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ChatFeatured includes AI-powered agents that analyze your data and provide actionable recommendations for improving your brand’s visibility across answer engines.

What Are AI Agents?

AI Agents are intelligent assistants built into ChatFeatured that:
  • Analyze your data: Review your prompts, results, and visibility trends
  • Provide insights: Identify patterns and opportunities you might miss
  • Recommend actions: Suggest specific steps to improve visibility
  • Answer questions: Respond to your questions about AEO strategy
Unlike generic AI assistants, ChatFeatured agents have access to your specific data and are trained on answer engine optimization best practices.

Available Agents

How Agents Work

Data Access

Agents have access to:
  • Your prompt results and analytics
  • Competitor visibility data
  • Your Knowledge Base content
  • Site Audit findings
  • Historical trends

Context Awareness

Agents understand:
  • Your brand and market positioning
  • Your target audience
  • Your competitive landscape
  • Industry-specific factors

Personalized Recommendations

Because agents know your specific situation, they provide recommendations that are:
  • Tailored to your brand
  • Based on your actual data
  • Actionable and specific
  • Prioritized by impact

Using Agents Effectively

Ask Specific Questions

Get better results with focused questions: Good questions:
  • “Why is my visibility lower on Google AI compared to ChatGPT?”
  • “What content should I create to improve visibility for pricing questions?”
  • “Which competitors are gaining visibility and what might be driving it?”
Less effective:
  • “How do I improve SEO?”
  • “What should I do?”

Provide Context

When asking questions, include relevant context:
  • Specific prompts or topics you’re asking about
  • Time periods for comparisons
  • Particular competitors or AI engines of interest

Iterate and Follow Up

Agents support conversational interaction:
  1. Start with an initial question
  2. Ask follow-up questions for clarification
  3. Request more specific recommendations
  4. Explore related topics

Act on Recommendations

Agents provide value when you implement their suggestions:
  1. Review recommendations carefully
  2. Prioritize based on impact and effort
  3. Implement changes
  4. Monitor results in analytics
  5. Return to the agent to discuss outcomes

Agent Capabilities

Analysis

  • Visibility trend analysis
  • Competitor comparison
  • Performance by AI engine
  • Geographic variations
  • Topic-level insights

Recommendations

  • Content optimization suggestions
  • Topic and keyword opportunities
  • Technical improvements
  • Competitive strategies
  • Priority actions

Content Creation

  • Draft content outlines
  • Optimize existing content
  • Create content briefs
  • Suggest headlines and angles

Strategic Guidance

  • AEO best practices
  • Industry benchmarks
  • Emerging opportunities
  • Risk identification

Best Practices

Regular Check-ins

Build agent consultation into your workflow:
  • Weekly: Quick check on visibility trends and any concerns
  • Monthly: Deep dive into performance and strategic planning
  • Quarterly: Comprehensive review and goal setting

Share Knowledge

The more agents know, the better they help:
  • Keep your Knowledge Base updated
  • Share wins and losses
  • Provide feedback on recommendations

Combine Agent Insights

Use agents together for comprehensive guidance:
  1. AEO Agent identifies visibility gaps
  2. Content Agent creates content to address them
  3. Track results in analytics
  4. Return to AEO Agent to measure impact

Limitations

While powerful, agents have limitations:
  • Data-dependent: Recommendations are based on your tracked prompts and data
  • Not real-time: Analysis reflects your most recent data, not live AI responses
  • Guidance, not guarantees: Recommendations improve odds but don’t guarantee results
  • Human judgment needed: You know your business best—use agents as advisors

Privacy and Security

Your Data

Agent interactions:
  • Use only your organization’s data
  • Are not shared with other users
  • Do not train external AI models

Conversation History

Past conversations are:
  • Saved for your reference
  • Accessible to your team (based on permissions)
  • Deletable upon request