GTM AI Index
Index Vendors › MaxBounty · September 2026 Edition
1 category · Named, not ranked

MaxBounty

5Judge labels
0First choices
4Negative labels
4 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. MaxBounty was named 2 times in Affiliate, where PartnerStack led with 42%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In affiliate · 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 MaxBounty 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
Affiliate and partner managementPartner and channel0%86 of 87100%2under 10 labels · led by PartnerStack at 42%

Movement

This is the first edition on this tier, so no move can be computed for MaxBounty yet. The next is due October 1, 2026. 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 MaxBounty 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 Sonar00011
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00011
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
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
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative5 labelsNone
First choiceAlternativeMentionNegative5 labels in all, every segment counted; 0 of the 0 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.

No positive label carried a quote.

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.

“Maxbounty is one of the biggest affiliate networks that is not recommended to sign up to.” Llama 4 Maverick · Affiliate · negative prompt · hard negative
“one source explicitly says it does not recommend MaxBounty” Perplexity Sonar · Affiliate · negative prompt · hard negative

Named alongside

The products named in the same answers as MaxBounty, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MaxBounty was named but was not.
ProductSame answerTook the first choice insteadHead to head
ShareASale3 of 50Not in the top three
Adcash2 of 50Not in the top three
CJ Affiliate2 of 50Not in the top three
ClickBank2 of 50Not in the top three
Clickky2 of 50Not in the top three
Leadnetwork2 of 50Not in the top three
Nutriprofits2 of 50Not in the top three
Rakuten Advertising2 of 50Not in the top three
RedHotPie affiliate program2 of 50Not in the top three
Trafficnomads2 of 50Not 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 MaxBounty. 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 2 of the 5 answers that named MaxBounty and are not a share of its labels.

Domains cited

affiliateeducationforbeginners.com2
benguonline.com2
bloggerspassion.com2
clickbank.com2
digistore24.com2
efficient.app2
funnelish.com2
getresponse.com2
hostinger.com2
makeawebsitehub.com2

Twenty of the twenty domain citations in answers naming MaxBounty came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as MaxBounty

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

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