How recently you've shown agents you're still here — and still right.
Freshness is the set of signals that tell an agent your content is current. Last-modified dates that vary realistically, content velocity (new posts, updates), refreshed pricing, recent reviews. Agents prefer fresh answers; a stale site gets passed over for a fresher competitor even when the fresher one is less authoritative.
When ranking candidates for citation, agents apply a recency weight. A 4-year-old page with a great answer often loses to a 4-month-old page with a slightly worse answer — because the agent has no way to know whether the old answer is still correct. Freshness signals are how you keep your existing content competitive without rewriting it.
Per-URL lastmod dates that vary based on real edits
Recent blog posts, social activity, or product updates
Reviews dated in the last 90 days
The free audit returns your score on this pillar plus the other 4 — and tells you which specific findings are dragging it down.
Free AAO Audit01
The Schema.org markup that lets agents extract facts before they read prose.
02
Readable, extractable answers — the substrate AI agents quote.
03
The machine-readable surface AI agents talk to — llms.txt, sitemaps, feeds, public endpoints, and the 2026 cross-platform standards (A2A, UCP, WebMCP).
04
How clearly your reputation is declared in your site's schema and content — what agents can parse without leaving your domain.