GTM AI Index
Index Vendors › Twitter (X) Ads · September 2026 Edition
2 categories · Named, not ranked

Twitter (X) Ads

2Judge labels
0First choices
0Negative labels
2 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Twitter (X) Ads was named 2 times in Paid ads and 1 other category, where Google Ads led with 10%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In paid ads · 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 Twitter (X) Ads 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
Search and social advertising platformsMarketing0%106 of 1370%1under 10 labels · led by Google Ads at 10%
Video advertisingMarketing0%95 of 1210%1under 10 labels · led by StackAdapt at 24%

Movement

This is the first edition on this tier, so no move can be computed for Twitter (X) Ads 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 Twitter (X) Ads across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
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
Paraphrase0 labelsNone
Comparative1 labelNone
Budget-constrained1 labelNone
Scale-constrained0 labelsNone
Negative0 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.

No model argued against it.

Named alongside

The products named in the same answers as Twitter (X) Ads, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Twitter (X) Ads was named but was not.
ProductSame answerTook the first choice insteadHead to head
YouTube Ads2 of 21Not in the top three
LinkedIn Campaign Manager2 of 20Not in the top three
Reddit Ads2 of 20Not in the top three
TikTok Ads2 of 20Not in the top three
AdMaven1 of 20Not in the top three
Adwave1 of 20Not in the top three
Amazon Ads1 of 20Not in the top three
Google Ads1 of 20Not in the top three
Gumlet1 of 20Not in the top three
Loom1 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.

What carried it into the answer

The sites and pages cited by the answers that named Twitter (X) Ads. 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 2 answers that named Twitter (X) Ads and are not a share of its labels.

Domains cited

adventuremedia.ai1
cbinsights.com1
clicksgeek.com1
dataally.ai1
digitaladvertisinghub.net1
digivizer.com1
g2.com1
get-ryze.ai1
groas.ai1
groas.com1

Ten of the ten domain citations in answers naming Twitter (X) Ads came from somebody else's page.

Pages cited

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 Twitter (X) Ads'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 Twitter (X) Ads, 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 twitter.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.

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