AEO Decoded

Gary Crossey
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A bite-sized, charm-filled podcast that demystifies Answer Engine Optimization (AEO) for everyday content creators. Each 5-10 minute episode breaks down one key AEO concept in an accessible, entertaining way. Listeners will learn how to optimize their content for AI-powered search tools like ChatGPT, Siri, and Google Assistant - without the technical jargon that makes their eyes glaze over.

  1. 2.8 — Industry Adapters: Regulated, Local, Marketplace, and UGC Patterns

    -4 ДН.

    2.8 — Industry Adapters: Regulated, Local, Marketplace, and UGC Patterns

    Not all content is created equal in the eyes of answer engines. Healthcare claims need medical credentials. Local services need geographic precision. Marketplace listings need comparison-ready data. Community forums need quality signals.In this episode, we break down advanced  AEO blueprints for five critical industry verticals:  Regulated industries (healthcare, finance) Local service businesses • Marketplace catalogs User-generated content platformsYou'll learn: How to add verification markers for regulated content Geographic specificity patterns for local services Product attribute structuring for marketplaces Reputation signals for UGC platforms Industry-specific schema markup patternsMentioned in this episode: Episode 2.6 on E-E-A-T signals Season 1 Episode 3 on Structured Data Season 1 Episode 9 on FAQ structuring Episode 2.1 on Entity Graphs Visit AEODecoded.ai for show notes, transcripts, and bonus resources.Questions? Email garycrossey@irishguy.us

    27 мин.
  2. 2.7 — Resilience Engineering for AEO

    12 ФЕВР.

    2.7 — Resilience Engineering for AEO

    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  AEODecoded.ai/ for show notes and bonus content • Subscribe for weekly episodes • Send questions to admin@irishguy.us Hosted by Gary Crossey | Making AI search optimization simple and actionable.

    26 мин.
  3. 2.6 — E-E-A-T for Answer Engines: Building Trust Signals That AI Systems Recognize

    5 ФЕВР.

    2.6 — E-E-A-T for Answer Engines: Building Trust Signals That AI Systems Recognize

    🎙️ 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 AIHow answer engines evaluate E-E-A-T signals differently than traditional searchPractical strategies to build trust signals that AI systems recognizeThe role of citations, credentials, and external validation in AEOHow to structure author bios and content to maximize credibilitySpecial 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 signalsYour digital footprint across the web matters for AI citation decisionsConsistency in expertise demonstration builds long-term authorityTrust signals must be machine readable and contextually clearMilestone 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 guidelinesReference to Episode 5 on foundational AEO conceptsSubscribe 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

    31 мин.
  4. 2.5 — Multimodal Evidence Design for LLMs

    29 ЯНВ.

    2.5 — Multimodal Evidence Design for LLMs

    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

    25 мин.
  5. 2.4 RAG-aware content patterns

    22 ЯНВ.

    2.4 RAG-aware content patterns

    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.

    27 мин.
  6. 2.3 Conversation Patterns – Map Follow-Up Questions to Win AI Citations

    15 ЯНВ.

    2.3 Conversation Patterns – Map Follow-Up Questions to Win AI Citations

    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 funnelsThe art of conversation-aware internal linking that guides AI systemsTechniques for testing your conversation patterns with real AI systemsCommon pitfalls that break conversation architecturePractical answers to your burning questions in our Q&A Lightning RoundThis 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

    31 мин.
  7. 2.2 Advanced Schema Stacks

    8 ЯНВ.

    2.2 Advanced Schema Stacks

    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.

    32 мин.
  8. 2.1 Entity graphs in practice

    1 ЯНВ.

    2.1 Entity graphs in practice

    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 clustersHow to create effective disambiguation pages for your core entitiesBuilding relationship pages that map connections between conceptsInternal linking strategies that reinforce your entity graphHow entity graphs work in harmony with structured dataYour action: identify your top 5 core entities and create disambiguation pages for them this week. Resources Mentioned: Season 1, Episode 4: Entity OptimizationSeason 1, Episode 3: Structured DataVisit aeodecoded.ai for more resourcesNext Week: Episode 2.2 Advanced Schema Stacks and Harmonizations

    26 мин.
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A bite-sized, charm-filled podcast that demystifies Answer Engine Optimization (AEO) for everyday content creators. Each 5-10 minute episode breaks down one key AEO concept in an accessible, entertaining way. Listeners will learn how to optimize their content for AI-powered search tools like ChatGPT, Siri, and Google Assistant - without the technical jargon that makes their eyes glaze over.

Информация

  • Автор
    Gary Crossey
  • Годы выхода
    2025 - 2026
  • Выпуски
    19
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © 2025 Copyright
  • Сайт подкаста
    AEO Decoded