GTM AI Index
Index Vendors › Tofu · September 2026 Edition
3 categories · Named, not ranked

Tofu

6Judge labels
0First choices
1Negative labels
5 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.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Tofu was named 3 times in ABM and 2 other categories, where AdRoll ABM led with 56%. The labels and the evidence are below, counted exactly.
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 Tofu 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%45 of 760%1under 10 labels · led by AdRoll ABM at 56%
Content marketing platformsMarketing0%76 of 1590%1under 10 labels · led by HubSpot Content Hub at 30%
CRM data quality and deduplicationRevenue operations0%62 of 1040%1under 10 labels · led by Insycle at 34%

Movement

This is the first edition on this tier, so no move can be computed for Tofu 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 Tofu across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash01001
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
Comparative3 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative6 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.

“mid-market teams focused on content personalization benefit from Tofu” Claude Haiku 4.5 · ABM · comparative prompt · alternative
“Tofu (AI agents for cross-system reconciliation) or Syncari” Qwen 3.7 Flash · CRM data quality · negative prompt · alternative
“AI speed and personalization are non-negotiable? → Tofu” DeepSeek V4 Flash · Content marketing · 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 Tofu, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Tofu was named but was not.
ProductSame answerTook the first choice insteadHead to head
ZoomInfo5 of 60Not in the top three
6sense3 of 62Not in the top three
AdRoll ABM3 of 60Not in the top three
Userled3 of 60Not in the top three
DemandTools2 of 62Not in the top three
Demandbase2 of 62Not in the top three
Cloudingo2 of 61Not in the top three
Apollo.io2 of 60Not in the top three
Bombora2 of 60Not in the top three
Syncari2 of 60Not 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 Tofu. 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 6 answers that named Tofu and are not a share of its labels.

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 Tofu'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 Tofu, 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 tofuhq.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.