Readers ask AI the questions your desks already answer: "what happened with X", "is Y true", "explain Z". The schema that carries you into those answers is Article and NewsArticle, with datePublished and dateModified so freshness is machine-readable, plus author markup linked to a real, credentialed byline. Authorship is doing heavy lifting in 2026: engines favor named, verifiable authors over anonymous content, so a Person entity with a bio and prior work matters as much as the copy itself.
The authority angle is your natural advantage. Original reporting, primary sourcing, and a masthead engines already trust make you the extractable source when a story breaks. Freshness compounds it: NewsArticle with an honest dateModified signals that your take is current, which is exactly what engines want when the underlying facts move hour to hour.
The most common publishing pitfall is high-volume output with thin structured data, no per-article author entity, or dates that never update, so a smaller, tighter competitor gets cited instead. At your article volume, that gap is not one page, it is thousands. SEO AEO Specialist diagnoses AND fixes across the catalog, not just monitors: a free 50-page audit (€0, no card) shows where schema and authorship are missing, a €9 one-time report covers a section, and €19/mo per domain keeps freshness and markup checked as you publish.
See the AEO guide and GEO guide, and prioritize FAQ schema for AEO. Run SEO AEO Specialist's free audit of up to 50 pages (€0) to see your gaps.
FAQ
Should publishers use Article or NewsArticle schema?
Use NewsArticle for timely news stories and Article for evergreen features and explainers. Both need datePublished, dateModified, headline, and a linked author entity. NewsArticle signals recency, which engines weigh when facts change quickly, so accurate dates are as important as the markup type you choose.
Why do AI engines cite smaller outlets over big publishers?
Usually because the smaller outlet has cleaner structured data, a clear named author with credentials, and content shaped as a direct answer. Engines extract what they can parse and attribute what they can trust. Volume without schema, authorship, or updated dates loses to a tighter, well-marked-up competitor.
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