Applyra Alternative for Indie iOS Developers: RespectASO vs Applyra

What Is Applyra?

Applyra is a hosted ASO research tool for indie developers and small teams. Its site describes keyword research for the App Store and Play Store with coverage of all countries and languages, AI listing optimization, an MCP server, a limited free plan, and a single paid plan.

Applyra sits in the indie tier of the hosted ASO market alongside tools like Sonar and ASO.dev.

Fundamental Differences

RespectASO is built for developers who want local-first iOS keyword research, transparent scoring, open-source core tooling, and Pro agentic AI workflows for niche research, competitor analysis, and metadata simulation. Applyra is designed around a focused, browser-based ASO research surface for indie iOS developers.

Key Differences

Hosted vs. Local Desktop

Applyra is a hosted research surface. RespectASO runs on your Mac, and the keywords you research, the apps you track and your search history stay there. Free core workflows have no RespectASO account, telemetry, or product analytics.

Country Opportunity Scanning

RespectASO's Country Opportunity Finder scans the App Store storefronts you pick for a single keyword and ranks them by opportunity score. For an indie or early-stage iOS app, that makes it practical to find tractable launch markets where ranking is realistic.

Free Plan vs. Open-Source Free Edition

Applyra's free plan is usage-limited. The RespectASO free edition is the full open-source core app under AGPL-3.0. You get the dashboard, popularity and difficulty scoring, multi-keyword and multi-country search, app rank tracking, and competitor data without account walls. The open-source ASO tool page walks through what's in the public repo and what Pro adds.

Two MCP Stories, Different Data

Both tools connect to AI assistants. Applyra lists AI listing optimization and an MCP server on its paid plan. RespectASO Pro ships a first-party MCP server with 32 ASO tools that work with your own research on your Mac: keyword scoring, opportunity scans, Top Search Terms, and three agentic AI workflows (AI Niche Researcher, AI Competitor Analyzer, and ASO Score Simulator). Pro is BYOK with any cloud model, or a local model via Ollama or LM Studio, so AI cost stays under your control.

RespectASO's Advanced Strengths

Recent RespectASO releases added a set of capabilities that matter in any ASO tool comparison:

• Every App Store storefront: keyword research, difficulty, competitors and the Country Opportunity Finder work in all 175 storefronts Apple operates, not a shortlist of the big ones. The supported countries page lists them, and says where Apple publishes search popularity and where Apple offers an App Store listing language, so you know what a market will give you before you spend time on it.
• Official Apple popularity data (free): connect a free Apple Ads API key once (no campaigns, no ad spend) and RespectASO shows Apple's official weekly search popularity from the Apple Ads Platform API. You choose whether Apple's values or the built-in estimate power your scores, and the key stays on your computer. How the two sources work.
• A calibrated estimate: where Apple publishes no popularity, the built-in estimate fills in, fitted against thousands of Apple's official search-popularity values across several countries, so it speaks the same scale as Apple's own numbers.
• A measured rank, for your app: the opportunity score is built on where apps like yours actually land in the search results, measured on 309 real App Store searches in six countries, and it is scored for the app you track the keyword for, from its own ratings in each storefront. Under every score RespectASO shows the rank it assumed and why. How the score is worked out.
• AI that scores for your app (Pro): the AI Niche Researcher and the AI Competitor Analyzer can score every keyword for one of your own apps, from its ratings and the ranks the Keywords page measured for it. The ASO Score Simulator says when a low score comes from the app's missing ratings rather than its metadata, shows what the same metadata would score with 100 ratings, and tells you how each refined version's estimated search downloads compare with your current metadata. How the AI features work.
• Whole keyword lists in one search (Pro): paste up to 1,000 keywords and RespectASO researches them across up to 5 storefronts in the background. Switch tabs or quit the app, and it continues where it left off, with the results streaming into Tracked Keywords as they come in. The free edition takes 3 keywords per search.
• Top Search Terms (Pro): browse Apple's official most-searched terms per storefront and category: up to 500 terms across 15 categories with rank, popularity, weekly climbers and fallers, and brand-new entries. Track any term or send it to the AI Researcher in one click.
• Rival Tracker (Pro): follow your app against up to 10 rivals every day in up to 3 countries: ranks on your keywords with 13 months of history, ratings side by side, each rival's App Store updates, and a weekly AI summary of what their users complain about. How Rival Tracker works.
• A first-party MCP server (Pro): all 32 ASO tools are usable from Claude Desktop, Claude Code, Cursor, VS Code, and other MCP clients: your assistant scores keywords, runs opportunity scans, and drives the AI workflows against your own local research data. MCP setup.
• Any AI model, any provider (Pro): type any model ID from OpenAI, Anthropic, Google Gemini, or OpenRouter. The in-app test is the only gate, so new models work the day they ship. Connect any other OpenAI-compatible service (OpenCode Zen, Groq, and similar) as a custom endpoint with its address, your key, and a model ID. Or skip the cloud entirely and run a local model via Ollama or LM Studio with no per-query cost.
• Source-aware AI reports (Pro): every AI analysis states which popularity source produced its numbers, and saved reports freeze their figures so the text and the numbers always match. See everything in Pro.

Where the Hours Go

Manual keyword research is slow in a very specific way: checking one keyword in one storefront means an App Store search, a scroll through the results, and notes on the top apps. That is a few minutes every time, multiplied by every keyword and every country you care about. RespectASO automates exactly that arithmetic. With Pro, one search takes a list of up to 1,000 keywords across 5 storefronts and works through it in the background (you can switch tabs or quit, and it continues where it left off), and the Country Opportunity Finder checks a keyword across the storefronts you pick, which would otherwise cost an afternoon of storefront-by-storefront checking.

The rest of the routine runs itself: tracked keywords update by themselves every day, Apple's official popularity arrives every week with nothing to click, and bulk actions apply to your whole selection even across pages. With Pro, Rival Tracker checks where your app and up to 10 rivals rank on every followed keyword each day, records their ratings and App Store updates, and collects their newest reviews, a check that would otherwise mean opening every rival's page every morning. With Pro, the AI Niche Researcher turns one seed keyword into 50-70 scored candidates plus ready-to-test metadata in a single run, and through MCP your AI assistant runs the same research mid-conversation, with no app switching and no copy-pasting of scores.

When RespectASO Is the Better Fit

• You want depth in App Store/iTunes Search-derived keyword research with multi-storefront opportunity scanning.
• You want Apple's official search-popularity data powering your scores, updated weekly through your own free Apple Ads key.
• You want a local-first workflow where research stays on your machine.
• You value an open-source free edition with public scoring methodology.
• You want Pro agentic AI workflows with BYOK: any cloud model, or a local one via Ollama or LM Studio.
• You want a free edition that's the full free edition rather than a usage-limited tier.

When Applyra Is the Better Fit

• You prefer a hosted tool you can open from any device.
• You publish on the Play Store as well and want both stores in one plan.
• You're not on macOS and prefer not to run the Docker self-host path.

The Bottom Line

Applyra is a hosted ASO research tool for indie developers who want a clean web surface across both stores. RespectASO is a local-first iOS keyword research and metadata workflow with Apple's official popularity data available at no cost, an open-source free edition, the Country Opportunity Finder, and Pro agentic AI workflows.

For comparisons with other indie-friendly tools, see how RespectASO compares to Sonar, TheTool, ASO Dev, or Appfigures.