# AI-Citable PDP Upgrade Playbook

Run this 30-day process to route buying-guide and comparison intent to product detail pages that can win AI recommendations.

## Setup

You need analytics access for product-page traffic and assisted conversion, Search Console access for query and page impressions, and edit access to your product detail page templates and structured data fields. Work with one owner and one reviewer on a focused batch of priority product pages.

## Steps

### 1. Select priority PDPs
Pick a focused set of product detail pages with existing discovery demand. Use this priority score: search views from people not typing your brand name x margin tier x conversion headroom.

### 2. Fix structured data and variant clarity
Add complete merchant listing fields, including availability, price, shipping, returns, and core attributes. Implement ProductGroup variant logic so size, color, and material options are machine-readable and distinct.

### 3. Rewrite the decision layer in the first 200 words
Open each product page with buyer decision evidence, not brand claims. State who the product fits, who should skip it, the top trade-off, and the main constraint.

### 4. Add comparison-ready FAQ blocks
Add 4 to 6 FAQ entries using real shopper language from support tickets and search queries. Answer the exact comparison prompts buyers ask before purchase.

### 5. Measure a full 30-day cycle before scaling
Track AI referral sessions to product pages, product-page assisted conversion rate, and buying-guide query click share to product pages. If traffic rises but assisted conversion and click share stay flat, improve page evidence before expanding rollout.

## Done when

Your priority product pages have complete structured product evidence, clear comparison copy, and measurable month-over-month lift in AI-assisted discovery quality and conversion support.