Guide Library

    Guides for getting your brand recommended by AI

    Everything here is built to help marketers, content teams, and AEO teams understand how AI search works, what visibility really means, and how to improve recommendation share across answer engines.

    What You’ll Learn

    How Answer Engine Optimization differs from traditional SEO.

    How AI models mention, frame, and recommend brands.

    What to track if you want to measure AI visibility seriously.

    Which pages cover tools, checkers, software, and search visibility workflows.

    Start Here

    Understand how AI discovers, mentions, and recommends brands

    Start here to understand how AI recommendations work and why some brands show up more often than others.

    Measurement & Monitoring

    Learn how to measure and improve AI search visibility

    These guides help you check visibility, compare tools, and build a repeatable monitoring workflow.

    FAQ

    How to use this guide library

    What should I read first if I am new to AEO?

    Start with What Is AEO, then move into Brand Visibility in AI Search and the search visibility cluster. That sequence gives you the category definition, the measurement framework, and the practical tools.

    Which Honeyb guide is best for evaluating AI visibility tools?

    Start with Search Visibility Tool, then read AI Search Visibility Tool, Search Visibility Checker, and Search Visibility Software. Together they cover category definition, buyer criteria, free checks, and ongoing monitoring.

    Why does Honeyb publish both AEO and brand-monitoring guides?

    Because AI visibility is both a strategic and operational problem. Teams need educational content on AEO and GEO, but they also need practical guidance on brand mentions, citations, visibility checks, and competitor monitoring.

    Want to see your AI visibility instead of just reading about it?

    Run a free visibility check to see how AI models describe your brand right now, then use these guides to decide what to improve next.