GTM AI Index

Index › Vendors › DemandScience · September 2026 Edition

4 categories · Named, not ranked

DemandScience

16Judge labels

0First choices

2Negative labels

9 of 12Models named it

4Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. DemandScience was named 6 times in ABM and 3 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.

Small business37 of 77

under the label threshold

Mid-market30 of 76

under the label threshold

Enterprise14 of 49

under the label threshold

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 DemandScience 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
Account-based marketing platforms	Marketing	0%	30 of 76	0%	2	under 10 labels · led by AdRoll ABM at 56%
B2B intent data providers	Sales	0%	55 of 62	50%	2	under 10 labels · led by Bombora at 35%
Retail, proximity and IoT marketing	Marketing	0%	90 of 131	0%	1	under 10 labels · led by Radar at 19%
Video advertising	Marketing	0%	79 of 121	0%	1	under 10 labels · led by StackAdapt at 24%

Movement

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

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

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

Direct6 labelsNone

Paraphrase3 labelsNone

Comparative4 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative2 labelsNone

First choiceAlternativeMentionNegative16 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.

“If you want to pair ABM advertising with content syndication and multi-channel orchestration at mid-market scale.” Kimi K2 · ABM · 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.

“Approach with caution - verify their data sources and validation processes” Mistral Small · Intent data · negative prompt · soft negative

Named alongside

The products named in the same answers as DemandScience, over the 16 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DemandScience was named but was not.

ProductSame answerTook the first choice insteadHead to head

Demandbase11 of 162Not in the top three

AdRoll ABM9 of 163Not in the top three

6sense9 of 162Not in the top three

ZoomInfo5 of 160Not in the top three

StackAdapt4 of 161Not in the top three

LinkedIn Sponsored Content3 of 162Not in the top three

Teads3 of 161Not in the top three

Bombora3 of 160Not in the top three

G2 Buyer Intent3 of 160Not in the top three

HubSpot Breeze Intelligence3 of 160Not 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 DemandScience. 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 16 answers that named DemandScience and are not a share of its labels.

Domains cited

abmatic.ai1

adroll.com1

cleverly.co1

factors.ai1

g2.com1

gartner.com1

geisheker.com1

lusha.com1

oneaway.io1

prismic.io1

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

Pages cited

abmatic.ai/blog/best-account-based-marketing-tools-20261

adroll.com/blog/best-abm-platforms-comparison1

cleverly.co/blog/account-based-marketing-tools1

factors.ai/blog/top-abm-tools1

g2.com/categories/account-based-advertising/enterprise1

gartner.com/reviews/market/account-based-marketing-platforms1

geisheker.com/most-effective-abm-platforms-b2b-enterprise-pipeline-generation1

lusha.com/blog/best-account-based-marketing-tools1

Pages are listed as the models cited them.

Names read as DemandScience

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

DemandScience (formerly Terminus) 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 DemandScience'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 DemandScience, 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 demandscience.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.