GTM AI Index

Index › Vendors › Vendasta · September 2026 Edition

2 categories · Named, not ranked

Vendasta

6Judge labels

0First choices

1Negative labels

5 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

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Vendasta was named 5 times in Reviews and 1 other category, where Birdeye led with 26%. 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-market40 of 103

under the label threshold

Enterprisenot named

No model named it for this buyer.

In reviews · 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 Vendasta 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
Review and reputation management	Marketing	0%	40 of 103	0%	4	under 10 labels · led by Birdeye at 26%
Content marketing platforms	Marketing	0%	132 of 159	100%	1	under 10 labels · led by HubSpot Content Hub at 30%

Movement

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

Model	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	1	1	2
Llama 4 Maverick	1	0	1
Qwen 3.7 Flash	1	0	1
Kimi K2	1	0	1
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

Direct0 labelsNone

Paraphrase1 labelNone

Comparative4 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

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.

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.

“Strong "scam" complaints on Capterra; worth deep due diligence.” DeepSeek V4 Flash · Content marketing · negative prompt · soft negative

Named alongside

The products named in the same answers as Vendasta, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Vendasta was named but was not.

ProductSame answerTook the first choice insteadHead to head

Birdeye4 of 63Not in the top three

Podium4 of 61Not in the top three

BrightLocal4 of 60Not in the top three

GatherUp4 of 60Not in the top three

Grade.us4 of 60Not in the top three

NiceJob4 of 60Not in the top three

Reputation4 of 60Not in the top three

ReviewGrower4 of 60Not in the top three

SOCi4 of 60Not in the top three

ReviewTrackers3 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 Vendasta. 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 6 answers that named Vendasta and are not a share of its labels.

Domains cited

g2.com1

vendasta.comYour site1

One of the two domain citations in answers naming Vendasta came from somebody else's page.

Pages cited

g2.com/products/foursquare-attribution/reviews1

vendasta.com/products/adcellerant-geofencing1

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 Vendasta'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 Vendasta, 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 vendasta.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.