Study: ChatGPT & AI Tools Gain Ground In Search Market via @sejournal, @MattGSouthern

A new study by Previsible reveals significant changes in search behavior, with AI language models (LLMs) gaining traction as referral traffic sources.

The analysis of over 30 websites shows Perplexity and ChatGPT emerging as alternatives to traditional search engines.

David Bell, co-founder of Previsible, believes this indicates Google’s growth is at a standstill:

“Google is basically plateaued and has begun to have its search dominance degraded. The reason being is that people are starting to use ChatGPT, Claude, Co-pilot, Bing, all these different experiences to better solve their search intent.”

Here are some key points from the study. While it doesn’t provide a complete picture, it offers the best information available right now.

Key Findings

Referral Traffic

The study found that Perplexity and ChatGPT command approximately 37% of LLM referral traffic, while CoPilot and Gemini follow with 12-14% each.

Notably, the finance sector dominates LLM-driven traffic, accounting for 84% of all referrals analyzed.

In a video walkthrough of the study, Bell explains:

“Finance, in particular, has an outsized increase in traffic from language models. This could be due to Perplexity and other language models having integrations or relationships with different platforms that allow more direct access to users.”

Content Distribution

The study reveals that blog posts receive 77.35% of LLM referral traffic, followed by:

  • Homepage visits (9.04%)
  • News content (8.23%)
  • Guides (2.35%)

“Informational content still matters in the age of AI search,” Bell noted. However, he advises focusing on conversion rate optimization (CRO) and user journey, as product pages do not surface prominently in language models.

According to the study, product pages receive less than 0.5% of LLM referral traffic, suggesting challenges for ecommerce strategies.

Looking Ahead

LLM referral traffic currently represents 0.25% of total traffic for the most impacted sectors, though the study notes significant growth rates.

In the last 90 days of the study, Previsible found:

  • 900% growth in ChatGPT referrals for the events industry
  • 400%+ growth in ChatGPT traffic for e-commerce and finance sectors
  • Consistent growth across all models except CoPilot

Bell explains what this could mean for websites:

“If you extrapolate out, if you average all of these out, let’s say roughly 200% growth in organic or AI traffic every 90 days for the next 12 months, it can be up to 20% of overall traffic to a website.”

🚨 Free Tool Alert 🚨

Previsible has created a free Looker Studio dashboard to help businesses track website traffic from Language Learning Models (LLMs) like ChatGPT, Perplexity, Co-pilot, Gemini, and Claude.

You can select your Google Analytics 4 (GA4) account and a date range to view data.

The dashboard shows:

  • Organic Sessions: Total organic sessions during the selected time.
  • Total LLM Sessions: Number of sessions from LLMs, with percentage breakdowns.
  • LLM Traffic Over Time: A line graph showing LLM traffic trends, with separate lines for each LLM.
  • LLM Traffic by Landing Page: A table of top landing pages from LLM traffic, including sessions, percentages, average time on page, and comparison to site averages.

How This Helps

By analyzing this data, you can:

  • Assess the impact of LLMs on your traffic compared to organic traffic.
  • Identify which LLMs drive the most traffic and adjust your content.
  • Track LLM traffic growth over time and adapt your strategies.
  • Discover popular landing pages among LLM users and improve them for engagement.
  • Compare time spent by LLM users on each page to the site average to identify areas for improvement.

In Summary

Here are three key takeaways from the study:

  • Finance websites are seeing the strongest LLM referral activity, with blog content receiving the majority of visits
  • Product pages rarely surface in LLM results, suggesting the need for adjusted e-commerce strategies
  • Growth rates are significant, potentially reaching 20% of total traffic within a year if current trends continue

When looking at these trends, it’s important to keep a balanced approach to getting traffic and optimizing your strategies.

Don’t pursue AI traffic if it could hurt your sales.

AI language models are becoming new sources of website traffic. However, they currently make up only about 0.25% of overall traffic in the sectors that are most affected.

It will be interesting to see how this number changes by next year.


Featured Image: Koshiro K/Shutterstock

Cut The Malarkey. Speaking Frankly About AI Search & SEO via @sejournal, @martinibuster

Search marketing is undergoing dramatic changes, with many debating whether SEO is on its way out as AI Search rises in popularity. What follows is a candid assessment of what is going on with SEO and search engines today.

An SEO School Shuts Down

An SEO school by a group called Authority Hackers recently announced their closure, emphasizing that it’s not because SEO is dead but due to the collapse of the content site model. They cited three reasons for this situation. The following is not about the SEO school, that’s just a symptom of something important going on today.

1. Google Updates is one of the reasons cited for the decline of the content site model. Here’s the candid part: If the Google updates killed your publishing site, that’s kind of the red flag that there’s something about the SEO that needs examination.

Here’s the frank part: Google’s updates have generally crushed websites that begin with keyword research, are followed by stealing content ideas from competitors and scraping Google’s SERPs for more keyword phrases. That’s not audience research, that’s search engine research. Search engine research results in Made For Search Engine websites. This doesn’t describe all websites that lost rankings but it’s a common method of SEO that in my opinion seriously needs to be reassessed.

2. The other reason cited by the SEO school is the “AI content tsunami.” I’m not sure what that means because it can mean a lot of things. Is that AI content spam? Or is that a reference to AI content sites overwhelming the publisher who cranks out two articles a week?

Do I need to say out loud what content output implies about site authority?

3. The third reason for the decline of the content model is the dramatic changes to Search Engine Results Pages (SERPs). Now this, this is a valid reason, but not for the reasons most SEOs think.

The organic SERPs have, for the past 25 years, been dominated by the top three ranked positions, with about 20-30% of the traffic siphoned off to Google Ads for search topics that convert. That’s the status quo: Three sites are winning and everyone else is losing.

AI Overviews has not changed a thing. AIO doubled down on the status quo. According to BrightEdge research, the top ranked websites in AIO are largely the same as the organic top ranked websites. What that means is that three sites are still winning and everyone else is still losing.

The biggest change to the SERPs that most SEOs are missing is what I already mentioned, that made for search engine websites have been getting wiped out by Google updates.

The helpful content update (HCU) is the scapegoat but that’s just ONE algorithm out of hundreds. There is literally no way for anyone to claim with 100% certainty that the HCU is the reason why any given site lost rankings. Google is a black box algorithm. A lot of people are saying but none of them can explain how they are able to pick out the effects of one algorithm out of hundreds.

The thing about being in SEO for 25 years is that people like me are accustomed to dramatic changes. Yes, the SERPs have changed dramatically. That’s how search engines have always done things.

If you’ve only been doing SEO for ten years, I can understand how the recent changes seem dramatic. But when you’ve been in it for as long as I have, dramatic changes are expected. That’s the status quo. Dramatic SERP changes is how it’s always been.

SEO Is Now AEO?

Someone started a discussion with two sentences that said AEO is the new SEO and that ChatGPT was quickly becoming the leading search engine, inspiring well over a hundred responses. The discussion is in a private Facebook group called AI/ChatGPT Prompts for Entrepreneurs.

AEO is a relatively new acronym meaning Answer Engine Optimization. It describes AI Search Optimization. AISEO is more a more precise acronym but it sounds too close to E-I-E-I-O.

Is AEO really a thing? Consider this: All AI search engines use a search index and traditional search ranking algorithms. For goodness sakes, Perplexity AI uses a version of Google’s PageRank, one of the most traditional ranking algorithms of all time.

People in that discussion generally agreed that AEO is not a thing, that AI Search Engines were not yet a major challenge to Google and that SEO is still a thing.

All is not upside down with the world because at least in that discussion the overwhelming sentiment is that AEO is not a thing. Many observed that ChatGPT uses Bing’s index, so if you’re doing “AEO” for ChatGPT you’re actually just doing SEO for Bing. Others expressed that the average person has no experience with ChatGPT and until it’s integrated into a major browser it’s going to remain a niche search engine.

There was one person insisting that Perplexity AI was designed as an AI Search Engine, completely misunderstanding that Perplexity AI uses a search index and identifies authoritative websites with an updated version of Google’s old PageRank algorithm.

AI has been a strong search engine factor in Google since at least 10 years. Longer if you consider that Google Brain began as a project in 2011.

  • AI in search is not new.
  • Search results summaries aren’t new either (Featured Snippets).
  • Google’s Information Gain patent for AI Chatbots filed in 2018.

AI in search feels new but it’s not new. The biggest difference isn’t in the back end, it’s in the front and it’s changing how users interact with data. This is the big change that all SEOs should be paying close attention to.

Featured Image by Shutterstock/pathdoc

OpenAI Announces 1-800-ChatGPT via @sejournal, @martinibuster

OpenAI ChatGPT just rolled out speech access to ChatGPT by phone and text access through the WhatsApp messaging system. The new services allow users to talk to and message ChatGPT to get answers. The phone access method enables users with an unstable or no data connection to use ChatGPT from a telephone while on the go, even without a ChatGPT account.

Speak With ChatGPT By Phone

Speaking with ChatGPT only requires setting up ChatGPT as a contact, using their 1-800-ChatGPT phone number, which in numbers is 1-800-242-8478. Once added to the phone’s contacts list a user can now phone and speak with ChatGPT to get answers.

Screenshot of video presenters pointing downward to a banner that reads Call Toll Free 1-800-ChatGPT

The presenters phoned ChatGPT with an iPhone, an old flip phone and with a rotary dial telephone to demonstrate how it’s a phone call that is used to reach ChatGPT and access answers. You can do it on the road or at home from a land line.

The functionality is currently only available in the United States and is limited to 15 minutes of free calling per month. However you can also download the ChatGPT App and create an account to speak even longer.

Image of a man speaking with ChatGPT with an old fashioned rotary phone

An example phone call involved asking ChatGPT to explain Reinforcement Learning as if to a five year old.

ChatGPT spoke the following answer:

“Sure! Imagine you have a robot friend and you want to teach it to clean up your room you give it a treat every time it does a good job that’s reinforcement fine-tuning the robot learns to do better by getting rewards.”

ChatGPT On WhatsApp

OpenAI also announced a way to reach ChatGPT with WhatsApp, and it’s available to users around anywhere in the world. The demonstration showed the presenters accessing 1-800-ChatGPT on WhatsApp through the mobile phone’s contacts list. But it can also be accessed by scanning the following QR code.

Screenshot Of ChatGPT On WhatsApp QR Code

The WhatsApp experience is currently limited to texting with ChatGPT and users can access it without having an account. OpenAI is working on ways to authenticate the WhatsApp access with a ChatGPT account and to be able to search with images.

Facts About New Access Methods

The new functionalities use the ChatGPT 40 Mini model. OpenAI engineers literally created these new functionalities over the past few weeks, which is pretty amazing.

Watch the announcement of the new ways to interact with ChatGPT:

1-800-ChatGPT

Google Refreshes Generative AI Prohibited Use Policy via @sejournal, @MattGSouthern

Google has updated its Generative AI Prohibited Use Policy to clarify the proper use of its generative AI products and services.

The update simplifies the language, and lists prohibited behaviors with examples of unacceptable conduct.

Key Updates To Policy

The updated policy clarifies existing rules without adding new restrictions.

It specifically bans using Google’s AI tools to create or share non-consensual intimate images or to conduct security breaches through phishing or malware.

The policy states:

“We expect you to engage with [generative AI models] in a responsible, legal, and safe manner.”

Prohibited activities include dangerous, illegal, sexually explicit, violent, hateful, or deceptive actions, as well as content related to child exploitation, violent extremism, self-harm, harassment, and misinformation.

Prohibited Activities

The policy prohibits using Google’s generative AI for an expansive range of dangerous, illegal, and unethical activities:

  • Illegal Activities: Engaging in or facilitating child exploitation, violent extremism, terrorism, non-consensual intimate imagery, self-harm, or other illegal activities.
  • Security Violations: Compromising security through phishing, malware, spam, infrastructure abuse, or circumventing safety protections.
  • Explicit and Harmful Content: Generating sexually explicit content, hate speech, harassment, violence incitement, or other abusive content.
  • Deception and Misinformation: Impersonation without disclosure, misleading claims of expertise, misrepresenting content provenance, or spreading misinformation related to health, governance, and democratic processes.

Exceptions Allowed

New language in the policy carves out exceptions for some restricted activities in particular contexts.

Educational, documentary, scientific, artistic, and journalistic uses may be permitted, as well as other cases “where harms are outweighed by substantial benefits to the public.”

Why This Matters

The policy update addresses the rapid advancement of generative AI technologies that create realistic text, images, audio, and video.

This progress raises concerns about ethics, misuse, and societal impact.

Looking Ahead

Google’s updated policy is now in effect, and the old and new versions are publicly available.

Leading AI companies like OpenAI and Microsoft have released their own usage rules. However, raising awareness and consistently enforcing these rules still need to be improved.

As generative AI becomes more common, creating clear usage guidelines is essential to ensure responsible practices and reduce harm.


Featured Image: Algi Febri Sugita/Shutterstock

Searchquake: Consumers Now Consider ChatGPT A Real Google Alternative via @sejournal, @gsterling

In just two years, ChatGPT has managed to do something no company has done in the last 20 years: present a viable challenge to Google.

There’s evidence that people are using it instead of traditional search in an increasing number of cases.

For example, ChatGPT’s traffic recently surpassed Bing, and its referral traffic has been growing by triple digits.

Yet, Google’s search volumes and market share appear to be unaffected. Is it a question of scale, and is ChatGPT’s impact still too small to register? If so, perhaps not for much longer

There have been several consumer surveys asking about current perceptions of search quality and others exploring AI adoption. But, there haven’t been any studies that looked closely into whether AI impacts consumer attitudes toward Google and their usage of Search.

So, we decided to create one to answer a range of direct questions we were curious to know the answers to:

  • Is it easier or harder to find what you’re looking for on Google vs. three years ago?
  • What’s your “go-to” AI tool, and how often do you use it?
  • What do you like about AI?
  • Are AI applications and search engines basically interchangeable or different?
  • Has using AI changed how much you use Google?
  • Does AI or search provide a better experience (across multiple categories)?
  • If you had to choose only one tool (Search or AI), what would it be?
  • Will AI replace traditional search engines in the next three years?

My research program, Dialog, asked these and numerous other questions to an online consumer panel last month. We qualified potential respondents using two criteria:

  1. They had to be at least weekly search users.
  2. They must have used at least one AI application “ever” (on a list of 11).

We recruited more than 2,200 respondents and disqualified over half of them, most often because they didn’t answer yes to the AI screening question.

In the end, we had 1,000 U.S. respondents who roughly mirrored U.S. Census data.

Key Survey Findings

Here are some of the survey’s major findings:

  • While Google is dominant, consumers use multiple sites to make purchase decisions.
  • 44% of U.S. adults have used AI applications at least once (100% of respondents had).
  • 77% of survey respondents said it had become easier to find things on Google.
  • 57% use AI daily; roughly half of them use it multiple times a day.
  • 49% see AI and search as essentially interchangeable.
  • 67% think AI will likely replace traditional search engines within three years.

Search Is Fragmenting

It’s important to point out that the often binary discussion of Search vs. AI misses the fact that people have been using numerous other sites for search and discovery for some time.

Some people might be surprised, for example, that a majority of U.S. adults on TikTok are looking for product reviews and recommendations.

Dialog’s survey suggests that people routinely use multiple sites to conduct pre-purchase research, though Google is the most widely used.

The precise percentages are less important than the fact that so many sites were named.

Image from author, December 2024

Search Today Is ‘Much Easier’

The general consensus in the SEO community and tech press is that Google’s search quality has declined for several years.

If you don’t believe this, just Google “Is Google getting worse?” (There’s a longer debate as to why this might be.)

We fully expected consumers to express a similar sentiment. But they didn’t.

In fact, 77% said that they thought it was easier or “much easier” to find what they were looking for on Google today vs. three years ago.

While this doesn’t explicitly address search quality, it reflects a positive user experience.

Image from author, December 2024

We didn’t follow up on this question, so we don’t have a good explanation for the finding.

One potential theory is that much of search activity today is brand-related or navigational, which Google does a good job with.

Another theory is that users have become more capable searchers. But neither is fully persuasive.

Search And AI Are ‘Interchangeable’

As mentioned, we disqualified potential respondents who said they’d never used an AI application.

Among our sample, however, there were very few infrequent AI users; 92% said they used AI at least weekly, and 57% were daily users, with a substantial minority using it multiple times a day.

ChatGPT was the dominant AI tool, although Gemini was not far behind – and these are regular searchers, with 64% using Search/Google multiple times a day.

We also wanted to understand whether consumers saw Search and AI as similar tools or different.

Roughly half of our respondents said that Search and AI were indeed similar and that they used them in similar ways. The other half said that they were different or weren’t sure.

Image from author, December 2024

The broad significance of this finding is that a meaningful number of relatively heavy search users are potentially open to substituting AI (ChatGPT) for Google.

Beyond this, our respondents said they liked many things about AI/ChatGPT:

  1. Ability to ask follow-up questions – 44%
  2. Direct answers vs. website links – 42%
  3. Overall quality of answers – 40%
  4. ‘Conversational’ interaction – 38%
  5. More comprehensive information – 37%
  6. Lack of ads – 35%
  7. Other (please specify) – 1%

While the majority said they found AI content trustworthy, there were still concerns about privacy and information accuracy.

Search Beats ChatGPT – Or Does It?

We asked consumers to decide whether they thought search or AI would provide a better experience and outcome across a range of content categories and use cases.

Across the board, Google/Search won. Some categories were closer than others (i.e., recipes, product research, and financial planning).

Image from author, December 2024

This is a Rorschach-like, “half empty-half full” chart.

If you’re rooting for Search, you can take comfort in Google’s seemingly clear victory. But, the other side of this is that a substantial number of people thought AI would do a better job.

Presenting consumers with a list of 11 Search and Search-adjacent tools, including Google, Amazon, Yahoo, Perplexity, ChatGPT, and others, we then asked, “If you had to choose only one of these for all your research and purchase decision-making needs, which would it be?”

If you only had to choose one, most people chose GoogleImage from author, December 2024

The largest group of 36% chose Google, as you would expect. ChatGPT was second, and Gemini came in third.

When you combine the ChatGPT and Gemini respondents, Google only prevails by a slim two-point margin.

Conclusion: AI Inevitability?

More than two-thirds of these consumers answered “likely” or “very likely” to the question, “Will AI replace search in the next three years?”

Only 12% said it was unlikely, and the rest weren’t sure. Again, this is a group that likes Google and thinks it delivers a better experience than AI in most cases.

Will Google be displaced in three years? Not a chance.

But, the fact that a majority believe it’s possible may impact their expectations and behavior – it also indicates their potential openness to switching. Google has been seen as invulnerable until now.

Feeling competitive pressure, Google is rapidly evolving and leaning on AI to beat back the ChatGPT threat.

In doing so, the Google SERP may increasingly come to mimic the AI user experience.

Google CEO Sundar Pichai recently proclaimed that the search experience would “continue to change profoundly in 2025.”

What we know for sure is that the next phase of search will be quite different, and that the search landscape may, in fact, be fragmenting.

Regardless, Google and AI “answer engines” will co-exist, and the customer journey will undoubtedly become even more complex.

Marketers will need to be flexible and ready. Business as usual is over.

More Resources:


Featured Image: Pickadook/Shutterstock

ChatGPT Update: Free Web Search, New Voice & Maps Features via @sejournal, @MattGSouthern

OpenAI has updated ChatGPT to make web search available to all registered users. The update also includes voice search and maps integration.

With voice search, you can ask questions about current events and local information in a natural way. This feature works in multiple languages and allows for real-time queries.

Additionally, ChatGPT’s mobile apps now include maps, which can help you find businesses and restaurants near you.

Lastly, for those using ChatGPT as their default search provider, OpenAI has improved its handling of navigational queries.

Search Available For Free

OpenAI announced that the web search feature of ChatGPT, which was previously only available to Plus subscribers, is now accessible to all logged-in users worldwide.

This service can be accessed through chatgpt.com as well as the mobile and desktop applications.

For more on ChatGPT Search, see:

Advanced Voice Search Integration

A key improvement with this update is advanced voice search.

This lets you find current web information through natural conversation.

The system can now handle complex questions, including travel planning and local events. It also supports multiple languages and provides real-time information.

In a video about the advanced voice mode, an OpenAI representative demonstrates how you can have natural conversations with ChatGPT to get information about events and activities.

For instance, when asked about festive activities in Zurich, Switzerland, for the week of December 23rd, 2024, ChatGPT provided details on Christmas markets, singing Christmas tree concerts, and Circus Kinelli.

The video also shows that ChatGPT can give specific information, like the days and hours of the Christkindlmarkt at Zurich’s main station.

It easily switches to answer questions about family-friendly events in New York City during the same week, mentioning the New York Botanical Garden’s Holiday Train Show and the Bank of America Winter Village at Bryant Park.

Navigational Searches

OpenAI has improved the user experience when using ChatGPT as the default search engine in web browsers.

In another video, representatives from OpenAI explained that the company has prioritized making it faster to navigate directly to websites from the browser’s address bar.

Now, by simply typing in keywords such as “Netflix” or “hotel booking sites,” users can quickly access the most relevant links without needing to sift through lengthy AI-generated responses.

Maps Addition

OpenAI has added maps to the ChatGPT mobile apps to help you find local restaurants and businesses.

This feature gives you up-to-date information, so you can easily search for and discuss options while you’re on the go.

In Summary

ChatGPT’s search features – previously Premium-only – are now free for all users.

The update adds voice search and maps, plus better direct navigation to websites.

To use these tools on the web or mobile, you only need a ChatGPT account. Voice search works in multiple languages, and the maps feature helps with local searches.


Featured Image: JarTee/Shutterstock

Google Announces Search Updates Powered By Gemini 2.0 via @sejournal, @MattGSouthern

Google has announced a series of updates to Search for 2025, powered by Gemini 2.0, the company’s latest AI model.

Updates To AI Overviews

One of the most notable updates is the enhancement of AI Overviews.

CEO Sundar Pichai notes:

“Our AI Overviews now reach 1 billion people, enabling them to ask entirely new types of questions — quickly becoming one of our most popular Search features ever.”

With Gemini 2.0, AI overviews will soon handle complex topics and multi-step questions, including advanced math, multimodal queries, and coding.

Pichai explained:

“We’re bringing the advanced reasoning capabilities of Gemini 2.0 to AI Overviews to tackle more complex topics and multi-step questions, including advanced math equations, multimodal queries and coding.”

Google is testing these updates and plans to roll out the improved AI Overviews in early 2025, with plans to expand to more countries and languages within the next year.

Gemini 2.0

Gemini 2.0, mainly the Gemini 2.0 Flash model, is key to the recent Search updates.

As described by Google DeepMind’s leadership:

“2.0 Flash even outperforms 1.5 Pro on key benchmarks, at twice the speed.”

This model improves performance and can handle different types of inputs and outputs.

The announcement states:

“In addition to supporting multimodal inputs like images, video and audio, 2.0 Flash now supports multimodal output like natively generated images mixed with text and steerable text-to-speech (TTS) multilingual audio.”

Additionally, Gemini 2.0 Flash can use tools like Google Search and run code to access user-defined functions from other sources.

New Possibilities For Search

Google is developing new features for Search, including Project Mariner, which aims to improve user interaction with agents in web browsers.

The company describes it as:

“… an early research prototype built with Gemini 2.0 that explores the future of human-agent interaction, starting with your browser.”

Looking Ahead

Integrating Gemini 2.0 into Google Search could be a key step in improving users’ experience with AI overviews.

The success of these updates will depend on how well Google implements them while maintaining safety and responsibility.

As the updates roll out, we will see how users respond and whether these changes enhance the search experience.

Study: Google AI Overviews Appear In 47% Of Search Results via @sejournal, @MattGSouthern

A new study shows that Google’s AI Overviews appear in nearly half of all search results and take up to 48% of mobile screen space.

Conducted by Botify and DemandSphere, the research analyzed over 120,000 keywords across 22 websites.

The study, conducted between August and September, finds that traditional SEO metrics like click-through rates may no longer give a complete picture of search performance.

When AI Overviews show up with featured snippets—which happens 60% of the time—these can occupy up to 76% of mobile screens, pushing regular listings out of view.

While strong organic rankings remain crucial, with 75% of AI Overview mentions coming from top-12 ranked pages, businesses need to adapt their strategies to the rise of AI in search.

Here are more highlights from the study.

Zero-Click Search

The study highlights a trend toward zero-click searches, with 60% of searches now resolved without users clicking links.

This shift creates a new challenge for businesses dependent on organic search traffic.

Search Volume & Keyword Length

Key findings about search patterns include:

  • Keywords with under 1,000 monthly searches triggered AI Overviews 55% of the time
  • Long-tail keywords (5+ words) generated AI Overviews in 73.6% of cases
  • Commercial intent queries showed AI Overviews 19.4% of the time
  • Informational queries triggered the feature 58.7% of the time

Crawlability Issues

The research showed that Google misses crawling about 50% of pages on large websites, while Bing misses 20% of pages that get organic traffic from Google.

The report notes:

“You may have the best answer in your site’s pages, but if they aren’t found within the Google search index, they risk not being cited in an AI Overview — no matter how well-optimized they are otherwise.”

Content Quality & Relevance

The study introduced a new way to measure content relevance using cosine similarity analysis.

It found that websites cited in AI Overviews often closely match the AI-generated summaries, indicating that higher quality content is linked to better visibility in AI search results.

What This Means

The study suggests several strategic priorities for businesses:

  • Measure visual SERP metrics like pixel depth to quantify true organic visibility
  • Analyze semantic similarity between page content and AI Overview summaries
  • Prioritize earning, growing, and defending top 12 organic ranking positions
  • Maintain strong SEO fundamentals to support organic performance
  • Develop a broader AI search strategy encompassing new platforms like Bing, ChatGPT Search, and Meta AI

Methodology & Scope

The research, conducted from August 15 to September 1, analyzed:

  • 36,000 commercial keywords
  • 85,638 informational keywords
  • 22 websites across e-commerce, publishing, and branded sectors
  • Both desktop and mobile search results

Looking Ahead

The study reveals changes in how users view search results and how businesses should manage their online visibility. AI Overviews pose challenges for organic search but also present opportunities for adaptable businesses.

Key points for search marketers include maintaining strong organic rankings, tracking visual SERP positioning, and creating content that meets user needs.

As search engines enhance their AI tools, it’s vital to maintain a strong foundation of technical SEO while expanding AI-focused strategies for greater visibility.


Featured Image: Cast Of Thousands/Shutterstock

How Significant Is AI Chatbot Traffic In B2B? via @sejournal, @Kevin_Indig

The first commercial power plant had only 59 customers when Thomas Edison built it in 1882.

Eighteen years later, access to electricity had already expanded to 3.8 million U.S. Americans (5% of households).1 From there, power grid access grew exponentially:

  • 8% in 1907.
  • 35% in 1920.
  • 68% in 1929.

We stand at the doorstep of a comparable technology: AI.

  • ChatGPT is the second fastest-growing consumer product.
  • Capital expenditures of hyperscalers could exceed $300 billion in 2025.2
  • AI already makes consultants, writers, and financial experts more efficient.
  • A joint report by Semrush and Statista found that 1 in 10 U.S. internet users go to gen AI for search first before exploring search engines.

But when is the right time for B2B companies to invest in AI chatbot visibility?

For companies with limited resources, investing in technology too early can be a costly distraction (pets.com). Being too late can cost even more (Kodak).

B2B is a particularly interesting case for three reasons:

  1. Longer sales cycles.
  2. High competition.
  3. AI chatbots answer a lot of information queries directly that used to bring traffic from Google. Ecommerce, for example, is different because searches either start on Amazon directly or shopping is natively integrated (see Perplexity shopping or Google’s new experience).

I analyzed referral traffic from the biggest AI chatbots to six B2B companies with a combined traffic volume of over 1 million monthly visits.

The data shows an average of 0.14% when comparing AI chatbot referrals to organic visits. That’s one referral for every 714 organic visits. Peanuts.

But in the next three years, AI chatbot referral traffic could make up over 35% of organic traffic. As a result, companies would do well to develop playbooks for growing visibility now to benefit from first-mover advantages.

How Much Traffic Do AI Chatbots Send?

Image Credit: Kevin Indig

In my case study of six B2B companies, referral traffic from AI chatbots has grown from an average of 250 visits per month in the first half of 2024 to over 1,300 in November (+5x).

The drivers are growing usage of AI chatbots, more links to sources, and OpenAI’s introduction of its AI search engine, ChatGPT Search.

Image Credit: Kevin Indig

Almost unsurprisingly, ChatGPT sends the most referral traffic, with almost 50%.

Perplexity comes in 2nd at 21.7%.

Gemini sits in a surprisingly distant fifth place.

Even Bing and Copilot send more traffic, even though Gemini was built by search monopoly Google. It’s unclear whether usage or design is responsible for Gemini’s low referral traffic.

Even though AI chatbot referral traffic is growing rapidly, it makes up only 0.34% in comparison to organic traffic.

For some companies, it’s as low as 0.09%, and for others, it’s as high as 0.9%. It’s easy to dismiss referral traffic from AI chatbots because of their miniscule size.

Every smart manager would categorize such a small customer acquisition channel as a distraction. And yet, it’s a mistake.

Referral traffic from AI chatbots grows at a staggering monthly average of 25.6%.

As humans, we’re inherently bad at understanding compound growth because most of our environment is linear (distance, time, etc.).

An annual growth rate of 7% seems harmless until you realize it doubles growth in 10 years.

Only 14% of U.S. Americans have tried ChatGPT.3 They’re early adopters.

Over 170 million more could join the trend in the next years (assuming 334 million Americans minus ~35% for age), which should skyrocket referral traffic even more. And that’s just the U.S.

On the flipside, organic traffic is flat to down for many B2B companies. In my sample set, organic traffic grew only 1.1x between January and November on average.

Image Credit: Kevin Indig

When considering constant growth rates, over one-third of organic traffic could come from AI Chatbots in three years.

In the sum total, AI chatbot referrals would make up over 34% of traffic. Two companies in my set of six are projected to get more than double as much traffic from AI chatbots than from search engines.

Referral to organic traffic ratio projections:

  • Today: 0.14% (January – November).
  • In a year: 0.79%.
  • In two years: 5.7%.
  • In three years: 52%.

Note that we don’t yet know whether AI chatbots cannibalize search engine usage one-to-one or whether we’ll do both.

I have a hunch it’s going to be the latter because AI adoption will happen in phases, and overall usage could increase because LLMs are so capable.

That’s also why my projection chart has a higher total as AI chatbot adoption grows in year 3, which means more potential traffic for B2B companies instead of less.

Of course, this is a small case study of only six B2B companies, and growth rates likely won’t stay constant.

Most projections are wrong, but this exercise helps to put in perspective how quickly the status quo can change.

Implications

My advice is clear: Don’t bank on steam engines. Bank on the power grid.

AI chatbots show early signs of compound growth that could become significantly faster than we can intuitively grok.

Here is what I tell my (B2B) clients:

  • Monitor LLM crawlers, referral traffic, and conversions by landing page to figure out which content gets crawled and performs well in AI chatbots.
  • Track your keywords as questions with a house-made, API-based tracking system or proprietary LLM tracking tools. Monitor visibility ChatGPT, Perplexity, Copilot/Bing, and Gemini because we don’t yet know whether “AI chatbot optimization” will lead to the same results for all chatbots, similar to how SEO is very similar for Google and Bing or whether they will reward different approaches.
  • Test net-new content and content adjustments to provide better answers in AI chatbots. Now is the time to write the playbook.
  • Keep doing classic SEO since AI chatbots still lean heavily on their results to ground answers.

1 The Residential Adoption of Electricity in Early Twentieth-Century America

2 Microsoft Corporation (MSFT) Set to Lead AI Spending Surge with $90 Billion CapEx in 2025, Says Morgan Stanley

3 A majority of Americans have heard of ChatGPT, but few have tried it themselves


Featured Image: Paulo Bobita/Search Engine Journal

What 7 SEO Experts Think About AI Overviews And Where Search Is Going via @sejournal, @theshelleywalsh

Generative AI and the introduction of AI Overviews to SERPs have dominated this year as search has changed more in the last year than in the last 10 or 20 years.

But it might be that many of these changes are coming in spite of Gen AI and not because of.

SEO has been maturing and aligning with classic marketing for many years. AI has been the catalyst that has now created an urgency to rethink SEO strategies and start to approach SEO in a digital marketing holistic way.

SEO is no longer about just being visible in SERPs. Consideration is also needed for visibility in Gen AI apps, social media, and any channel where your audience might be.

Search traffic will likely become more fractured across different channels, and an SEO’s job will become much more complex. The days of easy traffic are well in the rearview mirror.

For the last six months, I interviewed a series of the smartest minds in SEO about their thoughts on AIO.

I asked them all the same question: “What do you think about AI Overviews? How will they impact the industry, and where is this going?”

7 SEO Experts Share Their Thoughts About AI Overviews

The most interesting part about asking the same question to different people is that you get a wide variety of answers – all approaching from different angles.

All of the excerpts below are just an extract and summary taken from a series of short videos.

It’s worth watching each of the videos in full to get the nuance and detail of what each of the experts has to say.

Pedro Dias: AI Is Raising The Bar For Knowledge

I started by speaking to Pedro Dias earlier in the year.

Ex-Googler Pedro has always been focused on user experience, and he believes Gen AI is widening the gap between generalists and true specialists. And that real expertise will be more valuable than ever. It’s the middle ground that will be displaced.

Pedro also believes in building communities and considering the customer journey – where you can give away content for free and where you gate your most valuable resources for your audience.

“The real value lies in crafting more comprehensive materials. Ideally, these should be gated or shielded from Google, allowing us to funnel readers genuinely interested in deeper insights into our platforms. This approach protects our assets and enables us to nurture a loyal audience who seeks value beyond surface-level information.

Professionals need to determine what they can safely offer to AI for broad discovery and what content should remain exclusive to their clients. Every business must identify this balance. While competition will compel some to disclose more detailed content, creators must decide where to draw the line between free and premium offerings.

AI is raising the bar for knowledge. It’s widening the gap between generalists and true specialists, making deep expertise more valuable than ever. Middle-ground professionals, who rely on surface-level knowledge, are at risk of being displaced.

The industry will thrive on the backs of those investing in research, innovation, and specialized knowledge. Others may settle for AI-generated information, but there will always be an audience that seeks deeper insights and expertise.”

Erika Varangouli: SEO Cannot Be Independent Of Brand

Erika believes that we have been spoiled previously, as SEO was not as complex as it is today.

Search used to focus on keywords and clicks, which is a much more one-dimensional approach than what we face today.

She also believes that creativity and branding are essential moving forward.

“20 years ago, you’d just write stuff about car insurance – ‘best car insurance’ – and make sure you had it everywhere.

So, in reality, it wasn’t about understanding or satisfying an audience. But as online behaviors, features, and capabilities have developed, we couldn’t just continue doing SEO that way.

I think moving forward, one of the predominant skills is going to be creativity. SEO has always been about strategy and strategic thinking, but now, more than ever, it’s going to require creativity. And that will probably be the edge we have over AI.

It’s becoming clearer that SEO cannot work outside of understanding the basic principles of marketing, psychology, and branding.

I think something that’s been obvious for a long time is that SEO cannot be independent of brand. But it was functional even if you ignored it for a long time.

I think we’ve passed the point now where we cannot ignore it. SEO reports that rely on rankings, clicks, or traffic won’t look great, but how SEO can really bring results is through collaboration with other marketing disciplines and the business as a whole.

Think about the audience, owning the conversations – not owning the clicks – and you should be fine.”

Jono Alderson: Understanding The Problems Your Audience Has Will Be Crucial

Jono believes that AI Overviews are a symptom of a bigger change and that it was never Google’s objective to be a list of 10 blue links.

What they have always aspired to is to understand what you want and solve your problem.

“This 20-year period we’ve had of typing into an input box and getting a list of links was a temporary dysfunction on that journey.

Now, we’re seeing the first chapter of where they really wanted to get to, and that has some big changes. The obvious ones are things like zero-click searches becoming more prolific, where people type or speak something, and Google solves the problem in situ.

This has huge impacts on the web’s economic model – not just for sites relying on conversions but also those relying on clicks for advertising.

Google’s own advertising ecosystem, which relies on visits to ad-running websites, is affected, too. Everyone, including Google, is still figuring out what this all means.

The model of creating content just to bridge traffic to websites is falling apart because Google and users no longer need that content.

In many cases, Google’s AI-generated results will be better because they’re unbiased, multi-sourced, up-to-date, and not selling a specific product.

Producing content for keywords just to rank may not be the future of SEO. While being topical, newsworthy, or adding truly new value still works, if your strategy is based on just writing articles, there’s an existential crisis at hand.

Understanding the problems your audience has will be crucial. Instead of focusing on keywords or the products people want, we need to focus on the frustrations they have before they start searching.

I think conventional user research – surveys, asking questions – will be more important than building spreadsheets of keywords. Moving away from keywords and understanding human needs will be key.

Search behavior is already shifting. We need to stop thinking about just typing queries into Google.

People are searching on TikTok and Instagram, and even using voice commands with their smart homes. Brand discovery and awareness will play a bigger role, and we’ll need to adapt by creating content that’s useful, relevant, and trustworthy.”

Mark Williams-Cook: Branded Search Is The Gold Standard

Mark’s opinion is that we’re in an odd place and sitting on the fence between two technologies. He thinks that there is a disconnect between user expectations and search engine capabilities.

“The key point here is that with AI models like LLMs and overviews, we’ve introduced a new way and expectation for users.

Now, they can ask tools like ChatGPT a question as if they’re talking to another person and receive a direct answer.

The danger is that most people don’t understand how AI works or realize it can make mistakes.

Google has built trust over 20 years, so people assume its answers are accurate, even though AI Overviews have produced some very incorrect results.

The issue is users aren’t aware of AI’s limitations, so when an Overview gives faulty information, people’s defenses are down. They trust Google and assume AI is inherently ‘clever’ without realizing it can produce biased or inaccurate responses.

There are knowledge spaces, or ‘solved knowledge spaces,’ as Jono Alderson calls them, where information doesn’t change much, like a lasagna recipe. I think AI Overviews are useful in these areas, which might reduce traffic to sites focused on this kind of content. However, it’s honestly a relief to see less repetitive content online.

For industries impacted by AI overviews, it might be time to shift focus rather than trying to fit old practices into the new landscape.

The blended SERPs will focus more on overall presence, not just page optimization. It’s about where and how frequently your brand is mentioned across the web, more like digital PR. This favors brands with a broad digital footprint.

Ultimately, branded search – people searching specifically for your brand – is the gold standard, and I think that’s where AI overviews could push us.”

Dan Taylor: ChatGPT Search Will Lay The Groundwork For Significant Changes

I spoke to Dan a few days after ChatGPT Search launched. Dan conducted some initial research and testing on how the AI search engine handled queries.

He believes that in its current state, ChatGPT Search would not appeal to the mass market as it felt lacking. He thinks it is still raw and rugged and perhaps not quite ready for a broad audience of non-tech users.

But, he does think this could be a big moment similar to the introduction of Ask Jeeves (for those who remember). It pioneered a different approach to search modeling, and ChatGPT Search will be influential.

“ChatGPT Search is very query-dependent. For local search, for instance, it wasn’t a great experience. I noticed that, with niche or specific queries, it had a better logical structure.

For example, in a recent search for sports scores, Google prioritized the dominant, common interpretation over timeliness.

ChatGPT Search, however, better understood the fresh intent of the query. It wasn’t visually polished, but the information was accurate and elaborate.

In terms of SEO, if ChatGPT Search gains traction, SEOs will need to adapt to optimize for this new format. The summaries in AI Overviews are already doing a lot of the work for users, but there’s an open question about accuracy and trustworthiness that’s fundamental to how this will develop.

I think it has the potential to be a pioneering force in AI-powered search. This could be the ‘Ask Jeeves’ moment for AI search, helping to establish the landscape for a new wave of competition.

We’re in a different ecosystem now, and OpenAI is heavily funded. Whether it remains at the forefront, or another big player steps in, ChatGPT Search will at least lay the groundwork for significant changes in search.”

Alli Berry: Combining AI With A Strong Sense Of Brand Will Lead The Future

Alli predominantly works in the finance space, so her experience has not been impacted as much as other verticals. Currently, Google limits AI Overviews in Your Money or Your Life (YMYL) SERPs.

Like many others, she believes that a shift to branding is needed and that smaller companies will need to engage audiences directly, and reduce their reliance on Google.

“I don’t have a strong yes or no opinion on these Overviews; I see them as the next generation of disruption at the top of the SERPs.

Now, it’s on us as practitioners to figure out how to make the most of them. I’ve had great success with featured snippets in the past, so I hope we can replicate that with AI Overviews.

I think the space will have to change. Right now, the financial industry feels very transactional, and there’s not much emphasis on building long-term relationships or communities.

Few finance sites do this well, and it’s a huge opportunity. Smaller companies will need to collect user information, engage audiences directly, and reduce their reliance on Google.

If brands don’t adapt, they’ll fade out. Quick-hit search answers won’t sustain them in the long run. Whether in finance or another industry, brands need to focus on recognition and audience growth.

That requires thoughtfulness and an effort to create something people want to connect with. This change, while challenging, will improve the brands that survive.

We’ve come full circle to classic marketing. Building brand recognition is vital.

Digital marketing went through a phase of undervaluing traditional advertising because it was hard to measure ROI. But now, it’s about creating brand associations, being visible, and providing value to audiences through direct content like newsletters.

Brands that combine AI with a strong sense of brand will lead the future. That combination is critical moving forward. “

Arnout Hellemans: It’s More About Experience Optimization

Arnout thinks we are on the verge of a big shift. Google must reinvent itself, but its focus right now seems to be on competing with Amazon.

There could be a future where Google integrates its accounts so you can make purchases directly within the search interface.

He can see that the younger generations are using TikTok and Snapchat instead of Google. He also thinks that to create demand in search volume, you need to create hype on those platforms.

Arnout is also driven by creating better user experiences and focusing on conversions and not clicks. He believes that we should optimize websites not just for traffic but to help people convert.

“Google had the technology to launch something like ChatGPT before OpenAI, but they didn’t because they knew it would hurt their bottom line. They were forced into it when people flocked to ChatGPT. Now, with so many alternatives, Google has to adapt.

With the launch of ChatGPT Search, how much market share will it take from Google? I think it’ll be significant. Brave, Perplexity, and other engines will nibble at Google’s dominance.

Most of these searches are informational, so initially, it might not cut into ad revenue. But, as users shift from informational searches to comparisons and eventually purchases, the impact will grow.

Google could already provide a similar experience but hesitates because of shareholder value. It’ll be interesting to see the initial market share data.

If they lose a small percentage, it might be manageable, but if they lose 10% or more, they’ll have to act quickly. Ad revenue may still rise in the short term due to higher CPC prices, but [in the] long term, the competition is fierce.

Younger generations are gathering knowledge from TikTok. It’s fascinating. Most of their knowledge comes from there. The biggest spikes in Google Trends now are TikTok trends.

To generate search volume, you need to hype solutions on platforms like YouTube, Instagram, and TikTok. That’s how you create demand.

It’s fascinating to think about the younger generation’s habits. They even use Snapchat over Google Maps now. It’s hard for us to imagine, but that’s their reality.

I think we’re moving towards an age where it’s not about sheer traffic but about delivering a truly optimized experience. The old age of SEO is gone.

It’s more about experience optimization – truly delivering the best experience ever. “

What We Can Takeaway About AI Overviews

Although we have eight different responses to the same question, the common themes and what we can take away from these conversations are to:

  • Leverage your expertise and deep knowledge with your audience.
  • Focus on brand building and building your audience.
  • Build communities around your brand.
  • Create content that solves problems.
  • Embrace TikTok in the user journey to find information.
  • AIO mostly takes away informational queries that don’t hold any conversion value.
  • Focus on conversion and not clicks.

Thank you to all the experts who appeared as guests on IMHO and offered their time and opinions.

More Resources:


Featured Image: Deemerwha Studio/Shutterstock