Where does the content go?
Name the model provider (OpenAI, Anthropic, Google) in the privacy policy as a processor and label the data the prompts contain. See the rules for AI chat apps.
App Store rejection
Any app where people post, chat or generate content needs four things before Apple lets it in: filtering, reporting, blocking and a way to reach you. Reviewers apply the same expectations to AI-generated text and images. Here is the checklist and how to ship it in a day.
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Apps with user-generated content or social features must include a way to filter objectionable material, a mechanism to report offensive content with timely responses, the ability to block abusive users, and published contact information so users can reach the developer. Apple also expects terms that make clear objectionable content and abusive users are not tolerated, accepted before people can post.
Reviewers treat generative AI the same way: if your app can produce text, images or audio, they look for filtering of harmful output, a way to report a response, a disclaimer that answers may be wrong, and an age rating that fits what the model can produce. Unrestricted chat apps have been asked to raise the rating or add filters.
reports (content_type, content_id, reporter_id, reason, status, created_at) and blocks (blocker_id, blocked_id). Row-level security so users only see their own rows.
A menu on each item with Report and Block. Reasons: spam, harassment, hate, sexual content, violence, other. On submit, insert the report and hide the item locally.
Every feed, search and message query excludes content from users in the blocks table for the current user. One shared query helper keeps this consistent.
A database trigger or Edge Function sends you an email (Resend, Postmark) for each report. Auto-hide content after a threshold of reports until you review it.
Run a moderation check on the prompt and on the response before showing it. Refuse or soften flagged categories, log the event, and show a Report option under every AI message.
Checkbox at sign-up linking to the terms with the zero-tolerance sentence; contact email in Settings and in the support URL of the listing. Then mention all of this in the review notes.

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Add App Store Guideline 1.2 compliance to this app. 1) Create tables reports(content_type, content_id, reporter_id, reason, status, created_at) and blocks(blocker_id, blocked_id) with row-level security so users can only read and insert their own rows. 2) Add a Report and Block action menu to every post, comment, image, profile and AI reply, with reasons: spam, harassment, hate, sexual content, violence, other. After reporting, hide the item for the reporter immediately. 3) Exclude blocked users from every feed, search and message query through one shared helper. 4) Send an email notification to [admin email] on every new report and auto-hide content after 3 reports until an admin restores it. 5) Add a Terms acceptance checkbox at sign-up with the sentence: We do not tolerate objectionable content or abusive behavior; violations lead to removal and account termination. 6) For AI responses, call the moderation endpoint on the user prompt and on the model output before display; refuse flagged content with a friendly message and show a Report option under every AI message plus the notice: AI responses can be inaccurate. 7) Add a Contact us entry in Settings with [support email].
Name the model provider (OpenAI, Anthropic, Google) in the privacy policy as a processor and label the data the prompts contain. See the rules for AI chat apps.
Show the reviewer that filters exist: a system prompt alone is not visible. A refusal message for flagged prompts is.
Unrestricted generation usually means a higher rating in the questionnaire. Filtered, topic-limited assistants can stay lower.
WebViewGold adds a few things reviewers notice. The first-run dialog (activatefirstrundialog with firstrunmessagetitle and firstrunmessage in Config.swift) can show the community rules natively on first launch. Push notifications via OneSignal let you tell a reporter that their report was handled. For private communities, preventScreenCapture calls your onScreenCaptureAttempt function when a screenshot is taken (screen capture detection). None of these replace the four required features, but they show that moderation is part of the product, not an afterthought.
Yes, comments are user-generated content. Report and block on comments plus a contact address is usually enough for a small community.
For text-only apps with a small audience, reviewers often accept a word filter plus reporting. For images or AI generation, use a moderation API; it is a few lines of code with every major provider.
Blocking is about users; for a single-user AI chat, reviewers focus on filtering, reporting a response and the contact address. If the app has shared or public chats, add blocking.
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