Google Analytics vs Looker
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Google Analytics is the stronger AI pick in Web Analytics: it has a visibility score of 68.6 versus 1.4 for Looker, and ranks ahead in 100% of the answers that name both.
Choose Google Analytics if…
- You want the brand AI engines rank higher (68.6 vs 1.4)
- Free for standard web analytics use
- Industry standard and most widely used web analytics tool
- Useful for web traffic, acquisition and marketing attribution
Choose Looker if…
- AI answers describe it more positively (30% vs 26% positive)
- You need SOC 2 or FedRAMP or HIPAA coverage
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Google Analytics | Looker |
|---|---|---|
| Visibility score | 68.6% | 1.4% |
| Change vs last week | New | New |
| Rank in Web Analytics | #1 | #30 |
| Share of voice | 12.9% | 0.4% |
| Mentions this run | 64 | 2 |
| Positive in AI answers | 26% | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Google Analytics 0pp · Looker 0pp over 0 weekly runs.
Engine by engine
Google Analytics leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Google Analytics | Looker |
|---|---|---|---|
| Compare the leading Web Analytics platforms | ChatGPT | #1 | #11 |
Features, pricing & fit
| Dimension | Google Analytics | Looker |
|---|---|---|
| Deployment | — | Google Cloud |
| Compliance | ISO 27001 | SOC 2, ISO 27001, FedRAMP, HIPAA |
| Founded | 2005 | — |
| Headquarters | Mountain View, California | — |
| Employees | 5,000+ | — |
| Funding | — | Series E · $280M raised |
Pros and cons
Themes from the AI answers that mention each brand
Google Analytics
- Free for standard web analytics use
- Industry standard and most widely used web analytics tool
- Useful for web traffic, acquisition and marketing attribution
- Integrates with Google Search Console, Google Ads and BigQuery
- Shows organic traffic, conversions and revenue from search
- Not well suited to in-app product behaviour analytics
- Complexity, data sampling and privacy compliance hurdles
- Pageview-centric model outgrown by growing products
Looker
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
- Developer-centric data modeling via LookML
- Around 4.5 out of 5 stars on Gartner Peer Insights
- Quote-only enterprise pricing starting above $60,000 a year
- Poor fit for NoSQL-heavy data stacks or standalone embedded needs
- Less suited to teams using macOS without virtual machines
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Google Analytics vs Looker”, https://slateindex.ai/compare/google-analytics-vs-looker, data of Nov 2, 2026. Licence: CC BY 4.0.