diff --git a/docs/homepage-blueprint-draft.md b/docs/homepage-blueprint-draft.md
index e1bd3d6..c40d0d8 100644
--- a/docs/homepage-blueprint-draft.md
+++ b/docs/homepage-blueprint-draft.md
@@ -1,4 +1,4 @@
-# DOP Homepage Blueprint (Draft v0.1 — collaborative, not yet committed)
+# VeriPath 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.
@@ -10,12 +10,12 @@
 
 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.
+- **Right — VeriPath 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."  
+- 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"
@@ -30,9 +30,9 @@ Split visual:
 - **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?**  
+- **Q: Why not just use an automated AI citation builder?**
+  A: Automated tools generate Tier 2 (indicative) data; LLMs hallucinate or ignore unverified input. VeriPath 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)