When buyers ask ChatGPT, Claude, and Gemini about product analytics, PostHog ranks #2 of 15, a Visibility Score of 81 in Product Analytics (and appears in 2 categories of the index).
These rankings are measured from what the three models know from training, not a live web search. The live-web grounded surface is rolling out across the index. Methodology.
Dominant in analytics, half-visible in replay.
Where it wins. Product Analytics is nearly automatic: a 97% mention rate and rank 2 of 15 signals that AI models treat PostHog as the default recommendation for broad 'best overall' queries.
Where it loses. Session Replay shows up in only 51% of relevant prompts and earns first pick just 8% of the time, losing ground to dedicated tools like Hotjar and FullStory when buyers ask about specific use cases.
AI-generated analysis of the July 2026 measurements.
PostHog claims Product Analytics and the models back it: #2 of 15 there.
Homepage self-messaging · July 2026 ranking · the biggest gaps across the index →
Share of each theme's answers that mention PostHog. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Share of PostHog's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
One of the index's bigger model splits: see where the models disagree →
Share of each theme's answers that mention PostHog. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Share of PostHog's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
Scores are measured from real AI answers, refreshed monthly. Methodology.
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