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How to Optimize Your PDP for AI Recommendations (Based on 5,000 Simulations)

Joe Kiernan breaks down 5,000 synthetic PDP simulations to reveal exactly what makes AI agents (like ChatGPT) recommend your product—and what actually kills your chances.

  • Keyword-stuffed, 4,000-character text blocks actively decrease an AI agent's likelihood to recommend your product.
  • Including full-text, real customer reviews on your PDP is the single most impactful way to boost AI recommendations.
  • Hidden text works for AI—you can embed targeted Q&A for the AI to read without cluttering the visual experience for human shoppers.
JK

Joe Kiernan · Lead of Portfolio Operations and Analytics, Digital Fuel Capital

Joe Kiernan spent a decade at Bain & Company before helping Amazon aggregator Perch scale from 15 to 250 employees. He later served as SVP of AI at Razor Group before bringing his optimization expertise to Digital Fuel Capital.

The mini-framework

The AI Selection Funnel

Narrows at each stage

Influence Training Data

Produce high-quality SEO content across the web so foundational models understand your brand's overarching authority.

Ensure Live Discoverability

Implement clean JSON-LD schema markups and structured product data so AI agents can easily parse your products mid-search.

Optimize PDP Engagement

Embed full-text human reviews and targeted Q&A to convince the AI to actually recommend your product over competitors.

How this builds back to the Amazon Formula

Here’s the TLDR for people trying to win the new AI search game: AI agents like ChatGPT and Rufus are the new middlemen between you and your customer. And if you think old-school keyword stuffing is the answer, think again. Joe’s 5,000 simulations proved that dumping 4,000 characters of spam on your PDP actively kills your chances of getting recommended. Instead, AI wants what humans want—authentic validation, clean answers, and real, full-text reviews.

This maps perfectly to the Impressions component of our formula, specifically how traditional SEO is rapidly evolving into AEO (AI Engine Optimization). To dominate this new landscape, you have to feed the algorithms exactly what they need to make a fast, confident decision on behalf of the shopper. That means clean structured data, targeted Q&A, and real customer reviews. Optimize for humans, build a genuinely great brand, and the AI algorithms will naturally follow. Love it.

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