HR AI Index
Index Vendors › VONQ · September 2026 Edition
2 categories · Named, not ranked

VONQ

8Judge labels
1First choices
0Negative labels
6 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. VONQ was named 4 times in Job advertising and 1 other category, where JobTarget led with 21%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In job advertising · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named VONQ 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Job advertising and distributionTalent acquisition3%12 of 1090%3under 10 labels · led by JobTarget at 21%
Recruitment marketing and career sitesTalent acquisition0%67 of 810%1under 10 labels · led by Teamtailor at 16%

Movement

This is the first edition on this tier, so no move can be computed for VONQ 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 VONQ across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash01102
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX10001
MiniMax M2.500000

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 label1
Comparative1 labelNone
Budget-constrained3 labelsNone
Scale-constrained3 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative8 labels in all, every segment counted; 1 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.

“the best job posting distribution tool is VONQ (VONQ Distribute)” GLM 4.7 FlashX · Job advertising · paraphrase prompt · first choice
“Ideal for companies that want to control costs and only pay for results, with flexible budget caps and ROI tracking” Mistral Small · Job advertising · budget prompt · alternative
“VONQ – broader recruitment marketing layer” DeepSeek V4 Flash · Job advertising · scale 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 VONQ, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and VONQ was named but was not.
ProductSame answerTook the first choice insteadHead to head
Appcast6 of 82Not in the top three
Joveo6 of 80Not in the top three
Recruitics4 of 80Not in the top three
PandoLogic3 of 80Not in the top three
DE Amplify2 of 81Not in the top three
Adway2 of 80Not in the top three
Veritone Hire1 of 81Not in the top three
Avature1 of 80Not in the top three
Beamery1 of 80Not in the top three
Broadbean1 of 80Not 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 VONQ. 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 7 of the 8 answers that named VONQ and are not a share of its labels.

Names read as VONQ

What the judge wrote, as written, with how often. The vendor table decides that these count as VONQ; a claim can dispute any of them.
VONQ (VONQ Distribute) 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 VONQ'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 VONQ, 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 vonq.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.