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Steam, Play, and App Store AI Content Disclosure Intake Checklist for Indie Teams (2026 Next Fest)

  • 2026 indie checklist for Steam AI content disclosure, Google Play Data Safety, Apple App Privacy, and partner AI annex questions—single evidence packet, human-gated claims, and demo-truth alignment before Next Fest.

  • By GamineAI Team

  • If your game uses any generative AI in player-visible paths—dialogue, voice, images, moderation assists, or dynamic quest text—you now maintain four parallel truth surfaces: Steam backend fields, Google Play Data Safety, Apple App Privacy labels, and partner PDF annexes. They do not share one form. They do share one failure mode in 2026: the answers disagree with the binary players download.

  • This is an AI integration workflow checklist, not legal advice. It translates publicly visible 2026 store patterns and forum-reported partner questions into a single evidence packet your team can update once per release and copy honestly into each intake.

  • Why this matters now (May 2026)
    Three deadlines overlap:

  • Steam Next Fest October 2026 — Festival demos attract first-time players who read store AI labels after watching trailers. Mismatch between trailer voice (AI) and demo build (scripted) produces refund-adjacent trust hits even on free demos.

  • Mobile store enforcement cadence — Google Play and Apple continue tightening Data Safety / Privacy Nutrition reviews in 2026 Q2–Q3; AI-assisted features that call remote APIs without matching disclosure rows trigger upload blocks, not warnings.

  • Partner annex expansion — Publisher and platform questionnaires in 2026 increasingly include AI training data, human review, and fallback behavior sections separate from consumer-facing labels. Teams that answered Steam only get yellow flags when the annex asks for subprocessors you never listed.

  • The fix is not more lawyers on retainer for a three-person studio. The fix is one pinned disclosure packet in release-evidence/ai-disclosure/ that every store copy pulls from.

  • Direct answer (TL;DR):

  • Inventory every player-visible AI touchpoint (runtime API, on-device model, pre-generated asset).

  • Classify each touchpoint: generative vs assistive vs offline cached.

  • Pin subprocessors, data categories, retention, and human-gate owner in one JSON + Markdown packet.

  • Align demo, trailer, and store copy to the same classification—no "AI dialogue" marketing on a scripted demo.

  • Re-run intake checklist on every build hash you submit to Steam, Play, or App Store Connect.

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