Challenge
- Strong classic SEO performance but weak mention frequency in AI answers.
- Key pages lacked definition-first structure and evidence-backed claims.
- Entity signals and topical clustering were inconsistent across the site.
Approach
- Rewrote priority pages with definition-first and FAQ-ready structure.
- Added source-backed claims, schema alignment, and clearer entity signals.
- Built supporting cluster content around commercial GEO queries.
- Tracked AI mentions and citation share on a fixed query set.
- Iterated weekly on pages with low citation rates.
Results Timeline
| Metric | Month 0 | Month 6 | Month 12 |
|---|---|---|---|
| AI Citation Rate | 0% | 23% | 47% |
| AI Brand Mention Index | 100 | 190 | 280 |
| High-Intent Referral Sessions Index | 100 | 148 | 236 |
| Answer Share (Tracked Queries) | 6% | 21% | 39% |
What Moved the Needle
- 47% citation rate across prioritized query set.
- +180% growth in AI brand mentions.
- Repeatable GEO workflow for ongoing expansion.
Key Takeaway
AI citation growth is measurable and improvable when content, entity signals, and evidence architecture are managed as one system.
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