Documented in public
The Moncrieff Method
The Moncrieff Method is RankOps' five-step system for getting local businesses cited by AI engines: audit the signals, fix the entity, publish the answers, build the citations, and track what AI actually says. It's documented publicly because the proof is live — 73 neighborhood pages across 4 North Carolina cities you can click through right now.
The five steps
1. Audit the signals
Read the site the way AI readers do: 16 weighted checks across findability, citation signals, and local discoverability. Deterministic, repeatable, and the same scorer that powers the free check.
2. Fix the entity
Make the business a specific, verifiable thing: consistent name-address-phone everywhere, business schema, an owner AI can identify. Engines don't recommend businesses they can't confidently identify.
3. Publish the answers
The questions customers actually ask, answered in the first 40–60 words, marked up with FAQ and Speakable schema. This is what engines quote.
4. Build the citations
The directories and sources AI cross-checks, all agreeing about who and where you are — plus genuinely local neighborhood pages so recommendations land block by block.
5. Track what AI says
Adversarial queries, run on a schedule, with receipts. Cited or not — and if not, who was. The loop that turns visibility from a hope into a number. That's the Tracker.
The live proof
73 neighborhood-level pages across Charlotte, Greensboro, Statesville, and Hickory — built with this exact method, live on the v1 site: see the proof map →
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