Users can't tell AI images — automatic visible watermark + provenance API

Users can't reliably tell AI-generated images from photos, and that gap creates real operational, reputational, and legal costs for platforms, publishers, advertisers, and marketplaces. Large platforms face rising moderation loads and liability, brands and advertisers face fraud and trust erosion, and regulators increasingly demand provenance—so the problem is cross-cutting and high-stakes. You could build an automatic visible watermark combined with a provenance API that emits C2PA-compatible cryptographic content credentials, plus SDKs, batch ingestion, and a real-time verification endpoint and dashboard for moderation and ad systems. The product would apply a configurable, tamper-evident visible mark at ingestion while anchoring immutable metadata and signing keys to enable downstream verification and audit trails. Timing is favorable: generated-image volume is growing exponentially, platforms are experimenting with visual labels, and standards like C2PA/Content Credentials are maturing—creating a window where enforceable provenance and visible cues are meaningful. The addressable market is roughly $6.0B (100,000 digital platforms × $60K ACV), with a market score of 88/100 and revenue potential of 82/100, indicating substantial upside if you can secure enterprise integrations. To stand out you must combine robust, low-friction integrations and developer tooling, enterprise SLAs, and a hybrid approach that pairs a visible watermark with verifiable cryptographic provenance and tamper-detection analytics rather than relying on one technique alone. This is worth pursuing—competition is medium and the opportunity is large—but success demands engineering to resist removal, partnerships with standards bodies and platforms, and a disciplined enterprise go-to-market to overcome adoption inertia.