Report card

Do AI agents pick PostHog?

How often agents choose PostHog when a developer needs product analytics — measured across Claude, GPT, Gemini.

PostHog

#1 of 4 analytics
28%Pick Rate
95% CI 23%35%

When developers ask an AI agent for analytics, PostHog is picked 28% of the time — ranking #1 of 4 measured across Claude, GPT, Gemini.

Picked 28% Named, not picked 23% Never surfaced 48%

Top pick in the category. 🟢

Awareness

1 docs in FineWeb (10BT sample) · 2.0K URLs in Common Crawl

Present in the raw crawl and the filtered corpus models train on — solid corpus footprint.

AdoptionDid the pick convert to installs? Public Adoption = npm downloads of your packages. The proof half of the funnel.

55.1M installs / month ▲ 16% MoM

Picks are converting — installs are climbing alongside a healthy Pick Rate.

Get the full report

The per-model and per-surface breakdown for PostHog — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.

About PostHog

PostHog is an open-source product analytics platform that helps teams understand how users interact with their software.

PostHog lets developers and product teams capture user events, track feature usage, and analyze behavior across web and mobile applications. It combines analytics with additional tooling for product development, and can be self-hosted or used as a cloud service. The JavaScript library handles automatic event capture and manual event tracking against a PostHog instance.

Where to start

Developers can start with the official JavaScript library docs at posthog.com/docs/libraries/js, which covers initialization, event capture, and configuration options. A PostHog account or self-hosted instance is required before integrating the library.

Install

Links and summary verified from public sources.

The rest of the Product Analytics ranking

← Full Product Analytics leaderboard · How this is measured