GTM AI Index
Index Vendors › Google · September 2026 Edition
3 categories · Named, not ranked

Google

11Judge labels
0First choices
6Negative labels
7 of 12Models named it
3Categories
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. Google was named 4 times in Mobile apps and 2 other categories, where Meta Advantage+ App Campaigns led with 15%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In mobile apps · 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 Google 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Mobile appsMarketing0%38 of 1360%2under 10 labels · led by Meta Advantage+ App Campaigns at 15%
Attribution and marketing mix modelingMarketing0%108 of 124100%1under 10 labels · led by Dreamdata at 29%
Identity resolutionGTM data and infrastructure0%137 of 151100%1under 10 labels · led by Hightouch at 15%

Movement

This is the first edition on this tier, so no move can be computed for Google 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 Google across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500011
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200000
GLM 4.7 FlashX00011
MiniMax M2.500000

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
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative10 labels1not counted in share
First choiceAlternativeMentionNegative11 labels in all, every segment counted; 0 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.

“Prioritize: Self-attributing networks (SANs like Meta/Google <1-5% fraud)” Grok 4.1 Fast · Mobile apps · negative 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.

“Google, Facebook, X and similar massive platforms - Why avoid: Rated as critical risk "data aggregators"” GLM 4.7 FlashX · Identity · negative prompt · hard negative
“Google and Meta, for example, are known to attribute conversions to themselves regardless of whether they were the true driver.” Claude Haiku 4.5 · Attribution & MMM · negative prompt · soft negative

Named alongside

The products named in the same answers as Google, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google was named but was not.
ProductSame answerTook the first choice insteadHead to head
Meta Advantage+ App Campaigns5 of 110Not in the top three
Adjust4 of 110Not in the top three
AppsFlyer4 of 110Not in the top three
AppLovin3 of 110Not in the top three
Branch3 of 110Not in the top three
Kochava3 of 110Not in the top three
Singular3 of 110Not in the top three
Apple Search Ads2 of 110Not in the top three
Meta2 of 110Not in the top three
TikTok Ads2 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 Google. 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 11 answers that named Google and are not a share of its labels.

Domains cited

10web.io1
alluresecurity.com1
appmarketingplus.com1
appsflyer.com1
arfadia.com1
articlecube.com1
bitcot.com1
blog.hurree.co1
blog.shift4shop.com1
braze.com1

Ten of the ten domain citations in answers naming Google came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

Google Search is the company behind Google.
Website
google.com
Headquarters
United States
Founded
1997

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

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 Google'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 Google, 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 googleblog.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.