Product Page Optimization
Your product pages look great to humans.
AI can't read them.
I'll transform your product listings into 4-layer pages that AI can discover, read, and cite — with validated structured data, comparison tables, and FAQ sections built on real citation research.
- ✓ Voice-driven description (150-400 words)
- ✓ Specs comparison table (HTML)
- ✓ FAQ accordion — 3-4 questions (HTML)
- ✓ Product + FAQPage + BreadcrumbList schema
- ✓ Rich Results Test validation screenshot
- ✓ Platform-specific paste guide
- ✓ 1 round of revision
- ✓ Everything in Single Product — for up to 10 pages
- ✓ Brand profile setup (one-time intake)
- ✓ Scanner pre-fills your intake form per product
- ✓ 40 ready-to-paste files (4 per product)
- ✓ Batch implementation guide
- ✓ 2 rounds of revision
- ✓ Additional products: $39.70 each after first 10
- ✓ Everything in Catalog Package
- ✓ I implement all changes in your CMS
- ✓ Rich Results Test validation per page
- ✓ Google Search Console indexing requests
- ✓ 30-day indexing follow-up check
- ✓ Squarespace, Shopify, or Wix
- ✓ 2 rounds of revision
How it works
What changes on your product page
| Before | After optimization |
|---|---|
| 30-150 word thin description | 150-400 word voice-driven description matching buyer search queries |
| No structured comparison data | Specs table: "This piece vs. Typical alternative" (HTML) |
| No FAQ section | 3-4 question FAQ accordion with FAQPage schema (45.6% citation rate) |
| Auto-generated schema only | Enriched Product + FAQPage + BreadcrumbList schema (validated 0/0) |
| AI citation score: Structurally blocked | AI citation score: Strong to Citation-Ready |
What designers are saying
"I just had a moment to read through your blog and I can't thank you enough for opening my eyes to this! It's actually exciting to feel like if I get on this quickly, I can really boost my sales this year. I'm about to do a lot of overhauling!"
"This is what we've been waiting for!"
"Love your newsletter!! I'm finally launching a Shopify store this month and I'll be paying close attention to this info."
Built on real data, tested on a real store
Every element of the 4-layer treatment is calibrated to findings from AirOps research — 16,851 queries and 353,799 pages analyzed across ChatGPT's full retrieval pipeline. I built and tested this system on my own jewelry store, Andrea Li Designs, before offering it to clients.
Before: ~150-word descriptions, no FAQ, no comparison data, no schema beyond auto-generated. Citation readiness score: "Structurally blocked."
After: Four-layer treatment — voice description, comparison table, FAQ accordion, enriched schema. Rich Results Test: 0 errors, 0 warnings, 9 validated items per page.
Not sure which tier is right?
Start with the free Product Page Audit Scorecard to see where your pages stand. Your score will tell you exactly what's missing — and which service tier makes sense for your catalog.

