Looker vs Fathom: Analytics Comparison (2026)
An independent side-by-side comparison of Looker and Fathom 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.
Fathom leads overall — 7% cited vs Looker 2% across 108 probes.
ChatGPT
Looker
1 / 12 probes
8%
Below averageFathomLeads
2 / 12 probes
17%
AveragePerplexity
Looker
0 / 12 probes
0%
InvisibleFathom
0 / 12 probes
0%
InvisibleGemini
Looker
0 / 12 probes
0%
InvisibleFathom
0 / 12 probes
0%
InvisibleClaude
Looker
0 / 12 probes
0%
InvisibleFathomLeads
2 / 12 probes
17%
AverageCopilot
Looker
0 / 6 probes
0%
InvisibleFathom
0 / 6 probes
0%
InvisibleScale: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
Fathom
- ✓Up to 50 sites included
- ✓Ecommerce/event tracking included
- ✓Easy integration with all CMSs/frameworks
- ✓API access
- ✓Forever data retention
- ✓100% data ownership
- ✓No cookie banners required
- ✓Unlimited email reports
When to choose Looker
Choose Looker if your team prioritizes its strengths over Fathom's. Full guidance populates as Looker's feature data is indexed.
When to choose Fathom
Choose Fathom if your team prioritizes its strengths over Looker's. Full guidance populates as Fathom's feature data is indexed.