Every category where a model named Gartner 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	Since September 2026
Market intelligence platforms	GTM data and infrastructure	0%	134 of 172	40%	5	under 10 labels · led by Apollo.io at 17%

Movement

This is the first edition on this tier, so no move can be computed for Gartner yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Gartner across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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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	0	0	0
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	1	0	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	1	0	1	2
Kimi K2	0	0	1	1
GLM 4.7 FlashX	0	1	0	1
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	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 labelsNone

Paraphrase10 labels3

Comparative4 labelsNone

Budget-constrained2 labelsNone

Scale-constrained1 labelNone

Negative7 labelsNone

First choiceAlternativeMentionNegative26 labels in all, every segment counted; 3 of the 3 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.

“Top Platform: Gartner” Qwen 3.7 Flash · Market intelligence · comparative 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.

“Frequently cited as expensive with access restrictions, especially problematic for smaller companies” Kimi K2 · Market intelligence · negative prompt · soft negative

“subscription costs are astronomical ($10k+ per seat/year), making them prohibitive for SMBs” Qwen 3.7 Flash · Market intelligence · negative prompt · soft negative

Named alongside

The products named in the same answers as Gartner, over the 26 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Gartner was named but was not.

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ProductSame answerTook the first choice insteadHead to head

CB Insights15 of 261Not among the top eight

ZoomInfo14 of 266Not among the top eight

AlphaSense12 of 265Not among the top eight

Forrester12 of 260Not among the top eight

Klue10 of 260Not among the top eight

IDC8 of 260Not among the top eight

Crayon7 of 260Not among the top eight

Similarweb7 of 260Not among the top eight

Apollo.io6 of 261Not among the top eight

6sense6 of 260Not among the top eight

A head-to-head page exists where both products are among a category's top eight. 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 Gartner. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 21 of the 26 answers that named Gartner and are not a share of its labels.

Domains cited

pipeline.zoominfo.com13

alpha-sense.com8

demandbase.com8

gartner.com7

cleverx.com5

gitnux.org5

userintuition.ai5

worldmetrics.org5

cbinsights.com4

checkthat.ai4

No domain is on file for Gartner, so its own site is not marked.

Pages cited

pipeline.zoominfo.com/sales/market-intelligence-tools7

cleverx.com/blog/best-b2b-market-research-tools-compared-in-20265

demandbase.com/blog/b2b-data-vendors4

demandbase.com/blog/market-intelligence-tools4

pipeline.zoominfo.com/sales/company-research-tools4

userintuition.ai/posts/best-competitive-intelligence-platforms4

alpha-sense.com/blog/product/competitive-intelligence-tools3

alpha-sense.com/solutions/market-intelligence-platform3

Pages are listed as the models cited them.

Search and answers

Where Gartner stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 49,500 a month (“gartner”)
AI search demand for its name, est.: 3,915 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 134 of 172 in market intelligence

Segment leader

17%

Apollo.io

First choices: 3 across its categories
Named in: 26 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Gartner

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

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 Gartner'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 Gartner, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Gartner by email, built from the raw record of the edition. It shows:

where Gartner is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Gartner, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.