LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
PostHogYour product's context layer.
Comparison · Web Analytics · weekly run Nov 2
Looker vs PostHog
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
PostHog is the stronger AI pick in Web Analytics: it has a visibility score of 21 versus 1.4 for Looker, and ranks ahead in 50% of the answers that name both.
Choose Looker if…
- You need SOC 2 or ISO 27001 or FedRAMP coverage
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
- Developer-centric data modeling via LookML
Choose PostHog if…
- You want the brand AI engines rank higher (21 vs 1.4)
- AI answers describe it more positively (57% vs 30% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or GDPR coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Looker | PostHog |
|---|---|---|
| Visibility score | 1.4% | 21% |
| Change vs last week | New | New |
| Rank in Web Analytics | #30 | #7 |
| Share of voice | 0.4% | 6.1% |
| Mentions this run | 2 | 32 |
| Positive in AI answers | 30% | 57% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Looker 0pp · PostHog 0pp over 0 weekly runs.
Engine by engine
PostHog leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LookerPostHog
Head to head in AI answers
2 engine answers name both brands
1Looker ranked higher
1PostHog ranked higher
| Prompt | Engine | Looker | PostHog |
|---|---|---|---|
| What should a web analytics tool integrate with? | Perplexity | #2 | #3 |
| Compare the leading Web Analytics platforms | ChatGPT | #11 | #5 |
Features, pricing & fit
| Dimension | Looker | PostHog |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | Yes |
| Deployment | Google Cloud | PostHog Cloud in US or EU regions, or self-hosted |
| Integrations | — | 926+ |
| Compliance | SOC 2, ISO 27001, FedRAMP, HIPAA | SOC 2 Type 2, GDPR, HIPAA |
| Support | — | Community support on the free plan, Email support on pay-as-you-go, Slack support for plans over $2k/mo, Paid onboarding call |
| Founded | — | 2020 |
| Headquarters | — | San Francisco, CA, United States |
| Employees | — | 201–500 |
| Funding | Series E · $280M raised | Series E |
| Best for | — | Product engineers, product managers, growth engineers and founders who want analytics, session replay, flags and experiments in one platform. |
Plans side by side
Looker
Pricing not available.
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
PostHog
- Open-source, developer-first platform
- All-in-one bundle of analytics, session replay, feature flags and A/B testing
- Transparent, public pay-as-you-go pricing
- Generous free tier for small teams
- Strong adoption and best value for startups
- Pricing often requires sales-assisted quotes
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Looker vs PostHog”, https://slateindex.ai/compare/looker-vs-posthog, data of Nov 2, 2026. Licence: CC BY 4.0.