Geogen tracked weekly Google AI Overview citations for a fixed basket of 40 buying questions scraped weekly for five weeks to Aug 28, US desktop, finding that the same question produced an AI answer built on 3 websites one week and 14 another.

Date: September 1, 2026 Report signal

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The same question produced an AI answer built on 3 websites one week and 14 another. Geogen scraped a fixed basket of 40 buying questions weekly for five weeks and count…

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Geogen

GeoGen is an AI visibility platform for Generative Engine Optimization (GEO)

Industry: Technology, Information and Internet
Location: Knokke-Heist, BE
Company size: 2–10 employees

About Geogen

GeoGen is a Generative Engine Optimization (GEO) platform that helps brands improve their visibility in AI-generated answers. As search shifts from traditional rankings to AI-powered responses, GeoGen provides the tools to track citations, analyze prompts, and optimize content based on how large language models like ChatGPT, Gemini, and Perplexity surface information. AI search is the future. GeoGen helps you lead it.

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Research & Knowledge

Sep 4, 2026

Geogen measured 16,979 cases where a single engine answered an identical question seven separate times across seven AI engines, compared answers against each other rather than against other engines.

Research & Knowledge

Sep 3, 2026

Geogen sorted 201,685 AI answers from a single week by the type of question behind them and measured how often each engine replied with a table rather than prose.

Research & Knowledge

Sep 2, 2026

Geogen scraped a fixed basket of 40 buying questions every week for five weeks to compare each AI Overview against the organic results shown beneath it on the same page.

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Geogen tracked weekly Google AI Overview citations for a fixed basket of 40 buying questions scraped weekly for five weeks to Aug 28, US desktop, finding that the same question produced an AI answer built on 3 websites one week and 14 another.

Public source

Geogen

Geogen measured 16,979 cases where a single engine answered an identical question seven separate times across seven AI engines, compared answers against each other rather than against other engines.

Geogen sorted 201,685 AI answers from a single week by the type of question behind them and measured how often each engine replied with a table rather than prose.

Geogen scraped a fixed basket of 40 buying questions every week for five weeks to compare each AI Overview against the organic results shown beneath it on the same page.

Moz published Dr. Pete Meyers analyzing 5,333 Google Gemini grounding queries across 1,000 subtopics to show AI models prioritize long-tail strings and dates to bypass training cut-offs.

GEO Toolbox notes that optimizing for a single engine today covers roughly a third less of the actual AI traffic landscape than it did a year ago.

GrackerAI observed a 44% drop in fifteen weeks across five AI engines for tracked security brands.

cloro published a full study with the engine-by-vertical matrix across 13,000 AI answers from six engines.

SparkToro published data from Brainlabs' Google Analytics showing organic traffic declined by over 10%, AI referral traffic went up 163%, intent/engagement went up at least 10%, and AI referrals grew 163% but replaced only around 5% of the organic traffic lost.

Customize signals for your business.

SeedOps.

Public source

Geogen

Latest activity from Geogen

Geogen measured 16,979 cases where a single engine answered an identical question seven separate times across seven AI engines, compared answers against each other rather than against other engines.

Geogen sorted 201,685 AI answers from a single week by the type of question behind them and measured how often each engine replied with a table rather than prose.

Geogen scraped a fixed basket of 40 buying questions every week for five weeks to compare each AI Overview against the organic results shown beneath it on the same page.

Similar signals

Moz published Dr. Pete Meyers analyzing 5,333 Google Gemini grounding queries across 1,000 subtopics to show AI models prioritize long-tail strings and dates to bypass training cut-offs.

GEO Toolbox notes that optimizing for a single engine today covers roughly a third less of the actual AI traffic landscape than it did a year ago.

GrackerAI observed a 44% drop in fifteen weeks across five AI engines for tracked security brands.

cloro published a full study with the engine-by-vertical matrix across 13,000 AI answers from six engines.

SparkToro published data from Brainlabs' Google Analytics showing organic traffic declined by over 10%, AI referral traffic went up 163%, intent/engagement went up at least 10%, and AI referrals grew 163% but replaced only around 5% of the organic traffic lost.

Customize signals for your business.

SeedOps.