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Index Talent acquisition AI recruiting assistants › Manatal vs SeekOut
AI recruiting assistants · September 2026 Edition

Manatal vs SeekOut

Zero of twelve models named Manatal first on the direct prompt; one named SeekOut. Manatal was named by ten of the twelve models and SeekOut by ten and Manatal carries 19 labels and SeekOut 13, so the shares are not directly comparable.

Manatal

accepted challenger

Named in seven categories this edition.

SeekOut

accepted challenger

Named in six categories this edition.

First-choice share12%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 13; printed, not drawn.
Labels1913A 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.Workable was named alongside these two in seven of the twelve direct answers. GoPerfect vs Manatal · GoPerfect vs SeekOut · Workable vs Manatal

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 AI recruiting assistants page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
ManatalFirst choices, of twelve modelsSeekOut
Direct01
Paraphrase00
Comparative001 against Manatal
Budget-constrained50
Scale-constrained00
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Manatal and SeekOut 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
Manatal SeekOut first choice named as an alternative argued againstblank: not namedEach cell is one answer, Manatal on the left and SeekOut on the right.

The direct prompt

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

SeekOut first, Manatal not the choice

1 of 12 modelsManatal was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSeekOut alternatives: Paradox

Neither was named

11 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5GoPerfect alternatives: Juicebox, Workable
Gemini 3.5 FlashAshby alternatives: Findem, Humanly, Juicebox
Perplexity SonarGoPerfect alternatives: Autonomy Recruit, Workable
Grok 4.1 FastWorkable alternatives: Ashby, hireEZ
Mistral SmallAshby alternatives: Greenhouse, TheHireHub.AI, hireEZ
DeepSeek V4 FlashGreenhouse alternatives: Ashby, Gem, SmartRecruiters, Workable, hireEZ
Llama 4 MaverickAutonomy Recruit alternatives: Humanly, Lever, TheHireHub.AI
Qwen 3.7 FlashGem alternatives: Ashby, Autonomy Recruit, Greenhouse, TheHireHub.AI
Kimi K2Greenhouse alternatives: GoPerfect, Lever, Workable
GLM 4.7 FlashXTheHireHub.AI alternatives: Ashby, Autonomy Recruit, Greenhouse, Workable
MiniMax M2.5TheHireHub.AI alternatives: Ashby, Lever, Workable

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 9
SeekOut0%#– of 9
The full small business standing →
Mid-marketThe figures above
Manatal leads by ten points.
Manatal12%#3 of 13
SeekOut2%#6 of 13
The full mid-market standing →
Enterprise
The order flips: SeekOut leads at enterprise.
SeekOut2%#7 of 10
Manatal0%#– of 10
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.

“built for SMBs that want one platform instead of a toolchain, though it's not as sophisticated as enterprise platforms” Claude Haiku 4.5 · comparative prompt · soft negative
“I'd suggest starting with Manatal at $19/user/month or Pin if you want to test before committing (free tier)” MiniMax M2.5 · budget prompt · first choice
“Manatal ($15/user/month) offers the best combination of AI features, affordability, and ease of use” DeepSeek V4 Flash · budget prompt · first choice

What the models said about SeekOut

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

“the best choice is usually SeekOut if your main need is finding, sourcing, screening, and engaging professional/knowledge-worker candidates” GPT-5.4 mini · direct 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.