RespectASO vs Appfigures: Which ASO Tool Is Right for Indie Developers?

What Is Appfigures?

Appfigures is a long-running app analytics and ASO platform founded in 2009 and based in New York. It started as a sales and download analytics tool for App Store and Google Play developers, then expanded into keyword research, ranking history, and competitive intelligence. Appfigures is browser-based and is designed for indie developers, agencies, and product teams that want analytics and ASO under a single account.

Appfigures focuses on multi-store coverage and historical analytics. The platform supports the Apple App Store, Google Play, and Mac App Store, with reporting tools that pull together sales, downloads, ratings, and keyword movement.

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. Appfigures is designed around a hosted analytics-and-ASO workspace where sales, downloads, and keywords live together in one cloud account.

Key Differences

Analytics-First vs. Research-First

Appfigures is built around the idea that your sales, downloads, and keyword performance should live in the same dashboard, with your store accounts linked in. That makes it useful when ASO is one part of a broader reporting workflow that also includes revenue, ratings, and review monitoring.

RespectASO is built for the keyword research and metadata decision itself. The free edition handles popularity and difficulty scoring, multi-keyword and multi-country search, the Country Opportunity Finder, and competitor context. Pro adds agentic AI workflows that turn a seed keyword into a researched niche, break down a top-ranking competitor's positioning, and evaluate a draft metadata bundle before you ship.

Multi-Store vs. iOS-Focused

Appfigures supports Apple App Store, Google Play, and Mac App Store, which is helpful for teams that need a single analytics surface across platforms. RespectASO focuses on the iOS App Store. That focus is intentional: it lets the free edition go deeper on App Store/iTunes Search-derived popularity, difficulty, opportunity scoring, and country-level keyword discovery without spreading itself across surfaces it can't go as deep on.

Hosted Workspace vs. Local-First

Appfigures stores your linked accounts, your keyword research, and your reports in its workspace. That makes cross-device access easy. RespectASO runs locally on your Mac — the keywords you research, the apps you track, and the search history all live in a local database. Free core workflows have no RespectASO account, telemetry, or product analytics. The privacy-first and self-hosted positioning pages walk through the architecture in detail.

Open Source vs. Closed Platform

Appfigures is a commercial platform. RespectASO's free edition is open source under AGPL-3.0, with the source on GitHub. Developers who want to inspect how scoring works, run a modified version, or self-host with Docker can do so. The open-source ASO tool page covers what's in the public repo and what's reserved for Pro.

RespectASO's Advanced Strengths

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

• Official Apple popularity data (free): connect a free Apple Ads API key once - no campaigns, no ad spend - and RespectASO syncs Apple's official weekly search-popularity dataset from the Apple Ads Platform API to your machine. You choose whether Apple's values or the built-in estimate power your scores, and the key never leaves your computer. How the two sources work.
• A calibrated estimate: the built-in popularity estimate is fitted against hundreds of Apple's official search-popularity values - rank correlation 0.61 with Apple's data on held-out keywords, and 0.71 on brand-like keywords where the previous weights scored 0.09.
• 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.
• A first-party MCP server (Pro): all 23 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 - a few minutes every time, multiplied by every keyword and every country you care about. RespectASO automates exactly that arithmetic. One search scores up to 20 keywords across 5 storefronts in a single run, and the Country Opportunity Finder checks a keyword across all 30 supported storefronts in one background pass - research that would otherwise cost an afternoon of storefront-by-storefront checking.

The rest of the routine runs itself: tracked keywords refresh automatically every day, Apple's official top-terms dataset syncs weekly so popularity lookups are instant and local, and bulk actions apply to your whole selection even across pages. 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 - no app switching, no copy-pasting scores.

When RespectASO Is the Better Fit

• You're focused on iOS and want depth in App Store/iTunes Search-derived keyword research, scoring, and country-level opportunity.
• You want Apple's official search-popularity data powering your keyword scores, synced weekly through your own free Apple Ads key.
• You want a local-first workflow where your keyword research and competitor lists stay on your machine.
• You value an open-source free edition you can inspect, run with Docker, or extend for your team.
• You want Pro agentic AI workflows for niche research, competitor analysis, and metadata simulation, with BYOK - any cloud model, or a local one via Ollama or LM Studio.
• You prefer a tool whose free edition is the full free edition rather than a usage-limited free plan.

When Appfigures Is the Better Fit

• You want sales, downloads, ratings, and ASO under a single hosted dashboard with linked store accounts.
• You publish on both Apple App Store and Google Play and want one workspace for reporting across both.
• You prefer a browser-based tool you can open from any device without installing a desktop app.
• You're inside an agency or larger team that already runs reporting workflows in a central web tool.

The Bottom Line

Appfigures is a hosted multi-store analytics platform with ASO tools layered on top of linked store accounts. 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, and Pro agentic AI workflows for the parts of ASO that benefit most from automation.

For comparisons with other tools in this space, see how RespectASO compares to Sensor Tower, AppTweak, App Radar, or Asodesk.