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.

 

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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.

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Google Adds AI Content Verification to Search: Everything You Need to Know

Every day, you watch hundreds of images without knowing the difference between human-created and AI-generated images.

It is the unsettling reality of modern image designs. To make things easy for you, Google has added AI content verification SynthID watermarking technology to Search.

It is not a minor feature update. It is one of the most important features to build digital trust. It will help every user who is wondering if the image is AI-generated or not.

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Google AI Content Verification to Search:

Google announced that it is expanding the SynthID verification tool into Google search. It is also part of Google Chrome.

The company also announced the launch of a new AI Content Detection API on Google Cloud. It also adds C2PA Content Credentials verification in the Gemini App.

Google is also expanding its partnership with AI image generation tools.

Let’s find out everything about the announcement.

What Is SynthID, and Why Should You Care?

If you are not aware of what Google SynthID is, then you have a lot to learn.

Google introduced SynthID in 2023. It is a digital watermarking technology that scans AI-generated images.

It does not add a label or digital stamp to images, but it embeds signals into AI-generated content at the time of creation.

You cannot see any watermark. You also cannot remove it. It is only for Google to verify using tools.

Google has integrated SynthID across its digital media products and models.

Google is using SynthID to mark more than 100 billion images and videos. It is equivalent to 60,000 years of audio content. It is not a program but an infrastructure.

Now, Google announced that SynthID verification is a part of the search to check if the images were AI-generated or not.

You can use the following tools:

• Google Lens
• AI Mode
• Circle to Search

You can also upload the image to Google and ask, "Is this made with AI?" or "Is this AI generated?"
Google will check the content for SynthID watermarks.

There is no separate app or third-party tool. It is part of your search experience.

C2PA Content Credentials:

SynthID detects AI-generated images. But it's C2PA Content Credentials that verify if something is real or not. It is an industry standard to record how media was created or modified.

No matter if it was captured through a camera, edited in Photoshop, or enhanced using AI tools.

Google has added C2PA Content Credentials verification to the Gemini app. It is also a part of Google Search and Chrome.

It lets users check if something is AI-generated or altered using AI tools.

Here is how it matters:

• C2PA verification can confirm that the viral image claiming a real news event was taken by a camera or generated by AI.
• It also helps insurance companies to verify the image evidence before processing the claims.
• It also helps voters verify that the political images spreading on social media are genuine or fake.

Google has already tested this with Pixel phones. Notably, Pixel 10 was the first smartphone with C2PA Content Credentials for images in the native camera app.

Google has also expanded it to include video capture on Pixel 8, 9, and 10.

It means that when taking a photo, it will add details that the image was not AI-generated.

The New AI Content Detection API:

Google is not only helping individuals but also businesses. It has launched the AI Content Detection API on Google Cloud's Gemini Enterprise Agent Platform.

Right now, this API is available for a trusted group of partners only. This API can detect AI-generated content made by Google’s own models and other popular AI models.

The practical use cases include:

• Sort content feeds to filter AI-generated images.
• Check if the photographic evidence is real or not to prevent insurance fraud.
• Fast checking at scale for media and news agencies.
• Label synthetic media for transparency.

Google’s initial partners with API access include Shutterstock, Snap, Avid, Fox Sports, and Canva. Google is expanding to many platforms to reach millions of users.

SynthID Is Going Mainstream:

Google is not the only brand that uses SynthID. Many other brands are collaborating with Google to make SnythID mainstream technology.

OpenAI, Kakao, and ElevenLabs:

OpenAI, Kakao, and ElevenLabs are collaborating with Google to use SynthID watermarking technology in their AI-generated content.

OpenAI is the company behind ChatGPT and Dall-E. The cross-competition collaboration will bring better results.

Open-sourced SynthID text watermarking technology:

Google has open-sourced SynthID text watermarking technology. Anyone can implement it. Google has also partnered with NVIDIA to watermark AI-generated videos.

Meta:

Meta also labels camera-captured media with Content Credentials. It brings trust and authenticity to images and videos. Two tech giants are sharing C2PA technology as standard.

Laurie Richardson, Google's VP of Trust & Safety, and Pushmeet Kohli, Chief Scientist, have talked about the industry-wide collaborations.

Digital media spread faster. A photo taken on Pixel can be shared on Facebook, WhatsApp, Instagram, X, and other platforms.

What SynthID Can and Cannot Do?

SynthID is a technology, and like any other technology, it also has some benefits and limitations.

SynthID can detect:

• Images, videos, and audio created with AI tools that have implemented SynthID watermarking.
• Content created with Google's generative AI products
• Content from partner companies that have adopted SynthID

SynthID cannot detect:

• AI-generated content from tools without SynthID watermarking.
• Content where watermarks may have been deliberately removed.
• Older AI-generated content before SynthID.

These are the reasons why Google is pushing SynthID technology for global adoption. The more platforms that implement SynthID, the larger the content it can detect.

What Does This Mean for Creators, Publishers, and Everyday Users?

Content Creators:

It is a must to understand SynthID before you generate images, videos, and audio using AI tools.

Content created from the tools that have adopted SynthID is identifiable.

It is not a bad thing. It creates transparency about AI-generated content.

Publishers and Media Organizations:

The AI Content Detection API is there to help you.

You can check whether the submitted photos, videos, and audio clips are AI-generated or not.

API integration into workflow increases the capability to analyze stock photo platforms, newsrooms, and content moderation teams.

Everyday Users:

It is best to use these tools. It will help you easily identify if the images or content were generated with AI or not.

If you have doubts about the image, you can always ask Google if it was made with AI.

Businesses:

API and verification tools help marketing teams and eCommerce managers to manage thousands of images with ease.

It makes the verification process easy.

History of SynthID:

• 2023: Google launched SynthID for image watermarking only.
• 2024: Google expanded SynthID to more content types. It also added “About This Image” to Circle to Search and Lens.
• 2025: Pixel 10 becomes the first smartphone with native C2PA Content Credentials.
• 2026: SynthID verification expanded to Google Search and Chrome. C2PA verification launched in the Gemini app. 

Conclusion:

Google is committed to adding AI content verification to search and all other products and services. It is a way to ensure transparency and is necessary to build trust. Google has been building and expanding SynthID since 2023.  It has already embedded technology into 100 billion content pieces.

Google is working in the right direction. SynthID verification appears in the search bar. Chrome is also flagging AI-generated media in tabs.

FAQs:

Is SynthID verification available right now in Google Search?

Yes. SynthID is live in Google search through Lens, AI mode, and Circle to Search.

Do I need a special account or subscription to use it?

No.

Can SynthID detect all AI-generated images?

No. It can only detect images with a SynthID watermark.

What is C2PA, and how is it different from SynthID?

C2PA Content Credentials provides details about the media, such as whether a camera captured it or it was modified.

What companies are using SynthID watermarking?

OpenAI, Kakao, ElevenLabs, and NVIDIA are using SynthID watermarking.

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The European Commission Wants Google to Share Data with Third-Party Search Engines

Why the European Commission Wants Google to Share Data with Third-Party Search Engines.
Google is the leading search engine in the EU with up to 90% market share.

Bing is the only closest competitor with up to 6% share in the European market. The European Commission challenges Google’s dominance in the search engine market. They proposed that Google must share data with AI chatbots and rival search engines.

The European Commission published a report proposing measures that Google should adopt to share the search data with rival search engines.

The report also includes sharing data with qualified AI chatbots.

The EU Commission proposed that Google must share data in four categories: ranking, views, clicks, and queries.

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The commission further reported that it allows third-party search engines to optimize their services and challenge Google’s position.

The final decision is due on July 27, 2026.

The European Commission Proposal:

The European Commission proposed the following measures:

• Eligibility criteria for data beneficiaries
• Search the extent of the data required to share
• Intervals and methods for sharing data
• Anonymization standards
• Guidelines to determine FRAND pricing
• How beneficiaries can access the data

Data shared by Google will be available to the eligible third parties. The European Commission has not provided the list of eligible parties. But it includes rival search engines and AI chatbots.

Rival Search Engines are Eligible:

While the European Commission has not disclosed the rival search engines. It is expected that the proposal is to share data with other search engines like Bing, DuckDuckGo, Brave, and Yandex.

AI Chatbots Are Eligible:

The European Commission reported that AI chatbots are also eligible to access data shared by Google. It will make AI search visibility easier and accessible.

AI chatbots that meet the DMA’s definition of online search engines will get access to Google’s anonymized search data.

AI search engines can use similar methods, pricing, and frequency to optimize AI search.

Google’s Response:

Google is opposing the proposal. Senior Competition Counsel at Google, Clare Kelly, said that millions of Europeans trust Google for sensitive searches. They search Google for finance, family, and health-related questions. Sharing this data with unsecured search engines and AI bots will put the user's privacy at risk.

Google also explained that the European Commission’s proposal appears to be driven by OpenAI. Google claimed that OpenAI is trying to use the DMA to harvest data from Google.

Google is already facing multiple challenges in the European Union.

Significance of European Commission Proposal:

The proposed measures are preliminary. Even if they are adopted, they will impact the searches within EEA.

Anonymization and pricing details remain open. It is yet to be seen if AI chatbots' eligibility will remain a part of the final decision.

If the EU proposal is adopted, then AI chatbots will use Google signals to rank products and search for EU users.

Conclusion:

The public response will close on May 1, 2026. The European Commission will make a final decision by July 27, 2026.

The proceedings will not follow the non-compliance results, but DMA will impose 10% of fine on global turnover.

If the final decision keeps AI chatbots' access to Google data, then it will reshape the AI search in the European market.

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Google Displays More Links in AI Overviews and AI Mode: What Should Publishers Do?

Robby Stein, the vice president of Google Search, published a post on X to announce the next change to Google AI Overviews.

He posted that AI overviews and AI mode will see more links as a group. These links will automatically appear in popup boxes. All you need is to hover them on a desktop. From there, you can access websites.

Google is making this change amid rising concern among publisher communities that AI Overviews and AI mode will eliminate the need for websites.

Robby said that Google will show more descriptive and prominent links as icons within the generated response. The new feature is accessible on both mobile and desktop.

This way, Google will change the way links appear in Desktop and Mobile AI Overviews and AI mode search.

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Google Display More Links in AI Overviews and AI Mode:

The hover link popups feature will try to pacify publishers. These links will be placed in prominent places where engagement is expected. Both AI overviews and AI mode will display links as icons.

Google is testing UI to ensure more engaging content and link placement.

Why Link Placement Matters for Publishers:

Since the origin of AI overviews publishers worry that it will attract all the organic traffic, and links will be reduced significantly. But Google debunked this myth for now.

Major publishers like Pew, SEJ, and eAskme have seen a drop in organic CTR. In some cases, AI overviews have decreased organic traffic from 1% to 19%.

Google has been making changes to deal with this issue. Google does not want to remove publishers from its business operations. In August 2025, Stein said that Google will display more links in AI overviews. And in February 2026, he announced that Google is already working in this direction.

The hover-over pop-up is a great addition to AI Overviews and AI Mode. It will give publishers better chances to attract organic traffic.

Note: Users will only choose to visit the link if they need more information. Also, the links in the first position in the hover-over-popup will attract more traffic.

The engaging description will help users notice the link placements. It is yet to be seen how much traffic potential these link placements have.

What Should Publishers Do?

Publishers should follow the content-based writing and marketing practices. Share detailed solutions through the content pages.

Target AI ranking to increase link visibility in AI overviews and AI mode.

If you do not know how to rank in AI Mode, then read this guide.

Conclusion:

Link visibility in Google Search is the only way publishers attract organic traffic. While AI Overviews and AI mode offer a detailed explanation of user queries, the hover-over link placements increase the chances of attracting traffic from users looking for more information.

My view is that this type of placement will help publishers in AI Overviews as the results are not very descriptive. But in AI Mode, users get detailed solutions, so it is not easy to attract much traffic without adding unique value.

Also, the visitor’s choice to open the link depends on whether they are satisfied with the information available in AI Overviews and AI mode or not.

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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:

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?

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:

• 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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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

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

 

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ChatGPT Search Indexing: How to Index Your Content?

ChatGPT search indexing is the real thing. But how to index your website for ChatGPT search is the question that I am answering today.

ChatGPT launched a real-time search feature to attract Search engine users.

While Google is using AI Overviews to display AI-generated search results, ChatGPT is trying to grab Google’s share of the search engine market.

While ChatGPT and Google are competing, OpenAI is expanding ChatGPT search crawlers and their capabilities.

OpenAI uses Bing indexing features in its crawlers. Bing and OpenAI’s partnership helped ChatGPT make its way to the search engine industry.

ChatGPT Search Indexing

Bing and OpenAI worked together to launch ChatGPT Search.

OpenAI docs reveal details about the OpenAI crawlers. Right now, ChatGPT search uses GPT-4o technology. It is working on the o1-preview system to generate synthetic results.

OpenAI is using 3 types of crawlers:

1. OAI-SearchBot: It is the main crawler responsible for search engine features.
2. ChatGPT-User: It handles user interactions and requests.
3. GPTBot: It is responsible for AI data training.

How do you configure Robots.txt for ChatGPT Search Indexing?

To index your content in ChatGPT search, you must allow OAI-SearchBot in your robots.txt file.

It is also necessary that Bing indexed your website content.

Once you allow OAI-SearchBot, the search crawler will update your file in up to 24 hours.

What does ChatGPT Search have for Publishers?

ChatGPT search offers 4 features to content publishers:

1. Citation: ChatGPT search cites the source of the content.
2. Source sidebar: It displays source links.
3. Multiple Source Attribution: It adds numerous citations to the content.
4. Location: it also displays maps for local searches.

What Should You Consider when Indexing Content in ChatGPT Search?

Here are the factors responsible for ChatGPT search indexing:

• Content usability and freshness.
• It is citing paywall pages.
• 404 pages in the search.
• Multiple source citations.

Conclusion:

ChatGPT search indexing requires robots.txt verification. Optimizing your robots.txt file for crawlers is necessary.

Update your content, use facts, and write in an optimized structure to help OpenAI search to index the content.

Make sure that major search engines are indexing your content. It is another tip that will help you index your content in ChatGPT search.

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Google AIO Is Ranking Topic-Specific Sites

Google's AI Overviews ranks niche-specific websites in its results. In other words, micro niche sites have better chances to rank in Google AIOs than multiniche sites from brands.

BrightEdge has published a study analyzing the changes in Google AI overviews. New results show that topic-specific blogs or websites are getting more space than branded websites.

And all this has changed with Google's Core Update.

Google Core Update and AI Overviews:

SEO experts have already speculated that AIO results will display content from top-ranking sites. The real story is not so different. Google AI Overviews are mirroring organic results.

After the August 2024 Core update, AIOs started displaying niche-specific websites in the results.

BrightEdge's AI Overviews Study:

Here is what the BrightEdge Study shows:

• Since the August 2024 core update, AI Overviews have been displaying 41% of results from top-ranking pages.
• AIOs focus on topic-specific websites.
• AI overviews will focus on organic results rather than extracting content from non-ranking sites.
• AIO is ranking low-ranking websites for topic-specific results.
• Google's August 15th Core Update has changed how sites rank in organic results and AIOs.
• AIO results match the ranking of the top 100 websites for the search query.
• New and topic-specific websites are getting more exposure.
• AIO results are all about the topic.

BrightEdge used its dataset for this study.

BrightEdge Dataset includes Data Cube X, content analytics, and SEO platforms.

Data Cube X focus on:

• Organic Keyword Research
• Competition analysis
• AI-powered keyword and topic research
• Organic traffic

Google AI Overviews Expansion:

Google has expanded AIO to non-registered users. This means that regardless of whether you have a Google account, you will still see AIO results for any query.

This way, Google is ensuring that more users develop the habit of using AIO results over other organic pages.

AIO results are not industry-specific. Google delivers AIO results for every query.

Non-registered or non-login users will not see AIO results in the following scenarios:

• Education
• Healthcare
• B2B Tech

Non-logged-in eCommerce users will see 90% less AIO results as compared to logged-in users.

At the same time, Google displays product grids to non-signed-in users.

Google AIO and Product Comparisons:

The holiday season is coming, and Google AIO is ready for it. It displays product comparisons to help buyers decide.

• 172% growth in apparel-related queries in August 2024.
• 42% increase in the use of unordered lists.

AI overviews provide user-friendly product comparisons. It will undoubtedly impact the buyer's decision.
The user can compare products with visuals and statistics. AIO is using high-quality images, which is an indication for marketers to use HD images in eCommerce product listings.

Another thing that marketers should learn from AIO results is that it feeds on data. The more and accurate data your listing has, the better your influence on buyers' decisions.

When it comes to comparing eCommerce products, context becomes essential. Comparison is the best way to do it. Compare products and let users know which is the best.

Google AI Overviews Getting Better:

Google is ranking topic-specific content in AIO results. In most results, you will find the content from the top 100 pages used to answer searchers' queries.

For example, to learn blogging, you will go to an online course on learning blogging rather than visit HuffingtonPost.

Conclusion:

Google is increasing the top-ranking pages in the AIO results. Product comparisons are helping customers and will become more precise throughout the holiday season.

Google's organic results and AI Overviews are displayed side by side. The focus is on highlighting topic-specific results for the user's query.

BrightEdge has published the timeline of changes in AI Overviews.

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Google Search Result Integrates Internet Archive Links

Google’s new collaboration with the Internet Archive allows it to use and rank Internet archive links in search results. This will help users who want to access older pages or earlier versions of the latest pages.

Google is integrating the Internet Archive in its “About this result” feature. Soon, global Google users will have access to the Internet Archive in search results.

There are 866 billion webpages on the internet. Internet Archive Wayback machine has stored snapshots of those pages.

How to Access About Internet Archive Pages with Google Search Results?

Internet Archive Pages will be displayed as part of the “About this result.”

• Go to “About this result.”
• Click on “More about this page.”
• Now, you will see the archived page.

Why Older Pages in Search Results?

Researchers and analysts are looking for older versions of the latest pages. Adding them to the search results is the easiest way to make these pages available for users. “About this page” is the best place to display Internet Archive links.

Internet Archive and Benefit:

The Internet Archive has been collecting screenshots of webpages for the past 25 years. Mark Graham has explained that thousands of websites left the Internet, and millions of content pages vanished from search results.

This collaboration will bring those pages to life, which can add more value to the user experience.

What You Should Know?

• Websites that opt out of the Internet Archive database will not display in search results.
• Google is bringing historical web content to life with this collaboration.
• These results will help you to find out how information has changed over the years.
• Google Search is already displaying Internet Archive pages in search results.

How will Internet Archive Integration in Google Search impact SEOs and Organic Traffic?

It is best to see how Internet Archive results in Google searches will impact SEO and organic traffic. Will users click older pages to find more information? Will these pages send traffic to the website?

Websites will not get additional traffic as the web archive adds its URL structure in the snapshot and its links.

Conclusion:

Google’s collaboration with the Internet Archive will bring back the older pages in search results. However, these will not replace the new pages but serve as additional sources of information. You can access them under the “About this result” section.

Stay tuned to know what more is coming.

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SearchGPT Can Disrupt Organic Search: Here is How?

OpenAI launched SearchGPT in July 2024. Since then, SearchGPT has set new standards in the search industry. It has the potential to change the organic results for good.

Marketers and researchers are already testing SearchGPT capabilities. They have tested SearchGPT for queries related to business, e-commerce, blogging, B2B sites, etc. The results display that SearchGPT is more about search results than traditional GPT results. It is also a competitor to Perplexity and AI Overviews.

SearchGPT Can Disrupt Organic Search: Here is How?: eAskme

What is SearchGPT?

SearchGPT is a GPT from OpenAI. It was launched to perform search engine-type operations. It is using current GPT data to produce generative AI results in natural language. When SearchGPT produces results, it also includes resources and citations.

OpenAI has called SearchGPT a new way to search. However, the company has not revealed everything that can make people rely on the tool.

There is no information about how SearchGPT accesses information and how it processes that information. It is confirmed that SearchGPT is using RAG. This technology connects web data with AI models. In other words, SearchGPT has access to the data that is not in their database.

BrightEdge Tested SearchGPT:

BrightEdge has tested SearchGPT, Perplexity, and AI Overviews to collect data points using their technologies. The BrightEWdge Generative Parser and Datacube X are the popular technologies that BrightEdge has used.

BrightEdge analyzed SearchGPT to understand:

• How it answers the query.
• What is its ability?
• What methods is it using?

Here is what BrightEdge Discovered:

SearchGPT vs. AI Overviews:

Google AI Overviews are gaining popularity as Google pushed them over search results. It is the reason why everyone is interested in knowing where SearchGPT stands in competition with AI Overviews.
Test results cleared that SearchGPT gives detailed answers with deep knowledge. Google AI Overviews gives short answers based on the latest trends.

According to BrightEdge, SearchGPT delivers reliable answers analyzed from authentic resources. However, it is not the best tool to find answers related to the latest trends.

SearchGPT vs Perplexity:

Similar to AI Overviews, Perplexity also delivers concise solutions. In other words, it is using technology that is like AI Overviews. It can provide biased answers, which is the problem with most generative AI tools.

SearchGPT stands as a better tool than Perplexity as it offers a comprehensive solution. Perplexity is best at giving quick answers.

SearchGPT and Google:

Many believe that SearchGPT can replace Google.

Well, it is not valid.

OpenAI has a clear plan to merge SearchGPT into ChatGPT. It will work as part of ChatGPT.

Now the question arises: is ChatGPT a competitor to Google?

BrightEdge analysis shows that SearchGPT can deliver trustworthy results. Merging it with ChatGPT will make ChatGPT a powerful tool for search and research.

Conclusion:

SearchGPT, in its current state, is better than Google and Perplexity because it delivers diverse results from authentic resources, is capable of delivering competitive solutions, and is better at query interpretation, programmatic, and practical than many other tools.

It is a quality tool for research purposes.

Still have any question, do share via comments.

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Google AI Overviews Launched in 6 Countries

Google search results now display AI Overviews results in 6 countries. It is also improving AI Overviews' language capabilities with in-text links. A new save function was also introduced.

Google AI Overviews was first launched in the USA in May 2024. Now, it is expanding to countries outside the USA.

Google AI Overviews Launched in 6 Countries: eAskme

Google AI Overviews Launched is 6 Countries:

Users from the United Kingdom, Brazil, Mexico, India, Indonesia, and Japan will also get AI Overviews in search results.

While SEOs are complaining about the drop in referral traffic due to AI overviews, Google is determined to roll out this feature to more countries in the coming months.

According to Google, AI Overviews will deliver more website traffic and become a long-term tool to increase search presence.

New Features of Google AI Overviews:

Google has also launched new features in AI Overviews, such as:

• Users will see a new resource link of relevant websites or blogs.
• Testing in-text links.
• New save function to save AI Overviews.
• Ease of language for some queries.

Google claimed that people are more engaged with AI overviews than general search results. They ask more extended questions and engage in human-like conversations.

Impact on Publishers:

Google AI results deliver high-quality traffic. This also means that AI overviews will display top-ranking results as links. However, there is no clear indication of how it will impact a publisher.

In-text links can lead users to websites, but it is unclear how many users will follow those links.

The SEO community is worried about the fact that AI-generated results will give summarized solutions to the users, and they will never click the link to learn more.

Google’s AI Overviews and User’s Reaction:

Google is taking a positive stand about AI overviews. The company is clearly going to roll out AI overviews in more countries and for more queries. Users also interact with AI Overviews, which makes the search engine believe that the results are beneficial.

Conclusion:

Google is trying everything to help users. It is running a business to bring quality searches in front of the searchers. AI Overviews is Google’s effort to improve the search market with quality results that its algorithm believes are better than other sites.

Now, it all depends on the user’s response. If users are satisfied with AI overviews, then they will be the most effective part of Google search.

What do you think?

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Is Core Web Vitals Score a Google Search Ranking Factor or Not

Is Core Web Vitals Score a Google search ranking factor? Do you optimize Core Web Vitals search ranking? Can CWB score influence rankings?

Core Web Vitals Score is used to help webmasters analyze page optimization and influence user engagement and experience.

Core Web Vitals and Google search ranking factor: eAskme

But how much does Google care about Core Web Vital's score? Let's find out today.

Let's understand everything about content and its impact on search results.

Core Web Vitals Score:

Core Web Vitals is the score that you get after analyzing your website using Google tools. Each score displays a different aspect of the user experience.

Core Web Vitals Score measures the user-friendliness of a website or webpage.

Claim: Core Web Vitals Score is a Google Ranking Factor

There are the 3-core metrics of CWV (Core Web Vitals):

• Largest Contentful Paint: LCP measures the load time of the webpage, including text images and other content.
• Interaction to Next Paint: INP measures a web page's overall responsiveness at the level of user interaction. It has replaced the First Input Delay (FID), which measured the browser response during user engagement.
• Cumulative Layout Shift: CLS measures the content shift during page load.

INP replaced FID in March 2024.

Difference Between INP and FID:

FID was part of Core Web Vitals before March 2024. It measured taps, clicks, and other user engagement on the page. The focus of this metric was to measure the first input on the page.

INP replaced FID to analyze user engagement at a much deeper level. It explores the complete lifecycle of user interaction.

To get a better ranking, it is a must to keep INP lower or equal to 200 milliseconds.

Evidence: Core Web Vitals Score is a Ranking Factor

Google Search Central announced CWV as a ranking signal. The related article published on the Google developer page states that Core Web Vitals is the set of metrics to analyze the responsiveness, speed, and stability of the webpage for user experience. It will impact the search ranking change.

During the Ask Me Anything event in 2021, Philip Walton said that web vitals are the ranking factor.

John Muller also clarified that the Core Web Vitals score impacts search ranking as it plays a vital role in analyzing a web page's user-friendliness. He added that even if a website has the best CWV score but its competitor has better relevance to the search query, Google will prefer relevance over CWV score.
Websites optimizing for Core Web Vitals will see a shift in organic ranking.

In 2022, John Muller confirmed that page experience is a ranking factor.

Improving the Core Web Vitals score is a must, but focusing on other metrics is also necessary to rank better. Page experience is and will always be a ranking factor.

Conclusion: Core Web Vitals Score is a Google Search Ranking Factor

Google itself confirmed that the Core Web Vitals score is a ranking factor. There is not much left to say. All you need to do is optimize your website for CWV. It can also impact the helpfulness of your content.

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Is Content a Google Search Ranking Factor or Not?

Is Content a Google search ranking factor? Do you optimize Content for Google search ranking? Can Content influence rankings?

Content is the king, is the oldest saying in the SEO and marketing industry. Without content, there can be no search, no marketing, and nothing else. You cannot do anything without content.

Is Content a Google Search Ranking Factor or Not?: eAskme

But how much Google cares about it? Let's find out today.

Let's understand everything about content and its impact on search results.

Content:

Content is information that you share to display your expertise, knowledge, products, and services to others.

Content is everything that you can find on a website like eAskme.

But does Content impact your Google search position? Let's find out.

Claim: Content is a Google Ranking Factor

Content is the basis of every website or app. Engaging with readers, ranking in Google searches, and boosting organic traffic is necessary.

Almost every person in the business understands the potential of high-quality content and its impact on search results.

Search engines like Google rely on content. Without content, Google cannot display anything.

It is a part of search engines, algorithms, marketing campaigns, etc.

Evidence: Content is a Ranking Factor

Google's "How Search Works" explains how content automatically generates results. When ranking a website or webpage, Google focuses on meaning, relevance, quality, usability, and content.

And everything comes from the content.

Google explains that its system analyzes content relevance to rank it in SERP.

It also means that the Google system understands the queries and the intent behind those queries.

Ten years ago, it was easy to create a website that ranked with a clean design, audience targeting, valuable content, site structure, etc.

Even after a decade, Google has preferred valuable content when ranking your website or page.

Google's "Search Engine Optimization (SEO) Starter Guide" explains image optimization, video optimization, website performance, SEO, and site in search console.

How to Create Valuable Content?

To create a valuable content experience, it is a must to create content that has the following ingredients:

• Create content to satisfy user intent.
• Use easy-to-read language.
• Optimize images, videos, and other types of content.
• Create scalable, unique, and fresh content.
• Use evergreen content.
• Display authority and expertise using data and research.
• Add enough information to satisfy users' needs.
• Optimize links.
• Avoid ad manipulation.

Google is interested in content that is trustworthy, expert, and authoritative.

Google's John Muller also said that Google looks at the whole content instead of just H1 tags.

Evidence: Content is not a Google Search Ranking Factor

There is no single piece of evidence to support this theory. The reason is simple: content is only possible with it.

Content search is only possible with content search.

Conclusion: Content is a Google Search Ranking Factor

Content is the soul of every business. Search engines rely entirely on content and quality.

Content quality is among the top 3 ranking signals in Google search results.

Create evergreen, exceptional, trustworthy content to rank better and improve organic position.

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Is Canonicalization a Google Search Ranking Factor or Not?

Is canonicalization a Google search ranking factor? Do you want to optimize the canonicalization strategy for Google search ranking? Can canonicalization influence rankings?

Search engines want you to use canonical tags or canonicalization. But does it impact organic search ranking?

Rel=Canonical tag you will direct Google to the preferred version of your website URL. Still, there is no guarantee that Google will follow your path.

Is Canonicalization a Google Search Ranking Factor or Not?: eAskme

To answer this question, first understand the canonicalization and then dig deep to find facts.

There are very few people who are asking this question, yet it is worth answering.

But does Canonicalization impact your Google search position? Let's find out.

Let's understand everything about canonicalization (rel="canonical") and its impact on search.

Canonicalization:

Canonicalization is the process of telling a search engine which URL is the best representative of your website. It also helps Google to choose the best page and avoid duplicate pages or versions of the same page.

The easiest way to use canonicalization is to add a rel=canonical tag to declare the representative URL.

Google wants to use to use rel="canonical".

But is canonicalization (rel="canonical")  a Google organic ranking factor? Let's find out.

Claim: Canonicalization is a Google Ranking Factor

Canonicalization or rel="canonical" is an HTML tag that tells Google the best representative of your URL.

In most common cases, Google uses the canonical URL to avoid duplicate versions.

For example, if you set the www version as canonical, then Google will use the URL with www to crawl and index.

This helps Google save resources and time by avoiding duplicate versions of the URL.

In 2023, Google itself recommended the use of canonical tags.

But if you want to avoid duplication in syndicated content, then you should now use canonical links.
Ask syndicated sites or webmasters to use the noindex tag instead of canonical.

The sole purpose of a canonical URL is to share a preferred version of your domain URL with search engines.

As rel=canonical helps Google to find a preferred version of URL, webmasters started believing that it also impacts search engine ranking.

Evidence: Canonicalization is Not a Google Search Ranking Factor

Google has nowhere mentioned that canonicalization or rel=canonical is necessary for ranking.

Google's John Muller said that the best strategy is to use the rel="canonical" tag to avoid duplicate content issues in search results.

Difference between rel=canonical and Noindex:

Rel=canonical tells Google that the source or link is essential and should be indexed. But no index tells the search engines that that page should not be indexed.

In other words, rel=canonical pass link juice, but noindex doesn't do it.

Conclusion: Canonicalization is not a Google Search Ranking Factor

Canonicalization helps Google to identify the preferred version and avoid duplicate versions of the URL. It is necessary to index only preferred URLs. It works as a suggestion.

You should rel=canonical to help Google. However, it is not a Google ranking factor.

Still have any question, do share via comments.

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Is Code-To-Text Ratio a Google Ranking Factor or Not?

Is Code-To-Text Ratio a Google search ranking factor? Do you want to use the Code-To-Text Ratio for Google search ranking? Can the Code-To-Text Ratio influence rankings?

Code is a must for any website. Without code, there cannot be a site or app. While coding can make or break a website, it is also believed that coding can influence search ranking or ranking signals.

The code-to-text ratio impacts responsiveness, speed, indexing, and user experience. To create the best user experience, SEOs work, SEOs work hard to find the best Code-to-text ratio for clients' websites.

Is Code-To-Text Ratio a Google Ranking Factor or Not?: eAskme

It is not easy to determine the code-to-text ratio, yet SEOs try everything.

But does the Code-To-Text Ratio impact your Google search position? Let's find out.

Let's understand everything about the Code-To-Text Ratio and its impact on search.

Code-To-Text Ratio:

Code-to-text ratio is the percentage of text compared to code on the webpage or website. Code-text ratio checkers are available to calculate the exact ratio.

It is a must to have optimized code on your website or page. Anything more than that is unnecessary. Yet, it is good to find out if your code is impacting search ranking.

Claim: Code-to-text ratio is a Google Ranking Factor

The code-to-text ratio can directly influence user experience. Code-heavy sites load slowly, which negatively affects user experience.

Sites with low code or poor coding create design, crawling, and indexing issues. The code helps search engine engines understand why the page is there and its relevance to the website.

Evidence: Code-to-text ratio is a Google Search Ranking Factor

Google’s John Muller once said that HTML code does not affect website search engine rankings.

Although Google does not outrank sites based on their code, too much code is not beneficial for users. Complex or hidden codes can damage your page's SEO and rankings.

It is better to optimize code to create a fast-loading website with a clean user experience. Better user experience and Core Web Vitals score are important for better rankings.

How to Optimize Code-to-text Ratio?

The code-to-text ratio directly impacts Core Web Vitals score and user experience.

• Check code errors using the W3C validator tool.
• Check the HTML code errors and fix them.
• Improve code and get rid of any useless code to improve page load time.
• Compress images, use cache codes, and get rid of flash codes to improve website speed.

Conclusion: Code-to-text ratio is not a Google Search Ranking Factor

Your website code is not a ranking factor. Yet, it is important to optimize website code to optimize load time and responsiveness and fix coding errors. It is best to optimize the Code-To-Text Ratio within 20-75%.

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