82% ChatGPT Mention Rate: How Structured Data Built a $90M Pipeline
Background: 12 Regional Sites, One AI Visibility Strategy
Chemours is a global leader in titanium dioxide (TiO₂) manufacturing. The problem: 12 regional websites, each with different structures, different content, and different schema implementations. This worked well enough for search engines that indexed each site separately. But AI engines behave differently.
When someone asks ChatGPT or Perplexity to recommend a TiO₂ supplier, the AI prefers a single, clear, authoritative source. Twelve fragmented sites were actually diluting the signal.
The AEO Strategy
1. Site Consolidation and AEO Infrastructure
All 12 regional sites were migrated to a unified platform. Consistent structured data was applied across every page. Page load times were optimized to under 2 seconds. The goal: a site that AI crawlers could parse quickly and accurately.
2. Comprehensive Product Database
Every product's specifications, applications, standards, and safety information was organized into structured format. JSON-LD Product schema made it machine-readable. Product comparison content was added so AI could answer specific questions like "which TiO₂ has the best dispersibility for coatings?"
3. Comparison and Thought Leadership Content
Technical reports, application guides, and competitive analyses were published. AI engines prioritize content with strong E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness). The strategy was to position Chemours as the authoritative information source for the category, not just a product page.
Results: Mention Rates and Pipeline Impact
AI Engine Performance
- ChatGPT mention rate: 82% (mentioned in 8 out of 10 relevant prompts)
- Google AI Overviews reference rate: 84%
- Perplexity citation rate: 73%
Business Impact
- $90M+ pipeline generated
- $20M+ revenue influenced
- AI engines became a key channel for early-stage B2B buyer awareness
Even in B2B, procurement teams started using AI during the initial vendor evaluation phase. Being on the AI-recommended supplier list became the first step in pipeline generation.
Takeaways for Ecommerce Sellers
This is a B2B enterprise case, but the core principles apply directly to ecommerce. Consolidated content beats fragmented content. Comparable information beats spec sheets. Systematic expertise beats one-off content. These are what determine AI visibility.
Action Items for Cross-Border Sellers
- Consolidate product info scattered across marketplaces to your own site
- Create comparison content that AI can cite when making recommendations
- Publish category expertise guides consistently
- Keep page load times under 2 seconds. AI crawlers care about speed too
Sources
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Start for FreeFrequently Asked Questions
Yes. AI engines prefer a single, clear, authoritative source. Multiple fragmented sites dilute the signal compared to a unified platform.
Yes. This case achieved 82% ChatGPT mention rate, $90M+ pipeline generated, and $20M+ revenue influenced. B2B buyers also use AI during initial vendor evaluation.
Yes. AI crawlers care about speed too. Keeping page load times under 2 seconds lets AI crawlers parse your entire site quickly and accurately.