GTM AI Index
Index › Vendors › TUNE · September 2026 Edition
1 category · Ranked

TUNE

19Judge labels
0First choices
4Negative labels
9 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.
Best standing
0% in Affiliate for enterprise buyers
Rank 52 of 87 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 33% of its 3 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business56 of 109
0%1 label
under the label threshold
Mid-market52 of 87
0%3 labels
under the label threshold
Enterprise10 of 69
0%13 labels
accepted challenger
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 TUNE 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%52 of 8733%3under 10 labels · led by PartnerStack at 42%

Movement

This is the first edition on this tier, so no move can be computed for TUNE 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 TUNE 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 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
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
Direct2 labelsNone
Paraphrase4 labelsNone
Comparative5 labels1not counted in share
Budget-constrained2 labelsNone
Scale-constrained5 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative19 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.

“better if you need deep customization, strong tracking control” GPT-5.4 mini · Affiliate · direct 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.

“Avoid expensive enterprise platforms (Impact, TUNE, PartnerStack)” DeepSeek V4 Flash · Affiliate · budget prompt · soft negative

Named alongside

The products named in the same answers as TUNE, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and TUNE was named but was not.
ProductSame answerTook the first choice insteadHead to head
PartnerStack17 of 194Not in the top three
impact.com16 of 1911Not in the top three
Everflow11 of 191Not in the top three
Post Affiliate Pro5 of 190Not in the top three
Tapfiliate4 of 192Not in the top three
CAKE4 of 190Not in the top three
Refersion4 of 190Not in the top three
Affise3 of 190Not in the top three
Partnerize3 of 190Not in the top three
Rewardful3 of 190Not 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 TUNE. 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 4 of the 19 answers that named TUNE and are not a share of its labels.

Domains cited

everflow.io2
getreditus.com2
linkjolt.io2
modash.io2
tune.comYour site2
catstats.ai1
cbinsights.com1
comparisons.financesonline.com1
funnelish.com1
g2.com1

Thirteen of the fifteen domain citations in answers naming TUNE came from somebody else's page.

Pages cited

tune.com/2
catstats.ai/blog/affiliate-tracking-platform-comparison1
cbinsights.com/compare/affise-vs-everflow-11
comparisons.financesonline.com/everflow-vs-tune1
everflow.io/compare/tune1
everflow.io/faq1
funnelish.com/blog/best-affiliate-marketing-platforms1
g2.com/products/everflow/competitors/alternatives1

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 TUNE'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 TUNE, 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 tune.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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