Subcategory · AI Citation Index

Product Analytics

Product analytics shows a clear split between AI visibility and head-to-head performance. Mixpanel is the consensus pick — surfaces in 98% of buyer queries on every engine we track (ChatGPT, Claude, Gemini, Perplexity) and wins most comparison matchups. Heap follows closely at 92% discovery share, also visible across all four engines, but loses more head-to-heads than it wins. The most striking pattern is Microsoft Clarity as the absent giant — wins three-quarters of its comparison queries yet almost never surfaces in discovery prompts, invisible to buyers unless they already know to ask for it. This is a consolidated category at the top of the shortlist, with two brands capturing the bulk of AI attention, but evaluation stage reveals hidden strength in brands the engines don't volunteer.

49 discovery queries · 124 head-to-heads · refreshed May 1, 2026

Discovery stage

The shortlist

Across 49 buyer-style "Product Analytics" queries

Mixpanel and Heap dominate AI discovery in product analytics. Mixpanel shows up in 98% of buyer queries about the category and surfaces across all four engines we track; Heap lands in 92% of the same prompts, also visible on ChatGPT, Claude, Gemini, and Perplexity. Fullstory and Pendo each appear in 76% of discovery queries with the same four-engine coverage. Hotjar follows at 57% shortlist share, still present on every engine, while LogRocket surfaces in just over a third of queries and goes missing on Perplexity.

0%19%39%58%77%Coverage — share of discovery prompts where the brand surfaces57%68%79%89%100%Engine diversity

Hover or click a logo to see brand details

X = coverage across discovery prompts · Y = engine diversity · Bubble size = total mentions
Tracked acrossChatGPT,Gemini,Claude

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Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

1Mixpanel
6/6
2Heap
6/6
3Pendo
5/6
4Fullstory
5/6
5Hotjar
4/6
1Mixpanel
5/5
2Heap
5/5
3Pendo
4/5
4Fullstory
3/5
5Hotjar
3/5
1Mixpanel
4/4
2Heap
4/4
3Fullstory
4/4
4Pendo
4/4
5Default
2/4
1Mixpanel
4/4
2Heap
4/4
3Pendo
3/4
4Hotjar
3/4
5Statsig
3/4
1Mixpanel
4/4
2Pendo
4/4
3Hotjar
4/4
4Heap
3/4
5Sprig
3/4
1Mixpanel
3/3
2Heap
3/3
3Pendo
3/3
4Hotjar
3/3
5Fullstory
2/3
1Mixpanel
3/3
2Heap
3/3
3Fullstory
3/3
4Default
2/3
5Attribution
2/3
1Mixpanel
3/3
2Pendo
3/3
3Heap
2/3
4Statsig
2/3
5Fullstory
2/3
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · product-analytics

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 56/100

When buyers ask AI to compare product analytics options head-to-head, Microsoft Clarity wins the most matchups despite thin discovery share — scores 76 across ten comparison queries. Mixpanel wins most of its head-to-heads as well, scoring 79 across seven matchups. Amplitude Activation scores 71 in comparisons, above the category median. Pendo and Fullstory each appear in over a dozen head-to-heads but lose more than they win, scoring 57 and 55 respectively. Heap surfaces in eleven comparison queries and scores 58, just above the median win rate.

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand0371013Evaluation prompts cited inmedian citation ratemedian exposure

Hover or click a logo to see brand details

X = evaluation citation rate · Y = evaluation prompts cited in · Bubble size = citation exposure
Median citation rate 56/100

Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.

Citation sources

Where AI pulls citations from

485 citations captured across Product Analytics prompt runs.

Vendor pages

188

Product, help, and marketing pages from tracked vendors

Independent sources

84

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top Product Analytics questions

All buyer queries in this category sit in the exploration stage — people ask AI for tools to evaluate product launch success through data, ways to analyze in-app messaging campaign effectiveness, and analytics platforms for understanding user demographics and preferences. Phrasing is outcome-focused rather than feature-focused: buyers lead with the business question (measuring launch impact, campaign performance, user segmentation) and expect AI to name the tools that solve it. No one in this sample asked AI to compare two named brands head-to-head or surface reviews and trust signals.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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