GTM AI Index

Index › Vendors › Propensity · September 2026 Edition

2 categories · Named, not ranked

Propensity

12Judge labels

3First choices

2Negative labels

8 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

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Propensity was named 3 times in Proximity and 1 other category, where Radar led with 19%. 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-market9 of 131

under the label threshold

Enterprise88 of 101

under the label threshold

In proximity · 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 Propensity 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
Retail, proximity and IoT marketing	Marketing	4%	9 of 131	0%	2	under 10 labels · led by Radar at 19%
Account-based marketing platforms	Marketing	0%	56 of 76	0%	1	under 10 labels · led by AdRoll ABM at 56%

Movement

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

Model	First choice	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	1	1
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	1	0	1
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	1	0	1
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
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

Direct2 labels1

Paraphrase5 labels2

Comparative2 labels1not counted in share

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative2 labelsNone

First choiceAlternativeMentionNegative12 labels in all, every segment counted; 3 of the 4 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.

“the strongest fit from the results is Propensity, since it is explicitly positioned as a contact-level marketing platform for B2B growth” Perplexity Sonar · Proximity · direct prompt · first choice

“Recommendation: Propensity ... built specifically for B2B account-based marketing (ABM)” Qwen 3.7 Flash · Proximity · paraphrase prompt · first choice

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 Propensity, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Propensity was named but was not.

ProductSame answerTook the first choice insteadHead to head

6sense8 of 121Not in the top three

AdRoll ABM7 of 120Not in the top three

Demandbase7 of 120Not in the top three

HubSpot ABM5 of 122Not in the top three

Apollo.io4 of 121Not in the top three

Terminus4 of 120Not in the top three

Factors.ai3 of 121Not in the top three

ZenABM3 of 120Not in the top three

Warmly2 of 121Not in the top three

Dealfront2 of 120Not 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 Propensity. 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 3 of the 12 answers that named Propensity and are not a share of its labels.

Domains cited

g2.com2

gartner.com2

6sense.com1

abmatic.ai1

axiobench.com1

digitalapplied.com1

ecosystem.hubspot.com1

f6s.com1

knowledge.hubspot.com1

lusha.com1

Twelve of the twelve domain citations in answers naming Propensity came from somebody else's page.

Pages cited

6sense.com/blog/best-b2b-marketing-automation-platforms1

abmatic.ai/blog/best-abm-platforms-for-mid-market-b2b-20261

axiobench.com/best/proximity-marketing-software1

digitalapplied.com/blog/marketing-automation-platform-comparison-20261

ecosystem.hubspot.com/marketplace/apps/propensity1

f6s.com/software/category/proximity-marketing1

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

g2.com/categories/location-based-marketing1

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 Propensity'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 Propensity, 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 propensity.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.