GTM AI Index

Index › Vendors › InfoSum · September 2026 Edition

1 category · Named, not ranked

InfoSum

13Judge labels

0First choices

1Negative 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.

Standing

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. InfoSum was named 4 times in Identity, where Hightouch led with 15%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market29 of 151

under the label threshold

Enterprise30 of 137

under the label threshold

In identity · 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 InfoSum 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
Identity resolution	GTM data and infrastructure	0%	29 of 151	0%	4	under 10 labels · led by Hightouch at 15%

Movement

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

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

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

Direct1 labelNone

Paraphrase1 labelNone

Comparative10 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative13 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.

“Choose a Clean Room (InfoSum/Habu) if privacy-safe data collaboration with partners is your priority” Qwen 3.7 Flash · Identity · comparative prompt · alternative

“In the WPP ecosystem or need zero data movement? → InfoSum” DeepSeek V4 Flash · Identity · comparative 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 InfoSum, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and InfoSum was named but was not.

ProductSame answerTook the first choice insteadHead to head

LiveRamp13 of 1310Not in the top three

Acxiom11 of 130Not in the top three

Amperity10 of 131Not in the top three

FullContact10 of 130Not in the top three

Tealium8 of 130Not in the top three

Epsilon7 of 130Not in the top three

Experian7 of 130Not in the top three

Hightouch7 of 130Not in the top three

TransUnion7 of 130Not in the top three

Segment6 of 130Not 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 InfoSum. 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 1 of the 13 answers that named InfoSum and are not a share of its labels.

Domains cited

acxiom.com1

checkthat.ai1

customerlabs.com1

cybersecuritynews.com1

devopsschool.com1

expertinsights.com1

f6s.com1

g2.com1

gitnux.org1

guideflow.com1

Ten of the ten domain citations in answers naming InfoSum came from somebody else's page.

Pages cited

acxiom.com/wp-content/uploads/2023/06/2023_MarTech_Enterprise_Identity_Resolution%E2%80%931

checkthat.ai/answers/what-are-the-best-identity-resolution-tools1

customerlabs.com/blog/best-identity-resolution-software-tools1

cybersecuritynews.com/best-identity-threat-detection-and-response-solutions1

cybersecuritynews.com/identity-management-solutions1

devopsschool.com/blog/top-10-identity-resolution-platforms-features-pros-cons-comparison1

expertinsights.com/identity-and-access-management/the-top-identity-threat-detection-and-re1

f6s.com/software/category/identity-resolution1

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 InfoSum'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 InfoSum, 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 infosum.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.