A structured study edition covering AI search mechanics, planning, practical execution and measurement. Use this overview to choose a module, then read the full explanations and exercises in the PDF.

MODULE 01

How AI search works

How AI finds and cites content

Understand training data, live retrieval and query fan-out, and why visibility can vary between answers.

Differences between AI search platforms

Explore the different sources and behaviors discussed in the guide.

Types of AI visibility

Distinguish linked citations, unlinked mentions and absence from an answer.

MODULE 02

Strategy

Brand gap analysis

Map your brand and products, assess visibility and identify the gaps worth addressing.

Keyword and prompt research for AEO

Connect audience questions to business value and plan coverage across a topic.

MODULE 03

Execution

Creating content that gets cited

Write useful answers, support claims and keep information substantively up to date.

Earning mentions and citations

Explore editorial, community and owned channels while checking the accuracy of brand mentions.

YouTube optimization for AI visibility

Plan useful searchable videos and make their topics clear through titles, summaries and chapters.

The technical side of AEO

Review crawler access, rendering, speed, HTML and URL availability. The guide also discusses schema and llms.txt.

MODULE 04

Measurement

Tracking your AI visibility

Combine referral trends, bot activity and self-reported attribution.

ROI, progress and your action plan

Review changes over time, connect activity to business outcomes and prioritize your next actions.

Study, review, then put it into practice.

Read one lesson at a time. Review the key takeaways, cover the answers to the review questions, and test what you remember.

  • Key takeaways and full lesson explanations
  • Review questions with answers
  • A numbers cheat sheet and glossary
  • A printable action checklist
Download the complete study guide ↓
About this resource

This PDF describes itself as a study edition built from a course transcript and uses Ahrefs tools in its examples. Statistics in the document are quoted from the course and reflect its stated recording period, late 2025 to early 2026; they are not presented here as independently verified current figures. This page summarizes the supplied guide; the complete PDF is provided unchanged.

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