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The delivery engineThe 24-Signal Authority Method
The homepage shows what you buy — the Expertise-to-Client Engine. This is the machinery underneath it: how I make Google and AI actually understand, trust, and recommend your expertise. One expert, twenty-four authority signals.
1. FAQ signals — answer what they're already asking
Capture demand that already exists. FAQ signals are short, answer-forward pieces that address the exact questions your audience types into ChatGPT, Google AI, and Gemini right now — answered completely in the first sentence, backed by a specific fact, published on your own domain with schema.
“How much does a Baltimore home appraisal cost?”
“What's the difference between SEO and GEO?”
The rule: if a national site already answers it, it's an FAQ signal — you compete on credibility and local specificity, not uniqueness.
2. SAQ signals — answer what only you can
This is your unfair advantage. A Should-Ask Question is one your audience doesn't yet know to ask — and answering it takes real expertise no generalist or model can fake. A 37-year Baltimore appraiser explaining why a CHAP credit shifts value on a specific block produces content no national site will ever write. AI cites it because nothing else answers it as precisely.
“Why can two rowhouses two blocks apart appraise $60,000 apart?”
“Why do experienced professionals over 45 have an edge in AI search?”
3. The 4 Authority Anchors — turn visibility into clients
Visibility without conversion is just traffic. The Anchors are the layer that turns attention into business.
Your Story
The authentic narrative of how you built your expertise — written for trust and AI citation.
Your Framework
A nameable, teachable method that positions you as a system creator, not just a service provider.
Your Proof
Specific numbers, timelines, and cases that show the method actually works.
Your Offer
The clear next step that converts AI-visible authority into conversations and clients.
The Citation Geyser — one workflow, every engine
Each of the 24 signals is distributed to the platform each AI engine actually reads: FAQ schema pages for Google AI Overviews, video and Business Profile posts for Gemini, long-form articles and LinkedIn for ChatGPT, fresh dated content for Perplexity, in-depth SAQ articles for Claude. One structured publishing workflow feeds all of them at once — which is how a single expert produces the footprint of a whole team.
This is the technical work behind Stages 2–4 of the Expertise-to-Client Engine — Visible, Trusted, and Recommended. You don't have to run it yourself. That's my job.
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