Every category where a model named data.ai 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	2%	10 of 56	14%	7	under 10 labels · led by AppTweak at 39%
Market intelligence platforms	GTM data and infrastructure	0%	80 of 172	0%	2	under 10 labels · led by Apollo.io at 17%
Mobile apps	Marketing	0%	79 of 117	0%	2	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 data.ai 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 data.ai 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	0	1	0	1
GPT-5.4 mini	0	1	0	0	1
Gemini 3.5 Flash	0	0	0	0	0
Perplexity Sonar	0	0	0	0	0
Grok 4.20	0	1	0	0	1
Mistral Small	0	0	0	0	0
DeepSeek V4 Flash	0	0	0	0	0
Llama 4 Maverick	0	0	0	0	0
Qwen 3.7 Flash	1	0	3	0	4
Kimi K2	0	0	0	1	1
GLM 4.7 FlashX	0	0	0	0	0
MiniMax M2.5	0	0	0	0	0
GPT-6 Luna	0	0	0	0	0
Muse Glimmer 30B	0	1	2	0	3

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

Direct12 labels2

Paraphrase7 labels1

Comparative11 labels1not counted in share

Budget-constrained9 labels4

Scale-constrained8 labels1

Negative10 labels1not counted in share

First choiceAlternativeMentionNegative57 labels in all, every segment counted; 8 of the 10 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.

“Data.ai / SensorTower: Best for massive market intelligence and deep competitor benchmarking.” Qwen 3.7 Flash · App store optimization · scale prompt · first choice

“data.ai/App Annie pricing is custom enterprise typically $2K+/month” Muse Glimmer 30B · App store optimization · scale prompt · alternative

“consider Sensor Tower or data.ai after a trial/demo” GPT-5.4 mini · App store optimization · paraphrase prompt · alternative

“data.ai (enterprise analytics)” Grok 4.20 · App store optimization · scale 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.

“Acquired by Sensor Tower; same enterprise pricing and complexity issues” Kimi K2 · App store optimization · direct prompt · hard negative

Named alongside

The products named in the same answers as data.ai, over the 57 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and data.ai was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Sensor Tower51 of 5717Not among the top eight

AppTweak37 of 577Not among the top eight

AppFollow31 of 576Not among the top eight

Appfigures16 of 573Not among the top eight

MobileAction15 of 571Not among the top eight

App Radar13 of 572Not among the top eight

Mobile Action10 of 572Not among the top eight

SplitMetrics Optimize7 of 570Not among the top eight

ASOdesk6 of 570Not among the top eight

Gummicube5 of 570Not 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 data.ai. 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 50 of the 57 answers that named data.ai and are not a share of its labels.

Domains cited

appfollow.io32

appradar.com26

g2.com26

webseotrends.com26

guideflow.com24

trysonar.app17

apptweak.com16

appdrift.co15

theapplaunchpad.com15

asomobile.net12

No domain is on file for data.ai, so its own site is not marked.

Pages cited

appfollow.io/blog/aso-tools27

appradar.com/academy/aso-tools26

webseotrends.com/blog/best-aso-tools26

guideflow.com/blog/best-aso-tools21

g2.com/categories/app-store-optimization/enterprise16

appdrift.co/blog/15-best-app-store-optimization-tools15

theapplaunchpad.com/blog/best-app-store-optimization-tool14

trysonar.app/blog/best-aso-tools14

Pages are listed as the models cited them.

Search and answers

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

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In search

Google, US estimates

Searches for its name, Google: 1,600 a month (“data.ai”)
AI search demand for its name, est.: 11 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 10 of 56 in app store optimization

Segment leader

39%

AppTweak

First choices: 8 across its categories
Named in: 57 answers
Its own site cited: No site on file to match

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.

Names read as data.ai

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

Data.ai 2Data.ai (formerly App Annie) 2data.ai (App Annie) 1

Follow data.ai

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

where data.ai 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 data.ai, 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.