AEO Decoded

Gary Crossey
  • 0.0（0）
  • ハウツー

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. 3.1 Building Your AEO Tech Apps

    3日前

    3.1 Building Your AEO Tech Apps

    Welcome back to AEO Decoded with Gary Crossey. In this episode, we're diving into the essential tech stack you need to execute an effective Answer Engine Optimization strategy. Key Topics Covered: Schema markup tools and validationAI visibility monitoring platformsContent management systems optimized for AEOAI testing playgrounds and prompt librariesAnalytics beyond click-through ratesDocumentation and knowledge managementThe minimum viable AEO tech stack for beginnersNo fluff, no sponsorships—just the practical toolkit you need to implement AEO effectively. Whether you're starting from scratch or scaling up your existing strategy, this episode gives you the technological foundation to make AEO work in practice. Related Episodes: Episode 2.1: Entity-First OptimizationEpisode 2.3: Conversation Design PrinciplesEpisode 2.10: Operating Cadence and Organizational ImplementationNext Episode: Episode 3.2 - Content Auditing for Quick AEO Wins

    19分
  2. 2.11 Twenty Principles for AEO (Answer Engine Optimization)

    3月12日 · ボーナス

    2.11 Twenty Principles for AEO (Answer Engine Optimization)

    Season 2 Bonus Recap: Advanced AEO Strategies Welcome to a special bonus recap of AEO Decoded Season 2. This episode pulls together all 10 advanced episodes into one actionable system you can start using today. What You'll Learn: The 20 core AEO principles from Season 2, distilled into three layers: foundational and maintenanceHow entity graphs, schema harmonization, and RAG patterns work togetherMultimodal evidence strategies and E-E-A-T signals tuned for AIOperating cadences and resilience engineering to keep your AEO system runningOne action you can complete this week to build your AEO foundationKey Topics Covered: Entity graphs in practiceSchema harmonization and vocabulary stackingRAG-aware content designPassage-level optimization and chunking strategiesMultimodal evidence and captions as claimsE-E-A-T for LLMsFreshness, versioning, and change logsRedirect hygiene and resilience engineeringIndustry adapters for compliance-sensitive fieldsShare of answers, accuracy QA, and AEO scorecardsOperating cadence and runbook creationThis episode is for you if: You listened to Season 2 and want a merged reference guideYou're new to AEO and want the advanced playbook in one placeYou're ready to move from theory to implementationWhat's Next: Season 3 launches next week! I'll be taking a new site and applying these 20 AEO principles in real time, reporting back on what works, what doesn't, and what changes we see.

    38分
  3. 2.10 Putting it together: Your AEO operating cadence

    3月5日

    2.10 Putting it together: Your AEO operating cadence

    In this Season 2 finale of AEO Decoded, Gary Crossey reveals the operating cadence that turns AEO from a one-time project into a sustainable competitive advantage. This episode covers: The quarterly audit framework: entity graph maintenance, schema harmonisation, multimodal evidence reviews, and conversation tree expansionMonthly analytics rhythms: What to track, how often, and what to do when the numbers shiftOwner roles and runbooks: Who does what, and how to make it repeatable without burning out your teamReal-world implementation: How to start small, build momentum, and scale your AEO operations sustainablyGary answers listener questions about convincing stakeholders, running AEO with lean teams, tracking the right metrics, and avoiding the biggest mistakes teams make when building their cadence. Your one action this week: Schedule your first quarterly AEO audit. Pick one audit type, block off two hours, create a simple runbook, and document what you find. Plus: A preview of next week's Season 2 recap and what's coming in Season 3. Related Episodes: Episode 8: AEO Analytics: Measuring Success in the Age of AI SearchEpisode 10: Measuring AEO Success: Beyond Traditional MetricsGot questions? Email admin@irishguy.us — Gary reads every message and features the best ones on the show. Subscribe now on Spotify, Apple Podcasts, or your favorite podcast platform to catch the Season 2 recap and be first to hear Season 3.

    16分
  4. 2.9 Measurement beyond clicks: AI presence, passage‑level lift, and accuracy QA

    2月26日

    2.9 Measurement beyond clicks: AI presence, passage‑level lift, and accuracy QA

    In this episode of AEO Decoded, Gary Crossey explores how to measure AEO success beyond traditional clicks and traffic metrics. Learn the three core components of effective measurement: AI presence (are you showing up in answers?), quality (are you being represented correctly?), and business impact (is it changing outcomes?). Gary breaks down practical approaches to tracking your share of answers, scoring quality with a simple three-point scale, and identifying downstream business signals like branded search growth, better leads, and shorter sales cycles. In the Q&A Lightning Round, Gary answers listener questions about proving ROI when traffic is flat, tracking AI presence without expensive tools, preventing brand misrepresentation, and reporting to leadership when attribution is messy. Your actionable item this week: Build a 10-question "Share of Answer" baseline and score each answer for presence, quality, and business impact. Then pick one "Okay" or "Bad" result and fix the passage on your site that should get quoted. This is the penultimate episode of Season 2 — tune in next week for the Season 3 announcement!

    14分
  5. 2.8 Industry Adapters: Regulated, Local, Marketplace, and UGC Patterns

    2月19日

    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分
  6. 2.7 Resilience Engineering for AEO

    2月12日

    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分
  7. 2.6 E-E-A-T for Answer Engines: Building Trust Signals That AI Systems Recognize

    2月5日

    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分
  8. 2.5 Multimodal Evidence Design for LLMs

    1月29日

    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分
すべて見る（23）

番組について

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.

情報

  • クリエイター
    Gary Crossey
  • 配信期間
    25年 - 26年
  • エピソード
    23
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © 2025 Copyright
  • 番組のWebサイト
    AEO Decoded

その他のおすすめ