| Page | Version | ACP Score | Status |
|---|---|---|---|
| Myron 30oz Tumbler | A — Thin |
41/100
|
Live |
| Myron 30oz Tumbler | B — Enriched |
89/100
|
Live |
| Imperial Oreno 30oz | A — Thin |
36/100
|
Live |
| Imperial Oreno 30oz | B — Enriched |
91/100
|
Live |
"Hypothesis: Fully enriched product pages with structured B2B data (price, MOQ, decoration methods, production time, Schema.org markup, FAQ pairs) will appear more frequently in Perplexity and Google AI Mode responses to buyer-intent queries than thin pages containing the same product with minimal structured data."
Thin pages are missing
- Schema.org Product JSON-LD
- Open Graph price tags (og:price:amount)
- Production time — Imperial (key gap)
- Decoration method detail — Myron
- FAQPage schema with answered pairs
- B2B procurement language
- Use-case context (events, onboarding)
- MOQ stated explicitly in title/meta
Enriched pages added
- Schema.org Product + FAQPage JSON-LD
- og:price:amount, product:availability
- Production timeline box (7-day standard)
- Laser / full color / screen print detail
- 5 answered FAQ pairs visible on page
- B2B Procurement Specs panel
- 6 use-case pill tags per page
- MOQ, SKU, and specs in og:title
Want to see the experiment live? Run these exact buyer-intent queries in ChatGPT and Perplexity, then note which pages appear in the cited sources. If enriched pages appear and thin pages don't, the hypothesis holds.
What to look for: Check the cited sources / references in each AI response. If a Version B (enriched) page appears and the corresponding Version A (thin) does not, that's a confirmed signal. If both appear, compare position. Screenshot and record results on Day 7, 14, and 28.