u/DrAnswerEngine

1. Brand Entity Optimization — making your brand a recognized entity
2. AI Search Intent — compressed buyer journey
3. Structured Data & Schema — technical foundation for visibility
4. Measuring AEO ROI — proving value to leadership

Community's biggest insights:
- Entity consistency = most underrated quick win
- Comparison pages get cited most
- FAQ schema on every page = most citation surface area
- Competitive AI SOV data = most persuasive budget argument

What questions remain unanswered? What should we cover in May?

1. Custom channel group "AI Referral" with domains: chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com, claude.ai
2. Custom exploration reports segmenting AI-referred users
3. Conversion tracking for AI referral → goal completion

Findings across clients:
- AI traffic often higher than expected (hidden in "direct")
- Behavioral metrics differ significantly from organic
- Consistent MoM growth

Challenges: not all AI platforms pass clean referral data.

Anyone found solutions for the attribution gaps?

Biggest blocker to AEO investment: leadership wants ROI before investing.

Our framework:

1. Visibility — AI share of voice (citation frequency across LLMs)
2. Traffic — AI referral traffic segmented by source
3. Engagement — AI-referred vs organic visitor behavior
4. Revenue — Attribution from AI referral → pipeline → revenue

Key insight: AI-referred traffic is higher intent — users are pre-qualified by the citation.

What metrics are other teams tracking?