The audit tells you what to do. This service does it. Content engineered for AI extraction, schema implemented, sources claimed, citations seeded — done by hand, to the same standard as the audit.
AI engines don’t pick the page that ranks — they pick the passage they can quote. The whole optimization target moves from “does Google show this URL?” to “does the model lift this sentence into its answer?”
Relevance Engineering is the practice of making your brand quotable, attributable, and recommendable to AI engines.
It’s a different discipline from SEO. SEO optimizes for crawlability, ranking signals, and click-through. Relevance Engineering optimizes for extraction — whether a model can lift a self-contained, attributable claim from your page into its answer — and for recommendation — whether the model trusts you enough to name you when a buyer asks for a shortlist.
The audit identifies which pages, claims, schemas, and sources are pulling you down. The Relevance Engineering engagement fixes them — one analyst, by hand, to the same standard as the audit.
Every engagement covers one or more of these four pillars. Most clients start with whichever the audit flagged as the highest-impact gap and expand from there.
Rewrite high-intent pages so the answer leads, the claim is attributable, and the passage is self-contained enough for a model to lift cleanly.
Implement the structural signals AI crawlers and retrieval bots actually read — from JSON-LD to llms.txt to OpenGraph cleanup.
Most categories have 5–15 platforms AI consistently cites. We claim and optimize the ones the audit shows you’re missing or weak on.
Engineer the off-site mentions that move recommendation rate — expert quotes, comparison-page placements, and the kind of third-party context AI relies on.
You can rank #1 on Google and still get skipped by ChatGPT. The signals don’t fully overlap, and the ones that diverge are the ones that move recommendation rate. Relevance Engineering optimizes for the divergent signals.
Relevance Engineering is project-based. We scope to the gaps the audit surfaced, agree a fixed deliverable list and timeline, and execute — with the audit running again at the end so the work is measurable.
Start from your most recent BeCited Audit (or run one if you haven’t). We identify the highest-impact gaps and propose a fixed scope: which pages, which schemas, which sources, which citations. Flat fee. Defined deliverables. Defined timeline.
One analyst — Owen, in most cases — does the work. No agency hand-offs, no junior writer drafting the cornerstone page. Content rewrites, schema implementations, source claims, and citation seeding all ship to the same standard as the audit reading.
At the end of the engagement, we re-run the Full Audit on the same prompt panel. Action-to-outcome attribution tells you which fix moved which dimension — so the next engagement is scoped from evidence, not guesswork.
Engagements end with a written hand-off: what was changed, where, why, and how to maintain it. Most clients extend into a second engagement or shift onto Quarterly Tracking to keep eyes on the work.
Most engagements run 4–8 weeks and target two to three of the four pillars. Pricing depends on scope, but typical engagements land between $8,000 and $25,000 — flat fee, defined deliverables, no retainer required.
We don’t take engagements without a recent audit (yours or ours). The whole point is that the work is measurable — and that’s only true if we know the starting line.
Scope a project →Send a quick note. I’ll reply with a scoping recommendation and pricing range — usually within a day. No sales call required.
Contact Owen →