Every category where a model named Wellfound for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Job advertising and distribution	Talent acquisition	0%	16 of 109	0%	8	under 10 labels · led by JobTarget at 21%
AI recruiting assistants	Talent acquisition	0%	50 of 84	0%	1	under 10 labels · led by GoPerfect at 19%
Recruiting CRM and sourcing	Talent acquisition	0%	50 of 88	0%	1	under 10 labels · led by Lever at 20%
Talent intelligence	Performance and talent management	0%	62 of 77	0%	1	under 10 labels · led by Pin at 17%

Movement

This is the first edition on this tier, so no move can be computed for Wellfound yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Wellfound across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	1	1	2
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	3	0	3
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	1	1
DeepSeek V4 Flash	0	1	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	2	0	2
Kimi K2	0	0	0
GLM 4.7 FlashX	1	1	2
MiniMax M2.5	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase1 labelNone

Comparative12 labels1not counted in share

Budget-constrained8 labelsNone

Scale-constrained1 labelNone

Negative3 labelsNone

First choiceAlternativeMentionNegative25 labels in all, every segment counted; 0 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“excellent for mid-sized tech companies looking for agile, internet-native talent” Qwen 3.7 Flash · Job advertising · paraphrase prompt · alternative

“Wellfound offers free basic posting with paid features for advanced sourcing” Claude Haiku 4.5 · AI recruiting assistants · budget prompt · alternative

“Wellfound is the go-to platform for the global startup and tech ecosystem.” Gemini 3.5 Flash · Job advertising · comparative prompt · alternative

“in favor of niche networks (e.g., Wellfound or BuiltIn for tech)” Gemini 3.5 Flash · Job advertising · negative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Wellfound, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Wellfound was named but was not.

ProductSame answerTook the first choice insteadHead to head

Indeed17 of 2510Not in the top three

ZipRecruiter11 of 251Not in the top three

LinkedIn9 of 253Not in the top three

Glassdoor8 of 250Not in the top three

Pin6 of 252Not in the top three

Google for Jobs6 of 251Not in the top three

Handshake6 of 250Not in the top three

LinkedIn Jobs5 of 253Not in the top three

LinkedIn Recruiter5 of 251Not in the top three

Manatal5 of 251Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Wellfound. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 12 of the 25 answers that named Wellfound and are not a share of its labels.

Domains cited

pin.com8

bestjobsearchapps.com5

noon.ai5

g2.com4

selectsoftwarereviews.com4

firsthr.app3

glozo.com3

hiretruffle.com3

juicebox.ai3

money.com3

Forty-one of the forty-one domain citations in answers naming Wellfound came from somebody else's page.

Pages cited

noon.ai/blog/articles/143-best-job-posting-sites4

money.com/best-job-posting-sites-for-employers3

pin.com/blog/best-job-posting-sites3

pin.com/blog/indeed-alternatives3

talentlyft.com/blog/55-best-job-boards-in-2024-free-paid3

testlify.com/best-job-boards-that-you-should-know3

bestjobsearchapps.com/articles/en/linkedin-vs-indeed-vs-ziprecruiter-the-ultimate-threeway2

careerbldr.com/blog/job-boards-comparison-guide2

Pages are listed as the models cited them.

Names read as Wellfound

What the judge wrote, as written, with how often. The vendor table decides that these count as Wellfound; a claim can dispute any of them.

Wellfound (formerly AngelList Talent) 2Wellfound (AngelList Talent) 1Wellfound (formerly AngelList) 1Wellfound / AngelList 1

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Wellfound's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Wellfound, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at wellfound.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.