Every category where a model named Metaview 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
Talent intelligence	Performance and talent management	6%	6 of 77	0%	21	accepted challenger
AI recruiting assistants	Talent acquisition	2%	12 of 84	0%	5	under 10 labels · led by GoPerfect at 19%
Recruiting CRM and sourcing	Talent acquisition	2%	14 of 88	0%	6	under 10 labels · led by Lever at 20%
Skills intelligence	Performance and talent management	0%	61 of 162	0%	2	under 10 labels · led by TalentGuard at 19%
Video interviewing	Talent acquisition	0%	26 of 40	0%	1	under 10 labels · led by Spark Hire at 55%

Movement

This is the first edition on this tier, so no move can be computed for Metaview 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 Metaview across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

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

Direct13 labels3

Paraphrase5 labels1

Comparative38 labels4not counted in share

Budget-constrained19 labels4

Scale-constrained5 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative84 labels in all, every segment counted; 8 of the 12 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.

“Leads in AI for interviews... the only tool on this list that covers sourcing, interview capture, scorecards, and outreach in a single platform” Claude Haiku 4.5 · AI recruiting assistants · comparative prompt · first choice

“Jobin.cloud and Metaview stand out as the best options due to their robust free features and ease of use” Mistral Small · Recruiting CRM · budget prompt · first choice

“Metaview is a market leader. Trusted by fast-growing B2B brands like Deel, Brex, and Replit” Gemini 3.5 Flash · AI recruiting assistants · paraphrase prompt · first choice

“Offers a free tier with a work email... making it ideal for smaller teams” Mistral Small · Talent intelligence · budget prompt · first choice

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 Metaview, over the 84 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Metaview was named but was not.

ProductSame answerTook the first choice insteadHead to head

Eightfold AI49 of 847Not in the top three

Gem49 of 847Not in the top three

hireEZ45 of 841Not in the top three

Pin44 of 8417Not in the top three

SeekOut37 of 841Not in the top three

Beamery33 of 841Not in the top three

Loxo30 of 844Not in the top three

Manatal21 of 845Not in the top three

Phenom21 of 840Not in the top three

Lessie AI17 of 846Not 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 Metaview. 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 75 of the 84 answers that named Metaview and are not a share of its labels.

Domains cited

metaview.aiYour site63

pin.com52

learn.g2.com46

guideflow.com39

g2.com29

hiretruffle.com26

noon.ai23

lessie.ai22

selectsoftwarereviews.com22

peoplemanagingpeople.com19

278 of the 341 domain citations in answers naming Metaview came from somebody else's page.

Pages cited

metaview.ai/resources/blog/talent-intelligence-platforms46

learn.g2.com/best-talent-intelligence-software42

pin.com/blog/talent-intelligence-platforms36

guideflow.com/blog/talent-intelligence-software30

lessie.ai/blog/talent-intelligence-platforms22

g2.com/categories/talent-intelligence/small-business20

pin.com/blog/talent-intelligence-software20

wrangle.ai/blogs/best-talent-intelligence-platforms-202619

Pages are listed as the models cited them.

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 Metaview'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 Metaview, 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 metaview.ai 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.