Greenhouse score factors
Editorial quality82
Practical utility86
Trust & transparency85
Freshness85
Engagement quality0
Momentum50
Decision guide · Reviewed Sep 8, 2026 · AI HR & Recruiting, AI Candidate Screening & Matching
Greenhouse
75.4
Workable
76Choose Greenhouse when you need mid-market to enterprise companies establishing structured, audited hiring pipelines with verified applicant screening. Choose Workable when you need small to mid-sized organizations wanting an integrated ATS, sourcing database, and HRIS with autonomous candidate screening.
At a glance
The practical differences
| Decision factor | Greenhouse | Workable |
|---|---|---|
| Best for | mid-market to enterprise companies establishing structured, audited hiring pipelines with verified applicant screening | small to mid-sized organizations wanting an integrated ATS, sourcing database, and HRIS with autonomous candidate screening |
| Not ideal for | micro-teams and budget-constrained organizations looking for monthly low-cost self-serve recruiting tools | teams looking for permanently free ATS tools or those needing only an external point solution for video interviewing or assessments |
| Pricing | At the review date, Greenhouse does not publish fixed rates; access is tiered across Core, Plus, and Pro tiers and priced via custom quotes based on hiring volume and organizational complexity. | As of September 2026, Workable starts at $299 per month billed annually for 1 to 20 employees on the Standard plan, scaling by headcount tier. Autonomous Workable Agent features require AI credits, with 3,000 complimentary credits included on paid plans. Always verify current pricing directly on Workable's website. |
| Key difference | Unlike standard applicant tracking systems that rely solely on resume filtering, Greenhouse combines structured scorecards with Real Talent fraud and identity verification, alongside automated two-way Voice AI screening interviews. | Unlike standalone recruiting chatbots or bolt-on sourcing add-ons, Workable combines an autonomous recruiting agent directly with a complete applicant tracking system and post-hire HRIS, backed by MCP support that allows external AI models to operate the platform natively. |
| Overall rank | #196 | #156 |
| Review verdict | Greenhouse suits growing and enterprise organizations that require structured, defensible interview processes, rigorous fraud prevention, and extensive system integrations. It is less appropriate for very small businesses or teams seeking self-serve, off-the-shelf software with transparent public pricing. | Workable suits growing and mid-market organizations seeking a centralized platform for recruiting syndication, candidate qualification, and core HR management without juggling separate software stacks. It is less suitable for organizations seeking an entirely free ATS or teams that only need an isolated candidate messaging widget without switching their core HR database. |
Workable score factors
Editorial quality82
Practical utility88
Trust & transparency85
Freshness86
Engagement quality0
Momentum50
Greenhouse strengths
- Combines applicant tracking with native AI voice interviews and verified identity checks.
- Promotes equitable hiring through structured scorecards, demographic survey tools, and resume anonymization.
- Extensive compliance coverage including SOC 1/2, ISO 27001, ISO 42001 (AI management), and DPF frameworks.
Workable strengths
- Native AI recruiting agent is embedded directly inside an established ATS and HRIS rather than sold as a disconnected layer
- Provides access to a passive database of over 400 million profiles alongside 200+ job board distribution channels
- Features open connectivity via REST APIs, webhooks, and the Model Context Protocol (MCP) for custom AI integration
- Broad compliance features including GDPR policy automation, CCPA support, EEOC/OFCCP tracking, and SOC 2/3 certifications
Frequently asked
Greenhouse vs Workable
Should I choose Greenhouse or Workable?+
Choose Greenhouse when you need mid-market to enterprise companies establishing structured, audited hiring pipelines with verified applicant screening. Choose Workable when you need small to mid-sized organizations wanting an integrated ATS, sourcing database, and HRIS with autonomous candidate screening. ToolsRank scores Greenhouse 75.4 and Workable 76; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Greenhouse cheaper than Workable?+
Greenhouse: At the review date, Greenhouse does not publish fixed rates; access is tiered across Core, Plus, and Pro tiers and priced via custom quotes based on hiring volume and organizational complexity. Workable: As of September 2026, Workable starts at $299 per month billed annually for 1 to 20 employees on the Standard plan, scaling by headcount tier. Autonomous Workable Agent features require AI credits, with 3,000 complimentary credits included on paid plans. Always verify current pricing directly on Workable's website. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai hr & recruiting?+
Workable currently scores higher for ai hr & recruiting work. Greenhouse remains the stronger pick when your priority is mid-market to enterprise companies establishing structured, audited hiring pipelines with verified applicant screening. Avoid Workable if you are teams looking for permanently free ATS tools or those needing only an external point solution for video interviewing or assessments.
Can I use Greenhouse and Workable together?+
Yes. Greenhouse stands out for unlike standard applicant tracking systems that rely solely on resume filtering, Greenhouse combines structured scorecards with Real Talent fraud and identity verification, alongside automated two-way Voice AI screening interviews. Workable stands out for unlike standalone recruiting chatbots or bolt-on sourcing add-ons, Workable combines an autonomous recruiting agent directly with a complete applicant tracking system and post-hire HRIS, backed by MCP support that allows external AI models to operate the platform natively. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.