An App Store optimization service for iPhone and iPad apps. App Store optimization means researching search terms, competitors, and store-page wording to help an app be found in Apple’s App Store.

Use it to research keywords by country or storefront, track rankings, compare competitors, review app performance, and draft titles, subtitles, and keyword fields.

It replaces guesswork with data about search demand, ranking position, competition, and gaps in an app’s keywords.

aso-atlas — Skill for Claude Code by asoatlas

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add asoatlas/mcp --skill aso-atlas

Clone the repo

git clone --depth 1 https://github.com/asoatlas/mcp

Made for: Claude Code.

Or install aso-atlas, the plugin that ships this one along with the rest of its 1 skill, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/asoatlas/mcp/aso-atlas/github.svg)](https://agentmods.dev/skills/asoatlas/mcp/aso-atlas)

Your own site

<a href="https://agentmods.dev/skills/asoatlas/mcp/aso-atlas"><img src="https://agentmods.dev/badge/skills/asoatlas/mcp/aso-atlas/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/asoatlas/mcp/aso-atlas"><img src="https://agentmods.dev/badge/skills/asoatlas/mcp/aso-atlas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 822 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00084	$0.00822
Opus 5	$0.00042	$0.00411
Sonnet 5	$0.00017	$0.00164
Haiku 4.5	$0.00008	$0.00082

Measured 9d ago against content hash 34190914a4d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aso-atlas scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/aso-atlas/SKILL.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ASO Atlas

ASO Atlas is an App Store Optimization tool for iOS apps. Its MCP server exposes the user's own account: tracked apps, keywords per storefront with position, popularity and difficulty, competitors, keyword lists, a metadata optimizer and (when connected) private App Store Connect performance.

Start here

list_tracked_apps first. Every app-scoped tool takes the app_id it returns, not the App Store id.
get_dashboard for a one-screen status across apps; get_app for one app in depth (keywords, ranks, competitors, keyword gap).
research_keywords for terms the user is considering (up to 50 per call, one storefront). keyword_suggestions expands a seed term with autocomplete ideas. app_ranking_keywords reverse-looks-up what any App Store app (by itunes_id) ranks for.

Reading the numbers

Popularity is a 0-100 index of App Store search demand for a term in that storefront. 60+ is a head term, 20-40 is a realistic long-tail target, and the useful opportunities usually sit in the 30-55 band.
popularity_source tells how the number was obtained: asa/dictionary is Apple-reported, estimate is a calibrated estimate that may be upgraded later, below_floor with a null popularity means demand exists but sits under the measurable threshold. Report that as "<10", never as missing data.
Difficulty is 0-100, lower is easier. It weighs how many top results carry the term in their title and how strong those apps are.
A keyword with pending: true has not been measured yet (research is queued). Say "not measured yet", then call again in a moment.
Storefronts are two-letter country codes (us, pl, de...). The same term can be tracked in several markets.

Recommending keywords

Prefer terms with popularity in the 30-60 band and difficulty under ~40 that match what the app actually does. A term that equals a ranking app's name is brand navigation: real demand, but not targetable. Check the app's current metadata coverage with get_app_optimizer before proposing a subtitle or keyword field; it reports missing terms ranked by popularity and character budgets.

Read the full file on GitHub · 39 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago First seen · 39 lines · 84 tokens per session scan A 34190914a4d9

Subscribe to this mod's changes

aso-atlas is a skill published in the GitHub repository asoatlas/mcp (0 stars, last pushed 12d ago), licensed MIT. It adds 84 tokens to every session and 822 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Marketing and SEO Mobile app-store app-store-optimization aso claude cursor ios

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A broad guide to growing mobile apps through App Store Optimization, launch planning, creator-made content, and marketing on platforms such as TikTok, Instagram, and YouTube Shorts.

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Beginner-friendly App Store Optimization guide covering keyword research, screenshot design, rating management, and A/B testing for iOS and Android. By @WeiYipei — practical ASO for indie developers and small teams.

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Apple App Store Connect API integration. Fetch iOS app metadata, reviews, ratings, and version info directly from App Store Connect. Requires API key. Triggers on: "app store connect", "asc".

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