AI overviewgenerated · sourced · expert-edited
what is your methodology?
We engineer machine-readable trust: direct answers, structured data, entity authority, and verifiable consensus across sources.
Methodology
Principles
Six things we hold constant
Direct-answer first
Every important page opens with a one-to-three sentence answer to the query it owns. Then explanation. Then proof.
Entity-grade schema
JSON-LD that reflects visible content and connects organization, people, services, and content into one coherent graph.
Machine-readable surfaces
llms.txt and WebMCP endpoints that give agents a clean, structured view of the site without crawling guesswork.
Consensus engineering
Coordinated source-tier mentions, expert positioning, and citable data assets that build cross-source agreement on who you are.
Render-stable HTML
Server-rendered or hydrated correctly. If AI crawlers can't see your content reliably, none of the rest matters.
Measurement honesty
Per-engine citation rate, query coverage, and gap analysis — not vanity metrics or impressions cosplaying as outcomes.
"Most "AI SEO" advice is keyword work in a new costume. The actual game is structured, sourced, expert content with clean machine surfaces."