The patterns, in the open

Why we publish our own playbook

Execution, not information, is what clients buy. The patterns above are visible on every page of our 40-site network. Knowing them is different from applying them across a thousand pages with verification discipline and editorial judgment. Publishing the playbook also keeps us honest, because an agency whose methods cannot survive daylight is selling something else.

Mechanics questions

What actually makes content citeable by AI engines?

The pattern recurs across engines. Put a direct answer near the top, sized for extraction; we build 40-60 word answer blocks. Shape headings like the questions people ask. Give specific dated facts a system can attribute, since "verified X on DATE from SOURCE" beats vague claims. Keep entity naming consistent so the engine knows who is asserting. Then add machine-readable surfaces: schema that matches visible content, and llms.txt that hands engines the map. None of it is secret, and all of it is work.

Is llms.txt actually used by AI systems?

Honestly, adoption by engines is uneven and evolving, and anyone claiming llms.txt is a ranking key is ahead of the evidence. We ship it anyway, for defensible reasons. It is nearly free, and it concentrates your citeable facts where crawlers and agents increasingly look. Our own network uses it as the canonical citeable-facts layer per site. Cheap, harmless, plausibly compounding: that is the honest case.

How long does AEO take to show results?

Structural changes are crawlable within days to weeks, and citation behavior then shifts on the engines' own opaque schedules. We have seen priority-query citations move within weeks, and others resist for months. Anyone quoting a precise timeline is quoting their hopes. We make a different commitment: a measurement baseline before work starts, so whatever moves is visible and attributable.