AI Content Recommendations
AI content recommendations are the specific buyer queries where Yogoo AI catches a competitor getting cited instead of you. Each one comes ranked by impact, backed by your actual citation rate, so you’re not just guessing which query to fix first.
This is content optimization for AI, not a generic SEO checklist. Yogoo AI tells you what to fix, based on how competitors are already getting cited on that same query. If you have a 0% citation rate on a query where any competitor is getting cited instead of you, that’s what the recommendation is tagging as “high-impact”.
What each recommendation includes
- Buyer query: the exact question people are asking across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews right now.
- Your citation rate: how often you show up in answers to that query today. Often it’s 0%.
- Why it’s high impact: the size of the citation gap and how often buyers ask that query.
- The fix: one specific move tied to that query, not a general tip.
With these four pieces together, you’ll know exactly where you’re losing ground and what closes the gap.
How does Yogoo AI rank recommendations?
Two things drive the ranking: the size of your current citation gap, and how often buyers actually ask that query.
A 0% citation rate on a question nobody asks matters less than a 0% rate on a question buyers ask every week, which is why the high-impact tag sits at the top of your list instead of getting buried in a queue.
What happens after you act on one?
Recommendations move through four states: active, in progress, done, and dismissed. Once you publish or update content against one, you can come back and check whether your citation rate on that query actually improved.
Every recommendation you close chips away at the same problem: gaps in your citation rate. Add enough of those wins up, and your Yogoo Score moves with them.