2.6 — E-E-A-T for Answer Engines: Building Trust Signals That AI Systems Recognize
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About this listen
🎙️ Welcome to Episode 2.6 of AEO Decoded!
In this episode, we dive deep into one of the most critical factors for answer engine optimization: E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness). While Google made E-E-A-T famous, answer engines like ChatGPT, Perplexity, and others are taking these trust signals to a whole new level.
What You'll Learn:
- Why source reputation matters more than ever in the age of AI
- How answer engines evaluate E-E-A-T signals differently than traditional search
- Practical strategies to build trust signals that AI systems recognize
- The role of citations, credentials, and external validation in AEO
- How to structure author bios and content to maximize credibility
Special Feature: This episode includes our brand new original song "The Trust Signal" - an electronic pop anthem about building digital credibility in the age of answer engines!
Important points:
- E-E-A-T isn't just for Google anymore - answer engines are trained on quality signals
- Your digital footprint across the web matters for AI citation decisions
- Consistency in expertise demonstration builds long-term authority
- Trust signals must be machine readable and contextually clear
Milestone Celebration: We've hit 1,000 downloads! Thank you to our amazing community for making AEO Decoded a success.
Resources Mentioned:
- Google's E-E-A-T guidelines
- Reference to Episode 5 on foundational AEO concepts
Subscribe to AEO Decoded for weekly insights into optimizing for the future of search and discovery through answer engines.
Host: Gary Crossey | Podcast: AEO Decoded | Category: Technology, Marketing, SEO