GTM AI Index
Index Vendors › Madison Logic · September 2026 Edition
3 categories · Ranked

Madison Logic

37Judge labels
0First choices
9Negative labels
11 of 12Models named it
3Categories
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 ABM for enterprise buyers
Rank 27 of 76 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 11% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In abm · 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 Madison Logic 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
Account-based marketing platformsMarketing0%27 of 7611%9under 10 labels · led by AdRoll ABM at 56%
B2B intent data providersSales0%50 of 620%1under 10 labels · led by Bombora at 35%
Native and content advertisingMarketing0%34 of 720%1under 10 labels · led by StackAdapt at 23%

Movement

This is the first edition on this tier, so no move can be computed for Madison Logic 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 Madison Logic 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 mini00202
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00101
DeepSeek V4 Flash00202
Llama 4 Maverick00101
Qwen 3.7 Flash00011
Kimi K200101
GLM 4.7 FlashX00000
MiniMax M2.500101

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
Direct5 labelsNone
Paraphrase2 labelsNone
Comparative19 labelsNone
Budget-constrained1 labelNone
Scale-constrained2 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative37 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.

“execute native ads programmatically via a B2B DSP like AdLib or Madison Logic” Gemini 3.5 Flash · Native ads · paraphrase 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.

“Madison Logic and similar high-base-cost platforms unless you're mid-market or above” Qwen 3.7 Flash · ABM · budget prompt · hard negative

Named alongside

The products named in the same answers as Madison Logic, over the 37 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Madison Logic was named but was not.
ProductSame answerTook the first choice insteadHead to head
6sense35 of 3718Not in the top three
Demandbase34 of 3718Not in the top three
AdRoll ABM29 of 371Not in the top three
Terminus22 of 371Not in the top three
ZoomInfo13 of 371Not in the top three
ZoomInfo Marketing13 of 370Not in the top three
Influ212 of 370Not in the top three
Foundry ABM11 of 371Not in the top three
Bombora10 of 371Not in the top three
Mutiny9 of 370Not 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 Madison Logic. 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 5 of the 37 answers that named Madison Logic and are not a share of its labels.

Domains cited

demandbase.com4
6sense.com3
g2.com2
gartner.com2
abmatic.ai1
adroll.com1
bombora.com1
cleverly.co1
factors.ai1
geisheker.com1

Seventeen of the seventeen domain citations in answers naming Madison Logic came from somebody else's page.

Pages cited

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 Madison Logic'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 Madison Logic, 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 madisonlogic.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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