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Index › Talent acquisition › Recruiting CRM › Manatal vs hireEZ
Recruiting CRM and sourcing · October 2026 Edition

Manatal vs hireEZ

Zero of fourteen models named Manatal first on the direct prompt; two named hireEZ. Manatal was named by eleven of the fourteen models and hireEZ by fourteen and Manatal carries 21 labels and hireEZ 27, so the shares are not directly comparable.

Manatal

accepted challenger

Named in nine categories this edition.

hireEZ

accepted challenger

Named in five categories this edition.

First-choice share15%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 10; printed, not drawn.
Labels2127A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Manatal reading right to left. Rank and label count are printed, not drawn.Gem was named alongside these two in nine of the fourteen direct answers. Gem vs Manatal · Gem vs hireEZ · Lever 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 Recruiting CRM and sourcing page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ManatalFirst choices, of fourteen modelshireEZ
Direct02
Paraphrase10
Comparative01
Budget-constrained601 against Manatal · 1 against hireEZ
Scale-constrained12
Negative001 against hireEZ
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 Manatal and hireEZ 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
Manatal hireEZ first choice named as an alternative argued againstblank: not namedEach cell is one answer, Manatal on the left and hireEZ on the right.

The direct prompt

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

hireEZ first, Manatal not the choice

2 of 14 modelsManatal was named in the answer but not as the choice, or not at all.
Perplexity SonarGem, hireEZ alternatives: Fetcher, Findem, SeekOut
Kimi K2Gem, hireEZ alternatives: LinkedIn Recruiter, SeekOut

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Jobvite, Workable alternatives: Gem, hireEZ
Gemini 3.5 FlashGem alternatives: Juicebox, hireEZ
Grok 4.1 FastLever alternatives: Gem, Greenhouse, Pin, Workable, hireEZ
Muse Glimmer 30BLever alternatives: Gem, Workable, hireEZ

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniLinkedIn Recruiter alternatives: Hiring Pro
Mistral SmallLever alternatives: Guideflow, Intervue, Pin
DeepSeek V4 FlashGem alternatives: Greenhouse, Lever, Workable
Llama 4 Maverickno first choice
Qwen 3.7 FlashGem alternatives: Apollo.io, SeekOut
GLM 4.7 FlashXno first choice
MiniMax M2.5Lever alternatives: Pin, Recruit CRM
GPT-6 LunaGem alternatives: LinkedIn Recruiter, SeekOut

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
Manatal leads by twenty-five points.
Manatal25%#1 of 12
hireEZ0%#11 of 12
The full small business standing →
Mid-marketThe figures above
Manatal leads by eight points.
Manatal15%#3 of 10
hireEZ8%#4 of 10
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Manatal4%#– of 12
hireEZ4%#7 of 12
The full enterprise standing →

What the models said about Manatal

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

“Manatal $15-30/mo) add AI/outreach but aren't "limited budget."” Grok 4.1 Fast · budget prompt · soft negative
“Recruit CRM or Manatal offer the best combination of affordability, ease of use, and modern AI features tailored to your size.” Claude Haiku 4.5 · paraphrase prompt · first choice
“I'd recommend starting with either Manatal (if you can afford $15/user) or Zoho Recruit (if you need free features)” MiniMax M2.5 · budget prompt · first choice

What the models said about hireEZ

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

“In recruiting/talent sourcing tools (e.g., LinkedIn Recruiter, HireEZ, SeekOut): Be cautious of platforms with outdated/stale data” Grok 4.1 Fast · negative prompt · soft negative
“Top tools for your size (per 2026 reviews): HireEZ (AI/multi-source), SeekOut (diversity), Gem (ATS-native).” Grok 4.1 Fast · scale prompt · first choice
“the strongest overall candidate sourcing tool is HireEZ if your priority is *dedicated sourcing*” Perplexity Sonar · direct prompt · first choice
Also compared
Gem vs ManatalGem vs hireEZLever vs ManatalLever vs hireEZManatal vs Zoho RecruitManatal vs PinManatal vs LinkedIn RecruiterManatal vs GreenhousehireEZ vs Zoho RecruithireEZ vs PinhireEZ vs LinkedIn RecruiterhireEZ vs GreenhouseAll twenty-eight head-to-head pages and the full Recruiting CRM standing

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.