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Index › Talent acquisition › Job advertising › ZipRecruiter vs Broadbean
Job advertising and distribution · October 2026 Edition

ZipRecruiter vs Broadbean

Zero of fourteen models named ZipRecruiter first on the direct prompt; zero named Broadbean. ZipRecruiter was named by twelve of the fourteen models and Broadbean by nine and ZipRecruiter carries 21 labels and Broadbean 11, so the shares are not directly comparable.

ZipRecruiter

accepted challenger

Named in four categories this edition.

Broadbean

accepted challenger

Named in one category this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate24%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 14; printed, not drawn.
Labels2111A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ZipRecruiter reading right to left. Rank and label count are printed, not drawn.Appcast was named alongside these two in eleven of the fourteen direct answers. JobTarget vs ZipRecruiter · JobTarget vs Broadbean · Appcast vs ZipRecruiter

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 job advertising and distribution page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ZipRecruiterFirst choices, of fourteen modelsBroadbean
Direct00
Paraphrase111 against Broadbean
Comparative10
Budget-constrained00
Scale-constrained00
Negative005 against ZipRecruiter
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 ZipRecruiter and Broadbean 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
GPT-6 Luna
Muse Glimmer 30B
ZipRecruiter Broadbean first choice named as an alternative argued againstblank: not namedEach cell is one answer, ZipRecruiter on the left and Broadbean on the right.

The direct prompt

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

Neither was named

14 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Joveo alternatives: Appcast, JobTarget
GPT-5.4 miniJoveo alternatives: Appcast, JobTarget, Talroo, Veritone Hire
Gemini 3.5 FlashAdway alternatives: JobTarget, Joveo, Veritone Hire
Perplexity SonarStackAdapt alternatives: 6sense, Appcast, Demandbase
Grok 4.1 FastPandoLogic alternatives: Appcast, Recruitics
Mistral SmallAdaptive Talent alternatives: JobAdX, TalentBurst
DeepSeek V4 FlashAppcast alternatives: Joveo, Talroo, VONQ
Llama 4 Maverickno first choice
Qwen 3.7 FlashAppcast alternatives: Joveo, LinkedIn Ads, Talroo
Kimi K2Joveo alternatives: Appcast
GLM 4.7 FlashXJobTarget alternatives: Appcast, Joveo, PandoLogic, Recruitics
MiniMax M2.5Appcast, LinkedIn Talent Solutions alternatives: Adway, Indeed Programmatic, PandoLogic
GPT-6 LunaJobTarget Programmatic+ alternatives: Appcast
Muse Glimmer 30BJoveo alternatives: Appcast

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
ZipRecruiter leads by seven points.
ZipRecruiter7%#4 of 13
Broadbean0%#– of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
ZipRecruiter2%#6 of 14
Broadbean2%#7 of 14
The full mid-market standing →
Enterprise
The order flips: Broadbean leads at enterprise.
Broadbean7%#3 of 11
ZipRecruiter0%#8 of 11
The full enterprise standing →

What the models said about ZipRecruiter

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

“Even legitimate sites like Indeed, LinkedIn, and ZipRecruiter have scammers posting fake listings.” Kimi K2 · negative prompt · soft negative
“Indeed, LinkedIn, ZipRecruiter: Scammers post fakes here impersonating real companies” Grok 4.1 Fast · negative prompt · soft negative
“If you need to fill multiple general roles quickly: Use ZipRecruiter to blast your listing across the web” Gemini 3.5 Flash · comparative prompt · first choice
“I'd recommend ZipRecruiter as the top job posting distribution tool.” Grok 4.1 Fast · paraphrase prompt · first choice
“The go-to for Small to Medium Businesses (SMBs) needing immediate coverage.” Qwen 3.7 Flash · comparative prompt · alternative

What the models said about Broadbean

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

“buying a massive, standalone enterprise distribution tool (like Broadbean or Appcast) is often overkill and highly inefficient” Gemini 3.5 Flash · paraphrase prompt · soft negative
“I'd recommend Broadbean if your priority is reliable multi-channel job distribution” Perplexity Sonar · paraphrase prompt · first choice
“Excellent if you want a hybrid of traditional job posting (flat-fee boards) and programmatic performance-based posting in a single interface.” Gemini 3.5 Flash · scale prompt · alternative
“Broadbean is a solid alternative when repeatable feed-based multiposting is the priority.” Muse Glimmer 30B · budget prompt · alternative
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.