Culture Amp vs Greenhouse AI
A detailed comparison to help you choose between Culture Amp and Greenhouse AI.
How to choose
Neither tool has user reviews on ToolSpotter yet, so we don't pick a winner. Compare them on what they're built for: Culture Amp — People teams at 200+ employee companies who treat engagement measurement as a strategic, benchmarked discipline and want performance and development attached to the same data.; Greenhouse AI — Mid-market and enterprise companies that have committed to structured hiring and want the deepest integration ecosystem in the ATS market..
Culture Amp Employee feedback platform that turns survey data into actionable insights | Greenhouse AI AI-powered hiring platform | |
|---|---|---|
| Rating | 4.2 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | paid |
| Starting Price | From $5/mo | From $200/mo |
| Best For | People teams at 200+ employee companies who treat engagement measurement as a strategic, benchmarked discipline and want performance and development attached to the same data. | Mid-market and enterprise companies that have committed to structured hiring and want the deepest integration ecosystem in the ATS market. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | ssoteam features | team featuresssoapi access |
| Visit Culture Amp → | Visit Greenhouse AI → |
Culture Amp
Pros
- + Survey methodology and question design are visibly stronger than generic pulse tools — items measure specific constructs rather than vibes
- + Benchmarking against external company data puts survey scores in context immediately, not just against your own last quarter
- + AI comment summaries condensed hundreds of open-text responses into themes matching my manual reading, with links back to source comments
- + AI Coach is included in every plan and its suggested manager actions were concrete conversation prompts, not platitudes
- + Service tiers scale sensibly — named Customer Success partner and implementation PM from the 200–999 band up
Cons
- - No list price, no free plan, no trial — every plan is quote-based and billed annually, so budgeting requires a sales call
- - Proprietary scoring concepts (Retention Insights, Performance Culture Quadrant) are not explained transparently on the pricing page
- - Not an HRIS: core records and payroll must live elsewhere and flow in via HRIS integrations
- - Under 200 employees gets only group Customer Success support, and the depth may exceed what a small team needs
- - Bespoke reporting cuts can feel constrained by the platform's own analysis framework
Greenhouse AI
Pros
- + Scorecards and interview kits enforce comparable feedback — in my rebuild of a pipeline, candidate comparison stopped being a note-reconciliation exercise
- + Talent Matching explains every ranking against recruiter-weighted calibrations, and I watched scores move when I changed the weights
- + 400-plus integrations and an open API make it the hub the rest of the HR stack plugs into
- + Real Talent's fraud signals (phone, email, IP, location) and CLEAR identity verification address the AI-generated-application problem head-on
- + 7,500-plus customer companies and 15 years of operation make the reference base unusually deep
Cons
- - No public pricing, no free trial, no monthly billing — every deal goes through sales on an annual contract
- - Billing scales with total company headcount, so costs rise with company size even when hiring volume is flat
- - Implementation fees and add-ons (Real Talent, sourcing automation) push all-in year-one cost well past the quote
- - AI value depends on your team's existing scorecard discipline — it cannot compensate for sloppy structured-hiring habits
- - 2025 plan renaming and PE ownership mean third-party pricing data is stale and renewal uplifts are commonly reported at 8-15%
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