Greenhouse AI vs Culture Amp
A detailed comparison to help you choose between Greenhouse AI and Culture Amp.
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: 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 — 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 AI-powered hiring platform | Culture Amp Employee feedback platform that turns survey data into actionable insights | |
|---|---|---|
| Rating | 4.2 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | paid |
| Starting Price | From $200/mo | From $5/mo |
| Best For | Mid-market and enterprise companies that have committed to structured hiring and want the deepest integration ecosystem in the ATS market. | 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. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | team featuresssoapi access | ssoteam features |
| Visit Greenhouse AI → | Visit Culture Amp → |
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%
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
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