GTM AI Index
Index › Vendors › AppTweak · September 2026 Edition
1 category · Ranked

AppTweak

15Judge labels
0First choices
4Negative labels
6 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.
Best standing
0% in Mobile apps for small business buyers
Rank 23 of 136 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 5 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business58 of 139
0%10 labels
criticized challenger
Mid-market23 of 136
0%5 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
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 AppTweak 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%23 of 1360%5under 10 labels · led by Meta Advantage+ App Campaigns at 15%

Movement

This is the first edition on this tier, so no move can be computed for AppTweak 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 AppTweak across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash01102
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
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
Direct2 labelsNone
Paraphrase0 labelsNone
Comparative8 labelsNone
Budget-constrained2 labelsNone
Scale-constrained2 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative15 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.

“Best for: Mid-market apps needing ASO optimization” Mistral Small · Mobile apps · comparative prompt · alternative
“The tactical ASO search and keyword tool.” Gemini 3.5 Flash · Mobile apps · comparative prompt · alternative
“For ASO: AppTweak or Sensor Tower” GLM 4.7 FlashX · Mobile apps · comparative prompt · alternative
“AppTweak for growing teams” DeepSeek V4 Flash · Mobile apps · 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.

No model argued against it.

Named alongside

The products named in the same answers as AppTweak, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and AppTweak was named but was not.
ProductSame answerTook the first choice insteadHead to head
AppsFlyer13 of 155Not in the top three
OneSignal13 of 154Not in the top three
Braze12 of 151Not in the top three
Adjust11 of 151Not in the top three
Branch11 of 151Not in the top three
CleverTap11 of 150Not in the top three
Sensor Tower11 of 150Not in the top three
App Radar8 of 154Not in the top three
Singular7 of 150Not in the top three
Appfigures6 of 151Not 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 AppTweak. 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 15 answers that named AppTweak and are not a share of its labels.

Domains cited

adlibrary.com1
apsteq.com1
capterra.com1
dash.app1
didoo.ai1
f6s.com1
findmarketingtools.com1
gartner.com1
gitnux.org1
guideflow.com1

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

Pages cited

adlibrary.com/posts/best-mobile-advertising-apps1
apsteq.com/blog/app-marketing-tools1
capterra.com/mobile-marketing-software/s/small-businesses1
dash.app/blog/top-marketing-apps-small-business1
didoo.ai/blog/15-best-mkt-apps-for-global-smes-affordable-growth-engines1
f6s.com/software/category/mobile-app-marketing1
findmarketingtools.com/app-marketing1
gartner.com/reviews/market/mobile-marketing-platforms1

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 AppTweak'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 AppTweak, 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 apptweak.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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