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AcceptMyApp is an AI-powered assistant that analyzes iOS app metadata and rejection messages against Apple's Review Guidelines. It provides pre-submission risk scanning and rejection analysis to help developers ship apps confidently.
AcceptMyApp is an AI-powered assistant designed for iOS developers to navigate the App Store review process. It analyzes app metadata and Apple's rejection messages against the official App Store Review Guidelines, providing pre-submission risk scanning and rejection analysis to help developers ship apps without surprises.
App Store rejection is a significant problem, with 1.93 million submissions rejected in 2024 and one in three submissions failing review each year. This leads to delays, frustration, and causes 60% of developers to abandon app ideas fearing rejection. The platform addresses this by giving developers tools to identify and fix compliance issues before submission.
The core feature is pre-submission risk analysis, where AI surfaces guideline risks before submission. It identifies monetization, permission, and metadata issues that trigger rejections, providing scored guideline risk areas and a clear safe-to-submit verdict. This includes checking subscription terms clarity, permission prompt usage reasons, and keyword compliance.
Another key capability is rejection analysis, where developers can paste Apple's rejection messages to get the real cause, fix-versus-appeal guidance, and ready-to-send reply drafts for the Resolution Center. The system provides plain-language root cause analysis and generates professional response templates that acknowledge feedback and confirm changes made.
The platform offers review-friendly metadata generation, rewriting titles, subtitles, and keywords to read clearly and rank better while avoiding buzzwords that violate guidelines. It ensures all metadata stays within Apple's character limits and provides side-by-side comparisons with current copy.
AcceptMyApp works using a retrieval-augmented generation (RAG) pipeline that extracts keywords from app metadata and matches them against a curated database of Apple Review Guideline excerpts. The AI then identifies specific risks, generates fixes, and drafts reviewer-safe responses in under 20 seconds, with specific guideline section citations.
Benefits include reduced review cycles, increased submission confidence, and time savings from automated compliance checking. Developers can avoid common rejection causes like privacy policy issues, incomplete metadata, misleading descriptions, and in-app purchase violations that typically trigger Apple's rejections.
Publisher
A
admin
Launch Date2026-01-27
Platformweb
Pricingfreemium
Domain Authority
Ahrefs DR1/100