DOP Homepage Blueprint (Draft v0.1 — collaborative, not yet committed)

Authors: Qwen (structure) + Leonard (evidence grounding) · Date: 2026-08-10 Brand: red-accent #b8402c, rigorous-engineering tone, no marketing fluff Evidence rule: every claim maps to Tier 1 (Verified) or Tier 2 (Indicative); human-approved.

Section A — "Proof in Action" (replaces testimonials)

Headline: "We Don't Guess. We Verify."

Split visual:

Left — Industry Standard: generic "AI citation tool" dashboard, green checkmarks, red overlay showing the customer path leaking ("AI recommended a competitor because their schema was structured better").
Right — DOP Standard: a Tier 1 Verified finding with human analyst approval stamp.

Interactive element (slider/tab) — anchored on the Gilmore HVAC live audit (research/cold-audits/cold-audit-hvac-gilmore.md):

Prompt shown: "Best HVAC company in Cameron Park, CA" (Perplexity/ChatGPT).
Leak shown: 3 conflicting phone numbers (page (916) 884-6354 / schema +1-530-290-5551 / snippet (530) 344-4515) + schema geo Antelope, CA 95843 vs Cameron Park target.
Caption: "The AI doesn't know which number is real. Neither do the customers it sends elsewhere."
(This is the Screenshot of Shame moment.)

Section B — "Three Domains of Integrity"

Customer Path Integrity — diagram AI Search → SERP → Website → Conversion, leak markers at each handoff. Grounded in our audit gaps (Martel: zero machine-readable NAP = leak at AI Search).
AI Visibility Integrity (AEO) — how LLMs parse local entities (schema, citations) vs how legacy SEO tools assume. Grounded in CPFD generic-schema finding.
Local Competitive Awareness (Clean Competitive Fuel) — "Shadow competitors" ranking in AI but not in top-10 blue links. We refine fragmented public data (reviews, offers, hiring signals, AI mentions) into trustworthy local market intelligence. Grounded in Gordon Law: rank #1 at home, invisible for Cameron Park.

Section C — "Engagement Ladder" (the motion, radical transparency)

Step 1 — Cold Audit (Layer 1a): Free. We find the leaks. You keep the report.
Step 2 — Threat Diagnosis: Paid fixed-fee. We quantify revenue impact of the Silent Customer Loss.
Step 3 — Focused PoC: We fix one critical leak and make the business Agent-Ready (structured facts AI systems can trust). You measure.
Step 4 — Retainer: Ongoing human-supervised, agent-assisted integrity + monthly measurement loop. "We do not accept retainers without a successful PoC."

Section D — "Objection Handling" FAQ

Q: Why not just use an automated AI citation builder?
A: Automated tools generate Tier 2 (indicative) data; LLMs hallucinate or ignore unverified input. DOP relies on Tier 1 (verified) evidence, human-approved, so the AI actually trusts the entity.
Q: How is this different from Bizl?
A: Bizl shows Tier-3 self-reported case studies. Our 5 live audits are observed, falsifiable evidence — we show our work.

Trust Anchor (site-wide footer/header)

"Every finding on this site was verified by a human analyst. AI agents draft the reports; humans verify the truth."

Open governance refinement (from Claude, pending Leonard incorporation)

"If a proposed Tier 1 classification is rejected by human review, it defaults to Tier 2 unless the reviewer discards the finding entirely or requests more evidence." → Add to docs/project-plan.md §5 Governance before any client-facing launch.

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