Full curriculum
25 sessions. 4 phases. One capstone.
Every session is 100% hands-on, with real tools. Live weekday evenings, 8 PM to 9 PM IST, building from SEO foundations to AEO, GEO, measurement and a full audit capstone.
📚 25 sessions🧩 4 phases + capstone🛠️ real tools
🔍 SEO Foundations Days 1–5 · 5 sessions
01How Search Engines Work & Why SEO Is the Foundation of AEO/GEO
- The crawl to index to rank pipeline every SEO must master
- Why AEO and GEO are built on top of SEO, not replacements
- Search evolution: keyword match to semantic to entity-based AI search
- The crawl-to-citation link: if Google can't crawl it, AI can't cite it
- SERP anatomy in 2026: snippets, PAA, Knowledge Panel, AI Overviews
- Why E-E-A-T is both a Google ranking and an AI citation trust signal
Google SearchSearch ConsoleChatGPTPerplexity
02Keyword Research & Search Intent: The Bridge to AEO Content
- Keyword fundamentals: volume, difficulty, CPC and click potential
- The 4 search intents and why informational intent wins AI citations
- Turning informational keywords into AEO content targets
- Long-tail keywords as AEO goldmines: more specific = more chunkable
- Semantic keyword clusters as the Semantic Neighbors AI expects
- The Topic Fit Scorecard: Relevance + Authority + Opportunity
Keyword PlannerUbersuggestAlsoAskedAnswerThePublic
03On-Page SEO: Titles, Headings, Structure & AEO Readiness
- The dual role of on-page elements in Google ranking and AI citation
- Heading hierarchy as the backbone of AEO: each H2 = one chunk
- The Chunkability principle: every H2 section must stand on its own
- First-100-words rule: lead with the primary entity and its attribute
- Internal linking as PageRank flow and Entity-Edge signal for AI
- The 5 on-page GEO elements: structure, schema, media, links, speed
Screaming FrogRank MathSurfer SEOSearch Console
04Technical SEO: Crawlability, Indexation & AI Crawlability
- The crawl to index to rank to AI-retrieve to AI-cite pipeline
- robots.txt in 2026: GPTBot, ClaudeBot, PerplexityBot and GoogleOther
- Allowing AI crawlers = building Parametric Presence in LLM data
- XML sitemaps, canonicals and redirects: for Google and entity clarity
- Core Web Vitals as a dual signal: ranking + more AI retrieval
- First look at JSON-LD as the bridge to AI-readable content
Screaming FrogSearch ConsoleRich Results TestPageSpeed
05Off-Page SEO, E-E-A-T & Authority Signals for Parametric Presence
- Backlinks and brand mentions as drivers of authority AND presence
- The E-E-A-T framework decoded for AI citation eligibility
- Unlinked brand mentions as a pure GEO / training-data signal
- Wikipedia, Reddit and news coverage as LLM training-data sources
- Digital PR = Parametric Presence building
- Authority signals that work for SEO, AEO and GEO at once
Ahrefs FreeMozGoogle SearchChatGPT
🤖 AEO Deep Dive Days 6–15 · 10 sessions
06AI Search Landscape & the 2026 Citation Shrinkage Crisis
- How the 5 major AI platforms retrieve and cite content differently
- Precise definitions: SEO vs AEO vs GEO and how they relate
- The 2026 Citation Shrinkage and what it means for strategy
- Parametric Knowledge vs Search Augmentation: two pathways
- Why AI search is an influence channel, not just acquisition
- Fine-tuning vs RAG: the enterprise strategy choice
ChatGPTPerplexityGoogle AI ModeBing Copilot
07RAG Architecture, Chunkability & Atoms of Truth
- RAG explained end-to-end: retrieve to augment to generate
- Why only RAG produces citation links (Parametric gives none)
- The Chunkability principle: AI retrieves ~200-word chunks
- Entity + Attribute + Value in every paragraph (the EAV pattern)
- Atoms of Truth: rewriting paragraphs into self-contained units
- The Chunkability Audit process, applied live
ChatGPTPerplexityGoogle AI ModeHemingway
08Entity Optimization: Knowledge Graph, EAV & Disambiguation
- The 'Strings to Things' shift from keywords to entity recognition
- Knowledge Graph anatomy: Nodes, Edges and Attributes
- The EAV model for zero-hallucination AI answers
- Global vs Private Knowledge Graphs and how to influence each
- The Entity Audit: Confidence Score and Entity-Type validation
- The sameAs bridge: Wikidata + Wikipedia + LinkedIn
Knowledge Graph APIWikidataInLinksJSON-LD Playground
09Topical Authority & Semantic Depth: Pillar-Cluster for AI
- Why keyword density fails for probabilistic LLMs
- Semantic Neighbors: sub-entities that prove authority
- Semantic Completeness: becoming the Single Verified Answer
- The Pillar-Cluster architecture as an authority Knowledge Graph
- Building Topical Authority Maps and filling semantic gaps first
- Topic Fit Scorecard for cluster-content decisions
PerplexityInLinksAhrefsNotion
10AEO Content Structure: Answer-First Framework & Prompt Library
- The Answer-First Framework: question to answer to detail to credibility
- Why a 40–60 word direct answer wins snippets AND AI citations
- The Prompt Library for FAQ, sub-question and myth-busting content
- Building question maps from PAA + AlsoAsked data
- The PAA to FAQ schema pipeline
- The Headline + TL;DR loop as a citation magnet
AlsoAskedAnswerThePublicPerplexityChatGPT
11Featured Snippets, PAA Domination & E-E-A-T for AI
- Featured-snippet types and triggers in 2026: paragraph, list, table
- PAA cluster strategy: owning multiple boxes for one topic
- Structuring content that owns a whole PAA cluster
- The deeper E-E-A-T signals AI citation engines look for
- Author entity as an AEO signal: bio, LinkedIn, employer, schema
- The AI content quality checklist
AhrefsSEMrushAlsoAskedSearch Console
12Schema for AEO: JSON-LD, FAQ vs HowTo vs Article & EAV
- Why structured data is the technical foundation of AEO
- The schema decision framework: HowTo vs FAQ vs Article
- Live JSON-LD coding: Article, FAQ and HowTo from scratch
- Encoding the EAV model explicitly in JSON-LD
- Organization schema: knowsAbout, hasCredential, sameAs
- Person schema for author entities + validation workflow
Schema.orgRich Results TestValidatorRank Math
13Advanced Schema: Speakable, ClaimReview & Citation Readiness
- Speakable schema: the highest-impact, most underused type
- Choosing which sections to mark: definitions, stats, answers, claims
- ClaimReview schema for fact-checkable, high-trust content
- BreadcrumbList for AI navigation and Google rich results
- Advanced Organization schema: foundingDate, areaServed, knowsAbout
- Combining Article + FAQ + Speakable on a single page
Speakable DocsRich Results TestValidatorJSON-LD Playground
14AI Citation Tracking: Prompt Testing & Velocity Monitoring
- Why citation tracking is the new rank tracking
- The prompt matrix: definition, comparison, recommendation, how-to
- Weekly testing cadence across 4+ platforms
- Building the citation tracker: platform, prompt, URL, cited text
- Handling Citation Shrinkage: baselining ChatGPT
- Connecting citation data back to content and schema decisions
ChatGPTPerplexityBing AIGoogle Sheets
15AEO Workshop: Full Content Audit + Answer-First Restructure
- The 5-pillar AEO Content Audit framework
- Chunkability, Answer-First compliance and E-E-A-T signal checks
- Schema coverage mapping and PAA alignment
- The effort-vs-impact prioritization matrix for AEO fixes
- Live AEO rewrite of a real volunteer website
- Building an AEO content brief + 15-point pre-publish checklist
Screaming FrogSearch ConsoleAlsoAskedAhrefs
🌐 GEO Framework Days 16–22 · 7 sessions
16GEO Content Framework: 6 Citation-Worthy Types & Outline Engineering
- GEO vs AEO vs SEO: the precise difference and when each applies
- What makes content citation-worthy: specificity, authority, structure
- The 6 content types AI cites most, from definitions to comparisons
- Content Outline Engineering: H2s as main roads, H3s as side streets
- The Read-Aloud test: if it sounds natural, AI will understand it
- TL;DR as a GEO citation magnet: placed at top and end
PerplexityChatGPTSurfer SEOHemingway
17Digital PR & Authority Building for GEO Parametric Presence
- Why digital PR is the highest-ROI GEO strategy
- Authority signals beyond links: press mentions, expert quotes
- The 6-step PR pitch template (under 150 words)
- Building a Quote Bank: vision, trend-reaction, personal-insight
- Identifying PR outlets that are LLM training-data sources
- The PR-to-citation pipeline: how a mention becomes presence
Google NewsHunter.ioHARO / QwotedAhrefs
18Community Signals, UGC & the Forum-to-FAQ Pipeline
- How forums, Reddit and Quora feed LLM training data
- Why UGC builds Parametric Presence without your involvement
- Identifying high-value community platforms for GEO
- The Forum-to-FAQ pipeline: thread to answer to FAQ schema to links
- The Community Prioritization Grid (authority × relevance)
- Authentic contribution rules that avoid spam signals
RedditQuoraLinkedInGoogle Alerts
19On-Page GEO Optimization & AI-Optimized Content Asset Creation
- The 5 on-page GEO elements: structure, schema, media, links, speed
- The full 8-step AI-Optimized Content Asset workflow
- Topic scoring, outline engineering and entity mapping first
- Schema planning before the draft, not after
- Drafting with Atoms of Truth, Answer-First sections and a TL;DR
- Measuring early signals: Perplexity at 7 days, Google AI at 14
PerplexitySurfer SEOSchema.orgCanva
20Case Studies & Service-Page Wins: What Made It Work
- Why case studies are the highest-citation GEO content type
- The Case Debrief Checklist: before, intervention, after, schema
- Deep dive: a real 1,050% sessions / 800K+ AI citations case
- Building service pages that win AI Overviews
- The optimal structure: Definition to How to Benefits to Use Cases to FAQ
- Expert-perspective content with credentials in the same paragraph
ChatGPTPerplexityGoogle AI ModeRich Results Test
21Competitive GEO Analysis & AI Share of Voice
- Why GEO competition differs from traditional SEO competition
- AI Share of Voice: what % of AI answers include your brand
- Building an AI competitive landscape across 3 platforms
- Competitor entity analysis: Confidence Score and schema comparison
- Finding GEO content gaps versus competitors
- Opportunity mapping: Quick Wins, Counter-Attacks, Investments
ChatGPTPerplexityKnowledge Graph APIGoogle Sheets
22Brand Accuracy Audit, Hallucination Management & Parametric Strategy
- Systematically checking what AI says about your brand
- The Accuracy Audit: 10 questions × 3 platforms, scored
- Hallucination types: stale-data, competitor- and entity-confusion
- Building a Parametric Presence strategy: Wikipedia, Reddit, news
- The ~150-review threshold for local AI visibility
- Building a 90-day Parametric Presence calendar
ChatGPTPerplexityGoogle AI ModeNotion
📊 Measurement & Career Days 23–24 · 2 sessions
23GA4, GSC, AI Citation Dashboard & Stakeholder Reporting
- The measurement paradigm shift for AI search
- Identifying AI referral sources in GA4 (Perplexity, Copilot, you.com)
- GSC for AEO: AI-Overview impressions and snippet CTR uplift
- Building a 5-widget live AI Citation Dashboard in Looker Studio
- The 3-tier Business Impact Framework: hard, soft, leading metrics
- Executive-readable reporting and the 1-slide summary
GA4Search ConsoleLooker StudioGoogle Sheets
24GEO/AEO as a Career & Service: Positioning, Pricing & Clients
- The GEO/AEO career opportunity: 2026's scarcest SEO skill
- Positioning as a specialist and building a citation-case portfolio
- Service packages: audit, AEO retainer, AI citation-growth retainer
- Client acquisition: the free AI Visibility Audit as a sales tool
- AI tools for GEO/AEO productivity across the workflow
- The 90-day SEO-analyst-to-GEO/AEO-specialist transition plan
LinkedInClaudeChatGPTGoogle Docs
🏁 Capstone Day 25 · 1 session
25Capstone: Full GEO/AEO Audit, AI Content Asset & 90-Day Roadmap
- A capstone spanning all 4 phases and 24 sessions
- AI Visibility + Entity audits: Knowledge Graph, EAV, sameAs
- AEO Content + Schema audits: chunkability, Answer-First %, Speakable
- Off-Page Authority + Competitive AI SOV across 3 platforms
- A live AI Citation Dashboard and an AI-Optimized Content Asset
- A 90-day GEO/AEO roadmap with weekly milestones and KPIs
All course toolsLooker StudioSlides / CanvaRich Results Test
Life after the program
From the capstone to a premium AI-search service
You finish with a portfolio of citation wins and a certification capstone, then turn GEO/AEO into income and a career.
🏁
A certification capstone
A full GEO/AEO audit, an AI content asset and a 90-day roadmap that prove you can win AI citations.
📁
8 portfolio projects
Real deliverables like a citation matrix, schema pack and share-of-voice study to show clients.
🚀
A GEO/AEO career path
Positioning, pricing and client acquisition to become an in-demand AI-search specialist.
🌐
Grow through our community
Freelancers trained here now work at top MNCs including IBM, Microsoft, Nokia and Cisco, while running parallel earnings through the CareerByteCode freelancing platform.
💰
Turn GEO/AEO into a service
Sell three packages from day one: an AI Visibility Audit, an AEO Retainer and an AI Citation-Growth Retainer, and freelance on the CareerByteCode platform.
Ready to start session 1?
Join the next cohort and build alongside Sivaraj.