GTM AI Index

Index › Vendors › Userled · September 2026 Edition

2 categories · Named, not ranked

Userled

11Judge labels

1First choices

1Negative labels

7 of 12Models named it

2Categories

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. Userled was named 4 times in ABM and 1 other category, 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 business13 of 77

under the label threshold

Mid-market33 of 76

under the label threshold

Enterprise38 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 Userled 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%	33 of 76	0%	3	under 10 labels · led by AdRoll ABM at 56%
Experimentation and personalization	Marketing	0%	39 of 69	0%	1	under 10 labels · led by VWO at 34%

Movement

This is the first edition on this tier, so no move can be computed for Userled 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 Userled 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	1	1
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	1	0	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	1	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	1	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

Direct2 labelsNone

Paraphrase1 labelNone

Comparative4 labelsNone

Budget-constrained1 labelNone

Scale-constrained2 labels1

Negative1 labelNone

First choiceAlternativeMentionNegative11 labels in all, every segment counted; 1 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.

“a platform like Abmatic AI or Userled is the ideal choice” Gemini 3.5 Flash · Experimentation · 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.

No model argued against it.

Named alongside

The products named in the same answers as Userled, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Userled was named but was not.

ProductSame answerTook the first choice insteadHead to head

6sense10 of 112Not in the top three

Demandbase8 of 113Not in the top three

AdRoll ABM7 of 113Not in the top three

ZoomInfo6 of 110Not in the top three

HubSpot ABM4 of 111Not in the top three

Bombora4 of 110Not in the top three

Factors.ai4 of 110Not in the top three

Mutiny4 of 110Not in the top three

Terminus4 of 110Not in the top three

Abmatic AI3 of 110Not 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 Userled. 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 6 of the 11 answers that named Userled and are not a share of its labels.

Domains cited

gartner.com6

demandbase.com5

guideflow.com4

pipeline.zoominfo.com4

tofuhq.com4

abmatic.ai3

scrappyabm.com3

thecmo.com3

factors.ai2

hginsights.com2

Thirty-six of the thirty-six domain citations in answers naming Userled came from somebody else's page.

Pages cited

gartner.com/reviews/market/account-based-marketing-platforms6

demandbase.com/blog/account-based-marketing-solutions5

guideflow.com/blog/best-account-based-marketing-software-tools4

pipeline.zoominfo.com/marketing/top-account-based-marketing-platforms4

tofuhq.com/post/the-10-best-account-based-marketing-tools-of-20264

scrappyabm.com/blog/best-account-based-marketing-platforms3

thecmo.com/tools/best-account-based-marketing-software3

abmatic.ai/blog/best-abm-tools-for-small-teams2

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 Userled'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 Userled, 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 userled.io 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.