TLDR
- A team already on Greenhouse might add Tracy AI Interviewer for video interviews that start when each applicant clicks, with questions drawn from their CV and a recording, transcript and integrity signals to review. It needs no ATS connection to run.
- Pick Greenhouse Voice AI when you already work in Greenhouse, or in one of the 60+ ATS it integrates with, and want a scored voice interview with the result on the candidate record.
- Both ask follow-up questions, accept your own questions, keep evidence and flag integrity signals. They differ on format, technical tasks, price model and where the result lands.
Fact-checked on 3 and 4 Nov 2026 against the vendors' own pages (see Sources).
Greenhouse added AI interviewing by acquisition. It completed the acquisition of Ezra AI Labs, a voice AI interviewer, on 27 May 2026, and Ezra's interviewer now sits inside Greenhouse as Voice AI. If your applicant tracking system already offers an AI interviewer, is that enough, or should you add a dedicated one such as Tracy AI Interviewer? The wider version of that question is in the AI interviewer in your ATS vs a dedicated one.
Tracy is built for the case where a voice screen is not enough. It can read each candidate's CV and ask 3 to 5 questions tailored to it and to the role, and it follows up on what the person actually said, waiting for the end of the answer before it speaks. Every applicant is interviewed when they click the link, at any hour, with no scheduling, so a large pool does not become a shortlist. Each result comes with the recording, a transcript timed to the recording, a written assessment per question with its reasoning and integrity signals for a reviewer.
If the category is new to you, what an AI interviewer is is the place to begin.
Greenhouse Voice AI vs Tracy at a glance
| Buying question | Tracy AI Interviewer | Greenhouse Voice AI |
|---|---|---|
| Format | Two-way video interview, recorded on both sides | Two-way voice: "Not a one-way recording, not a chatbot" |
| Follow-up questions | Yes: a vague answer gets a sharper question, and each follow-up depends on the answer before it | Yes, dynamic and tied to the team's rubric |
| Coding or technical task | Can introduce a coding task and probe the trade-offs | Not described on the Voice AI pages |
| CV or resume | Can read the CV and ask 3 to 5 questions tailored to it and to the role's must-haves (a setting) | A resume authenticity layer; questions built from the CV are not described on the pages we read |
| Volume and scheduling | Each applicant starts when they click, at any hour, with no recruiter and no calendar | Two-way voice interview; the pages state no interview count |
| Your own questions | Yes: questions drafted from the job description or your brief, or bring your own | Yes: recruiters and hiring managers set questions, rubric and role context |
| What the reviewer gets | Recording of both sides with a transcript timed to the recording, a written assessment per question with its reasoning, and integrity signals with their evidence | Score, recording, transcript, explanations and flags marked to the moment |
| Cheating or fraud checks | Integrity signals in the interview report: tab changes, abnormal eye tracking, live face detection, delay before an answer, external screens and other unusual patterns. They are signals for a reviewer, not a verdict | Cheat detection with timestamps, plus fraud detection and a resume authenticity layer |
| Languages | One interview language chosen at setup | 11 |
| ATS and connections | No ATS needed; runs from a link or an invitation. API and MCP connections (MCP guides for Claude, ChatGPT and Workable), Breezy HR guide, Zapier and Power Automate; customised versions can be requested by enterprise teams | 60+ providers; works without Greenhouse ATS |
| Where results land | In Tracy; a Zapier or Power Automate step can pass the result on | On the candidate record in your ATS, with depth varying by ATS |
| Published price | $7 per credit; first 3 results free | No number: annual subscription scaled to your organisation |
Where Greenhouse Voice AI is the better pick
Greenhouse may be enough for your roles. Its pages describe a structured voice interview with dynamic follow-up questions anchored to your rubric. It also answers candidates' questions, drawing only on information your team approved.
The evidence list is full: a score, the recording, the transcript, detailed explanations of the score, and inconsistencies in candidate behaviour marked to the moment they happened. Tracy's home page describes a written assessment for every question, with the reasoning and the timestamps behind it, so you read the words and then decide; what reviewers should see in an AI interview report covers that approach.
Integrity checks exist on both sides. Greenhouse lists cheat detection that flags signs of outside help, timestamped in the transcript, plus a fraud detection and resume authenticity layer. Tracy's interviews include integrity signals too, described in Tracy's post how AI interview cheating detection works and listed on Tracy's home page. We publish no detection rates for Tracy's signals, and we have none to compare with Greenhouse's.
Greenhouse also writes back. It says scores, transcripts and rationale land on the candidate record in your ATS, across 60+ providers, with integration depth varying by ATS. Tracy's help pages show a different route, covered below, and if recruiters live in the ATS and will not open a second tool, that is a real cost of choosing Tracy.
Greenhouse also publishes monthly independent bias audits and says SOC 2 Type II audit reports are on its trust portal. Its FAQ says the team makes every hiring decision, and its 60+ ATS page lists candidate actions that let a recruiter move a candidate forward or reject them from inside Voice AI. Tracy's pages say the decision stays with you.
Where Tracy differs
Tracy reads the CV. With CV check on, it asks 3 to 5 questions tailored to the CV and the job's must-have requirements, on top of the role's questions. Greenhouse's pages describe a resume authenticity layer and rubric-tied questions your team sets; they describe no questions built from each candidate's CV. For skilled roles, that is the difference between asking everyone the same thing and asking each person about their own work.
Tracy interviews every applicant on their own time. Each interview is its own session that starts when the candidate clicks the link, at any hour, with no recruiter and no scheduling, so hundreds of applicants can be interviewed over a hiring round. Greenhouse's pages state no interview count, so test the volume you expect with each.
Tracy's evidence is built for the reviewer who was not there: video of both sides, a transcript timed to the recording, a written assessment per question with its reasoning, and integrity signals with their evidence. Greenhouse offers a recording, transcript and flags too; the differences to test are the video, the per-question reasoning and what each signal shows.
Tracy also connects through an API and an MCP server, so interviews can be created and read from the tools a team already works in, and enterprise teams can ask for a customised setup. Greenhouse's 60+ ATS integrations are the more direct route when results must sit on the candidate record.
Tracy interviews are two-way video conversations. Greenhouse describes voice. If seeing the person matters for the role, test that difference on a real role.
Tracy's home page says it can introduce a coding task and probe the trade-offs behind an answer. No coding or technical task appears on the Greenhouse Voice AI pages we read, which does not mean Greenhouse cannot do it, so ask. If your first round is technical, see how a technical AI interview works.
Tracy also asks nothing of the candidate beyond a link. There is no install for the person being interviewed.
How Tracy fits with your ATS
Tracy does not need an ATS connection to run, and it works beside any ATS. It connects through an API and an MCP server, and its help pages describe several ways to use it next to one.
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MCP: the Connect page describes Tracy as an MCP server you add to Claude, ChatGPT, Mistral, Gemini or Copilot Studio, so you can set up an interview by asking in the chat.
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Workable and Breezy HR: the help page lists both under "Use it with your ATS". You connect Tracy and the ATS's own connector to the same Claude or ChatGPT chat, invite candidates from there, and read results back through the chat. On the Workable page, Workable shares each candidate's name and email and the interview results stay in Tracy; Breezy HR has a matching guide. See how Tracy works with Workable.
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Zapier: Tracy is an app with five triggers and an invite action. Result Ready starts a Zap when a result can be read, and carries the link to the result plus your own reference for the person, such as a CRM record ID, so the next step finds the right record.
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Power Automate and Dynamics 365: a custom connector with four actions, including Get results. It has no triggers, so a flow that reacts to a finished interview runs on a schedule and lists new result events.
None of those pages describes Tracy writing a score or summary into an ATS record by itself. A Zap or flow can carry the result link or the results to the next step, and that is the route to try if your recruiters stay in the ATS. Greenhouse's sync is the more direct one.
How pricing compares
| Pricing item | Tracy AI Interviewer | Greenhouse Voice AI |
|---|---|---|
| Published number | $7 per credit | None |
| Model | Pay per result: 1 credit per started 20 minutes | Annual subscription scaled to headcount, fair-use interview allowance |
| Seats | No seats | Priced as a standalone product, not a per-seat add-on |
| Trial | First 3 results free, no card needed to start | No free trial is listed; the page describes optional pilot periods as an opt-out window on the annual agreement, and an interactive demo |
| Contract | Credits never expire | Customers typically start with 12 months or more |
The cheaper option depends on your volume, and Greenhouse's number is not public, so we cannot give you a break-even point. Get the Greenhouse quote, then run the same arithmetic on Tracy's published rates. Ask Greenhouse what counts as fair use and what happens above the allowance.
Which should your team choose?
Choose Greenhouse Voice AI when:
- recruiters work in Greenhouse, Ashby, Lever, Workday or another of its 60+ ATS and want scores on the candidate record;
- you want Greenhouse's scored voice interview, cheat detection and fraud layer in one product;
- you need interviews in 11 languages;
- a bias-audit and governance story matters to your compliance review;
- an annual contract is fine and you want one vendor.
Choose Tracy AI Interviewer when:
- every applicant should get an interview, at any hour, with questions tailored to their CV;
- the first round should be on video;
- reviewers need the recording, a transcript timed to the recording, a written assessment per question and integrity signals;
- a coding task with follow-ups belongs in the first conversation;
- you want to pay per result, with no seat fee;
- you are not ready to connect an ATS, or you are happy to route results through Zapier or Power Automate;
- you want to read the words behind each assessment, next to the recording, and then decide.
You can also run both. Greenhouse says Voice AI works with or without its ATS, and Ezra stays available as a standalone product, so neither tool ties you to a single ATS. A reasonable split is Greenhouse for roles where a voice screen is enough and Tracy for technical roles where a coding task and video matter. Run one role through both and compare the second question each one asks. Tracy vs HireVue shows the same test against a different rival.
Questions
Does Greenhouse have an AI interviewer?
Do I need the Greenhouse ATS to use Greenhouse Voice AI?
Does Greenhouse Voice AI do video interviews or coding tasks?
How much does Greenhouse Voice AI cost?
Is there a free trial of Greenhouse Voice AI?
Can I use Tracy if my team already works in Greenhouse?
Does Tracy have cheating checks like Greenhouse?
Book a demo with one of your own first-round briefs, or try Tracy free with three results on us.
Sources
All sources retrieved 3 and 4 Nov 2026.
- Greenhouse, Voice AI interviewing: format, follow-ups, evidence, cheat detection, questions, languages, ATS integrations, pricing model, pilot terms and governance statements.
- Greenhouse, Voice AI now works with 60+ ATS platforms: integration depth, results landing on the ATS record and fraud detection, dated September 2026.
- Greenhouse, Greenhouse Voice AI feature page: scope read for coding or technical tasks, dated August 2026.
- Greenhouse, Greenhouse completes acquisition of Ezra AI Labs: acquisition completed 27 May 2026 and Ezra remaining a standalone product.
- Tracy AI Interviewer, home page: video interview, follow-ups, coding task, assessment per question, integrity signals, no card needed for the first 3 results.
- Tracy AI Interviewer, product page: questions from a brief or your own, CV check, recording and transcript timed to the recording, one interview language chosen at setup, no install for the person interviewed.
- Tracy AI Interviewer, hiring at volume: each applicant starts on click at any hour, with no recruiter and no calendar.
- Tracy AI Interviewer, pricing: credit price, billing by started 20 minutes, free results, no-answer policy, no seats and a setup customised to your workflow.
- Tracy AI Interviewer, AI interview cheating detection: the primary source for the integrity signals (tab changes, abnormal eye tracking, live face detection, average delay before an answer, external screens, other unusual patterns), reported for review while a person decides.
- Tracy AI Interviewer, Connect page: Tracy runs as an MCP server for Claude, ChatGPT, Mistral, Gemini and Copilot Studio.
- Tracy AI Interviewer, help: the Use it with your ATS section (Workable, Breezy HR) and the Zapier and Power Automate entries.
- Tracy AI Interviewer, Workable help page: invite flow through chat, name and email shared, results staying in Tracy.
- Tracy AI Interviewer, Breezy HR help page: the matching guide, where Breezy HR shares name and email and results stay in Tracy.
- Tracy AI Interviewer, Zapier help page: five triggers, the invite action, the Result Ready trigger and the reference carried back.
- Tracy AI Interviewer, Power Automate help page: four actions including Get results, and no triggers.