RespectASO Pro now runs its AI workflows on a model hosted on your own Mac via Ollama or LM Studio — with no per-query cost, no API key, and full privacy. Here's what Local AI for ASO means, how it saves money, how to set it up, and how to get the best results.
Read more →In October 2025, the number of U.S. App Store keywords with an Apple Search Ads popularity score above 5 dropped by 77% in four days. MobileAction, APPlyzer, Appfigures, Astro, Phiture and Radaso all confirmed it. Here is why the metric most ASO tools are built on quietly stopped working — and what RespectASO uses instead.
Read more →Model Context Protocol lets you run keyword research, competitor analysis, and metadata audits inside Claude Desktop or Cursor — no web dashboard, no data leaving your Mac. A comparison of 12 ASO MCP servers, BYOK economics, and a step-by-step setup guide.
Read more →Apple doubled the CPP limit to 70 and made pages organically searchable in 2025. Setup, analytics, 8 use cases, CVR benchmarks from 5 sources, and how to generate constraint-compliant CPP metadata with AI — the complete guide for indie developers.
Read more →Keyword cannibalization quietly kills iOS rankings. Learn the 6 types — multi-app, localization, metadata redundancy, CPP overlap, IAP indexing, and organic-vs-paid — plus a 5-step audit process and fixes that doubled one portfolio's installs in 90 days.
Read more →RespectASO now connects to Claude Desktop, Cursor, VS Code, and other MCP-compatible AI assistants — giving your AI direct access to 19 professional ASO tools. Do keyword research, competitor analysis, and metadata optimization through natural conversation.
Read more →Localized apps see at least 38% more organic downloads — but which markets should you localize first? A data-driven framework for indie developers to find high-opportunity countries and execute localization on a near-zero budget.
Read more →ChatGPT, Siri, and Google's Guided Search are reshaping how users find apps — upstream of the App Store. Only 48% of installs now come from store search. What indie developers need to know and the concrete steps to take today.
Read more →Your app is live but invisible in search results. This step-by-step diagnostic guide covers metadata misalignment, keyword targeting mistakes, post-install signals, algorithm changes, and a 10-point checklist to find and fix the problem.
Read more →Enterprise ASO teams spend $25,000–$250,000/year on AI-powered metadata optimization. Agentic AI — a self-correcting engine that validates against App Store constraints — now brings those same workflows to indie developers on a Mac.
Read more →ASO tool pricing ranges from $0 to $250,000/year — and hidden fees, keyword quotas, and annual lock-in make the real cost even higher. A complete breakdown of what every major tool actually costs.
Read more →Every keyword you research in a SaaS ASO tool gets logged on someone else's server. Your competitive strategy is visible to a third party. Learn how self-hosted ASO protects your data.
Read more →Indie developers don't need expensive ASO subscriptions. Break down what actually matters in an ASO tool, which features are essential, and how to do professional-grade keyword research for free.
Read more →A step-by-step keyword research strategy for iOS apps. Learn how to find high-opportunity keywords, avoid common mistakes, and build a metadata strategy that drives organic downloads.
Read more →App Store Optimization (ASO) is how you make your iOS app discoverable in search results. Learn the fundamentals of ASO keyword research, metadata optimization, and ranking strategy — without expensive tools.
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