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AI recruiting assistants · September 2026 Edition

Ashby vs SeekOut

Two of twelve models named Ashby first on the direct prompt; one named SeekOut. Ashby was named by ten of the twelve models and SeekOut by ten and Ashby carries 14 labels and SeekOut 13, so the shares are not directly comparable.

Ashby

accepted challenger

Named in seven categories this edition.

SeekOut

accepted challenger

Named in six categories this edition.

First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate21%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 13; printed, not drawn.
Labels1413A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Ashby 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 Ashby · GoPerfect vs SeekOut · Workable vs Ashby

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.
AshbyFirst choices, of twelve modelsSeekOut
Direct212 against Ashby
Paraphrase10
Comparative00
Budget-constrained00
Scale-constrained00
Negative001 against Ashby
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 Ashby 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
Ashby SeekOut first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ashby on the left and SeekOut on the right.

The direct prompt

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

Ashby first, SeekOut not the choice

2 of 12 modelsSeekOut was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashAshby alternatives: Findem, Humanly, Juicebox
Mistral SmallAshby alternatives: Greenhouse, TheHireHub.AI, hireEZ

SeekOut first, Ashby not the choice

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

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastWorkable alternatives: Ashby, hireEZ
DeepSeek V4 FlashGreenhouse alternatives: Ashby, Gem, SmartRecruiters, Workable, hireEZ
Qwen 3.7 FlashGem alternatives: Ashby, Autonomy Recruit, Greenhouse, TheHireHub.AI
GLM 4.7 FlashXTheHireHub.AI alternatives: Ashby, Autonomy Recruit, Greenhouse, Workable
MiniMax M2.5TheHireHub.AI alternatives: Ashby, Lever, Workable

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5GoPerfect alternatives: Juicebox, Workable
Perplexity SonarGoPerfect alternatives: Autonomy Recruit, Workable
Llama 4 MaverickAutonomy Recruit alternatives: Humanly, Lever, TheHireHub.AI
Kimi K2Greenhouse alternatives: GoPerfect, 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
Level: the same share of first choices.
Ashby0%#– of 9
SeekOut0%#– of 9
The full small business standing →
Mid-marketThe figures above
Ashby leads by five points.
Ashby7%#4 of 13
SeekOut2%#6 of 13
The full mid-market standing →
Enterprise
The order flips: SeekOut leads at enterprise.
SeekOut2%#7 of 10
Ashby0%#– of 10
The full enterprise standing →

What the models said about Ashby

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

“Potentially Greenhouse, Lever (by Employ), Ashby (FCRA investigations for AI screening/interviews)” Grok 4.1 Fast · negative prompt · soft negative
“Has a learning curve; avoid if your team wants simplicity” Kimi K2 · direct prompt · soft negative
“less "AI recruiter" and more ATS/workflow platforms” Perplexity Sonar · direct prompt · soft negative
“Ideal for startups and mid-market companies needing a unified system for ATS, CRM, scheduling, and analytics.” Mistral Small · direct prompt · first choice
“I'd recommend Ashby if you need a full ATS replacement, or Spark Hire if you already have an ATS” Kimi K2 · paraphrase 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.