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AI recruiting assistants · November 2026 Edition

Ashby vs Greenhouse

Six of fourteen models named Ashby first on the direct prompt; three named Greenhouse. Ashby was named by twelve of the fourteen models and Greenhouse by fourteen and Ashby carries 28 labels and Greenhouse 34, so the shares are not directly comparable.

Ashby

accepted challenger

Named in seven categories this edition.

Greenhouse

accepted challenger

Named in fourteen categories this edition.

First-choice share15%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 13; printed, not drawn.
Labels2834A 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 vs Ashby · Workable vs Greenhouse · Manatal vs Ashby

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 AI recruiting assistants page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
AshbyFirst choices, of fourteen modelsGreenhouse
Direct631 against Greenhouse
Paraphrase211 against Greenhouse
Comparative00
Budget-constrained00
Scale-constrained00
Negative002 against Ashby · 2 against Greenhouse
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.

Across every category in the November 2026 Edition, Ashby and Greenhouse were named in the same answer 163 times, of the 244 answers naming Ashby and the 456 naming Greenhouse. In those answers Greenhouse took the first choice thirty-six times and Ashby seventeen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Ashby and Greenhouse stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
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
Ashby Greenhouse first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ashby on the left and Greenhouse on the right.

The direct prompt

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

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
GPT-5.4 miniAshby, Greenhouse alternatives: Ceipal, Lever, Recruiterflow, Zoho Recruit

Ashby first, Greenhouse an alternative

5 of 14 modelsGreenhouse was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Ashby alternatives: Gem, Greenhouse, Lever
Perplexity SonarAshby alternatives: Greenhouse, Lever
Qwen 3.7 FlashAshby alternatives: Gem, HireVue, Paradox, X-Team
Kimi K2Ashby alternatives: Workable
GPT-6 LunaAshby alternatives: Gem

Greenhouse first, Ashby not the choice

2 of 14 modelsAshby was named in the answer but not as the choice, or not at all.
Mistral SmallGreenhouse, Workable
Muse Glimmer 30BGreenhouse, Workable alternatives: Paradox, SeekOut, hireEZ

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 FlashGem, Juicebox alternatives: Ashby, Fetcher, Findem, Metaview
Grok 4.20Recruiterflow alternatives: Ashby, Braintrust AIR, Findem, Greenhouse, HireVue, SeekOut
DeepSeek V4 FlashGem alternatives: Ashby, Greenhouse, SeekOut, Workable

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickTheHireHub.AI alternatives: Humanly, Workable
GLM 4.7 FlashXTheHireHub.AI alternatives: Gem, Leelu AI, Workable, hireEZ
MiniMax M2.5Leelu AI, Workable alternatives: Braintrust AIR, HRBlade, 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
Ashby leads by two points.
Ashby2%#7 of 11
Greenhouse0%#10 of 11
The full small business standing →
Mid-marketThe figures above
Ashby leads by eight points.
Ashby15%#3 of 13
Greenhouse8%#4 of 13
The full mid-market standing →
Enterprise
The order flips: Greenhouse leads at enterprise.
Greenhouse2%#9 of 13
Ashby0%#– of 13
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. Two of two in this category shown.

“including Greenhouse, Lever, and Ashby, may be in violation of the Fair Credit Reporting Act (FCRA)” Qwen 3.7 Flash · negative prompt · soft negative
“Ashby (potential FCRA issues in consumer reporting)” Grok 4.20 · negative prompt · soft negative

What the models said about Greenhouse

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

“Avoid Greenhouse unless you specifically need enterprise-grade structured hiring workflows and are comfortable with custom pricing in the $10K+ range.” Kimi K2 · direct prompt · soft negative
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.