Looker vs Quantum Metric
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Quantum Metric is the stronger AI pick in Web Analytics: it has a visibility score of 2.6 versus 1.4 for Looker, and ranks ahead in 0% of the answers that name both.
Choose Looker if…
- You need SOC 2 or ISO 27001 or FedRAMP or HIPAA coverage
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
- Developer-centric data modeling via LookML
Choose Quantum Metric if…
- You want the brand AI engines rank higher (2.6 vs 1.4)
- AI answers describe it more positively (33% vs 30% positive)
- You need SOC 2 Type II or ISO/IEC 27001 or HITRUST coverage
- Blends quantitative product analytics with qualitative context like session replays and error monitoring
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Looker | Quantum Metric |
|---|---|---|
| Visibility score | 1.4% | 2.6% |
| Change vs last week | New | New |
| Rank in Web Analytics | #30 | #22 |
| Share of voice | 0.4% | 1.3% |
| Mentions this run | 2 | 7 |
| Positive in AI answers | 30% | 33% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Looker 0pp · Quantum Metric 0pp over 0 weekly runs.
Engine by engine
Quantum Metric leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Looker | Quantum Metric |
|---|---|---|---|
| What should a web analytics tool integrate with? | Perplexity | #2 | #8 |
Features, pricing & fit
| Dimension | Looker | Quantum Metric |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | Google Cloud | Cloud-based service |
| Compliance | SOC 2, ISO 27001, FedRAMP, HIPAA | SOC 2 Type II, ISO/IEC 27001, HITRUST |
| Support | — | Dedicated account management and customer success team, Onboarding under industry-specific playbooks, Expert-led and self-guided training, Ongoing consultation with customer success experts |
| Founded | — | 2015 |
| Headquarters | — | Colorado Springs, Colorado, US |
| Employees | — | 201–500 |
| Funding | Series E · $280M raised | Series B |
| Best for | — | Enterprise CX, product, UX, marketing and development teams in retail, financial services, travel and hospitality, telco, gaming and healthcare. |
Plans side by side
Looker
Pricing not available.
Quantum Metric
Pros and cons
Themes from the AI answers that mention each brand
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
Quantum Metric
- Blends quantitative product analytics with qualitative context like session replays and error monitoring
- Strong recognition from analysts and research
- Best for enterprise digital experience and session replay
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Looker vs Quantum Metric”, https://slateindex.ai/compare/looker-vs-quantum-metric, data of Nov 2, 2026. Licence: CC BY 4.0.