HeapBetter Insights. Faster.
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · Web Analytics · weekly run Nov 2
Heap vs Looker
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Heap is the stronger AI pick in Web Analytics: it has a visibility score of 3.3 versus 1.4 for Looker.
Choose Heap if…
- You want the brand AI engines rank higher (3.3 vs 1.4)
- You need SOC 2 Type II or GDPR compliant or CCPA compliant or ISO 27701 or ISO 27017 or ISO 27018 coverage
- Automatic event capture (autocapture)
- Retroactive analysis without a predefined tracking plan
Choose Looker if…
- AI answers describe it more positively (30% vs 15% 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 | Heap | Looker |
|---|---|---|
| Visibility score | 3.3% | 1.4% |
| Change vs last week | New | New |
| Rank in Web Analytics | #20 | #30 |
| Share of voice | 1.8% | 0.4% |
| Mentions this run | 9 | 2 |
| Positive in AI answers | 15% | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Heap 0pp · Looker 0pp over 0 weekly runs.
Engine by engine
Heap leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
HeapLooker
Head to head in AI answers
0 engine answers name both brands
0Heap ranked higher
0Looker ranked higher
Features, pricing & fit
| Dimension | Heap | Looker |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Contact sales | — |
| Free plan | Yes | — |
| Deployment | Cloud-based; deployment starts by installing a free tracking snippet on the site | Google Cloud |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type II, GDPR compliant, CCPA compliant, ISO 27001, ISO 27701, ISO 27017, ISO 27018 | SOC 2, ISO 27001, FedRAMP, HIPAA |
| Support | Email support, Standard support, Dedicated customer success manager (Premier), Heap Community | — |
| Funding | Series D · $205M raised | Series E · $280M raised |
| Best for | Product and growth teams that want complete user behavior data without engineering-led event tagging | — |
Plans side by side
Heap
Free$0month, up to 10k monthly sessions
GrowthCustomestimate after installing snippet
ProCustomcustom session pricing
PremierCustomcustom session pricing
Looker
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Heap
- Automatic event capture (autocapture)
- Retroactive analysis without a predefined tracking plan
- Reduced manual instrumentation and faster implementation
- Links product analytics with UX and digital-experience analytics
- Free tier available
- Paid pricing largely quote-based, not published
- Free plan limited to about 10,000 monthly sessions
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, “Heap vs Looker”, https://slateindex.ai/compare/heap-vs-looker, data of Nov 2, 2026. Licence: CC BY 4.0.