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Index › GTM › Products › Appalize · November 2026 Edition

App store optimization tools · Named, not ranked

Appalize

–Too few to rank

5/14Models named it

3First choices

0Warnings

November 2026 Edition · all company sizes counted.

Ranked inApp store optimization tools #6 mid-market

What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Appalize has 4.

Why models recommend it

“Appalize is a strong recommendation due to its all-in-one approach, affordability, and scalability.”Mistral Small · Paraphrase question · first choice

“I'd recommend starting with Appalize's free tier to learn the basics”MiniMax M2.5 · Budget-constrained question · first choice

“AI-powered execution platform... Recommended in the Awesome ASO curated list”Muse Glimmer 30B · Comparative question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Appalize, over the 6 answers that named it, and how often each was the first choice instead.

Product	Named together	Picked instead
Appfigures	5	0	View →
App Radar	4	2	View →
AppTweak	3	2	View →
Sensor Tower	3	0	View →
ASOMobile	2	0	View →
ASOdesk	2	0	View →
App Store Connect	2	0	View →
AppFollow	2	0	View →
Google Play Console	2	0	View →
Gummicube	2	0	View →

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Appalize came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 6 of the 6 answers that named Appalize and are not a share of its labels.

Domains cited

github.com6

appfollow.io3

asomobile.net3

moburst.com3

softwareworld.co3

appradar.com2

bestdevops.com2

getapp.com2

reddit.com2

rplg.io2

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

Pages cited

github.com/appalize/aso-blog/blob/main/app-marketing/best-aso-tools-compared-buyers-guide.5

asomobile.net/en/blog/best-aso-tools-2026-platform-comparison-pricing-and-features3

moburst.com/blog/aso-tools3

softwareworld.co/app-store-optimization-tools-software3

appradar.com/academy/aso-tools2

bestdevops.com/top-10-app-store-optimization-aso-tools-features-pros-cons-comparison2

github.com/appalize/awesome-aso2

anything.com/blog/app-store-optimization-tools-worth-paying-for1

Pages are listed as the models cited them.

By model

How each model answered on Appalize across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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