Concept v1.0, updated 2026-07-07

Trust, and why AI answers care about it

Engines repeat sources they trust. What builds that trust on a page.

An AI answer engine is putting its name to whatever it repeats, so it leans towards sources it can trust. Trust is not a single setting you switch on, it is a set of signals that add up and most of them are things a good page does anyway.

Say who is behind the content. A named author with a real bio and a link to their other work is worth more than an anonymous page. Show the site is a real thing, with an about page, contact details and a consistent identity.

Ground your claims. A statistic with a named source, a quote with an attribution, a fact with a link to where it came from, these are things an engine can check and repeat. An unsupported claim is one it tends to skip.

Keep it current where it matters. A page about a fast moving topic with a visible, recent date signals that it is maintained. None of this is a trick, it is what makes content credible to a person too. Kenovar flags unsourced statistics and checks your structured data names an author.

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