AI Recommendations
QuickSEO generates actionable recommendations to help you improve your AI visibility based on your tracking data.
Write a comparison guide: "TaskOrbit vs Asana for Remote Teams"
ChatGPT and Perplexity frequently mention Asana when users ask about project management for remote teams. A detailed comparison page would help your brand appear in these responses.
Asana is mentioned in 78% of prompts where your brand also appears. A head-to-head comparison creates a citeable resource that AI chatbots prefer.
Update your pricing page with feature comparison tables
Your pricing page ranks #4 in Google but is never cited by AI chatbots. Adding structured feature-by-tier comparison tables and FAQ schema would make it more parseable for AI responses.
Pages with structured comparison data are 3x more likely to be cited. Your competitors' pricing pages already use this format.
Track new prompts around "AI-powered project management"
Emerging search pattern detected: users are increasingly asking about AI features in project management tools. Monitor these prompts to track your visibility in this growing category.
Search volume for AI + project management queries grew 140% in the last 30 days based on your GSC data.
Suggested prompts
What project management tools have AI features?
Best AI-powered task management for startups
Viewing Recommendations
Go to AI Analytics → Recommendations to see all your recommendations. Each one shows:
- Title — a summary of the recommendation
- Type — the category (e.g., "Optimize for platform," "Increase citation rate")
- Priority — critical, high, medium, or low
- Description — a brief explanation of what to do
You'll also see a recommendations summary on your main dashboard, showing the count of new recommendations and the top items.
Recommendation Detail
Click View on any recommendation to see the full details:
- Why it matters — context on why this recommendation is important
- Action items — specific steps you can take
- Related prompts — which tracked prompts informed this recommendation
- Impact estimate — the expected effect of implementing the recommendation
Write a comparison guide: “SoleFit vs Allbirds for Everyday Comfort”
ChatGPT and Perplexity frequently mention Allbirds when users ask about comfortable everyday shoes. A detailed comparison page would help your brand appear more prominently in these responses and could increase your mention position from #2 to #1.
Why this matters
Allbirds is mentioned in 78% of prompts where your brand also appears. A head-to-head comparison creates a citeable resource that AI chatbots prefer. Pages with structured comparison data are 3x more likely to be cited as sources.
Action items
- Create a detailed comparison page covering comfort, materials, price, and sustainability
- Include structured data (comparison tables, pros/cons lists) for AI parseability
- Link to this page from your existing product and blog pages
- Add FAQ schema addressing common comparison questions
Acting on Recommendations
Recommendations are generated from your actual AI tracking data, so they're specific to your brand and situation. Common recommendation types include:
- Content gaps — topics where AI mentions competitors but not you
- Platform-specific optimization — actions to improve visibility on a specific AI platform
- Citation opportunities — ways to get more of your pages cited as sources
- Sentiment improvement — suggestions for addressing negative AI mentions
Recommendation Updates
Recommendations refresh after each tracking run. As you implement changes and your AI visibility data updates, completed recommendations are replaced with new ones based on your latest data.
Need Help?
If you have questions or need support, reach out to us at support@quickseo.ai.