Bullhorn AI Resume Screening: What It Actually Does

Short answer: Yes, but not on the plans that publish a price. Checked on August 18, 2026, Bullhorn parses resumes on every tier including the $99 Starter plan, and its Amplify AI produces four different candidate scores. The one that reads a resume and ranks the pile, though, starts at Bullhorn Pro, and fully agentic screening starts at Bullhorn Max. Both of those tiers are quote-only. Bullhorn Starter at $99 and Core at $165 per user per month are the only rates on the page, and neither includes AI screening.

Last updated August 2026.

Does Bullhorn use AI to screen resumes?

Yes. Bullhorn's Amplify Screener analyzes a candidate's resume and the job description together, generates screening questions tailored to that pairing, conducts the screen asynchronously by voice or chat, and scores the responses. Separately, Bullhorn Search and Match reads candidate records and produces a ranked list with relevancy scores. So resume-aware AI screening genuinely exists in the product, and anyone telling you Bullhorn is a database with no intelligence in it has not looked recently.

The catch is where it sits in the price list. Resume parsing, which is the mechanical step of turning a CV into structured fields, is included in Bullhorn Starter at $99 per user per month. Every AI capability that makes a judgment about a candidate lives higher. That distinction between parsing and judging is the whole story on this page, and it is the same distinction that separates Greenhouse, which parses and filters but deliberately refuses to score candidates for role fit, from vendors that do rank.

Which Bullhorn plan includes AI screening?

Bullhorn publishes exactly two rates for small agencies and quotes everything else. Read the table as a ladder with a break in it, because the break falls precisely where the AI starts.

Plan	Published rate	AI included
Bullhorn Starter	$99 per user/month	Resume parsing only. No AI screening, matching or scoring
Bullhorn Core	$165 per user/month	Still none. Adds the 300+ partner app marketplace, custom fields and workflows, LinkedIn integrations
Bullhorn Pro	Quote only	Amplify AI begins here: search and match, chat, data enrichment, automation, AI resume formatting, call transcription, real-time analytics
Bullhorn Max	Quote only	Amplify Digital Workers: agentic screening, agentic matching, multi-step outreach, website chatbot, interview scheduling

Every larger-agency plan, meaning Front Office Growth, Front Office Enterprise, Bullhorn One and the Salesforce-based Recruitment Cloud, is quote-only as well. So is every Amplify product sold on its own. The practical consequence is simple: the honest answer to "what does Bullhorn AI screening cost" is that nobody outside a sales cycle knows, and any article giving you a confident annual figure is guessing. For the tiers that do publish, our full breakdown of Bullhorn pricing works through what a multi-seat desk actually pays.

What are the Bullhorn scores, and which one screens resumes?

This is the part most comparison articles get wrong, because Bullhorn has four distinct scores that do four different jobs, and they are easy to conflate. Bullhorn's own documentation separates them cleanly.

Score	What it measures	Scale	What it needs
Relevancy Score	How likely a candidate is to be placed in a given job, compared using Bullhorn's dataset of real hiring outcomes	Not published	Amplify or Search and Match
Classic Matching Score	Profile alignment on job title, location if enabled, category, skills, specialties and industries	Not published	Available only without Amplify
Screening Score	Candidate fit based on screening interview responses plus the Bullhorn profile, including the resume	0 to 100	The candidate must complete an Amplify Screener
Engagement Score (BHA)	Email opens, link clicks, job views and applications	Over 75 generally means actively engaged	Bullhorn Automation activity tracking

Read the last column carefully, because it contains the answer to the question people are really asking. The 0 to 100 Screening Score is the most detailed judgment Bullhorn makes about a candidate, and it does not exist until that candidate completes a screening interview. It reads the resume as one input, but it is fundamentally a score about an interaction the candidate chose to complete.

That matters if your problem is an unread pile. Four hundred people applied to a job order on Monday. Most of them will never respond to a screening invitation, and the ones who do respond are not necessarily the ones best suited to the role, they are the ones with time and motivation on a Tuesday afternoon. A score that only exists after a candidate opts in cannot triage applications that nobody opened.

What does Bullhorn Amplify actually do?

Amplify is Bullhorn's AI layer, and its digital workers are marketed as trained virtual employees rather than single-purpose features. Bullhorn lists skills including Enrich, Match, Screen, Outreach, Present, Prospect, Transcribe, Verify, Audit and Extract. On screening specifically, Bullhorn describes it as conducting, summarizing and scoring candidate interviews around the clock and routing top talent to the right recruiter automatically.

The transparency controls deserve credit and are worth asking about in a demo. Bullhorn states that you can edit the generated questions, edit the scoring parameters, and access recordings, transcripts and analyses of candidate screens. That is more inspectable than a black-box fit percentage, and it is the right shape for a tool that produces employment-relevant scores.

Bullhorn also publishes customer outcome figures for Amplify, including 80% faster time-to-hire, 23% higher weekly gross profit and 42% of candidate screens occurring after hours. Treat vendor-reported outcomes as vendor-reported outcomes, but that last one is genuinely the most interesting number in the set, because after-hours screening is a real structural advantage for agencies competing on speed to submission.

Does Bullhorn rank candidates?

Yes, through Search and Match. Bullhorn describes it as generating a ranked list of the best-fit candidates most likely to get hired across all your recruitment sources, showing the top 10 matches in real time complete with relevancy scores indicating how likely each candidate is to be placed. The ranking draws on insights from more than 60 million historical placements.

Notice what that model is optimized for. It predicts placement likelihood, learned from what has actually been placed before. For a staffing agency that is a genuinely well-chosen objective, because a placement is the billable event and a recruiter's time is best spent on candidates who will close. It is a commercially intelligent design and it is aimed squarely at the business Bullhorn's customers are in.

It is a different objective from eligibility, though, and the difference is worth being deliberate about. "Most likely to be placed" and "meets the mandatory requirements for this specific requisition" are not the same question. A model trained on historical placement outcomes learns the patterns in who got hired before, which is useful signal and also a reason to keep humans reviewing and to keep audit documentation. If a role has a hard gate, a certification, a shift availability, a minimum years-in-role, an eligibility requirement the client will not waive, that gate needs checking explicitly rather than inferring it from placement propensity.

Is Bullhorn's AI screening the same as an ATS screening resumes automatically?

No, and this is the most common misunderstanding in the category. An applicant tracking system storing 400 applications is doing its job perfectly. Bullhorn is an excellent system of record and has been for two decades. But a record system tracks; it does not read on your behalf unless you have bought and configured a layer that does.

Bullhorn's screening layer exists and works, and it sits at Pro and Max. If you are on Starter or Core, which are the two tiers with published prices and therefore the two most small agencies actually buy, the resumes are parsed into tidy fields and then they wait for a human. That is not a flaw in the product. It is simply a fact about the packaging that matters when you are trying to work out why the pile never shrinks.

How does Bullhorn compare to other vendors on resume screening?

Here is the spread across the platforms we have checked directly, all verified from vendor documentation in August 2026. The only question in this table is whether the tool reads inbound applications and ranks them for you.

Vendor	Reads inbound resumes and ranks?	How it is gated
Bullhorn	Yes, via Amplify and Search and Match	Starts at the quote-only Pro tier; agentic screening at Max
Workable	Yes, Screening Assistant	Included in Recruiting plans; the agent is metered at 1 credit per candidate
SmartRecruiters	Yes, Winston Match ranks applicants	Upper editions, quote-only
iCIMS	Yes, Coalesce AI ranks on skills and experience	Included; agents and Copilot optional
Workday	Yes, via HiredScore AI for Recruiting	Licensed separately from core Recruiting
Greenhouse	No. Parses and filters, but refuses to score role fit	Not offered by design
HireVue	No. Its AI acts only on what a candidate completes	Quote-only
BambooHR	No native AI screening at all	Not offered

Bullhorn sits in the "yes, but priced through a conversation" group, alongside SmartRecruiters. That is a perfectly reasonable place for a vendor to sit. It just means you cannot budget for it from the website, which is worth knowing before you build a business case.

What about the Engagement Score and outreach?

The Engagement Score, also called the BHA Score, is worth a moment because it is easy to over-read. It is built from email opens, link clicks, job views and applications, with Bullhorn noting that above 75 generally indicates someone actively engaged. It measures the activity it can see, not the quality of the relationship.

The practical caveat: a score assembled from email opens is only as reliable as your email actually reaching the inbox. If your sequences are landing in spam folders, a genuinely interested candidate registers as disengaged, and the score quietly tells you the opposite of the truth. Before trusting engagement data to prioritize outreach, it is worth confirming that your messages are getting delivered rather than filtered, because otherwise you are ranking candidates by your own deliverability. Open tracking has also grown noisier as mail clients pre-fetch images on a recipient's behalf, which inflates opens without anyone reading anything.

What should an agency ask in a Bullhorn demo?

Ask which tier every AI feature you are shown actually lives in. Demos move fluidly between Core, Pro and Max, and the mapping is the single most useful thing to get in writing before you compare quotes.

Ask whether the Screening Score can be produced without the candidate completing an Amplify Screener, and what a recruiter sees for the applicants who never respond. That answer tells you whether the tool addresses your pile or only the responsive slice of it.

Ask what the Relevancy Score is trained on for your specific verticals, and what documentation Bullhorn can provide about bias testing for candidate ranking. Any tool that ranks applicants is an automated employment decision tool under the rules now governing them, and what you can document afterwards matters more than the model architecture. Our guide to AI hiring laws by state covers what applies where.

Finally, ask for the all-in annual number at your seat count, because Bullhorn is billed per recruiter. A ten-person desk on Core is $19,800 a year before a single AI feature is enabled, and Pro and Max are both above Core.

When a screening layer makes more sense than climbing the tier ladder

If you are on Starter or Core and the problem is that job orders draw more applications than anyone reads, you have three options and they are worth naming honestly. Buy up the Bullhorn ladder until you reach Amplify. Hire more recruiters to read faster. Or put a screening layer in front of the pile you already have and leave Bullhorn exactly where it is.

The third option is what Prescreener does, and the meter is the reason it fits this particular problem. It reads every inbound application, applies the knockout and eligibility criteria you set for that job order, asks the short screening questions you would ask on a first call, scores role-fit, and hands the pile back ranked with a written reason on every candidate. Plans are published at $199, $499 and $1,290 a month based on applicant volume and open jobs rather than recruiter seats, so a growing desk does not pay a second per-seat bill to get the pile read.

It ranks and flags; it never rejects. A recruiter makes every call, and the shortlist goes back into Bullhorn as the submissions you were always going to make. If you want the side-by-side, we keep an honest Bullhorn alternative comparison, and a Recruit CRM alternative page covering the other major per-seat agency ATS. For the underlying mechanics, bulk resume screening explains how a whole pile gets read at once.

The short version

Bullhorn does use AI to screen resumes. It parses on every plan, ranks by placement likelihood through Search and Match, and produces a 0 to 100 Screening Score once a candidate completes an Amplify Screener. What it does not do is include any of that in the two tiers whose prices you can read on the website. If you are budgeting from the published page, budget for storage and parsing, and treat AI screening as a separate conversation with a number nobody publishes.

For how the rest of the market prices and gates the same capability, our roundup of AI candidate screening software compares the field on where AI screening sits in the price list.