Four tools never dropped out: Amplitude, Mixpanel, Pendo and PostHog were each named in all 6 of 6 answers when we asked ChatGPT, Gemini and Perplexity for the best product analytics tools on 3 August 2026. There was no single winner, just a four-way tie at 100%, so the real contest is for the spots below them.
We put six buyer questions to the three-engine panel, one live web search each, and recorded every product named and every source domain behind the answers. Across all six questions, 12 distinct products got named and 14 distinct domains fed the answers. That is the whole visible market as far as these assistants are concerned: if you sell product analytics and you are not one of those 12 names, an AI buyer never hears about you.
The four names that never dropped out
Amplitude, Mixpanel, Pendo and PostHog each scored 6 of 6 (100%). They showed up whether the question was about the best tool, the best for small teams, the cheapest, or the best free option. For a buyer using an assistant, that consistency is the whole game: these four are the default answer no matter how the question is phrased.
One tier down, three tools landed in 5 of 6 answers (83%): Glassbox, LogRocket and Userpilot. Each missed exactly one question, and it was the same one for all three, the "best free" query. FullStory came next at 4 of 6 (67%), counting the two spellings the models returned, "FullStory" and "Fullstory", as the one product they plainly are.
The remaining four names each appeared in just 1 of 6 answers (17%): Hotjar, Microsoft Clarity, Google Analytics and Heap. A single mention is fragile. Change one word in the question and these names vanish, which is exactly what the fan-out below shows.
How the shortlist changed from question to question
This is the part most vendors miss. The six questions look like paraphrases of one another, but they did not return one list. Five of them clustered tightly and one broke away.
The bare "best product analytics tools", "what should I use", "recommendations", "for small teams" and "most affordable" questions all revolved around the same core seven: Amplitude, Mixpanel, Pendo, PostHog, Glassbox, LogRocket and Userpilot. If you optimise for "best", you are optimising for five of the six questions at once.
The "best free product analytics tools" question was the outlier, and it rewrote the shortlist. It dropped LogRocket, Userpilot and Glassbox entirely, and it pulled in three names that appear nowhere else in the whole study: Microsoft Clarity, Google Analytics and Heap, each named in that 1 question only. A vendor watching only the "best" query would never know these three exist in the AI's answer set.
"Most affordable" and "best free" sound like the same question to a person, but the assistants treated them very differently. The two shortlists overlapped on only 4 products (Amplitude, Mixpanel, Pendo and PostHog). "Affordable" returned the paid core seven; "free" returned a different world of zero-cost and freemium tools. Pricing intent, not just category, decides the list.
One more single-question name: Hotjar showed up only in "best for small teams" (1 of 6). So four different products, Hotjar, Microsoft Clarity, Google Analytics and Heap, each owe their entire presence to one specific phrasing. That is the fan-out risk in one sentence: your visibility can live or die on which of six near-identical questions a buyer happens to type.
Where the answers came from
Fourteen domains fed the six answers, and four of them were cited in all 6: learn.g2.com, reddit.com, userpilot.com and visionlabs.com. Those four sources shaped every single answer, so a page on any one of them carries more weight than a mention almost anywhere else.
Community threads were used heavily: reddit.com fed 6 of 6 answers and quora.com fed 3 of 6. A large share of the source base is real people arguing in forums, not vendor marketing. Roundup and content sites filled most of the rest, led by visionlabs.com at 6 of 6, then cpoclub.com (2 of 6), gainsight.com (2 of 6), productschool.com and a long tail at 1 apiece.
On the directories: G2 showed up as learn.g2.com, cited in all 6 answers, and Gartner (gartner.com) fed 2 of 6. Capterra did not appear once. So the classic review directories are not absent, but they are outweighed: a G2 blog explainer and a Reddit thread each carried the same 6 of 6 as the biggest vendor sites, while Capterra contributed nothing here.
Here is the key insight. Four of the cited domains are the named products' own websites, and in every case the product got named: userpilot.com fed 6 answers and Userpilot was named in 5; pendo.io fed 3 and Pendo was named in 6; posthog.com fed 2 and PostHog was named in 6; fullstory.com fed 4 and FullStory was named in 4. The vendors that wrote the comparison pages the models read are, unsurprisingly, in the models' answers.
What we would do if we sold a product analytics tool
We would stop thinking about market share and start thinking about that source list. The assistants did not rank by revenue or headcount, they summarised 14 pages. Being named is downstream of being present, and specifically quotable, on those 14 pages, above all the four that hit 6 of 6.
In practice that means earning mentions in the Reddit and Quora threads people actually cite (6 of 6 and 3 of 6), getting into the G2, VisionLabs and Userpilot roundups, and publishing our own comparison content the way Userpilot, Pendo, PostHog and FullStory did. Note the limit, though: gainsight.com fed 2 answers yet Gainsight was never named, so being a source is not the same as being recommended inside it. You have to be on the list, not just publish the list.
The full list, counted
| Product | Named in | Share |
|---|---|---|
| Amplitude | 6 of 6 | 100% |
| Mixpanel | 6 of 6 | 100% |
| Pendo | 6 of 6 | 100% |
| PostHog | 6 of 6 | 100% |
| Glassbox | 5 of 6 | 83% |
| LogRocket | 5 of 6 | 83% |
| Userpilot | 5 of 6 | 83% |
| FullStory | 4 of 6 | 67% |
| Hotjar | 1 of 6 | 17% |
| Microsoft Clarity | 1 of 6 | 17% |
| Google Analytics | 1 of 6 | 17% |
| Heap | 1 of 6 | 17% |
Why Glotier isn't on this list
We don't sell product analytics, so we are correctly absent from all 6 answers. An honest measurement tool should never insert itself where it does not belong, and we are not going to pretend an assistant recommended us here when it did not.
But the six-question run above is exactly what we do for a customer's own category. We ask the real buyer questions, record who the three engines name and which sources they pull, and hand you the same source map you just read, pointed at your competitors. The check is free, takes about a minute, and needs no account. If you sell in a category like this one, that is the fastest way to see whether AI buyers ever hear your name.