Every category where a model named App Radar 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	7%	4 of 56	6%	47	accepted challenger
Mobile apps	Marketing	0%	32 of 117	0%	5	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 App Radar 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 App Radar 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	0	1	0	0	1
GPT-5.4 mini	0	2	0	0	2
Gemini 3.5 Flash	0	5	0	0	5
Perplexity Sonar	0	2	0	1	3
Grok 4.20	0	4	1	0	5
Mistral Small	0	2	0	0	2
DeepSeek V4 Flash	1	2	3	2	8
Llama 4 Maverick	0	1	1	0	2
Qwen 3.7 Flash	1	2	1	0	4
Kimi K2	3	1	0	0	4
GLM 4.7 FlashX	0	3	3	0	6
MiniMax M2.5	1	2	1	0	4
GPT-6 Luna	0	1	0	0	1
Muse Glimmer 30B	0	4	1	0	5

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

Direct23 labels5

Paraphrase21 labels4

Comparative34 labels6not counted in share

Budget-constrained22 labelsNone

Scale-constrained10 labels2

Negative14 labels6not counted in share

First choiceAlternativeMentionNegative124 labels in all, every segment counted; 11 of the 23 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.

“Reputable options include: AppTweak, App Radar, ASODesk, and AppFollow” Kimi K2 · App store optimization · negative prompt · first choice

“points to AppTweak and AppRadar as the leading choices” Qwen 3.7 Flash · App store optimization · direct prompt · first choice

“suggested: AppTweak, App Radar, or Sensor Tower for enterprise” Kimi K2 · App store optimization · scale prompt · first choice

“I'd suggest starting with AppRadar or AppTweak” MiniMax M2.5 · App store optimization · direct 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.

“starts at €69/month (~$75) ... Better if you have a slightly larger budget.” DeepSeek V4 Flash · App store optimization · budget prompt · soft negative

“the results do not position it as strongly for mid-market B2B as AppTweak” Perplexity Sonar · App store optimization · direct prompt · soft negative

“Lacks the deep market intelligence B2B needs” DeepSeek V4 Flash · App store optimization · direct prompt · soft negative

Named alongside

The products named in the same answers as App Radar, over the 124 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and App Radar was named but was not.

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ProductSame answerTook the first choice insteadHead to head

AppTweak98 of 12434Compare →

Sensor Tower83 of 12414Compare →

AppFollow72 of 1246Compare →

Appfigures60 of 12414Compare →

MobileAction48 of 1241Compare →

Sonar25 of 1242Compare →

ASOdesk19 of 1240Not among the top eight

ASOMobile18 of 1244Compare →

SplitMetrics Optimize17 of 1240Not among the top eight

ASOTools16 of 1244Not 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 App Radar. 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 124 of the 124 answers that named App Radar and are not a share of its labels.

Domains cited

appfollow.io80

appradar.comYour site79

trysonar.app59

webseotrends.com57

g2.com56

appdrift.co53

theapplaunchpad.com50

guideflow.com47

asomobile.net46

apptweak.com43

491 of the 570 domain citations in answers naming App Radar came from somebody else's page.

Pages cited

appradar.com/academy/aso-tools72

appfollow.io/blog/aso-tools70

webseotrends.com/blog/best-aso-tools57

appdrift.co/blog/15-best-app-store-optimization-tools52

trysonar.app/blog/best-aso-tools47

guideflow.com/blog/best-aso-tools40

asomobile.net/en/blog/best-aso-tools-2026-platform-comparison-pricing-and-features38

theapplaunchpad.com/blog/best-app-store-optimization-tool36

Pages are listed as the models cited them.

Search and answers

appradar.com ranks first on Google for the category's searches. In the answers, App Radar takes 7% of first choices and AppTweak takes 39%.

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In search

Google, US estimates

Position for “app store optimization tool”

Position for “best app store optimization tool”

Searches for its name, Google: 480 a month (“app radar”)
AI search demand for its name, est.: 2,749 a month
Organic visits to its site: about 6,241 a month
Searches its site ranks for: 1,864 · 119 in the top three
Sites linking to it: 2,806
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

9 ads · 7 text, 2 image · 9 shown in the last 30 days

First shown November 2024, as SplitMetrics, verified. Ads started 2025-11 to 2026-10: 1 in the year, 8 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 4 of 56 in app store optimization

Segment leader

39%

AppTweak

First choices: 11 across its categories
Named in: 124 answers
Its own site cited: in 124 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 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 appradar.com

391

subdomains included

Content

230

counted in the table below

Documentation

Product · Integration

0 · 0

Kind	Pages	Last 90 days	Latest	Categories named
Blog	139	5	2026-08-27	Mobile apps
Glossary or explainer	68	0	2026-04-28	SEO
Case study	12	undated
Comparison	6	undated		SEO
Conference or event	2	undated
Webinar or virtual event	1	undated
Report or ebook	1	undated
Template or tool	1	0	2026-03-17

Most recent

2026-08-27Top finance apps app store blog
2026-08-20Top grossing apps app store blog
2026-08-14Most downloaded apps in google play blog
2026-07-24Android app screenshot sizes and guidelines for google play blog
2026-07-21How to launch mobile app blog
2026-04-28App store ranking factors glossary or explainer

How it is countedHide how it is counted

Every page appradar.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 App Radar

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

AppRadar 9App Radar (by SplitMetrics) 2App Radar/SplitMetrics 1SplitMetrics / App Radar 1

Follow App Radar

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

App Radar is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: App Store Optimization Tool | #1 Platform for ASO
appradar.com
For: growing businesses
appradar.com
Price stated: App Radar Essentials Pack monthly subscription 89 EUR; App Radar Growth Pack monthly subscription 249 EUR; App Radar Scale Pack monthly subscription 449 EUR appradar.com
Starting price: 89 appradar.com
Free plan or trial: 7-day free trial appradar.com
Certifications: ASO & ASA Academy with Certificates
Customers named: TellmewowOld Street CommunicationsKolibri GamesIronhide Game StudioCocologicsCashews FinanceHappy GamesSuper RTL
Not stated on the pages read: Integrations, hosting

What App Radar's own pages state, read October 5, 2026: appradar.com, appradar.com/pricing, appradar.com/case-studies. 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 App Radar'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 App Radar, 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 App Radar by email, built from the raw record of the edition. It shows:

where App Radar 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 App Radar, 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.