HockeyStackThe Command Center for B2B Revenue Teams.
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · Web Analytics · weekly run Nov 2
HockeyStack vs Looker
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
HockeyStack is the stronger AI pick in Web Analytics: it has a visibility score of 2.1 versus 1.4 for Looker.
Choose HockeyStack if…
- You want the brand AI engines rank higher (2.1 vs 1.4)
- Connects marketing touchpoints to product usage, revenue, and churn data
- Built specifically for B2B SaaS
- Does not require a large data engineering team
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
AI visibility side by side
Latest weekly run · Nov 2
| Metric | HockeyStack | Looker |
|---|---|---|
| Visibility score | 2.1% | 1.4% |
| Change vs last week | New | New |
| Rank in Web Analytics | #25 | #30 |
| Share of voice | 0.6% | 0.4% |
| Mentions this run | 3 | 2 |
| Positive in AI answers | — | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
HockeyStack 0pp · Looker 0pp over 0 weekly runs.
Engine by engine
HockeyStack leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
HockeyStackLooker
Head to head in AI answers
0 engine answers name both brands
0HockeyStack ranked higher
0Looker ranked higher
Features, pricing & fit
| Dimension | HockeyStack | Looker |
|---|---|---|
| Deployment | — | Google Cloud |
| Compliance | — | SOC 2, ISO 27001, FedRAMP, HIPAA |
| Support | Hands-on support from the customer success team | — |
| Founded | 2021 | — |
| Headquarters | San Francisco, California, United States | — |
| Employees | 51–200 | — |
| Funding | Round announced April 2026 · $50M raised | Series E · $280M raised |
| Best for | Marketing leaders, GTM operations and sales leaders at B2B companies that need one view of pipeline across marketing and sales data | — |
Pros and cons
Themes from the AI answers that mention each brand
HockeyStack
- Connects marketing touchpoints to product usage, revenue, and churn data
- Built specifically for B2B SaaS
- Does not require a large data engineering team
- Suited to connecting campaigns to pipeline and closed-won revenue
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, “HockeyStack vs Looker”, https://slateindex.ai/compare/hockeystack-vs-looker, data of Nov 2, 2026. Licence: CC BY 4.0.