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Staffing agency platforms · October 2026 Edition

Bullhorn vs Lever

Six of fourteen models named Bullhorn first on the direct prompt; zero named Lever. Bullhorn was named by fourteen of the fourteen models and Lever by nine and Bullhorn carries 50 labels and Lever 10, so the shares are not directly comparable.

Bullhorn

criticized challenger

Named in six categories this edition.

Lever

accepted challenger

Named in thirteen categories this edition.

First-choice share22%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate28%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 12; printed, not drawn.
Labels5010A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Bullhorn reading right to left. Rank and label count are printed, not drawn.Zoho Recruit vs Bullhorn · Zoho Recruit vs Lever · Bullhorn vs Manatal

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the staffing agency platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
BullhornFirst choices, of fourteen modelsLever
Direct602 against Bullhorn
Paraphrase433 against Bullhorn
Comparative90
Budget-constrained006 against Bullhorn
Scale-constrained301 against Bullhorn
Negative002 against Bullhorn · 1 against Lever
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Bullhorn and Lever stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Bullhorn Lever first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bullhorn on the left and Lever on the right.

The direct prompt

The plain question, one answer per model, grouped by where Bullhorn and Lever stood in it.

Bullhorn first, Lever not the choice

6 of 14 modelsLever was named in the answer but not as the choice, or not at all.
GPT-5.4 miniBullhorn alternatives: Aviont\u00e9, JobAdder, Recruit CRM, Vincere
Perplexity SonarBullhorn alternatives: Recruit CRM, Recruiterflow
Grok 4.1 FastBullhorn alternatives: Aviont\u00e9, TempWorks, Vincere
Mistral SmallBullhorn, Ceipal ATS alternatives: Avionté, Recruit CRM
GLM 4.7 FlashXBullhorn alternatives: Avionte, Deelo, JobAdder, Recruit CRM, Vincere
Muse Glimmer 30BBullhorn alternatives: JobAdder, Recruit CRM, Vincere

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashLoxo, Worksome alternatives: Bullhorn, Deel, JobAdder, Recruit CRM, TalentDesk.io
DeepSeek V4 FlashVincere alternatives: Bullhorn, PCRecruiter
Qwen 3.7 FlashJobAdder alternatives: Aptos, Bullhorn, RecruitCRM

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Llama 4 Maverickno first choice
Kimi K2Vincere alternatives: Crelate, JobAdder
MiniMax M2.5Recruiterflow, Vincere alternatives: Ceipal, Manatal
GPT-6 LunaPixid VMS alternatives: Conexis VMS, Workday VNDLY

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Bullhorn leads by four points.
Bullhorn4%#4 of 10
Lever0%#– of 10
The full small business standing →
Mid-marketThe figures above
Bullhorn leads by seventeen points.
Bullhorn22%#2 of 12
Lever5%#6 of 12
The full mid-market standing →
Enterprise
Bullhorn leads by forty-two points.
Bullhorn42%#1 of 11
Lever0%#– of 11
The full enterprise standing →

What the models said about Bullhorn

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Bullhorn: Avoid if you're a small agency and cannot justify the enterprise-oriented scope or validate the exact package.” Llama 4 Maverick · negative prompt · hard negative
“Avoid Bullhorn unless you need enterprise-grade compliance features or have 50+ users—it's overkill and overpriced” Kimi K2 · direct prompt · hard negative
“Avoid platforms like Bullhorn or JobDiva initially” Kimi K2 · budget prompt · hard negative
“Choose Bullhorn or TempWorks if you are a traditional staffing business looking to manage your database, clients, and back-office payroll in-house.” Gemini 3.5 Flash · comparative prompt · first choice
“Bullhorn remains the long-standing enterprise CRM and ATS for staffing and recruitment agencies globally with strong on automation and deep integrations.” Muse Glimmer 30B · comparative prompt · first choice
“Bullhorn is the go‑to all‑in‑one platform for agencies that want a widely adopted system with strong AI and communication tools.” GLM 4.7 FlashX · comparative prompt · first choice

What the models said about Lever

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“better suited to internal hiring than external or high-volume staffing, so they can be a poor fit for agencies” Perplexity Sonar · negative prompt · soft negative
“If you want a single platform that handles both active applicants and passive candidates with strong nurturing and automation: Go with Lever or Ashby.” GLM 4.7 FlashX · paraphrase prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.