Looker vs Hotjar: Analytics Comparison (2026)
An independent side-by-side comparison of Looker and Hotjar for analytics buyers — pricing, features, integrations, and how often each is cited by major AI engines.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask analytics questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Too early to call — probes still building data.
ChatGPT
Looker
8 / 163 probes
5%
PoorHotjar
Tracking…
No data yet
Perplexity
Looker
0 / 163 probes
0%
InvisibleHotjar
Tracking…
No data yet
Gemini
Looker
0 / 163 probes
0%
InvisibleHotjar
Tracking…
No data yet
Claude
Looker
11 / 163 probes
7%
Below averageHotjar
Tracking…
No data yet
Copilot
Looker
16 / 348 probes
5%
PoorHotjar
Tracking…
No data yet
Scale:NoneLowFairStrongExcellent
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
Looker
- ✓LookML for SQL-based modeling
- ✓Integration with Data Studio
- ✓Cloud infrastructure on Google Cloud
- ✓Prebuilt and custom integrations
Hotjar
- ✓200k monthly sessions
- ✓1 project
- ✓Replays, Heatmaps + Funnels
- ✓Basic surveys
- ✓Error & performance monitoring
When to choose Looker
Choose Looker if your team prioritizes its strengths over Hotjar's. Full guidance populates as Looker's feature data is indexed.
When to choose Hotjar
Choose Hotjar if your team prioritizes its strengths over Looker's. Full guidance populates as Hotjar's feature data is indexed.