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Index › HR › Talent acquisition › Recruitment marketing › Workable vs Beamery
Recruitment marketing and career sites · November 2026 Edition

Workable vs Beamery

Two of fourteen models named Workable first on the direct prompt; zero named Beamery. Workable was named by eleven of the fourteen models and Beamery by twelve and Workable carries 20 labels and Beamery 21, so the shares are not directly comparable.

Workable

accepted challenger

Named in fourteen categories this edition.

Beamery

accepted challenger

Named in ten categories this edition.

First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 17; printed, not drawn.
Labels2021A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Workable 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 Workable · Teamtailor vs Beamery · Manatal vs Workable

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.
WorkableFirst choices, of fourteen modelsBeamery
Direct202 against Beamery
Paraphrase00
Comparative01
Budget-constrained201 against Workable · 1 against Beamery
Scale-constrained01
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 Workable and Beamery 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
Workable Beamery first choice named as an alternative argued againstblank: not namedEach cell is one answer, Workable on the left and Beamery on the right.

The direct prompt

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

Workable first, Beamery an alternative

2 of 14 modelsBeamery was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Teamtailor, Workable alternatives: Greenhouse, Jobvite
MiniMax M2.5Workable alternatives: Beamery, Greenhouse, Teamtailor

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniTeamtailor alternatives: Jobvite, Workable
Perplexity SonarTeamtailor alternatives: Ashby, Clinch, Lever, Recruitee, SmartDreamers, SmartRecruiters, Workable
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
GLM 4.7 FlashXTeamtailor alternatives: Gem, Recruitee, Workable, Zoho Recruit
Muse Glimmer 30BRecruitee, Teamtailor alternatives: TalentLyft, Workable

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashGem alternatives: Ashby, Clinch, Jobvite, Lever, Teamtailor
Grok 4.20Greenhouse alternatives: Breezy HR, Freshteam, JobScore, Teamtailor, Zoho Recruit
DeepSeek V4 FlashAshby alternatives: Gem, Greenhouse, Lever, SmartRecruiters
Llama 4 Maverickno first choice
GPT-6 LunaGem alternatives: Phenom

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
Workable leads by twelve points.
Workable12%#4 of 12
Beamery0%#11 of 12
The full small business standing →
Mid-marketThe figures above
Workable leads by five points.
Workable7%#5 of 17
Beamery2%#8 of 17
The full mid-market standing →
Enterprise
The order flips: Beamery leads at enterprise.
Beamery3%#7 of 15
Workable0%#– of 15
The full enterprise standing →

What the models said about Workable

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

“its listed entry price is $299/month for companies with 1–20 employees, so it may be more than a tight budget calls for” GPT-6 Luna · budget prompt · soft negative
“options like Manatal ($15/user/month), Workable ($299/month), or Teamtailor are recommended for their ease of setup and relatively lower costs” Llama 4 Maverick · budget prompt · first choice

What the models said about Beamery

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

“Examples in this category often include Teamtailor, Beamery, Gem, or Phenom.” Qwen 3.7 Flash · scale prompt · first choice
“Deep Automation & Segmentation | Beamery or Phenom” Qwen 3.7 Flash · comparative prompt · first choice
Also compared
Teamtailor vs WorkableTeamtailor vs BeameryManatal vs WorkableManatal vs BeameryZoho Recruit vs WorkableZoho Recruit vs BeameryGreenhouse vs WorkableGreenhouse vs BeameryWorkable vs GemWorkable vs TalentLyftGem vs BeameryTalentLyft vs BeameryAll twenty-eight head-to-head pages and the full recruitment marketing 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.