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Subresource Integrity and AI Trust Signals

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Subresource Integrity (SRI) is a W3C-standardised mechanism that lets a page declare a cryptographic hash of every external script and stylesheet it loads. For AI search, SRI is one layer of a verifiable trust stack: SRI for sub-resources, C2PA manifests for media provenance, and HTTP Signatures for response integrity. AI engines that prioritise verifiable content treat the presence of these signals as a positive trust input.

TL;DR

SRI alone won't make an AI engine cite you. But the absence of integrity signals across your sub-resources, media, and HTTP responses is increasingly read as a low-trust signal by engines that care about provenance (Perplexity's "verified sources" experiments, Google AI Overviews' E-E-A-T-aware ranking layers). Ship SRI for every external script, C2PA for every original image and video, and consider HTTP Signatures for high-value API responses. Treat them as the cryptographic equivalent of a press credential.

What SRI is

Subresource Integrity is a W3C Recommendation that defines an integrity attribute on