Mastering Answer Engine Optimization with the AVET Framework:
Course Curriculum
Course Overview
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Price: USD 550
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Duration: 10 weeks (1 module per week, ~2-3 hours/module)
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Format: Online, self-paced with weekly assignments
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Target Audience: Digital marketers, content creators, SEO professionals, small business owners
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Learning Outcome: Participants will master the AVET framework to create and optimize content for AI-driven answer engines (e.g., Perplexity AI. CoPilot, Gemini, Grok, ChatGPT), improving visibility and engagement.
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Prerequisites: Basic understanding of SEO and content creation
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Materials: Slide decks, AVET checklist, case studies, templates
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Module 1: Introduction to Answer Engine Optimization (AEO) and AVET
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Objective: Understand the shift from SEO to AEO and the role of the AVET framework.
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Topics:
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Evolution of search: From Google to AI-driven answer engines
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Why AEO matters: Stats and trends (e.g., 30% web traffic from LLMs by 2026)
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Overview of AVET: Authority, Value, Experience, Trustworthiness
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Case study: How a blog doubled AI search visibility with AVET
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Activities:
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Quiz: SEO vs. AEO differences (10 questions)
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Discussion: Identify 3 websites you want to optimize during the course
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Duration: 2 hours
Module 2: Building Authority for AI Search
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Objective: Learn how to establish content authority to rank higher in LLM results.
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Topics:
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What LLMs look for in authoritative content (e.g., backlinks, author credentials)
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Strategies: Expert quotes, primary sources, domain reputation
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Tools: Google Scholar for citations
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Common mistakes: Overreliance on low-quality links
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Activities:
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Exercise: Audit a website’s backlinks
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Assignment: Draft an author bio for a blog post (100 words)
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Duration: 2.5 hours
Module 3: Delivering Value to Meet User Intent
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Objective: Create content that aligns with user queries for maximum relevance.
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Topics:
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Understanding user intent: Informational, navigational, transactional
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Techniques: Keyword research for AEO, answering “why” and “how” queries
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Structuring content: Problem-solution format, FAQs
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Case study: E-commerce site’s product page optimized for value
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Activities:
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Exercise: Identify 5 high-intent queries for your niche using AnswerThePublic
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Assignment: Write a 300-word FAQ section for a sample topic
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Duration: 2.5 hours
Module 4: Enhancing User Experience for Engagement
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Objective: Optimize content for usability and engagement to boost AEO performance.
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Topics:
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Key experience factors: Readability, mobile-friendliness, load speed
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Design principles: Clear headings, bullet points, visuals
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Metrics LLMs may track: Bounce rate, dwell time
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Tools: Google PageSpeed Insights, Hemingway Editor
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Activities:
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Exercise: Analyze a webpage for readability and mobile optimization
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Assignment: Redesign a 500-word blog post with improved formatting (submit as Google Doc)
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Duration: 2 hours
Module 5: Establishing Trustworthiness for LLMs
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Objective: Build trust signals to enhance content credibility in AI search.
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Topics:
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Trustworthiness markers: SSL, privacy policies, verified authorship
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Importance of transparency: Source citations, disclaimers
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Handling sensitive niches (e.g., health, finance)
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Case study: News site’s trust overhaul for AI visibility
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Activities:
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Exercise: Audit a website for trust signals (use checklist provided)
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Assignment: Add 3 trust elements to a sample landing page (e.g., citations, author bio)
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Duration: 2 hours
Module 6: AVET Scoring and Content Auditing
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Objective: Learn to evaluate content using the AVET framework.
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Topics:
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Creating an AVET scoring system (0-100 scale)
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Weighting factors: Authority (30%), Value (30%), Experience (20%), Trustworthiness (20%)
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Conducting a content audit: Step-by-step process
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Activities:
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Exercise: Score a sample blog post using the AVET tool
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Assignment: Audit one of your chosen websites and submit a 1-page report
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Duration: 2.5 hours
Module 7: Creating AVET-Optimized Content
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Objective: Apply AVET principles to write new content from scratch.
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Topics:
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Content planning: Topic selection, outline creation
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Writing for AVET: Incorporating authority, value, experience, trustworthiness
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Templates: Blog post, product page, whitepaper
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Balancing AI and human appeal
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Activities:
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Exercise: Create a 500-word blog post outline using AVET principles
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Assignment: Write a 1,000-word AVET-optimized blog post (submit for feedback)
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Duration: 3 hours
Module 8: Retrofitting Existing Content for AVET
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Objective: Optimize legacy content to meet AVET standards.
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Topics:
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Identifying underperforming content: Analytics and AVET scores
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Retrofitting techniques: Adding citations, improving readability, updating facts
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Measuring impact: Traffic, rankings, engagement
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Case study: SaaS company’s 20% traffic boost via retrofitting
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Activities:
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Exercise: Retrofit a 500-word sample article (provided)
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Assignment: Retrofit one page from your website and report AVET score improvement
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Duration: 2.5 hours
Module 9: Measuring and Tracking AEO Success
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Objective: Monitor and analyze AVET-optimized content performance.
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Topics:
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Key metrics: AI search visibility, click-through rates, conversions
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Tools: Google Analytics, Search Console, custom AEO trackers
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Interpreting LLM feedback: Query responses, answer inclusion
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Iterating based on results
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Activities:
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Exercise: Set up Google Analytics goals for a website
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Assignment: Create a 1-page dashboard for tracking AEO performance
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Duration: 2 hours
Module 10: Scaling AVET and Future Trends
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Objective: Develop a long-term AEO strategy and stay ahead of trends.
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Topics:
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Scaling AVET: Team training, automation tools
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Integrating AVET with other marketing channels (e.g., social media, email)
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Future of AEO: Voice search, multimodal LLMs
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Building an AVET-based business: Consulting, certifications
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Activities:
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Exercise: Develop a 6-month AVET strategy for your website
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Final Project: Present a full AVET optimization plan for one website (2-page report + 5-minute video)
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Duration: 3 hours