Index › Products › Applytics · October 2026 Edition

1 category · Named, not ranked

Applytics

5Judge labels

1First choices

0Negative labels

3 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Applytics was named 3 times in App store optimization, where AppTweak led with 39%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business44 of 63

under the label threshold

Mid-market11 of 56

under the label threshold

Enterprise14 of 40

under the label threshold

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 Applytics 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%	11 of 56	0%	3	under 10 labels · led by AppTweak at 39%

Movement

This is the first edition on this tier, so no move can be computed for Applytics 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 Applytics 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	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	1	1
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	1	0	1
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	1	1

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

Direct5 labels1

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative5 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.

“1. Applytics - A comprehensive ASO tool designed to help app developers and marketers improve their app's visibility and performance on app stores.” Llama 4 Maverick · App store optimization · direct prompt · first choice

“Applytics is a comprehensive ASO tool designed to help app developers and marketers improve their app's visibility” Muse Glimmer 30B · App store optimization · direct prompt · alternative

“making it a solid choice for mid-market B2B companies” Mistral Small · App store optimization · direct 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 Applytics, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Applytics was named but was not.

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ProductSame answerTook the first choice insteadHead to head

AppFollow5 of 50Not among the top eight

AppTweak3 of 51Not among the top eight

Guideflow2 of 51Not among the top eight

data.ai2 of 51Not among the top eight

App Radar2 of 50Not among the top eight

MobileAction2 of 50Not among the top eight

Sensor Tower2 of 50Not among the top eight

Appfigures1 of 50Not 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 Applytics. 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 5 of the 5 answers that named Applytics and are not a share of its labels.

Domains cited

appfollow.io5

g2.com5

guideflow.com5

worldmetrics.org3

appdrift.co2

apptweak.com2

capterra.com2

appradar.com1

businessofapps.com1

linkedin.com1

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

Pages cited

appfollow.io/blog/aso-tools5

g2.com/categories/app-store-optimization5

guideflow.com/blog/best-aso-tools5

worldmetrics.org/best/app-store-optimization-software3

appdrift.co/blog/15-best-app-store-optimization-tools2

g2.com/categories/app-store-optimization/enterprise2

appradar.com/academy/aso-tools1

appradar.com/app-radar-vs-apptweak1

Pages are listed as the models cited them.

Follow Applytics

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

where Applytics 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 Applytics, 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.