When we put six buyer questions about e-commerce analytics tools to ChatGPT, Gemini and Perplexity, two products tied at the very top: Matomo and Mixpanel were each named in 5 of the 6 answers (83%).
Shopify Analytics came next at 4 of 6 (67%), then Glew and Hotjar tied at 3 of 6 (50%). After that the field scattered. Across the six questions the engines named 24 different products in total, and only 3 of those 24 (13%) showed up in four or more of the answers. Everything else was a long tail.
How the shortlist changed across the six questions
The six questions were not six ways of asking one thing. Of the 24 products named, 14 (58%) appeared in exactly one of the six questions and never again. The wording of the question, not a fixed ranking, decided who made each list.
The bare "best e-commerce analytics tools" question returned 7 products and leaned heavyweight: Adobe Analytics, Optimizely and DataHawk all made that list, and 2 of those 3 (Optimizely and DataHawk) turned up nowhere else. Just as telling, Shopify Analytics and Google Analytics were both absent from the bare "best" answer, even though Shopify Analytics was named in 4 of the 6 questions overall.
"Best free" and "most affordable" sound like the same request, but they barely overlapped. Each returned 8 products, and they shared only 3 of them: Matomo, Shopify Analytics and WooCommerce Analytics. The "free" list alone pulled in Microsoft Clarity, Google Looker Studio and Zoho Analytics, while the "affordable" list alone pulled in Peasy, Littledata, Power BI Pro and Triple Whale. Swapping one adjective changed 5 of the 8 names.
The single-question products cluster neatly by intent. DataHawk and Optimizely showed up only under "best," Glassbox and Jimdo only under "small teams," Attribution App and Looker only under "what should I use," Google Looker Studio and Microsoft Clarity only under "free," Peasy, Littledata, Power BI Pro and Google Analytics 4 only under "most affordable," and Facebook Ads Manager and Improvado only under "recommendations." That is 14 of the 24 products (58%) living inside a single query.
Even the two leaders had a gap. Matomo was named in 5 of 6 questions but was missing from "what e-commerce analytics tools should I use," and Mixpanel was also named in 5 of 6 but dropped out of "most affordable." No product at all was named in every one of the 6 answers.
The source map: which pages fed the answers
Behind the six answers sat 20 distinct source domains. One page was cited in every single answer: contentsquare.com appeared in 6 of 6. Next came matomo.org at 5 of 6, then improvado.io and reddit.com tied at 4 of 6.
Community threads carried real weight. Reddit was a source in 4 of the 6 answers (67%) and Quora in 2 of 6 (33%), and every Quora citation fell inside a question Reddit also fed, so community forums together stood behind 4 of the 6 answers. For this category that matters more than any review site.
The big software review directories did not appear at all. Zero of the 20 source domains were G2, Capterra, TrustRadius or GetApp. For e-commerce analytics, the engines built their lists from vendor pages, roundup blogs and forums, not from directory star ratings.
The clearest pattern is the one worth copying. Matomo's own domain, matomo.org, was a source in 5 of the 6 answers, and Matomo the product was named in 5 of the 6 answers. The tool whose own site the engines read most was also the tool they named most. Being your own most-cited source worked.
The reverse showed up too. contentsquare.com fed all 6 answers yet Contentsquare was never named as a product once, and improvado.io fed 4 answers while Improvado the product was named just 1 time. Those pages are roundups that list other tools, so the domain gets cited while the owner's product stays off the list. Publishing a roundup earns citations for your URL, not for your name.
What this means if you sell an e-commerce analytics tool
Market share is not what got products named here. Google Analytics, the most-used web analytics product in the world, was named in only 2 of 6 answers (with "Google Analytics 4" picking up 1 more as a separately recorded name), while Matomo, a far smaller open-source rival, tied for first at 5 of 6. The source list set the ranking, not install base.
So the move is to be in the exact pages these answers came from. Three of them do most of the lifting: publish comparison content on your own domain the way Matomo does (its site fed 5 of 6 answers), get named in Reddit and Quora threads (present across 4 of 6 answers), and get into the roundups the engines lean on, contentsquare.com (6 of 6), improvado.io (4 of 6) and sellerscommerce.com (3 of 6). Whoever is written into those pages is on the list, and whoever is not, is not.
The full list, counted
| Product | Named in | Share |
|---|---|---|
| Matomo | 5 of 6 | 83% |
| Mixpanel | 5 of 6 | 83% |
| Shopify Analytics | 4 of 6 | 67% |
| Glew | 3 of 6 | 50% |
| Hotjar | 3 of 6 | 50% |
| Adobe Analytics | 2 of 6 | 33% |
| Google Analytics | 2 of 6 | 33% |
| Triple Whale | 2 of 6 | 33% |
| WooCommerce Analytics | 2 of 6 | 33% |
| Zoho Analytics | 2 of 6 | 33% |
Where Glotier fits
Glotier does not sell an e-commerce analytics tool, so we were not named in any of these 6 answers, and that is the right result. An AI should not recommend us for a category we are not in, and it did not. We are only the ones holding the measuring tape here.
But the measurement is the whole point. Running six buyer questions across three engines and writing down every product named and every source page behind it is exactly what we do for your category instead of this one. If you want to see who the AIs name when a buyer asks for the best tool like yours, and which pages they read to decide, the check is free, takes about a minute and needs no account.