AISEOCourse.academy Start Lesson 2.1

Module 02 · 4 lessons

Understanding AI Search

AI-generated answers are new placements built on the search stack you learned in Module 1. This module covers what the surfaces are, how generated answers get their sources, what makes a source eligible, and why the same question produces different answers on different days. Facts about Google surfaces cite Google's documentation; where mechanics are not public, the lesson says so and teaches observable behaviour instead.

Lessons 4 lessons
  1. 2.1 Google AI Overviews and AI Mode
  2. 2.2 How Language Models Retrieve and Choose Sources
  3. 2.3 AI Citations and Source Eligibility
  4. 2.4 Query Fan-Out and Answer Variability

Prerequisite: Module 1. By the end of this module you can describe how an AI answer is assembled, what separates an eligible source from a cited one, and why measurement needs repeated runs.

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