In Episode 2.7 of AEO Decoded, we tackle Resilience Engineering for Answer Engine Optimization. This is where we move beyond tactics and build content systems designed to withstand AI model updates, platform changes, and algorithmic shifts.What You'll Learn:

Why principle-based optimization outlasts tactical tricks How to build redundancy into your content strategy Format-agnostic content structures that work across all AI platforms Monitoring and detection systems to catch problems early Graceful degradation design principles

Key Takeaways:
The 80/20 rule: 80% principle-based optimization, 20% tactical How to create a "resilience map" for your cornerstone content Why accessibility thinking makes content AI-ready The suspension bridge analogy for content redundancy How to monitor AI citations without panicking at every fluctuation

Actionable Homework: Create a resilience map for your most important content asset. Identify your five most critical claims and ensure each has at least three redundant pathways.

Mentioned in This Episode:
Revisit Season 1, Episode 10: Measuring AEO Success Next Episode: 2.8 — Citation Optimization Strategies

Resources: Visit

🎙️ 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

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.

Visit AEODecoded.ai to sign up for our newsletter and submit your questions for the Q&A Lightning Round.

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.

Discover how to architect your content around natural conversation flows so AI systems keep citing you across multiple dialogue turns. In this episode, Gary Crossey reveals the conversation design patterns that transform isolated content pieces into interconnected knowledge networks that AI assistants love.

AI doesn't think in pages—it thinks in conversations. When someone asks ChatGPT, Perplexity, or Google's AI a question, the system doesn't just find one answer and stop. It anticipates follow-ups, looks for deeper context, and tries to maintain conversational continuity. If your content speaks that language, you become the persistent source across the entire conversation thread.

In this episode, you'll learn:

• How to map natural question progressions and follow-up funnels
• The art of conversation-aware internal linking that guides AI systems
• Techniques for testing your conversation patterns with real AI systems
• Common pitfalls that break conversation architecture
• Practical answers to your burning questions in our Q&A Lightning Round

This week's actionable takeaway: Choose your single most important piece of content and create a conversation flow map. Identify the top 5 natural follow-up questions, check if you have quality content addressing each one, and update your original piece with strategic internal links using conversation-aware anchor text.

Referenced in this episode: Episode 6 (Conversation Design) and Episode 2 (Question-Based Content) lay the foundational concepts we're building on today.

Next week: Episode 2.4 dives into RAG-Aware Content Patterns—how LLMs chunk, embed, and retrieve content, and how to structure yours to survive the process.

Resources: Visit aeodecoded.ai for templates, checklists, and bonus content that complement this episode. Subscribe for weekly drops and submit your questions via our Q&A form.

Hosted by Gary Crossey | AEO Decoded Season 2

AEO Decoded makes Answer Engine Optimization simple and actionable. Learn how to optimize for ChatGPT, Perplexity, Google AI Overviews, and AI search. Get practical strategies for schema markup, entity graphs, RAG patterns, and E-E-A-T that help your content get discovered and cited by answer engines.

Welcome back to Season 2 of AEO Decoded! In the premiere episode, we dive deep into entity graphs, the semantic backbone of modern Answer Engine Optimization.

You'll learn how to build a knowledge architecture that AI systems can actually understand and cite. We cover disambiguation pages, relationship pages, and how to structure your internal linking to create what I call "machine-readable authority."

What You'll Learn:

• The difference between entity graphs and topic clusters
• How to create effective disambiguation pages for your core entities
• Building relationship pages that map connections between concepts
• Internal linking strategies that reinforce your entity graph
• How entity graphs work in harmony with structured data

Your action: identify your top 5 core entities and create disambiguation pages for them this week.

Resources Mentioned:

• Season 1, Episode 4: Entity Optimization
• Season 1, Episode 3: Structured Data
• Visit aeodecoded.ai for more resources

Next Week: Episode 2.2 Advanced Schema Stacks and Harmonizations

AEO Decoded: Making Your Content Speak AI Fluently

Welcome to AEO Decoded, the podcast where we break down Answer Engine Optimization into practical, actionable strategies you can implement today. Hosted by Gary Crossey, each Thursday, we explore how to make your content discoverable, citable, and valuable in the age of AI-powered search.

Season 2 takes everything you learned in Season 1 and goes deeper—way deeper. We're exploring advanced topics like RAG-aware content structuring, AI entity graph building, AEO resilience engineering, and sustainable optimization practices that compound over time.

Every episode follows our proven structure:

The Breakdown — Complex concepts made dead simple

Q&A Lightning Round — Your real-world questions answered

Your One Actionable Item — Something you can ship immediately

No fluff, no technical waffle—just practical strategies for content creators, marketers, and SEO professionals who aren't afraid to tackle this wild new world of AI optimization.

Join us every Thursday morning, starting New Year's Day 2026. Subscribe now and make your content earn answers, not just clicks.