Looker vs FullStory: Analytics Comparison (2026)
An independent side-by-side comparison of Looker and FullStory 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.
FullStory leads overall — 57% cited vs Looker 3% across 1000 probes.
ChatGPT
Looker
3 / 86 probes
3%
PoorFullStoryLeads
48 / 86 probes
56%
ExcellentPerplexity
Looker
0 / 86 probes
0%
InvisibleFullStoryLeads
35 / 86 probes
41%
GoodGemini
Looker
0 / 87 probes
0%
InvisibleFullStoryLeads
37 / 87 probes
43%
GoodClaude
Looker
7 / 86 probes
8%
Below averageFullStoryLeads
41 / 86 probes
48%
GoodCopilot
Looker
3 / 155 probes
2%
PoorFullStoryLeads
122 / 155 probes
79%
ExcellentScale: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
FullStory
- ✓30,000 monthly sessions
- ✓12 months of analytics retention
- ✓Session Replay
- ✓Basic analytics
- ✓Debugging tools
- ✓Core capabilities for 10 users
When to choose Looker
Choose Looker if your team prioritizes its strengths over FullStory's. Full guidance populates as Looker's feature data is indexed.
When to choose FullStory
Choose FullStory if your team prioritizes its strengths over Looker's. Full guidance populates as FullStory's feature data is indexed.