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ChatGPT, Gemini and Perplexity do not recommend the same products. I measured it.

A developer measured product recommendations from ChatGPT, Gemini, and Perplexity across 40 buying questions and found significant disagreement: 437 distinct products were named, with nearly half appearing in only one assistant's answers. The developer attributes most of the divergence to differing search retrieval rather than reasoning, noting that when given identical sources, the assistants agreed 64% of the time. The findings suggest that AI visibility varies by assistant and can be influenced by optimizing source pages.

read2 min views1 publishedAug 9, 2026

Everyone talks about "getting recommended by AI" as if AI is one thing. It is not. I put the same 40 buying questions to ChatGPT, Gemini and Perplexity on the same day, read every answer, and counted which products each one named. The three do not agree, and the size of the disagreement surprised me.

Here is what came back.

Across the 39 questions where all three answered, they named 437 distinct products between them. Of those:

Read that again. Nearly half the products that showed up in an AI buying answer were named by a single assistant and invisible in the other two.

A single assistant shows you between 58% and 65% of the products the full panel named, depending on which one you check. So if you look only at ChatGPT and see your rival there, that is one third of the picture. Your buyer over on Gemini or Perplexity may be getting a completely different shortlist, and you have no idea whether you are on it.

This was the part I wanted to know. When I handed ChatGPT and Gemini the identical set of search results and asked them to answer from those, they agreed 64% of the time, far more than they do in the wild. So most of the disagreement is not the models reasoning differently. It is that each assistant retrieved different pages to begin with.

That is good news, because retrieval is the part you can influence. The assistants disagree because they read different sources, and the sources are pages you can be on. Change what they retrieve and you change what they recommend.

"Am I recommended by AI" is not one question, it is three, and they have different answers. If you measure your AI visibility on one assistant, you are measuring a third of it. Check all three, read the source pages behind each answer, and work on being in the sources that the assistants you are missing actually read.

I build a tool that runs exactly this: three assistants on one shared set of buying questions, with the sources shown, so I run it on my own category and publish the numbers. The measurements above are real, from 40 questions on 19 July 2026. If you want your own three-way picture, the check is free at glotier.com. But the method is right here, and you can reproduce it with a browser and a spreadsheet.

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