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A practical fifteen-point website checklist, whether you sell stuff or not. Gary Crossey walks through accessibility, privacy, payments, pricing, shipping, returns, reviews, and customer trust, with clear action items for your business. Get the printable checklist: The 15 Web Standards — printable checklist Read the companion blog post: The 15 Web Standards Every Website Should Meet Standards covered AccessibilityTerms and conditionsPrivacy policyBusiness contact informationCookie policy and tracking consentCopyrightClear button labelsSecure payment and data protectionShipping and delivery policyRefund and return policyClear pricingIndustry-specific complianceLegal disclaimersPromotional disclosuresGenuine reviewsGetting your Google review link and QR code On a computer, open your Google Business Profile. Select Read reviews, then Get more reviews, and copy your review link. Google also shows a QR code there: right-click it and choose Save image as. Test both before sharing. Google’s current steps Links mentioned Your Europe: How to use cookies on your websiteEuropean Commission: Who GDPR applies toGoogle: Tips to improve your local rankingW3C: Web Content Accessibility Guidelines (WCAG)FTC: Consumer Reviews and Testimonials Rule Q&AGoogle: Prohibited and restricted content (reviews)General guidance, not legal advice. Requirements vary by jurisdiction, industry, audience, and business model.

In this episode, we're diving into AEO content auditing—finding the quick wins hiding in your existing pages. You don't need to start from scratch. Most sites are sitting on content that's already close to working in AI systems; it just needs tightening and smarter structure. We walk through a practical, six-step audit framework you can run in a spreadsheet: Step 1: Build your audit tracker with columns for URL, Page Title, Primary Topic, Word Count, and Last UpdatedStep 2: Add structural health checks—Schema Status, H1 Present, H2/H3 Structure, and Internal LinksStep 3: Run the "answer location test" to see if your best answer sits above or below the foldStep 4: Test AI citation behavior with columns for AI Citation Status, Summary Accuracy, Fact Extraction Quality, and What BrokeStep 5: Check RAG optimization—Will lifting your content in chunks preserve its meaning? Add columns for chunking status and reason.Step 6: Audit evidence and attribution—does your page give AI systems a reason to trust and cite you?This isn't glamorous work, but it's where the easiest wins are hiding. Fix the pages that are close but failing, and you'll start seeing citations, quotes, and visibility—without rewriting your entire site. Spreadsheet Labels Mentioned: URLPage TitlePrimary TopicWord CountLast UpdatedSchema StatusH1 PresentH2/H3 StructureInternal LinksAnswer LocationAI Citation StatusSummary AccuracyFact Extraction QualityWhat Broke?Chunking (Step 5 Result)Chunking Reason (Step 5 Reason)

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

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.

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 [email protected] — 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.

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!

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 [email protected]

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 [email protected] Hosted by Gary Crossey | Making AI search optimization simple and actionable.

🎙️ 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

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 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

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 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

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.