GEO and AEO Mastery
Make your brand appear in AI answers across ChatGPT, Perplexity and Google AI. Master SEO foundations, Answer Engine Optimization and Generative Engine Optimization, learn to get cited by AI, measure results, and ship a live capstone and portfolio.
📅
Class scheduleMon, Tue, Wed, Thu, Fri · 9:00 PM - 10:00 PM IST
Mon, Tue, Wed, Thu, Fri · 9:00 PM - 10:00 PM ISTMeets
∞Seats
24Modules
₹14,750Incl. GST
Why learn live, with a cohort
🎤
Live, mentor-led sessionsLearn in real time with Sivaraj C and a batch of peers, not alone with videos. Your trainer shares the class recording if you miss one.🔨
Real projects you shipHands-on projects that go straight into your public portfolio, reviewed by your trainer.🎓
Certificate + visibilityFinish to unlock a verifiable certificate, 5 exam passes and 5 ByteLabs projects, and learn in public to get noticed.What you will learn and build
The full curriculum, module by module, with hands-on project steps along the way.
1
How Search Engines Work & Why SEO Is the Foundation of AEO/GEO
- Hands-On: 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
2
Keyword Research & Search Intent: The Bridge to AEO Content
- Hands-On: 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 theSemantic Neighbors AI expects;
- The Topic Fit Scorecard: Relevance + Authority + Opportunity
3
On-Page SEO: Titles, Headings, Structure & AEO Readiness
- Hands-On: 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
4
Technical SEO: Crawlability, Indexation & AI Crawlability
- Hands-On: 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
5
Off-Page SEO, E-E-A-T & Authority Signals for Parametric Presence
- Hands-On: 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
6
AI Search Landscape & the 2026 Citation Shrinkage Crisis
- Hands-On: 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
7
RAG Architecture, Chunkability & Atoms of Truth
- Hands-On: 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
8
Entity Optimization: Knowledge Graph, EAV & Disambiguation
- Hands-On: 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
9
Topical Authority & Semantic Depth: Pillar-Cluster for AI
- Hands-On: 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
10
AEO Content Structure: Answer-First Framework & Prompt Library
- Hands-On: 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
11
Featured Snippets, PAA Domination & E-E-A-T for AI
- Hands-On: 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
12
Schema for AEO: JSON-LD, FAQ vs HowTo vs Article & EAV
- Hands-On: 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
13
Advanced Schema: Speakable, ClaimReview & Citation Readiness
- Hands-On: 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
14
AI Citation Tracking: Prompt Testing & Velocity Monitoring
- Hands-On: 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
15
AEO Workshop: Full Content Audit + Answer-First Restructure
- Hands-On: 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
16
GEO Content Framework: 6 Citation-Worthy Types & Outline Engineering
- Hands-On: 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 the top and end
17
Digital PR & Authority Building for GEO Parametric Presence
- Hands-On: 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
18
Community Signals, UGC & the Forum-to-FAQ Pipeline
- Hands-On: 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
19
On-Page GEO Optimization & AI-Optimized Content Asset Creation
- Hands-On: 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
20
Case Studies & Service-Page Wins: What Made It Work
- Hands-On: Why case studies are the highest-citation GEO content type;
- The Case Debrief Checklist: before, intervention, after, schema;
- 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
21
Competitive GEO Analysis & AI Share of Voice
- Hands-On: 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
22
Brand Accuracy Audit, Hallucination Management & Parametric Strategy
- Hands-On: 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
23
GA4, GSC, AI Citation Dashboard & Stakeholder Reporting
- Hands-On: 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
24
GEO/AEO as a Career & Service
- Hands-On: 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
Your trainer
S
Sivaraj C
Leads this live cohort on CareerByteCode: sessions, project reviews, and your path to the certificate.
Common questions
Is this live or recorded?
Live, scheduled sessions with your trainer and cohort. Your trainer adds the class recording, files and notes to the classroom afterwards, so you can catch up if you miss one.
What do I get at the end?
Finish the cohort to unlock a verifiable CareerByteCode certificate, 5 exam passes and 5 ByteLabs projects, plus your shipped project work in a public portfolio.
How is the price shown?
The price is the base plus 18 percent GST, shown all-in (₹14,750). You pay securely via Razorpay.
Do I need experience?
Pick a cohort at your level (Intermediate here). Your trainer supports you through every module and project.