GTM AI Index

Index › Vendors › Gravy Analytics / Venntel · September 2026 Edition

1 category · Named, not ranked

Gravy Analytics / Venntel

2Judge labels

0First choices

2Negative labels

2 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

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Gravy Analytics / Venntel was named 2 times in Proximity, 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-market129 of 131

under the label threshold

Enterprisenot named

No model named it for this buyer.

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 Gravy Analytics / Venntel 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	0%	129 of 131	100%	2	under 10 labels · led by Radar at 19%

Movement

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

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative2 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.

No positive label carried a quote.

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.

“(2025: prohibited from sensitive location sales, e.g., near health facilities or worship sites)” Grok 4.1 Fast · Proximity · negative prompt · hard negative

“Prohibited from selling, disclosing, or using sensitive location data.” DeepSeek V4 Flash · Proximity · negative prompt · hard negative

Named alongside

The products named in the same answers as Gravy Analytics / Venntel, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Gravy Analytics / Venntel was named but was not.

ProductSame answerTook the first choice insteadHead to head

Foursquare2 of 21Not in the top three

Kontakt.io2 of 21Not in the top three

Bluedot2 of 20Not in the top three

Gimbal2 of 20Not in the top three

PlotProjects2 of 20Not in the top three

Radar2 of 20Not in the top three

Beacon Platform Inc.1 of 20Not in the top three

Beacons.ai1 of 20Not in the top three

Estimote1 of 20Not in the top three

InMarket1 of 20Not 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.

Names read as Gravy Analytics / Venntel

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

Gravy Analytics/Venntel 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 Gravy Analytics / Venntel'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 Gravy Analytics / Venntel, 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 gravy.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.