This episode is part of the AI Summary series covering the AI Search Manual chapter by chapter. Chapter 13 focuses on how to measure visibility in generative search engines, where the challenge is no longer about keyword rankings but about whether your content shows up inside AI-generated answers.

The discussion covers methods like custom monitoring agents, log file analysis, and tracking AI bots such as GPTBot, ClaudeBot, and PerplexityBot to see when and how they’re retrieving your content. It also explains how to use tools like FetchSERP to capture AI Overviews and AI Mode appearances, build dashboards that track citations over time, and connect retrieval signals to performance outcomes. By the end, you’ll understand how to replace guesswork with data and measure your generative search footprint in a meaningful way.

Read the full chapter at ipullrank.com/ai-search-manual