How We Used AI to Revive Underperforming PDPs at Scale

What do you do when your product pages are either flatlining or fading—and you’ve got tens of thousands of them?

That’s the challenge we tackled for one of our large e-commerce clients. But instead of applying a blanket SEO strategy across the board, we took a smarter, segmented approach—and used AI to do what would’ve been impossible manually.

The Strategy: Not All PDPs Need the Same Fix

We broke product detail pages (PDPs) into 4 key cohorts:

• Top Performers
  Pages already ranking and converting well—but ripe for enhancement to defend their positions.
• Zero Visibility Pages
  No clicks. No impressions. Totally dormant. We needed to bring them to life.
• Striking Distance Opportunities
  Pages ranking on page 2–3 for target terms—just a few adjustments away from breaking through.
• Declining Pages
  Previously strong PDPs that were slipping in rankings and traffic. These needed a comeback.

Each type of page had different needs. So we built a Gryffin template that could adapt to all of them.

The Execution: From Raw Product Copy to AI-Enhanced SEO Assets

Here’s how the Gryffin template worked:

➡️ Input: The product title and existing description
➡️ AI Process:

• Analyzed content to identify primary and secondary keywords
• Generated a new meta title, meta description, and H1
• Expanded the product description into a more detailed, SEO-optimized version

➡️ Output: A structured dataset ready for import—no additional formatting needed.

We exported titles, URLs, and descriptions → ran it through the Gryffin template → got back clean, keyword-rich content ready to deploy.

The Scale: Why This Wouldn't Work Without Gryffin

Could we have done this with a generic AI tool? Maybe.
Could we have done this for hundreds or thousands of SKUs? Absolutely not.

Gryffin isn’t just about content generation—it’s built for automation, structure, and scale. We didn’t just get outputs. We got:

• Smart targeting by cohort
• Consistent formatting
• CMS-ready metadata and descriptions

All without bottlenecks or burnouts.

Why This Matters: SEO at Scale Needs a Smarter Stack

The old way:

• Copy/paste prompts
• One-size-fits-all edits
• Weeks of manual cleanup

The new way:

• Cohort-driven strategy
• Automated, intelligent content generation
• Hundreds of optimized PDPs in a fraction of the time

This isn’t theory—it’s AI in action. And it’s transforming how we approach long-tail SEO for enterprise clients.

🧠 Key Takeaway

AI isn’t just for writing—it’s for scaling strategy.

When you build the right workflows and feed the right inputs, you can turn stagnant PDPs into high-performance SEO assets at speed and at scale.

Want to see the template we used or how we structured the cohorts?
Drop a comment or DM me—happy to share more on how we’re putting AI to work in real-world SEO campaigns.

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