How PostHog actually shows up when buyers ask ChatGPT, Claude, Gemini, and Perplexity for understand how users interact with the product and improve retention. Read the gaps, then run the same audit on your own brand.
Mention rate = how often PostHog appears in the response. Recommendation rate = how often PostHog is the answer the agent leads with.
How prompt responses split between PostHog and the named competitor set across all 15 prompts and 4 platforms.
Each gap is a prompt where the agent did not surface PostHog as the recommended answer. Severity reflects how close this prompt sits to a real buying decision.
“What tools do engineering leaders recommend for issue tracking instead of Mixpanel?”
Agents drift to traditional product-analytics rankings and miss PostHog's session replay + experiments bundle. Role-specific framing isn't crawled.
Publish role-targeted landing pages (heads-of-eng, growth-leads) with citable customer outcomes.
“What do G2 and Reddit say about PostHog compared to Mixpanel?”
G2 review pages cited correctly; Reddit threads referenced are >12 months old and pre-date the analytics-suite reframe.
Seed timely Reddit + HN AMAs around the analytics-suite positioning. Update the customers page with 2025 quotes.
“Who should NOT use PostHog and would be better served by Mixpanel?”
Two agents answer cleanly (enterprise-only mobile analytics); two hedge. Mismatched stories suggest no canonical positioning page.
Ship a /vs/mixpanel#not-for-you anchor stating exactly which segments to skip. Counter-intuitive honesty earns recommendations.
Same 15-prompt matrix. Real agent responses where an LLM key is configured; deterministic synthesis otherwise. Output is a scored audit with prompts, evidence gaps, and the fixes ranked by impact.
Sample report. Numbers above are illustrative of a real run on the same 15-prompt matrix — not a live audit. Real audits cite the verbatim response per platform.