AI Features Pro

RespectASO Pro adds three AI-powered features that use LLMs to supercharge your ASO workflow.

AI Niche Researcher

Enter a seed keyword, select a country and App Store category. The AI researches the competitive landscape and generates a comprehensive strategy including:

• Niche Overview — market analysis of the keyword landscape in your target country
• Keyword Opportunities Table — keyword candidates scored with real popularity, difficulty, opportunity, and download estimates from the App Store
• Recommended Metadata — 3 optimized title variants, 3 subtitle variants, and a keyword field, each respecting App Store character limits
• ASO-Optimized App Brief — micro-problem definition, target audience, competitor gaps, feature differentiators, monetization strategy, and metadata rationale
• Competitor Breakdown — profiles of the top 10 competitors for your seed keyword
• Cross-Field Combinations — additional keyword combinations discovered from the recommended metadata fields

All metadata suggestions respect Apple's hard constraints: title ≤30 characters, subtitle ≤30 characters, keyword field ≤100 characters (comma-separated, no spaces), and no word duplication between fields.

AI Competitor Analyzer

Paste an App Store URL and select a country. The AI reverse-engineers the competitor's keyword strategy and generates:

• Competitor Profile — name, category, rating, price, and metadata of the target app, plus an AI analysis of their positioning
• Competitor's Keywords — keywords extracted from the competitor's title, subtitle, and description, scored with real popularity, difficulty, opportunity, and download estimates from the App Store, with competitor rank where available
• Recommended Differentiation Metadata — 3 title variants, 3 subtitle variants, and a keyword field optimized to outcompete them, with keyword overlap detection
• Strategic Recommendations — positioning angle, keyword gaps, and content strategy for differentiation
• Metadata Coverage Analysis — every word and phrase from the recommended metadata, scored with popularity, difficulty, opportunity, and download estimates from real App Store data
• Niche Map — apps that appear across multiple keyword searches, revealing the broader competitive landscape

ASO Score Simulator

Enter your title, subtitle, and keyword field (no description needed). Optionally select a tracked app for rank data and keyword discovery from its description. Select a country and the storefront's Suggestions language. The simulator runs in one of two modes:

• 🎯 Score mode — evaluates the exact metadata you typed against the live App Store and tells you how close it is to optimal.
• 🌐 Localize mode — uses your metadata + your app's description as a source and generates a brand-new title, subtitle, and keyword field in the target storefront's language. Native search phrases real local users actually type, never machine translation. Works across 30+ App Store storefronts and across regional variants (en-US → en-GB, fr-FR → fr-CA, es-ES → es-MX, pt-BR → pt-PT, zh-Hans → zh-Hant, and more).

Either way, the AI returns:

• ASO Readiness Score — an overall 0–100 rating of your metadata's optimization level, based on completeness, character efficiency, keyword opportunity, and coverage
• Ranking Effectiveness Score — a second 0–100 score (Score mode with a tracked app) that answers "are my keywords actually working?" It measures whether your metadata keywords are converting into real App Store search rankings and driving downloads
• Ranking Insights — shows how much download traffic your current rankings capture, highlights easy-win keywords you're not yet ranking for, and gives actionable next steps based on your score
• Keyword Breakdown — each keyword scored for popularity, difficulty, opportunity, and download estimates against the target storefront — keywords appear in the target language so you see real local search demand
• Metadata Feedback — targeted suggestions to improve character usage, keyword coverage, and field synergy (title, subtitle, and keyword field feedback separately, written in English so your decisions stay easy to read)
• Suggested Improvements — 3 optimized title variants, 3 subtitle variants, and a keyword field, all in the target storefront's language. One-click copy buttons on every field — paste straight into App Store Connect. Plus an Apply Suggestions & Re-Simulate button to keep iterating.
• Metadata Coverage Analysis — every word and phrase from the suggested metadata, scored with popularity, difficulty, opportunity, and download estimates from real App Store data
• Refine with Feedback — provide natural-language feedback and the AI re-evaluates in the same target language, producing updated scores and suggestions

All metadata suggestions respect Apple's hard constraints: title ≤30 characters, subtitle ≤30 characters, keyword field ≤100 characters (comma-separated, no spaces), and no word duplication between fields. Suggested metadata fields come back in your target language; analysis prose stays in English.

Agentic Engine

All three Pro features share a common agentic orchestration engine. This engine:

• Calls your chosen LLM provider to generate metadata recommendations
• Validates all output against App Store hard constraints (character limits, no duplicated words)
• Iteratively refines output via correction prompts (up to 5 rounds) if constraints are violated
• Falls back to programmatic fixes as a last resort to guarantee valid metadata

This means every metadata recommendation you receive is guaranteed to be within Apple's field limits.

BYOK — Bring Your Own Keys

RespectASO Pro uses a Bring Your Own Key model. Your API keys are stored locally on your machine (with file permissions 600) and sent only to the chosen LLM provider's API. We never see, store, or transmit your keys.

Supported providers:

• OpenAI — latest GPT models
• Anthropic — latest Claude models
• Google — latest Gemini models

See API Keys Setup for configuration instructions.