Could your best-selling products be invisible to search engines? What if Google’s AI can’t see your product variants?
That’s exactly what was happening with this eCommerce brand (our client) brand but they managed to fix it and boosted revenue by 74%.
Product variants were being grouped under single URLs. That meant no pages for specific product terms, even though people were actively searching for them.
We took a bold step: break them out, optimise them smartly, and aligned them with how AI search understands buyer queries.
The results?
- Organic sessions up by 174.85%
- “Add to cart” events up by 305.94%
- Purchases increase by 215.38%
- Revenue up by 74.08%
All in just one month.
What we did (Strategy Breakdown)
1. Product Variant SEO for AI Mode Visibility: We separated high-potential product variants into their own optimised pages. Each new page targeted:
- Specific product type combinations.
- Long-tail keywords aligned with AI search.
- Middle to bottom-funnel queries.
This helped us show up for precise product queries, not just broad ones.
2. AI-Prompted Meta + On-Page Optimisation: Every new page was run through AI optimisation layers:
- Meta titles and descriptions were trained to trigger AI Overview visibility.
- Structured FAQs for People Also Ask and rich results.
- Internal links were built to strengthen topical relevance and crawl depth.
Instead of chasing volume, we aligned with how LLMs interpret relevance.
3. Intent-First Keyword Structuring: We restructured keywords by intent stage, not just volume. That meant:
- Mapping variant-based and strength-based queries to the bottom funnel.
- Using modifiers like “buy,” “best,” etc., to capture decision-stage users.
- Layering product features directly into URLs and H1s.
This made every landing page a conversion-ready entry point.
4. Enhanced Tracking of Real Conversion Signals: Rather than obsessing over bounce rates or pageviews, we tracked:
- Add-to-cart behaviour.
- WhatsApp and instant chat clicks (for hybrid commerce).
- Purchase confirmation events.
This feedback loop allowed us to refine content where engagement dropped and amplify what led to real revenue.
The takeaway?
Google’s AI systems reward granularity, not page bloat.
In eCommerce, it’s easy to think of SEO as a game of categories and filters. But in the AI era, search is granular, intent-driven, and increasingly conversational.
This brand saw a 74% increase in revenue not by chasing more traffic, but by creating clearer, more aligned entry points for the right searchers.
For more case studies, visit us at https://www.growth.pro/seo-case-study
