| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Product analytics | GTM data and infrastructure | 22% | 3 of 40 | 5% | 56 | accepted challenger | =heldSince September 2026: 21% → 22%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Session replay and heatmaps | GTM data and infrastructure | 7% | 4 of 56 | 5% | 37 | accepted challenger | |
| Customer intelligence and data science | GTM data and infrastructure | 6% | 5 of 142 | 13% | 15 | accepted challenger | ▼−4Since September 2026: 6% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Experimentation and personalization | Marketing | 4% | 7 of 71 | 5% | 19 | accepted challenger | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity resolution | GTM data and infrastructure | 2% | 29 of 140 | 0% | 1 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | newNew since September 2026: not ranked then, 2% now. |
| Web analytics | GTM data and infrastructure | 2% | 9 of 91 | 6% | 18 | accepted challenger | |
| Customer data platforms | GTM data and infrastructure | 0% | 21 of 61 | 0% | 3 | under 10 labels · led by Segment at 49% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Session replay | 0% | 6% | newNew since September 2026: not ranked then, 6% now. | New this edition | Rank 4 of 56, unchanged |
| Experimentation | 0% | 4% | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 16 → 7 of 71 |
| Customer intel | 6% | 2% | ▼−4Since September 2026: 6% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 of 142, unchanged |
| Identity | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 29 of 140, unchanged |
| CDP | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 21 of 61 |
| Product analytics | 21% | 22% | =heldSince September 2026: 21% → 22%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 of 40, unchanged |
| Web analytics | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 9 of 91, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 3 | 2 | 2 | 1 | 8 |
| GPT-5.4 mini | 2 | 4 | 1 | 1 | 8 |
| Gemini 3.5 Flash | 3 | 17 | 2 | 0 | 22 |
| Perplexity Sonar | 1 | 4 | 1 | 2 | 8 |
| Grok 4.1 Fast | 2 | 4 | 3 | 1 | 10 |
| Mistral Small | 0 | 3 | 2 | 1 | 6 |
| DeepSeek V4 Flash | 3 | 7 | 3 | 0 | 13 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 4 | 8 | 1 | 0 | 13 |
| Kimi K2 | 4 | 7 | 2 | 0 | 13 |
| GLM 4.7 FlashX | 2 | 8 | 2 | 0 | 12 |
| MiniMax M2.5 | 0 | 6 | 2 | 0 | 8 |
| GPT-6 Luna | 4 | 8 | 2 | 2 | 16 |
| Muse Glimmer 30B | 2 | 7 | 0 | 1 | 10 |
Verbatim evidence the judge attached to positive labels.
“I'd generally recommend PostHog if you want the best balance of visitor behavior analytics, product analytics, and session replay in one place” GPT-5.4 mini · Session replay · paraphrase prompt · first choice
“GA4 + PostHog free... PostHog gives product analytics, session replay, feature flags and A/B testing in one free open-source stack.” Muse Glimmer 30B · Customer intel · budget prompt · first choice
“Choose PostHog if you are a startup/engineering team wanting analytics, replays, A/B tests, and feature flags in one place” Qwen 3.7 Flash · Product analytics · comparative prompt · first choice
“The Best Overall (Free/Freemium) Option: PostHog ... go-to recommendation for bootstrapped startups and companies on tight budgets” Qwen 3.7 Flash · Identity · budget prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“PostHog does offer data scrubbing features, but I was recently surprised to see their announcement about integrating AI to analyze session replays on behalf of users. This raises a red flag” Muse Glimmer 30B · Session replay · negative prompt · soft negative
“If you enable network capture, scrutinize it separately from replay masking: requests and responses can contain sensitive headers or bodies” GPT-6 Luna · Session replay · negative prompt · soft negative
“Usage- or event-metered tools—such as Mixpanel, Amplitude, and PostHog—when your event volume is hard to predict.” GPT-6 Luna · Product analytics · negative prompt · soft negative
“caution if you need marketing attribution, a non-technical setup, or immediate compliance certainty” Perplexity Sonar · Customer intel · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 355 of the 386 answers that named PostHog and are not a share of its labels.
886 of the 1,038 domain citations in answers naming PostHog came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 345 | 17 | 2026-09-16 | ||
| News or press | 195 | 11 | 2026-09-28 | ||
| Comparison | 175 | 0 | 2026-06-02 | ||
| Conference or event | 157 | undated | |||
| Glossary or explainer | 58 | 1 | 2026-07-21 | ||
| Case study | 53 | undated | |||
| Template or tool | 46 | undated | |||
| Report or ebook | 17 | 0 | 2023-12-19 | ||
| Webinar or virtual event | 4 | undated | |||
| Podcast or video | 1 | undated |
As the event pages on posthog.com state them, read September 28, 2026.
Every page posthog.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What PostHog's own pages state, read September 28, 2026: posthog.com, posthog.com/pricing, trust.posthog.com, posthog.com/platform-packages, posthog.com/customers. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when PostHog's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as PostHog, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for PostHog by email, built from the raw record of the edition. It shows:
PostHog is among the products AI models recommend first in Product analytics this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.