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Index › Talent acquisition › Staffing agency tools › Recruit CRM vs Lever
Staffing agency platforms · October 2026 Edition

Recruit CRM vs Lever

Zero of fourteen models named Recruit CRM first on the direct prompt; zero named Lever. Recruit CRM was named by eleven of the fourteen models and Lever by nine and Recruit CRM carries 30 labels and Lever 10, so the shares are not directly comparable.

Recruit CRM

accepted challenger

Named in four categories this edition.

Lever

accepted challenger

Named in thirteen categories this edition.

First-choice share8%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate17%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 12; printed, not drawn.
Labels3010A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Recruit CRM reading right to left. Rank and label count are printed, not drawn.Bullhorn was named alongside these two in nine of the fourteen direct answers. Zoho Recruit vs Recruit CRM · Zoho Recruit vs Lever · Bullhorn vs Recruit CRM

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.
Recruit CRMFirst choices, of fourteen modelsLever
Direct00
Paraphrase53
Comparative00
Budget-constrained002 against Recruit CRM
Scale-constrained001 against Recruit CRM
Negative002 against Recruit CRM · 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 Recruit CRM 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
Recruit CRM Lever first choice named as an alternative argued againstblank: not namedEach cell is one answer, Recruit CRM on the left and Lever on the right.

The direct prompt

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

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniBullhorn alternatives: Aviont\u00e9, JobAdder, Recruit CRM, Vincere
Gemini 3.5 FlashLoxo, Worksome alternatives: Bullhorn, Deel, JobAdder, Recruit CRM, TalentDesk.io
Perplexity SonarBullhorn alternatives: Recruit CRM, Recruiterflow
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 named

8 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Grok 4.1 FastBullhorn alternatives: Aviont\u00e9, TempWorks, Vincere
DeepSeek V4 FlashVincere alternatives: Bullhorn, PCRecruiter
Llama 4 Maverickno first choice
Qwen 3.7 FlashJobAdder alternatives: Aptos, Bullhorn, RecruitCRM
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
Recruit CRM leads by twenty-six points.
Recruit CRM26%#2 of 10
Lever0%#– of 10
The full small business standing →
Mid-marketThe figures above
Recruit CRM leads by three points.
Recruit CRM8%#4 of 12
Lever5%#6 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Recruit CRM0%#– of 11
Lever0%#– of 11
The full enterprise standing →

What the models said about Recruit CRM

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

“Recruit CRM: Avoid if the plan's custom-field, API, or workflow limit does not match your process.” Llama 4 Maverick · negative prompt · hard negative
“even agency-focused tools like Recruit CRM can be risky if the plan's limits on custom fields, API access, or workflows do not match your process” Perplexity Sonar · negative prompt · soft negative
“There's no need to spend $100+/month with platforms like Bullhorn or Recruit CRM when you're budget-constrained.” DeepSeek V4 Flash · budget prompt · soft negative
“If you are a mid-sized B2B recruitment agency prioritizing cost-efficiency and AI sourcing, start with Recruit CRM.” Muse Glimmer 30B · paraphrase prompt · first choice
“Recruit CRM is the most popular and well-rounded choice” Mistral Small · paraphrase prompt · first choice
“🥇 Recruit CRM — Best Overall for Mid-Sized Agencies” DeepSeek V4 Flash · paraphrase 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.