After collecting first-party data, you will have limitless segmentation opportunities such as;

  • How do visitors come to your website or blog?
  • How long do visitors stay on your website?
  • What action visitor has completed?
  • What products or categories have they viewed?
  • Have they purchased anything?
  • How much have they spent on watching videos?
  • What offers have they found interesting?
  • How have they engaged with your social media pages?

Be creative when creating retargeting ads to remarket your business.

Upload visitors' information on ad platforms to retarget users.

You can upload:

  • First Name and Last Name:
  • Email Address
  • Phone Number
  • Address, etc.

You can easily retarget the audience when your data matches the ad platform.

With the help of pixels and tags, you can easily create an audience based on behavior.

You can create remarketing lists after linking your Google ads account with your YouTube channel.

Message:

Once you understand your audience, choosing the right message is next.

Use different messages for different audience segmentations.

Dont look for the sale but look for the process that can lead the user to make the purchase.

Here is what you can do in different scenarios:

  • For Product Awareness, create an informative page and lead the visitor to that page.
  • Use qualifying factors for retargeting ads and make them download whitepapers.
  • Lead people to lucrative offers once they complete an action.
  • Don't use push marketing. Ads retargeting is about Pull marketing.

Ad Platform:

After choosing the tags, pixels, audience, and message, the next step is to choose the right ad platform for retargeting ads.

I have already shared the major ad platform for retargeting.

How to find the best retargeting platform for ads?

You can find the answer with these.

Critical Demographics of your audience.

Pages where the audience spends maximum time.

Why are you collecting user information?

The message you are sending to your audience.

You will find the answer to these questions when you dig deeper into user behavior and understand buyers' personas.

And with that answer, you will find the best retargeting ad platform.

Conclusion:

Use the above tips to see growth in conversion and revenue.

In the past few years, retargeting options have changed a lot.

Now, it is necessary to align retargeting with users' expectations.

Keep an eye on what is changing in the ads and marketing industry. It will keep you updated with the changes in retargeting strategies.

Still have any question, do share via comments.

Share it with your friends and family.

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Wednesday, June 10, 2026

17 SEO Mistakes, How to Fix Them, and What to Avoid

Search engine optimization continues to trip up even experienced marketers, costing businesses visibility and revenue.

This article breaks down 17 common SEO mistakes and provides clear solutions to fix them, drawing on insights from industry experts who have diagnosed these issues across hundreds of campaigns.

Each mistake comes with a practical remedy and guidance on what to avoid moving forward.

SEO Mistakes, How to Fix Them, and What to Avoid: eAskme

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1. Too Much AI:

Access to everything is bad. The same applied to AI. At the same time, AI tools are making the job of SEO professionals and content creators easy. But relying too much on AI hurts the quality, human insight, and organic ranking.

It is advisable to use Ahrefs, SEMrush and other SEO tools. But only to understand the issues and fixes. You cannot let AI do SEO or generate content for your website.

I have already shared why you should not use ChatGPT for Law Firm SEO.

Gaurav Kumar, Founder and CEO at eAskme.  

2. Handle Noindex and Launch Checks Seriously

We relaunched a client's e-commerce website a few years ago and about 1,500 URLs ended up as "crawled - currently not indexed" in Google Search Console. It happened because every new category page got shipped with a global noindex tag in the frenzy of the final stages of the relaunch. As a result, the client's organic revenue fell by about 30%.

I will admit that a bit of panic did set in at first, but we were able to jump in and fix it in time.

- We stripped the rogue tag and rolled out a new lean XML sitemap with priority pages only.

- We also built a new internal-link web that pointed to the affected categories and requested re-indexing (in batches to avoid crawl-budget shock).

The pages eventually regained rankings in about six weeks and sales then began to bounce back.

The lesson we learnt is that your staging-to-live checklists should be treated as sacred.

Isaac Bullen, Marketing Director, 3WH

3. Slow Down and Earn Trust

When I first started my business, I was very focused on getting content out quickly, rather than spending time on creating quality content. I wrote a tremendous volume of AI-generated SEO articles for clients (all B2B) in a very short period of time, and I believed that boosting the articles with internal linking and optimizing my website would make up for any shortcomings in the articles, quality-wise.

This did increase the amount of digital traffic to our websites, but it did not convert into increased leads. Even though the content ranked well, it did not align with the challenge that our target audience was attempting to address.

While I technically did match what our target audience was searching for, I had not built any trust with them. Per comments from the sales team, prospective customers viewed our content as being "generic," even though, by the metrics of Ahrefs, our articles looked good.

Therefore, I ceased publishing content because I had the opportunity to interview the sales staff to learn about the challenges faced by prospective customers and what words they were using to describe the transactions, as well as examples that were received well during earlier calls.

I utilized AI to generate outlines of the content and to clean up the final drafts of the articles, but the primary authorship remained with humans.

Tracking rankings is not an accomplishment; tracking revenue is more important.

Do not use AI or the need for speed as an excuse to publish subpar content.

Mike Khorev, SEO Consultant, Mike Khorev

4. Guard Robots Files With Rigid Checks

I once blocked an entire subdirectory in robots.txt during a site migration and killed 40% of our organic traffic in three weeks. We caught it during a routine crawl audit, but the damage was already done... Recovery took us 2 months even after we fixed the file and resubmitted the sitemap.

Everyone makes technical errors - the lesson was that I had no process to catch it before it shipped.

So now I run a staged deployment checklist that includes:

  • A crawl simulation on staging,
  • A manual robots.txt review by two people,
  • And a post-launch monitor that alerts me if indexed page counts drop more than 5% week over week.

I also keep a rollback-ready version of every configuration file we touch.

My recommendation is to treat robots.txt and canonical tags like you treat database migrations. One wrong line can erase months of work, so you should always build a review gate.

Milosz Krasinski, International SEO Consultant, Owner, Chilli Fruit Web Consulting

5. Validate SERPs, Not Just Scores

One SEO mistake that taught me a hard lesson was relying too heavily on keyword difficulty scores from tools. Early on, I targeted keywords labeled "easy," only to find page one dominated by high-authority brands that perfectly matched user intent.

Rankings stalled, and a lot of time was wasted.

I fixed this by making SERP review mandatory before creating content.

Now I check:

  • Who ranks
  • Their Domain Rating
  • Traffic
  • Backlink depth
  • How well they answer the query

In many cases, that shift helped pages rank within 60 days because we focused on keywords where competitors had thin content and fewer than 10 referring domains.

My advice is simple. Treat keyword difficulty as a directional signal, not a decision-maker. Always validate the SERP manually.

Nick Mikhalenkov, SEO Manager, Nine Peaks Media

6. Strengthen Strategic Internal Links

Early on, I made the error of neglecting internal links while chasing external backlinks. I used to assume that authority came only from external sources.

At the time, I would publish great content and move on to outreach, which leaves new pages un-integrated into the site's structure. This created a growing number of orphan or poorly connected pages that Google could index, but couldn't crawl, analyze, and rank consistently.

We rectified this by embracing a streamlined hub-and-spoke model. We evaluated the site for high-performing authoritative pages and linked them to relevant new pages, both topically and chronologically, to redistribute link equity and reinforce contextual relevance.

Furthermore, we instituted a publishing rule that every new page has to be contextually linked to multiple relevant pages and has to have significant inbound and outbound links at launch.

I recommend applying the same level of thought and strategy to internal linking as you would to external linking. Internal links guide crawler behavior, outline the interrelationships of the content, and indicate to the algorithm the hierarchy and importance of the content.

Overlooking internal links means you are leaving one of the best, most efficient, and high ROI levers in SEO untouched.

Brandon Schroth, Founder, Reporter Outreach

7. Fix Foundations Before You Scale Content

One of the biggest SEO mistakes I made was focusing too much on publishing content quickly without first fixing the technical foundation of a website.

We once pushed a large batch of blog and service pages for a client, but traffic barely moved because the site had indexing issues, slow load times, and weak internal linking.

Adil Rafeeque, Co-Founder and CEO, SEO Expert

8. Delete Thin Lists, Focus Relevance

I wrote too much content, and ended up with irrelevant content.

I run a blog about Lisbon, Portugal, and I had written a lot of great content, the blog was growing, but then I hit a wall and started writing "best X" articles, and a lot of them, and this started hurting me. It was clear that Google saw this as thin, easy-to-duplicate content, especially if you don't add a personal edge to each piece.

I then deleted all of these and significantly reduced my content, which actually made my traffic start growing again. Likely because Google started scoring my overall website content score higher.

Phillip Stemann, SEO Consultant, Phillip Stemann

9. Create Hyperlocal Pages With Real Proof

Okay, so here's a little SEO lesson I learned the painful way. Years ago, I worked with this multi-location firm.

We were in a rush, so we cranked out location pages with almost identical content, just changing the city name. And yeah, it actually worked for about three months.

But then Google updated the algorithm, and traffic nosedived. They went from pulling in 180 leads a month to struggling to break 60.

Had to go back and do it right. We rebuilt every page from the ground up and made it hyper-local.

Showed who worked in that office, pulled in actual reviews from people in that city, talked about real cases, and even gave directions from local landmarks.

It was a pain, but six months later not only were they ranking again, but their conversion rate doubled. Because people actually felt like the content was for them.

Since then, I keep saying the same thing over and over. If your content doesn't feel like it was written for a real person in a real place, it's not worth publishing. Templated junk won't cut it anymore with Google or with people.

Sasha Berson, Grow Chief Executive, Grow Law Firm

10. Chase Gaps, Not Competitors

I used to just copy what my competitors were ranking for.

Sure, I got some traffic, but I was always one step behind. Now I look for the specific questions people are searching for that nobody is answering. That's what actually works.

My advice is to stop chasing the crowd and find those gaps for yourself. It's a much better way to grow.

Justin Herring, Founder and CEO, YEAH! Local

11. Use Natural Anchors With Context

I once went too far with anchor text optimization. The rankings jumped up fast, but then Google caught on and our organic growth flatlined.

Working with national brands since then showed me that natural, relevant links are what actually last. My advice?

Be genuine with your linking. Focus on context over keywords to avoid penalties.

Miguel Salcido, CEO, Organic Media Group

12. Refresh Winners Before You Pursue New Topics

Years ago I made the mistake of letting my old blog posts get stale.

Our best repair guides started dropping in Google, and traffic fell off a cliff. But once we went back and updated those old posts with fresh info and clearer photos, the traffic came right back. Seriously, don't just chase new topics.

The real opportunity is updating what you already have out there.

David Fuller, Marketing Director, WorkshopManuals

13. Prefer Evergreen Guides, Skip Trend Bait

My big early mistake was chasing whatever tech keywords were trending. I had one post get a huge spike in traffic for a week, then it vanished as soon as the news cycle moved on. It was ugly.

I switched to writing detailed guides and updating them regularly. Our traffic stopped being a roller coaster and I could tell people were actually finding the content useful.

Now I build content that lasts instead of chasing those quick hits.

Branden Shortt, Founder & Product Advisor, The Informr

14. Recommit to SEO for Durable Growth

I believe that in past years I neglected my SEO strategy, partly due to the success I achieved on other platforms when it came to converting clients. It wasn't until about a year ago that I started giving it the importance it truly deserves again.

In recent times, SEO has become more important than ever, and there are significant opportunities to be found.

First of all, many people have stopped investing in it after the latest Google updates, which penalized many small businesses that were not engaging in any bad practices.

Secondly, this has impacted many agencies that were doing good work but, after traffic drops, ended up losing clients. If we add to this the fact that SEO is not "trendy" right now, we find a large number of empty spaces waiting to be filled.

On the other hand, artificial intelligence and LLMs are fed by search engines. So the way to appear in them is, once again, SEO.

As if that weren't enough, just look into the most disruptive brands and I can assure you that the most successful ones all have a strong SEO strategy. It doesn't matter if they are better known for their social media presence or for viral videos—those that perform best have an SEO strategy behind them.

For these reasons, I have launched several websites and am collaborating with other media outlets to strengthen my presence in organic search.

Jose Garcia, Economista 3909 - Marketing 447, Economista Jose Garcia

15. Make SEO a Continuous Discipline

I started a global branding and digital marketing firm 24 years ago. It is a common mistake to believe that SEO is a one-time activity—set it and forget it.

Search engines are constantly updating their algorithms and keywords and evolving, so SEO needs to be an ongoing commitment for content to stay on top—page 1. Search engines will continue to find and serve up websites that contain the best content and information to meet its users' needs, so make it an ongoing priority.

Google updates algorithms regularly to make sure sites aren't tricking audiences with their process to move up the ranks unfairly.

One big danger is making a lot of small SEO changes to your site. Although it's smart to update your site with fresh content, you have to be careful it doesn't look suspicious and get penalized by the search engines.

It's also a danger and rookie mistake: if you discontinue a product or service, do not delete the page from your site.

Once the page is deleted, both the URL and the keyword for which it was ranked will disappear. Don't risk losing your ranking if you delete a product or service. Simply add a message for visitors to your site to redirect them to the relevant page. You work hard to get your strong rankings, so don't let that effort go to waste unnecessarily or by accident.

It is important to conduct thorough SEO audits to uncover any technical SEO issues, including broken links. Good internal and external links show both users and search crawlers that you have high quality content.

Over time, with content changes, links can break, which creates a poor user experience and reflects lower quality content, a factor that can affect page ranking.

SEO is a great strategy to increase your visibility, awareness, credibility and rankings online.

Paige Arnof-Fenn, Founder & CEO, Mavens & Moguls

16. Target High Intent, Not Volume

I'm with Gotham Artists, a boutique speaker bureau, and the SEO mistake that probably cost us the most time and money early on was getting obsessed with high volume keywords instead of actually thinking about search intent.

The Mistake:

I went hard after broad terms like "motivational speakers" because the search volume looked incredible—like thousands of searches every month.

We eventually ranked pretty well for it, traffic started coming in, and I felt like I was crushing SEO.

Except almost none of that traffic actually converted.

When I finally looked at what these visitors were doing, most of them were students doing research projects, people just browsing for inspiration, or folks looking for free content. Not a single company with an actual budget trying to book a speaker for their event.

Meanwhile, we were barely showing up for searches like "keynote speaker for healthcare conference" or "innovation speaker for tech summit"—way lower volume, but those were the people actually trying to book speakers with real budgets and timelines.

What I Learned:

Traffic by itself is basically a vanity metric if it's the wrong traffic. A hundred people searching "book keynote speaker for annual sales kickoff" are worth way more than ten thousand people searching generic stuff. Search intent is everything.

How I Fixed It:

I completely flipped the strategy. Instead of chasing volume, I started looking at what actual buyers were searching for.

I went through our inquiry forms to see what phrases people used, listened to how prospects described what they needed on calls, looked at the specific types of events and industries we actually served.

Then I built content around those long-tail, high-intent searches. Things like:

  • "how to choose a speaker for a virtual leadership conference"
  • "typical speaker fees for corporate events"

The search volume looked tiny compared to what I'd been targeting before, but the traffic that did come was actually qualified.

Traffic went down overall, but leads and actual conversions went up, which is obviously what actually matters.

What I'd Recommend:

Don't get seduced by big search volume numbers.

Before you invest time optimizing for any keyword, ask yourself: if someone searching this lands on my site, are they actually a potential customer, or are they just... someone who typed some words into Google?

If they're not in your target market, the ranking is worthless. Good SEO isn't about more traffic—it's about the right traffic.

Austin Benton, Marketing Strategist, Gotham Artists

17. Align Topics With Real Questions

Keywords must be backed with intent and alignment. During the first months of EVhype, I managed to publish dozens of EV-related pages. They were great in tools, but they didn't match the search intent.

Thus, they prompted users to abandon the pages. We had lots of visitors, but repeat visits were absent, and bounce rates were above 75%.

Deleting non-performing pages didn't seem like a productive step to many. Consolidating content and optimizing the pages to new, specific, user-generated questions, such as:

  • The costs of charging an EV.
  • The home installation steps.
  • Or the calculations of range anxiety, helped the pages perform better.

In a brief period, we reduced the number of indexed pages by 40% and more than doubled the number of visits attributed to organic search. Moreover, people started staying longer on the new pages.

I would say step aside from the volume trap. It doesn't matter if you rank for 10,000 keywords and none of them are the right ones.

Rob Dillan, Founder, EVhype

Other helpful articles:

Saturday, June 6, 2026

Best GEO Strategies to Rank Your Brand in AI Search Engines

Generative engine optimization (GEO) is the way to get features or rank in AI search engines. It enhances your online reach and visibility.

AI search engines are expanding. Users are also adapting AI search engines more than traditional search engines. ChatGPT has 900 million active users weekly. Google AI Mode and AI overviews are ranking and citing publishers’ content with links.

You must learn how to turn your business into a brand.

Best GEO Strategies to Rank Your Brand in AI Search Engines: eAskme
 

Other people are reading: AI Agents Use Trust to Choose Which Brands to Recommend: What Marketers Should Do? 

GEO Strategies to Rank Your Brand in AI Search Engines: 

Every time an AI search happens, it gives the opportunity to rank for maximum visibility. 

AI search is here, and it is time to understand how to use Generative Engine Optimization (GEO) to rank your brand in AI search.

Without delay, here are the steps you must take to rank your brand in AI search.

Measuring Your Brand’s AI Visibility:

The very first step to measure if your brand is ready for AI search or not. You can do it by measuring AI visibility.

It will help you find out:

  • Does AI search follow your brand or not
  • Which AI platforms mention your brand
  • Which are the most relevant queries
  • How many times are your competitors cited in AI search?

Measuring is necessary to optimize your efforts.

How to Measure AI Visibility of Your Brand?

Marketers and GEO experts are still not using this step.

It is easy to measure your brand visibility:

  1. Note down the top questions your customers ask
  2. Ask Gemini, ChatGPT, and Perplexity the same questions.
  3. Find out where AI search mentions your brand, and where your competitors rank better.

Do it every month to measure the changes in the AI search results. Measuring your brand mentions and citations in AI search is a tedious task.

For this purpose, you can use the best SEO tools like Ahrefs or SEMrush.

Both track AI citations and brand mentions.

For example: go to SEMRush, open the AI-SEO tab and enter the URL or domain to track AI visibility. You can also check the same by adding the domain name in the SEO search.

It displays the AI visibility score, number of mentions and cited pages.

This way, you can easily find out where your brand ranks in AI search and where you need to work more.

SEO for GEO:

SEO is not dead. It is more important to use SEO for GEO.

Generative search still ranks websites ranking better in traditional search engines. Most AI searches pull results from Google search.

It is necessary that your brand rank is better for targeted queries in Google search to influence the AI search ranking.

Pages that rank better in SERP also rank better in AI search results.

Google AI Overviews also cite links to websites that rank better than competitors in organic search.

Do the following:

  • Write quality and creative content with engagement triggers.
  • Build backlinks
  • Fix Technical SEO.

Search engine optimization works as the foundation stone for GEO. But to rank in GEO, you need to do more.

Best GEO Practices:

Make sure that your content follows the best GEO practice to gain a better ranking.

Here are the best GEO practices:

Write for Visibility:

In GEO, visibility is more important than anything else.

The more content and links get cites the better chances you have attract traffic from AI search engines.

Create content such as case studies, statistics, expert-led research, and tutorials.

Content Structure:

Content structure is as important for AI search as it is for Google search.

Use titles, headings, descriptions, FAQs, paragraphs, with creative visuals and infographics.

Also, repurpose your content on multiple channels to increase its value.

Structured Data and Schema Markup:

AI search engines look for structured data and schema markups.

These two things help AI search bots to read your content and understand it. It is necessary to optimize your website and content schema.

Topical Authority:

Topical Authority is always important.

You must be an expert in the niche you are writing about. It is better to research and collect facts before writing content. Proofread content to fix mistakes before publishing it.

Note: To maximize the benefits of AI search visibility, you need to optimize your website, content, and marketing strategies. 

Target UGC:

UGC platforms like Reddit help you rank better in AI search. Google is ranking Reddit content more than in the last 5 years.

This is not a dilemma. User-generated content is becoming the trusted source of information.

AI search engines also rank links from Reddit discussions.

It is a must to rank your brand in Reddit threads.

How to Rank Your Content in UGC Discussions:

  • Target audience: Choose the UGC platform based on your target audience. Not every UGC forum is best for your content and audience. For example, you do not want to share football content in SEO communities. Join subreddits based on your niche and customers.
  • Contribute: Platforms like Reddit focus on user participation. Rather than chasing links, target contribution. Making useful contributions to communities, and it will help you improve your Reddit Karma.
  • Be Genuine: When helping someone in UCG communities, make sure to be genuine. Only give tips when you have experience in something. Read questions before answering and only provide relevant information.
  • UGC in AI Search: Check which threads are ranking in AI search. Join those communities and reply to those threads. Be active and responsive as much as you can.

Listicles:

Listicles are also popular in AI Search. Be ready to optimize your marketing strategy to get featured in listicles.

Get your interview features in top publications. Be part of expert roundups and earn links from listicle articles.

How to target Listicles for GEO:

  • AI Search for Listicles: Run a query on the AI search engine to find out which listicles are ranking. Use ChatGPT, Perplexity, and Gemini for this. Note down the URLs for the next step.
  • Pitch: Pitch your listicle contribution to the publishers. Make sure that your idea adds value to the listicle. It is the only way to get features in top-ranking articles.
  • Get Featured: Engage with the content of the publisher to add value to their websites. It will work as an ego boost and make them notice your contribution and feature them without hiccups.

Be the First:

GEO has just begun. It is the best time to adopt strategies that can help your brand to rank better in AI search results.

Keep tracks of changes in AI search to adapt to the latest strategies. Test everything and keep those that work best for your audience and goals.

Conclusion:

Brand’s presence in AI search is all about being visible.

The more you are active in your niche with expert knowledge and authority, the better chances you have to get featured and cited in AI search results.

While targeting AI search results, do not forget that the real business is your audience.

Always work for your audience, and you will get the best rankings without too much effort.

Other people are reading:

7 Image Search Techniques: Guide to Find, Verify, and Optimize Visual Content

Image search techniques has not only made it easy to search for products and services but also made reverse image search possible. With a few words or keywords, you can find the right image for your blog and content.

Google Lens processes 12 billion searches every month. Image search itself accounts for 25% of all Google searches.

If you are a marketer, blogger, designer, researcher, or journalist, then image search should be your most powerful tool.

Image Search Techniques: eAskme

Other people are reading: How to Deal with Evergreen Content

While everyone knows how to search on Google, very few know how to search using images.

Today, I am sharing everything about image search techniques in 2026, such as:

  • What is Image Search?
  • How Do Image Search Engines Actually Work?
  • The Main Types of Image Search Techniques
  • What are the Best Image Search Tools?
  • What are the common Mistakes and the future of Image Search?

Image Search:

Image search requires visual input. It is different than traditional text-based search. You can use image search to search for images, products, information, and sources online.

It is easy to upload a photo, image URL, or use a mobile camera to capture a physical object and search to get related results.

There are two types of image search, which are quite popular:

  • Forward Image search: You type a keyword to retrieve images.
  • Reverse Image Search: You use images to get relevant or related images.

The modern Image search techniques use both approaches to blend visual search with text metadata and deliver the best search results.

Different people use image search for different purposes:

  • Journalists: Image search to fact-check viral photos.
  • eCommerce: Use images to identify stolen product shots
  • Designers: Use image search to find the source of visuals.
  • Researchers: Use image search to track scientific diagrams.
  • Brands: Use to detect logo misuse.

How Do Image Search Engines Actually Work?

Before learning the image search techniques, it is a must to understand how the image search works. It is not a single algorithm.

It is a layered search that covers 3 stages: extraction, indexing, and measurement.

Feature Extraction:

It is the first step when you upload an image.

Search engines convert the image into a numerical representation known as a vector or embeds to analyze properties such as spatial patterns, textures, shapes, edges, and colors.

  • Traditional methods: Scale-Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF) detect and describe image features. These features stay the same regardless of the size of the image. This type of search struggles with complex image searches.
  • Modern deep learning methods: Convolutional Neural Networks (CNNs) such as VGG and ResNet were trained on billions of images. When you upload a new image, it produces 2048 dimensions for ResNet. It understands information like color, shape, relationship, contextual patterns, and what object presents.

Indexing:

It is the second stage.

After extracting the image features, it is necessary to organize the retrieval across billions of images.

  • Locality-Sensitive Hashing (LSH): It maps similar features into the same hash bucket. It saves time as your image does not need to be compared with billions of images, but only with the images in that bucket. The system only extracts information from the same set of vectors.
  • Tree-based structures: Facebook AI Similarity Search (FAISS) and Approximate Nearest Neighbors Oh Yeah (Annoy) are users for large-scale systems. FAISS supports vector quantization and GPU acceleration. It compresses HD vectors to complete a scaled search in seconds.

Similarity Measurement:

It is the final stage. It compares your query feature with indexed image candidates to rank according to relevance.

It uses metrics like:

  • Euclidean distance: Straight line distance between two vectors in features.
  • Cosine similarity: Measures the angle between two vectors. It works best for semantic embedding.
  • Hamming distance: It is used for binary hash representations. It counts the number of bit positions where hashes differ.

Image Search Techniques:

Now that you know how image search works, it is time to understand what the best image search techniques are.

1. Keyword-Based Image Search:

It is one of the most common types of image search. You type the word or query in the search engine, and it displays images ranked by relevance.

The search engine will use your text to match with the metadata of indexed images. It uses file name, alt text, body text, captions, structured data, and page headings.

This method works best for content discovery and inspiration. The only weakness of this method is that the success of its search depends upon how well the images are labeled and described.

It means that a stunning image with no alt text and no context will not appear, even if your query is related to that image.

Tips:

  • Use layered descriptors rather than using single-word queries.
  • Include features like color, style, orientation, and resolution.
  • Use filtering tools for size, usage rights, and date.

2. Reverse Image Search:

Reverse Image Search is a popular way to identify the misuse of images or logos. In this search, you add an image to the search rather than text.

The search engine analyzes your image and compares it with already indexed images to display the search result. It displays all the pages where that image appears.

Professional Use Cases:

  • Verify the source of the image
  • Detect unauthorized use of your own images
  • Identify if the image has been manipulated
  • Find an HD version of low-quality images
  • Locate products seen on social media without their names.

Note: Fact-checkers and journalists rely on reverse image search. 68% of journalists use it to identify the source of images.

3. Visual Similarity Search:

Visual Similarity Search is different than Reverse Image Search.

Reverse image searches look only for exact or near-match images. Still, visual similarity searches find images that have similar structural characteristics or aesthetics, such as style qualities, design patterns, layouts, and color palettes.

Pinterest Lens is the best example of Visual Similarity Search. You upload a photo of a blue velvet sofa, and the platform searches for related furniture even if there is no sofa in the search results.

It is beneficial for businesses like eCommerce, fashion, and interior design. You do not need to know the product name, designer or category to search the platform.

Visual similarity search relies on Convolutional Neural Networks (CNNs). These capture compositional and aesthetic information.

4. Object Recognition and Selective Search:

Rather than searching the whole image, it allows you to select a portion of the image and perform a search based on your selection.

Bing Visual Search Crop Feature allows you to crop an image and then perform a search. You can select watch on lifestyle photos, and it will display the images related to that watch.

Google Lens also performs a similar function.

It is the best technique when you must search for a part of the image rather than the whole image. For example, you can search for the logo on the brand magazine cover image.

Note: the technology behind object recognition and selective search uses extraction and similarity features for a cropped region of the image rather than the complete image.

5. Pattern and Color-Based Search:

Some image search engines and design platforms offer advanced filters like color palette or visual patterns.

Brand managers and designers can use pattern or color-based searches to find images within the hue ranges.

Dedicated design tools use techniques to extract color histograms and palette information during feature extraction.

They later use this information with feature vectors.

6. Facial and Object Recognition Search:

Facial recognition search identifies faces or individuals across image databases. They compare facial geometry extracted from uploaded photos.

Object recognition extends facial recognition search to logos, animals, vehicles, and other items.

  • Media organizations are using these techniques for photo archives.
  • Law enforcement also uses these for identity verification.
  • Social media platforms use it for content moderation.

Yandex Images, LensGO AI, and EyeMatch are the best examples of facial and object recognition search engines.

Note: Always approach facial recognition search with a sense of privacy and ethical consideration.

7. Metadata and EXIF-Based Search:

Image contains structured information. Cameras and editing software often leave information like EXIF data, camera model, GPS coordinates, lens information, and timestamp. 

Tags, file names, captions, and all text also contribute to how search engines categorize and retrieve image search results.

EXIF data is less relevant in search results. But Metadata is still a critical part of image search results.
For example, A file name green-artistic-coffee-mug.jpg is more discoverable than 123.jpg.

The Best Image Search Tools in 2026

Tool Best For Reverse Search Standout Feature
Google Images and Lens General discovery, SEO Yes Massive index, entity recognition, Lens integration
LensGo AI Facial recognition, copyright monitoring Yes Category filters such as; People, Duplicates, Places, Similar; alert system
TinEye Image provenance, copyright protection Yes Fingerprint finds altered or resized copies
Bing Visual Search Product research, object isolation Yes Crop-to-search within an image
Yandex Images Faces, landmarks, Eastern European content Yes Strong facial and object recognition
Pinterest Lens Fashion, lifestyle, interior design Yes (visual) Visual discovery
Openverse Openly licensed images No Creative Commons filters
Baidu Images China market research Yes Localized indexing of Chinese-language

Note: No single image search tool is perfect. You may need to use more than one platform for research and verification. Google Images and TinEye offer maximum coverage for reverse image search. Bing's crop feature and Pinterest's visual similarity results are best for product research.

Image Search Techniques for SEO:

Even in 2026, images are underused organic traffic channels.

You must understand that optimized images can rank better in Google Images. It can also appear in Discover and visual carousels. This strategy increases topical authority.

Here is how SEOs can Optimize Images for Search:

Technical Optimization:

  • Use descriptive and relevant file names.
  • Do not use serial numbers and underscores.
  • Serve images in AVIF or WebP formats.
  • Use lazy loading to improve load time and CWV score.
  • Make images crawlable.
  • Use canonical tags.

On-Page Optimization:

  • Alt text is a must for images. Make it descriptive.
  • Place images near related body text.
  • Us captions
  • Use ImageObject schema markup to add structured data.

Image Sitemaps:

eCommerce, news websites, and portfolio platforms should submit image sitemaps. This ensures that your CMS, lazy loaders, and JavaScript are discoverable and indexed.

Image sitemaps ensure that images get an indexing opportunity.

Measure Image Search Performance:

For the success of your image SEO best practices, it is a must to measure image search performance. Use the Image Search Filter in Google Search Console to track clicks, impressions, and CTR.

Deep impressions, but low CTR means image quality is poor, or the image is misaligned with the content.
Low impressions indicate relevancy or indexing issues.

Reverse Image Search for Brand Protection and Verification

The maximum use of reverse image search is to identify misuse of intellectual property and detect misinformation.

Photographers and creative professionals:

Use LensGO AI and TinEye to run regular reverse image searches. Whenever your image appears on a new platform, these platforms send you a notification.

Brand Managers:

Monitor unauthorized use of logo and brand assets.

You can use reverse image search to identify counterfeit products, impersonating them in ads, and unauthorized use of brand images.

Journalists and researchers:

Do not blindly publish images sourced from the internet.

Use third-party image search tools to perform reverse image search. Identify when the image first appeared on the internet.

eCommerce:

Monitor if a competitor uses your images.

Unique and original images are required to rank in search results.

Image Search Results Common Mistakes:

Low-quality images:

Low-quality and heavily cropped images are bad for image search.

They do not carry enough visual information to perform research.

Single Image Search Engine:

Relying on only one image search engine is also a mistake. You must use two or more search engines to find out everything related to the images.

Do not Ignore Image SEO:

Ignoring Image SEO reduces your chances to rank in image search. Do not waste the value on your digital assets.

Stock Images:

Relying on stock images often creates issues. Stock image platforms sell the same image to thousands of websites. It becomes hard to identify who owns the image.

Future of Image Search Techniques:

Multimodal AI has changed the trajectory of image searches. It uses text, images and even voice in a single query to search for images.

Google Lens already offers real-time camera-based search. It will mature into a more physical environment. Augmented reality devices will make users identify products, landmarks, artworks, and plants by just looking at them.

AI-generated image detection is also becoming important for image verification. Synthetic images are becoming indistinguishable from naked eye.

Conclusion:

Image search techniques have evolved from text-based search to multi-layered image search. Real-time visual recognition, semantic embeddings, extraction algorithms, and approximate indexing make image search effective.

You can use image search techniques to verify a photograph's authenticity, unauthorized use of brand assets, and find a product you saw online. SEOs can also optimize images for Google Image search for better ranking.

There is one thing common across all image search techniques, and that is the alignment between an image's visual content, metadata, context, and intent.

FAQs:

What is the difference between reverse image search and visual similarity search?

Reverse image search works as an investigation to find the misuse of digital images. Visual similarity search finds images based on structural qualities.

Which image search tool is most accurate for finding stolen or duplicated images?

TinEye is the most accurate tool to find stolen and duplicate images.

Does image search work for identifying AI-generated images?

It is not yet reliable to identify AI-generated images.

Can image search be used for SEO, and does it drive traffic?

Yes. SEOs can index their images in Image search results and boost their organic traffic.

What is alt text, and how important is it for image search?

Alt text is an HTML attribute that describes the content of an image.

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