🎙️ 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

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Host: Gary Crossey | Podcast: AEO Decoded | Category: Technology, Marketing, SEO

In this episode of AEO Decoded, we explore how to design images, charts, audio, and video so LLMs can extract claims and context effectively. Learn practical techniques for creating descriptive alt text, figure captions with embedded claims, transcript timestamps, and implementing VideoObject/AudioObject schema markup. You'll discover how to transform your multimedia content into citation-worthy evidence packages that AI systems can understand, attribute, and reference. This episode covers the Evidence Package structure, schema implementation for visual and audio content, and a step-by-step action plan you can implement immediately.

Key Topics: The Evidence Package structure for multimodal content; writing claim-rich alt text and captions; transcript segmentation with timestamps; VideoObject and AudioObject schema implementation; practical homework: optimizing your flagship content

Related Episode: For foundations on this topic, revisit Season 1: Episode 7 on Multimodal Optimization.

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Hosted by Gary Crossey | AEO Decoded — Making AI Search Clear

AEO Decoded Season 2 dives into advanced Answer Engine Optimization strategies. Learn how to optimize content for ChatGPT, Perplexity, Google AI Overviews, and AI search engines through practical, actionable techniques.

How LLMs ingest, chunk, embed, and cite passages, and how to structure pages, passages, and anchors so your answers survive chunking and win retrieval. Learn the five RAG rules: keep sections 500-700 words, front-load key information, use clear H3 headings, make each chunk stand alone, and add citation-worthy sources.