
PostHog
Analytics
Hotjar
AnalyticsPostHog and Hotjar are both popular choices, but they serve different needs. PostHog is a Analytics with a traditional, manual approach to building, while Hotjar is a Analytics that prioritises developer or designer control.
Below you'll find a side-by-side breakdown of detection signals, AI scores, and technical fingerprints — plus our honest take on which builder wins for different use cases.
How we detect PostHog vs Hotjar — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
| Category | Analytics | Analytics |
| AI Score | 10/100 — Unknown | 10/100 — Unknown |
| Detection Signals | 4 patterns | 3 patterns |
| Script Detection | 3 patterns | 1 patterns |
| CDN Detection | — | — |
| Header Detection | — | — |
| Sites Detected | No data yet | No data yet |
| Best For | Professional websitesTry PostHog → | Professional websitesTry Hotjar → |
| Official Website | Visit | Visit |
Analytics
PostHog is a analytics with an AI Score of 10/100 (Unknown). Our detection engine uses 4 signal patterns to identify PostHog-built sites.
Analytics
Hotjar is a analytics with an AI Score of 10/100 (Unknown). Our detection engine uses 3 signal patterns to identify Hotjar-built sites.
PostHog is an open-source product analytics platform used by engineering and product teams who want full control over their user behavior data, session recordings, and feature flag management. Unlike SaaS-only analytics tools, PostHog can be self-hosted or deployed via PostHog Cloud, which means detection signals vary depending on how a given site has implemented it. AIWebsiteDetector's detection engine identifies PostHog installations using 3 distinct script patterns — typically referencing PostHog's CDN-served library or self-hosted JavaScript bundles — alongside 1 HTML pattern that appears in the page markup when the tracker is initialized. These signals are cross-referenced to produce a confident match whether the implementation points to PostHog's managed cloud infrastructure at posthog.com or a custom self-hosted endpoint. The dual deployment model — cloud versus self-hosted — makes PostHog one of the more technically interesting analytics platforms to detect reliably, as the script fingerprints must account for both standardized CDN paths and operator-customized configurations.
Hotjar is a behavior analytics and user feedback platform widely adopted by UX researchers, product teams, and digital marketers to visualize how visitors interact with web pages through heatmaps, session recordings, and on-site surveys. AIWebsiteDetector's detection engine identifies Hotjar deployments using a combination of one distinct script pattern and two HTML patterns, typically centered around Hotjar's characteristic inline initialization code and the presence of specific markup injected into the DOM during tag loading. These signals reliably surface whether Hotjar has been implemented via direct script embed or through a tag manager integration, as the platform's fingerprint remains consistent across deployment methods. Hotjar operates as a SaaS platform with its tracking assets served from its own CDN infrastructure, meaning the recognizable script references and HTML artifacts it leaves behind serve as high-confidence identifiers regardless of the underlying site technology or CMS. This consistency in its client-side footprint makes Hotjar one of the more straightforward analytics tools to detect accurately, with minimal ambiguity between its signals and those of competing behavior analytics platforms.
Choose PostHog if…
Choose Hotjar if…
Our Pick — Based on our detections
The most frequently detected analytics in our scan database.
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