Why enterprise teams rank Greenhouse #1 in G2’s Fall 2026 Reports
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Key highlights
- Greenhouse keeps people in charge of hiring decisions. AI explains its work, humans make the call – and plays nicely with the AI tools, APIs and MCP connections teams are already using.
- The teams with the most on the line – the most stakeholders, the most compliance exposure, the least room to get it wrong – rank Greenhouse #1. That’s the enterprise and mid-market crowd.
- Greenhouse is a leader across G2’s Fall 2026 Reports: #1 in 29 reports, plus a Satisfaction score of 99 on the Enterprise and Mid-Market Grids.
- This one comes straight from customers. The recognition is built on verified reviews: how teams actually experience Greenhouse when they’re deep in the work of hiring.
We’ve got news worth sharing – and it comes from the people whose opinion matters most: our customers.
Greenhouse has been named a leader across G2’s Fall 2026 Reports. We were featured in 227 reports, earned 95 badges, ranked in the top three in 74 reports and took the #1 spot in 29 of them, including:
- Enterprise Grid® Report for Applicant Tracking Systems (ATS)
- Mid-Market Grid® Report for Applicant Tracking Systems (ATS)
- Enterprise EMEA Regional Grid® Report for Applicant Tracking Systems (ATS)
- United Kingdom Regional Grid® Report for Applicant Tracking Systems (ATS)
- Germany Regional Grid® Report for Applicant Tracking Systems (ATS)
We also earned a Satisfaction score of 99 on both the Enterprise and Mid-Market Grids. Those scores come straight from verified user reviews, which is what gives them weight – they capture how Greenhouse actually feels day to day, from usability to support to the results teams get.
The better question is why teams keep choosing Greenhouse while hiring keeps getting harder. Volume is climbing, AI is working its way into every stage and the pressure to move fast never lets up. That raises the bar for any hiring system: it has to be open to the AI teams are adopting and accountable for the decisions AI touches. Here’s how we help.
AI that’s built to make hiring better, not just faster
Plenty of vendors are bolting AI onto hiring and calling it progress. We take a clearer position: AI should strengthen a structured hiring process, and people should own the decisions that come out of it. That shows up in three ways: AI that finds the signal worth your recruiters’ time, AI you can explain and a platform that’s open to the tools your team already uses.
Find the signal in a sea of applicants, so recruiters spend time where it counts
When applications pour in, the hard part is spotting the people actually worth your time. Greenhouse AI takes the first pass: it surfaces strong candidates, clears the busywork and gets information ready for review. Talent filtering pulls the best matches to the front. AI drafts role-specific interview questions and suggests scorecard attributes. Candidate summaries boil a dense profile down to the highlights. At every step, the AI does the legwork and a person makes the call.
Automation, AI, and ID/fraud detection has been a game changer in helping us to be more efficient. We grew from a company of 225 to 900 in six months and were able to set up an entirely new recruiting function quickly after an acquisition. They were meeting hiring goals at 100% June of 2025, and just hit 110% for June 2026.
– Taylor F, Recruitment Coordinator, Mid-Market customer
Safely connects to the AI tools your team already uses
Love the ease of use and new MCP with AI platforms.
– Shawn Sheikh, Talent Acquisition Specialist, AfterShip, Small-Business customer
Instead of waiting for a single vendor to hand them AI, recruiting teams are building their own workflows across the tools they trust. Greenhouse meets that reality with deep integrations, an open API and support for MCP (Model Context Protocol), so teams can connect Greenhouse to the AI platforms and screening tools they already use, and keep hiring data moving where it needs to go.
MCP is what keeps that open door a governed one. It’s a connection layer that lets approved AI tools work with live Greenhouse data through your existing permissions, with every activity auditable. That way, teams skip the exports, brittle scripts and candidate data ending up somewhere security never signed off on.
In practice, that means an approved copilot can draft the weekly hiring-health summary, field a cross-team question like “why is engineering hiring stuck in EMEA?” or answer pipeline questions right inside Slack. And like the rest of Greenhouse AI, MCP surfaces and assembles the information and humans decide what to act on.
The API is super helpful, especially in the vibe-coding era.
– Pollyana Bittencourt, Senior Tech Recruiter (Ex-Amazon), Mid-Market customer
Explainable by design, and humans own decisions
Every AI output in Greenhouse can show its work – it’s grounded in what’s observable and traces back to a human decision. That’s on purpose. If AI can't explain itself, we don’t think it belongs in hiring.
Setting that bar before AI ever touches a workflow is what lets teams speed up without gambling on fairness, trust or governance – and it’s why Greenhouse earned ISO/IEC 42001 certification for responsible AI management and runs regular third-party bias audits.
The enterprise ATS built for high-stakes hiring
Enterprise hiring comes with a different kind of pressure: more stakeholders in the room, more compliance to answer for, more roles open at once and far less room to get it wrong. When something breaks at that level, the damage shows up everywhere – rework, delayed offers, audit risk, candidates who lose trust.
That’s exactly where Greenhouse proves its worth. Connected workflows, centralized data, and enterprise-grade governance, permissions and approvals keep hiring consistent and audit-ready across every region and team. No more stitching together point solutions and spreadsheets – teams run the whole process, from sourcing to onboarding, in one platform they can actually govern.
I love how easy Greenhouse is to use, and I really appreciate the customer support... Before Greenhouse, we had very limited access to any meaningful metrics, and almost everything was handled manually. I really like that I can quickly pull standard reports or build custom reports when I need something more specific.
– Kayla R., Talent Operations Specialist, Enterprise customer
It’s why enterprise and mid-market teams put Greenhouse at #1 this cycle – across the Enterprise Grid, the Mid-Market Grid, and the Enterprise EMEA, UK and Germany Regional Grids.
Filter out fraud before it costs recruiter time
Fraud has quietly turned into one of the toughest problems in hiring. AI has made faking it easier and more common – and this goes well beyond padded resumes, which are old news by now.
The numbers are hard to look away from. The 2026 AI in Hiring Report found that 91% of recruiters have run into candidate deception during hiring. The usual suspects: resume exaggeration (63%), fake references (48%) and AI-assisted interview answers (35%). As it gets easier to fake, teams are pouring more hours into verifying that people are who they say they are, all while application volume keeps climbing – so hiring starts to feel like a quality challenge and a security checkpoint rolled into one.
I find the fraud detection feature to be super helpful, especially when recruiting for tech roles. It saves us time when going through many applications and protects us from fraudulent activity.
– Mid-Market customer
Greenhouse helps you meet that at the very top of the funnel. Real Talent™ pairs identity verification with anti-fraud and anti-spam controls – including IP and email domain blocking – to clear out bad actors before they eat up recruiter hours or skew the decisions that follow. What’s left is a cleaner pool of qualified people who are a genuine fit, plus a clear record of how each one was evaluated.
Continuing to innovate alongside our customers
Recognition like this means something because of what’s behind it: the real, day-to-day experience of teams doing hard work in Greenhouse. As hiring gets noisier and the stakes get higher, people need systems that help them find great talent, work with confidence and adjust as things shift.
That’s what we’re building toward – listening, learning and evolving right alongside our customers, so we keep solving the problems that matter most to them.
Ready to see innovative AI hiring in action? Greenhouse Voice AI brings structured, explainable interviewing to the top of your funnel – giving every candidate a consistent first interview and handing recruiters back hours of screening time. See how it works.
FAQs
Why does Greenhouse rank #1 in G2’s Fall 2026 Reports?
G2 rankings are based on verified customer reviews, so they reflect how hiring teams actually experience the platform day to day – from usability and support to real hiring outcomes. In G2’s Fall 2026 Reports, Greenhouse ranked #1 in 29 reports, including the Enterprise and Mid-Market Grids, with a Satisfaction score of 99 on both.
How does Greenhouse use AI in hiring?
AI in Greenhouse surfaces signal, drafts scorecards and interview questions and summarizes candidate feedback to reduce manual work. It doesn’t score, rank or reject candidates on its own. Every output is explainable and traceable back to a human decision, so your team stays in control.
Does Greenhouse integrate with other AI tools and platforms?
Yes. Greenhouse offers deep integrations, an open API and support for MCP (Model Context Protocol), so teams can connect Greenhouse to the AI platforms, screening systems and workflows they already use.
Is Greenhouse a good fit for enterprise organizations?
Yes. Greenhouse offers connected workflows, centralized data and enterprise-grade governance, permissions and approvals that keep hiring consistent and defensible across regions and teams – which is why enterprise teams rank it #1 in G2’s Fall 2026 Enterprise Grid.
How does Greenhouse help with candidate fraud?
Real Talent™ combines identity verification with anti-fraud and anti-spam controls – including IP and email domain blocking – to filter out bad actors at the top of the funnel, before they reach recruiters or affect downstream decisions.
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