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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
App store optimization tools	Marketing	39%	1 of 56	9%	57	endorsed leader
Mobile apps	Marketing	0%	28 of 117	11%	9	under 10 labels · led by Customer.io at 17%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

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

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Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	2	1	0	0	3
GPT-5.4 mini	2	0	0	0	2
Gemini 3.5 Flash	5	0	1	2	8
Perplexity Sonar	3	0	0	0	3
Grok 4.20	3	1	1	1	6
Mistral Small	2	1	0	0	3
DeepSeek V4 Flash	4	0	1	1	6
Llama 4 Maverick	0	2	2	0	4
Qwen 3.7 Flash	2	1	1	0	4
Kimi K2	4	0	0	1	5
GLM 4.7 FlashX	3	1	0	1	5
MiniMax M2.5	2	1	4	0	7
GPT-6 Luna	1	1	1	0	3
Muse Glimmer 30B	2	2	3	0	7

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

Direct36 labels16

Paraphrase34 labels16

Comparative49 labels18not counted in share

Budget-constrained21 labels1

Scale-constrained23 labels5

Negative30 labels6not counted in share

First choiceAlternativeMentionNegative193 labels in all, every segment counted; 38 of the 62 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.

“AppTweak is widely considered the most comprehensive platform... Choose AppTweak if you want the "Swiss Army Knife" approach to app growth. It is the best balance of features and usability.” GLM 4.7 FlashX · App store optimization · comparative prompt · first choice

“AppTweak: Widely considered the gold standard for dedicated ASO teams. Highly accurate, offers great ASA integration, and has robust multi-language features.” Gemini 3.5 Flash · App store optimization · scale prompt · first choice

“If you are an agency or full-time ASO manager: Use AppTweak. The accuracy of their semantic search tool and their historical data is critical” Gemini 3.5 Flash · App store optimization · comparative prompt · first choice

“Stick with well-reviewed, mature ASO platforms like AppTweak, AppFollow, or Appfigures, which offer comprehensive features and reliable data.” Mistral Small · App store optimization · negative prompt · first choice

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.

“Almost all major ASO tools (e.g., AppTweak, MobileAction, Sensor Tower, AppFigures, Astro) offer proprietary metrics... these metrics are entirely educated guesses” Gemini 3.5 Flash · App store optimization · negative prompt · soft negative

“Some like AppTweak or Adjust get flak on G2/Reddit for data inaccuracies, slow loads, high costs, or poor support, but they're not outright scams” Grok 4.20 · App store optimization · negative prompt · soft negative

“Trade-off: More expensive at scale; better suited for companies prioritizing deep intelligence over execution workflows” Kimi K2 · App store optimization · paraphrase prompt · soft negative

“Data inaccuracies in analytics, limited insights on lower tiers, high pricing, steep learning curve” DeepSeek V4 Flash · Mobile apps · negative prompt · soft negative

Named alongside

The products named in the same answers as AppTweak, over the 193 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.

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ProductSame answerTook the first choice insteadHead to head

Sensor Tower144 of 19335Compare →

AppFollow106 of 19312Compare →

App Radar98 of 19311Compare →

MobileAction72 of 1934Compare →

Appfigures67 of 19314Compare →

data.ai37 of 1934Not among the top eight

SplitMetrics Optimize26 of 1930Not among the top eight

Adjust24 of 1932Not among the top eight

ASOdesk23 of 1931Not among the top eight

AppsFlyer19 of 1933Not 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 AppTweak. 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 190 of the 193 answers that named AppTweak and are not a share of its labels.

Domains cited

appfollow.io116

appradar.com96

apptweak.comYour site86

g2.com86

appdrift.co73

trysonar.app71

webseotrends.com71

guideflow.com69

theapplaunchpad.com63

asomobile.net54

699 of the 785 domain citations in answers naming AppTweak came from somebody else's page.

Pages cited

appfollow.io/blog/aso-tools96

appradar.com/academy/aso-tools86

webseotrends.com/blog/best-aso-tools71

appdrift.co/blog/15-best-app-store-optimization-tools69

guideflow.com/blog/best-aso-tools59

trysonar.app/blog/best-aso-tools57

asomobile.net/en/blog/best-aso-tools-2026-platform-comparison-pricing-and-features47

theapplaunchpad.com/blog/best-app-store-optimization-tool45

Pages are listed as the models cited them.

Search and answers

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

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In search

Google, US estimates

Position for “app store optimization tool”

Position for “best app store optimization tool”

–

not in the top ten

Searches for its name, Google: 1,600 a month (“apptweak”)
AI search demand for its name, est.: 29 a month
Organic visits to its site: about 9,585 a month
Searches its site ranks for: 2,062 · 121 in the top three
Sites linking to it: 2,580
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

28 ads · 27 text, 1 video · 7 shown in the last 30 days

First shown October 2024, as AppTweak SA, verified. Ads started 2025-10 to 2026-09: 8 in the year, 20 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

39%

rank 1 of 56 in app store optimization

First choices

across its categories

Named in: 193 answers
Its own site cited: in 190 of the answers that named it

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.

What it publishes

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Addresses on apptweak.com

2,454

subdomains included

Content

130

counted in the table below

Documentation

366

Product · Integration

0 · 0

Kind	Pages	Last 90 days	Latest	Categories named
Report or ebook	54	2	2026-07-13
Case study	38	1	2026-07-06
Comparison	21	0	2025-12-18	SEO
Conference or event	7	undated
Glossary or explainer	4	0	2026-01-01
Template or tool	2	0	2026-04-11
Podcast or video	2	undated
Webinar or virtual event	1	0	2025-10-03
News or press	1	0	2025-02-19

Most recent

2026-07-13Aso trends benchmarks a comprehensive data study report or ebook
2026-07-07The most visible movie and tv streaming apps in chatgpt report or ebook
2026-07-06Prizepicks case study
2026-06-30King aso apple ads case study
2026-06-21The most downloaded finance apps in germany report or ebook
2026-06-19The most visible food delivery apps in chatgpt report or ebook

How it is countedHide how it is counted

Every page apptweak.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Names read as AppTweak

What the judge wrote, as written, with how often. The vendor table decides that these count as AppTweak; a claim can dispute any of them.

AppTweak Scale 1

Follow AppTweak

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.

The company

AppTweak is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: App Store Marketing & Intelligence Platform
apptweak.com
For: The ASO and Apple Ads platform 2000+ mobile leaders already trust
apptweak.com
Price stated: $ 79 / 月々 apptweak.com/ja/pricing
Starting price: 79 apptweak.com/ja/pricing
Free plan or trial: Start free trial apptweak.com
Certifications: ISO 27001 certifiedGDPR compliantPCI DSS compliantISO 27001認証取得GDPR準拠PCI DSS準拠SSO
Customers named: SoundCloudBinanceThe North FaceKingWixThe EconomistDeezeri-Visa
Not stated on the pages read: Integrations, hosting

What AppTweak's own pages state, read September 28, 2026: apptweak.com, apptweak.com/ja/pricing, apptweak.com/en/case-studies, apptweak.com/en/about/partners. A claimed page can correct any of 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.

What a new claim receivesHide what a new claim receives

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

where AppTweak 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 AppTweak, 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.

Badges

Wins only: a badge exists where AppTweak is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.

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AI models recommend AppTweak first in App store optimization tools this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges

Show the code

<a href="https://gtm-ai-index.com/marketing/app-store-optimization/"><img src="https://gtm-ai-index.com/badges/2026-10/apptweak--app-store-optimization-wide.svg" alt="AI models' first choice in App store optimization tools, October 2026 Edition, GTM AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the App store optimization tools standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides

Show the code

<a href="https://gtm-ai-index.com/marketing/app-store-optimization/"><img src="https://gtm-ai-index.com/badges/2026-10/apptweak--app-store-optimization-square.svg" alt="AI models' first choice in App store optimization tools, October 2026 Edition, GTM AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the App store optimization tools standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer

Show the code

<a href="https://gtm-ai-index.com/marketing/app-store-optimization/"><img src="https://gtm-ai-index.com/badges/2026-10/apptweak--app-store-optimization-compact.svg" alt="AI models' first choice in App store optimization tools, October 2026 Edition, GTM AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the App store optimization tools standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.