StretchLearn Course

Get cited inside the answer, not lost on page two

Answer Engine and Generative Engine Optimization for AI Overviews, ChatGPT, Perplexity, and Gemini — built step by step for beginners.

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Beginner9 hrSelf PacedRegistered

Course Overview

What this course is designed to develop

Search is shifting from a list of ten blue links to a single synthesized answer, and roughly 60% of Google searches now end without a click. This course teaches Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO): the concrete content patterns, structured-data markup, and prompt-intent mapping that get a brand cited inside AI-generated answers. You will leave able to audit a page for AI-citation readiness, build a FAQ and entity strategy, and track your share of voice across Google AI Overviews, ChatGPT, Perplexity, and Gemini.

Learning Outcomes

What the learner should be able to understand, build, or execute.

Explain how AI Overviews, ChatGPT, Perplexity, and Gemini retrieve, rank, and cite web sources

Map prompt intent and conversational queries to answer-ready page structures

Write extractable, citation-friendly answers using the inverted-pyramid and chunking patterns

Implement FAQPage, Article, Organization, and Product structured data that supports LLM citation

Build entity and topical authority signals that AI engines trust, including E-E-A-T elements

Measure AI share of voice and citations using tools such as Profound, Otterly, and server log analysis

Curriculum Preview

Inside the curriculum: a structured path from fundamentals to execution.

Preview the course structure, see how the modules build on one another, and understand the path this program is designed to take you through.

Module 1

Module 1: How AI Answer Engines Actually Choose Sources

Understand retrieval-augmented generation, the difference between AEO and GEO, and how each major engine picks the pages it quotes before you change a single word.

3 lessons

From Ten Blue Links to One Synthesized AnswerContent · 45 min

Preview Enabled

Retrieval-Augmented Generation in Plain EnglishContent · 45 min

LMS Access

Four Engines, Four Sourcing BehavioursContent · 45 min

LMS Access

Module 2

Module 2: Prompt-Intent Mapping and Answer-Ready Content

Turn the conversational, question-shaped queries people type into AI engines into page structures that get extracted and quoted.

3 lessons

Researching Conversational and Question QueriesContent · 45 min

LMS Access

Matching Intent to Page and Passage StructureContent · 45 min

LMS Access

Writing Extractable, Citation-Friendly AnswersContent · 45 min

LMS Access

Module 3

Module 3: Structured Data and Entities for LLM Citation

Mark up your content with schema and build the entity and topical-authority signals that make engines confident enough to cite you.

3 lessons

Schema That Helps AI Understand and Quote YouContent · 45 min

LMS Access

Building Entity Clarity and Topical AuthorityContent · 45 min

LMS Access

E-E-A-T and Trust Signals for Generative EnginesContent · 45 min

LMS Access

Module 4

Module 4: Measuring, Tracking, and Improving AI Visibility

Stand up the tools and routines that show whether AI engines are citing you, then run a repeatable loop to grow your share of voice.

3 lessons

Measuring AI Share of Voice and CitationsContent · 45 min

LMS Access

Auditing a Page for AI-Citation ReadinessContent · 45 min

LMS Access

Running a Repeatable AEO and GEO Improvement LoopContent · 45 min

LMS Access

Built for Application

A complete learning path, not a one-off inspiration hit.

This program is designed around progression: focused lessons, structured modules, applied resources, assessments, and a course rhythm that turns information into usable capability.

Answer Engine OptimizationGenerative Engine OptimizationAI Overviewsstructured dataschema markupChatGPT searchPerplexityentity SEO