Questions to Ask AI Recruiting Vendors

Comparing AI recruiting tools by feature checklist is the most reliable way to pick the wrong one. Every vendor checks every box. The useful comparison is structured around the five categories that actually predict satisfaction at twelve months: capability, cost, risk, roadmap, and references. Each has questions that vendors find harder to answer with marketing copy.

1. Capability questions

The goal is to test whether the tool genuinely runs your end-to-end motion or just adds AI features on top of one stage.

• Show me a real candidate journey from sourcing to offer, not a slide deck
• What happens when the AI gets a decision wrong, and where does the override surface in the recruiter UI
• How does the platform handle non-English resumes, unusual career paths, and bootcamp candidates
• What is the integration model: does it expose agent-readable APIs (MCP) or is everything through the vendor UI
• What part of my current stack does this replace, and what stays

2. Cost questions

The seat price is the start of the conversation. The goal here is to find what is not bundled.

• What is the 12-month TCO at our seat count, including AI usage, integrations, SSO, and reporting
• Is voice screening flat-rate or metered; what is the overage policy
• Are SSO, audit log export, and SCIM in the base plan or upgrades
• What does year-two pricing look like, and is the renewal-year price locked
• Which integrations are bundled and which are billed separately

3. Risk questions

The failure modes you want to surface before you sign, not after.

• What is the false-negative rate on resume screening, and how is it measured
• Can I see per-decision score explanations and an exportable audit log
• What is your incident response when a candidate appeals or alleges bias
• How are recruiter overrides captured as training feedback
• What happens to my data if we churn off the platform

4. Roadmap questions

You are buying direction, not just current features. Direction matters more than feature parity at year one.

• What did you ship in the last 12 months, and what is on the next 12 month roadmap
• Which models do you use, and how do you upgrade them when better ones ship
• What is your position on Model Context Protocol and agent-friendly APIs
• Where do you see the boundary between vendor and customer responsibility moving
• What customer feedback is shaping the next major release

5. Reference questions

The single most useful step in the entire evaluation. Most buyers skip it or run it as a formality. The discipline is to talk to three customers who match your shape (size, sector, hiring profile) and ask the questions vendors will not.

• What was the rollout actually like; where did it go wrong
• What did you have to do that the vendor underestimated
• What does steady-state look like at twelve months on real numbers, not pitch numbers
• If you were doing it again, what would you do differently
• Would you renew today, and at what price

Five categories, twenty-five questions. Vendors who answer all of them clearly are the short list. Vendors who deflect on more than three are not.

How to score answers

Build a one-page comparison sheet with the five categories as columns and each vendor as a row. Score each category 1 to 5 with a short reason, not a vibe. Add weights if your bottleneck is concentrated; for most teams the weights run cost > capability > risk > references > roadmap. The exercise itself is what makes the decision defensible to procurement and finance.

For the visual side-by-side, see the AI recruiting tools comparison chart. For the cost specifics, read how much AI recruitment software costs and the hidden-costs checklist.