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Recruitment marketing and career sites · November 2026 Edition

Greenhouse vs Gem

Four of fourteen models named Greenhouse first on the direct prompt; two named Gem. Greenhouse was named by ten of the fourteen models and Gem by ten and Greenhouse carries 20 labels and Gem 14, so the shares are not directly comparable.

Greenhouse

accepted challenger

Named in fourteen categories this edition.

Gem

accepted challenger

Named in eight categories this edition.

First-choice share9%5%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#4#6A position in a field of 17; printed, not drawn.
Labels2014A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Greenhouse reading right to left. Rank and label count are printed, not drawn.Teamtailor was named alongside these two in nine of the fourteen direct answers. Teamtailor vs Greenhouse · Teamtailor vs Gem · Manatal vs Greenhouse

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 recruitment marketing and career sites page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
GreenhouseFirst choices, of fourteen modelsGem
Direct421 against Gem
Paraphrase001 against Greenhouse
Comparative00
Budget-constrained00
Scale-constrained11
Negative00
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 Greenhouse and Gem 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
Greenhouse Gem first choice named as an alternative argued againstblank: not namedEach cell is one answer, Greenhouse on the left and Gem on the right.

The direct prompt

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

Greenhouse first, Gem an alternative

4 of 14 modelsGem was named in the answer but not as the choice, or not at all.
Grok 4.20Greenhouse alternatives: Breezy HR, Freshteam, JobScore, Teamtailor, Zoho Recruit
Mistral SmallGreenhouse alternatives: Beamery, Freshteam, JobDiva, TalentLyft
Qwen 3.7 FlashGreenhouse, Lever alternatives: Beamery, Phenom Talent Experience Cloud, SmartDreamers
Kimi K2Greenhouse alternatives: Gem, Recruitee, SmartRecruiters, Teamtailor, Workable

Gem first, Greenhouse not the choice

2 of 14 modelsGreenhouse was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashGem alternatives: Ashby, Clinch, Jobvite, Lever, Teamtailor
GPT-6 LunaGem alternatives: Phenom

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 4.5Teamtailor, Workable alternatives: Greenhouse, Jobvite
DeepSeek V4 FlashAshby alternatives: Gem, Greenhouse, Lever, SmartRecruiters
GLM 4.7 FlashXTeamtailor alternatives: Gem, Recruitee, Workable, Zoho Recruit
MiniMax M2.5Workable alternatives: Beamery, Greenhouse, Teamtailor

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniTeamtailor alternatives: Jobvite, Workable
Perplexity SonarTeamtailor alternatives: Ashby, Clinch, Lever, Recruitee, SmartDreamers, SmartRecruiters, Workable
Llama 4 Maverickno first choice
Muse Glimmer 30BRecruitee, Teamtailor alternatives: TalentLyft, 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.
Greenhouse0%#– of 12
Gem0%#– of 12
The full small business standing →
Mid-marketThe figures above
Greenhouse leads by four points.
Greenhouse9%#4 of 17
Gem5%#6 of 17
The full mid-market standing →
Enterprise
Greenhouse leads by five points.
Greenhouse5%#6 of 15
Gem0%#– of 15
The full enterprise standing →

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.

“Start with Lever or Greenhouse if you want an all-in-one solution that combines ATS and basic recruitment marketing.” Qwen 3.7 Flash · direct prompt · first choice

What the models said about Gem

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

“Avature or Gem-style stacks are stronger, but they're more often chosen by teams with more complex recruiting operations” GPT-5.4 mini · direct prompt · soft negative
“Examples in this category often include Teamtailor, Beamery, Gem, or Phenom.” Qwen 3.7 Flash · scale 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.