Field notes
A working library for teams trying to understand how brands appear, get cited, and earn trust in AI answers.
Research on AI search visibility, citations, and measured content change.
Subscribe via RSSAI search visibility is more than a mention count. Learn how to measure the exact surfaces, citations, confidence, and changes that shape how buyers find your brand.
Read the articleSEO helps pages get discovered. Generative engine optimization helps information get selected, understood, and cited inside AI answers. The strongest teams measure both.
Read the articleA citation is not just a URL in an answer. It is a claim about which source shaped the response, under which surface, and with what level of confidence.
Read the articleExplore the library
Guides for building a more measurable, evidence-led AI search program.
A monitoring dashboard should explain what changed, why it matters, and what to do next. Start with the question set and make both answer signals and measurement health visible.
Read the articleThe quality of an AI visibility program depends on the questions it asks. Build a query universe around decisions buyers make, not only around the words your brand owns.
Read the articleA good baseline makes future change interpretable. Define the scope, freeze the execution context, retain traceable evidence, and publish the limits alongside the first score.
Read the articleCompetitive analysis in AI search is not a ranking table. Compare which brands enter the answer, which sources support them, and where the category still lacks useful evidence.
Read the articleAn AI search gap is not automatically a request for another article. Diagnose the missing information first, then choose the smallest page change that can make the answer clearer and better supported.
Read the articleCitation quality is about more than whether a URL appears. Evaluate whether the source is relevant, supports the claim, is current, and gives a reviewer enough context to trust the result.
Read the articleGEO is not a separate publishing trick. Use this checklist to make product information clear, verifiable, and measurable across the questions your buyers actually ask.
Read the articleSee the method in motion
The public sample workspace shows how query coverage, exact surfaces, citations, confidence, and recommendations connect.