← AI Recommendation IndexOpen Data · Rolling 4-week window

PostHog vs UXCam

A fact-by-fact comparison of PostHog and UXCam — sourced and dated — plus the part no generic comparison shows: which one AI assistants actually recommend more, engine by engine.

Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 6, 2026

What AI recommends — by engine

Recommendation share = the % of sampled AI answers, over a 4-week rolling window, that recommend each product. Higher is better.

CLAUDE

PostHog

1.3%

UXCam

0.3%

GEMINI

PostHog

1.9%

UXCam

0.6%

GROK

PostHog

2%

UXCam

0.5%

CHATGPT

PostHog

1.4%

UXCam

0.2%

PERPLEXITY

PostHog

1.5%

UXCam

0.4%

The facts — sourced & dated

posthog.com

Features

  • ExperimentsSource · Verified Sep 5, 2026
  • SurveysSource · Verified Sep 5, 2026
  • Managed warehouseSource · Verified Sep 5, 2026
  • CDPSource · Verified Sep 5, 2026
  • WorkflowsSource · Verified Sep 5, 2026
  • LogsSource · Verified Sep 5, 2026
  • AI ObservabilitySource · Verified Sep 5, 2026
  • Error TrackingSource · Verified Sep 5, 2026
  • Product AnalyticsSource · Verified Sep 5, 2026
  • Web AnalyticsSource · Verified Sep 5, 2026
  • Session ReplaySource · Verified Sep 5, 2026
  • Feature FlagsSource · Verified Sep 5, 2026

Integrations

  • HubSpotSource · Verified Sep 5, 2026
  • PostgresSource · Verified Sep 5, 2026
  • StripeSource · Verified Sep 5, 2026

Platforms

  • WebSource · Verified Sep 5, 2026

Pricing

  • FreeSource · Verified Sep 5, 2026
uxcam.com

Features

  • DashboardsSource · Verified Sep 5, 2026
  • Session ReplaySource · Verified Sep 5, 2026
  • Issue AnalyticsSource · Verified Sep 5, 2026
  • HeatmapsSource · Verified Sep 5, 2026
  • AI AnalystSource · Verified Sep 5, 2026

PostHog vs UXCam — FAQ

Does AI recommend PostHog or UXCam more?

PostHog is recommended more often: it appears in 1.6% of sampled AI answers versus 0.4% for UXCam, measured across the live AI engines over a rolling 4-week window.

Which AI engines were used to compare PostHog and UXCam?

Recommendation share is measured on CLAUDE, GEMINI, GROK, CHATGPT, PERPLEXITY using neutral, buyer-shaped prompts (no product names), aggregated over a 4-week rolling window. See the methodology for prompt design and sample sizes.

Own one of these products? Claim your profile to keep its facts accurate.

Recommendation share and entity resolution follow the Index methodology. Facts are sourced from each vendor's own pages and re-verified periodically. Customer status does not affect measurement. Free to use with attribution to orbator.io.

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