AI Search Visibility: A Practical Discoverability Guide
Build an AI search visibility program with a focused prompt set, clear source information, crawler awareness, and repeatable observations.
7 min readRead the guide
Topic collection
Citation Tracking. Follow the source and review the statement.
Learn how to define a citation, preserve raw source references, calculate a rate with an explicit denominator, and inspect whether a cited page supports the answer. These guides separate domain visibility from factual accuracy and visitor outcomes. Use the examples to design a recording method another teammate can inspect.
Connect the topic to practical work
Read the guides below as a connected learning path. Keep a note of the pages and questions that matter to your own audience, and use the prompt testing kit or GEO audit framework to turn a relevant finding into a scoped task. Each article includes an example, a primary-source reference, and links to related explanations.
AI Citation Tracking: What to Record and How to Measure It
Learn how to track AI citations, define citation rates, review source accuracy, and turn a transparent observation sample into useful actions.
7 min readRead the guide
AI Visibility Metrics: Measure What the Evidence Supports
Separate AI mentions, citations, accuracy, and visitor outcomes. Build reporting with explicit denominators, documented samples, and actionable findings.
6 min readRead the guide