HockeyStack 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 2.1 for HockeyStack, and ranks ahead in 67% of the answers that name both.
Choose HockeyStack if…
- 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
Choose PostHog if…
- You want the brand AI engines rank higher (21 vs 2.1)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or GDPR or HIPAA coverage
- You prefer a larger, established vendor (201–500 employees)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | HockeyStack | PostHog |
|---|---|---|
| Visibility score | 2.1% | 21% |
| Change vs last week | New | New |
| Rank in Web Analytics | #25 | #7 |
| Share of voice | 0.6% | 6.1% |
| Mentions this run | 3 | 32 |
| Positive in AI answers | — | 57% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
HockeyStack 0pp · PostHog 0pp over 0 weekly runs.
Engine by engine
PostHog leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | HockeyStack | PostHog |
|---|---|---|---|
| Top web analytics tool options for B2B SaaS companies | ChatGPT | #8 | #2 |
| Top web analytics tool options for B2B SaaS companies | AI Mode | #1 | #3 |
| Top web analytics tool options for B2B SaaS companies | Perplexity | #5 | #4 |
Features, pricing & fit
| Dimension | HockeyStack | PostHog |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | Yes |
| Deployment | — | PostHog Cloud in US or EU regions, or self-hosted |
| Integrations | — | 926+ |
| Compliance | — | SOC 2 Type 2, GDPR, HIPAA |
| Support | Hands-on support from the customer success team | Community support on the free plan, Email support on pay-as-you-go, Slack support for plans over $2k/mo, Paid onboarding call |
| Founded | 2021 | 2020 |
| Headquarters | San Francisco, California, United States | San Francisco, CA, United States |
| Employees | 51–200 | 201–500 |
| Funding | Round announced April 2026 · $50M raised | Series E |
| Best for | Marketing leaders, GTM operations and sales leaders at B2B companies that need one view of pipeline across marketing and sales data | Product engineers, product managers, growth engineers and founders who want analytics, session replay, flags and experiments in one platform. |
Plans side by side
HockeyStack
Pricing not available.
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
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, “HockeyStack vs PostHog”, https://slateindex.ai/compare/hockeystack-vs-posthog, data of Nov 2, 2026. Licence: CC BY 4.0.