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Index › Products › App Annie · October 2026 Edition
2 categories · Named, not ranked

App Annie

13Judge labels
1First choices
5Negative labels
8 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. App Annie was named 6 times in App store optimization and 1 other category, where AppTweak led with 39%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In app store optimization · 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 App Annie 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 rateLabelsQuadrantSince September 2026
App store optimization toolsMarketing2%15 of 5620%5under 10 labels · led by AppTweak at 39%
Mobile appsMarketing0%57 of 1170%1under 10 labels · led by Customer.io at 17%newNew since September 2026: not ranked then, 0% now.

Movement

This is the first edition on this tier, so no move can be computed for App Annie 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 Annie across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.510102
GPT-6 Luna00000
Muse Glimmer 30B00101

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
Direct1 labelNone
Paraphrase1 label1
Comparative0 labelsNone
Budget-constrained1 labelNone
Scale-constrained4 labelsNone
Negative6 labelsNone
First choiceAlternativeMentionNegative13 labels in all, every segment counted; 1 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.

“Start with a free trial of App Annie or TheTool to test which fits your workflow better.” MiniMax M2.5 · App store optimization · paraphrase prompt · first choice
“supplement with free ASO tools like App Annie or Mobile Action” Kimi K2 · Mobile apps · budget 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.

“Many ASO "intelligence" tools (like App Annie, Sensor Tower, Apptopia) provide *modeled estimates*... Estimates can be off by 50-200%” DeepSeek V4 Flash · App store optimization · negative prompt · soft negative

Named alongside

The products named in the same answers as App Annie, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and App Annie was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Sensor Tower12 of 132Not among the top eight
AppTweak7 of 131Not among the top eight
MobileAction6 of 130Not among the top eight
App Radar4 of 132Not among the top eight
ASOdesk3 of 130Not among the top eight
AppFollow3 of 130Not among the top eight
data.ai3 of 130Not among the top eight
App Store Connect2 of 130Not among the top eight
Google Play Console2 of 130Not among the top eight
StoreMaven2 of 130Not 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 Annie. 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 10 of the 13 answers that named App Annie and are not a share of its labels.

Domains cited

appradar.com8
appfollow.io6
devopsschool.com4
g2.com4
appdrift.co3
clickup.com3
guideflow.com3
theapplaunchpad.com3
wix.com3
anything.com2

No domain is on file for App Annie, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

Names read as App Annie

What the judge wrote, as written, with how often. The vendor table decides that these count as App Annie; a claim can dispute any of them.
App Annie (data.ai) 1App Annie (now data.ai) 1

Follow App Annie

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.

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 Annie'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 Annie, 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 Annie by email, built from the raw record of the edition. It shows:

  • where App Annie 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 Annie, 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.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.