Five questions help you identify the first signal constraint to verify — entity declaration, E-E-A-T, content structure, crawler infrastructure, or Share of Model. No email gate. No vanity score. Just the next evidence step.
A scope review uses your diagnostic result, decision context, and website to determine whether a Signal Audit is the right next step.
Answer four brief questions so we can assess fit, decision timing, and the right scope. Your diagnostic result is included automatically.
This request does not create an engagement. We confirm fit, scope, and delivery capacity before any private payment instruction is sent.
We will review fit, the decision context, and the appropriate next step before proposing any engagement or payment instruction.
Can a machine identify you? Names, identifiers, structured data, people, and offers that agree across sources.
Do credible external sources corroborate your expertise? Experience, expertise, authoritativeness, and trustworthiness — verified, not asserted.
Is your content machine-parseable? JSON-LD schema, entity graphs, and citation-ready answers that crawlers can extract without guessing.
Can AI crawlers actually reach your pages? Robots.txt, sitemaps, server responses, and crawl budget — the plumbing most sites never check.
Are you measuring? A stable query set tracks how often engines mention you, cite you, and frame you — across time, against competitors.