Resources
Learn how answers are won.
Practical research and playbooks for measuring AI visibility, earning citations and building an AEO operating rhythm.
How to measure AI visibility (a practical method)
A step-by-step method for measuring whether AI assistants name your brand: build a prompt set, sample answers, score share of voice, sentiment and citations, and track it over time.
ResearchChatGPT vs Perplexity citations: how the two differ
Perplexity cites by default and links heavily; ChatGPT cites when it retrieves. Here is how citation behaviour differs between them and what it means for your content.
ContentHow to write a page AI answers will actually cite
The structural traits that make a page easy for answer engines to quote: a direct answer, question headings, named entities, verifiable evidence, schema and visible dates.
MeasurementWhy confidence intervals belong in every AI visibility report
A score without uncertainty is confidence theatre. Learn how sample size and variance change what an AI visibility metric can tell you.
StrategyFrom keyword lists to answer landscapes
Keywords describe queries. Answer landscapes show the questions buyers ask AI engines and which brands get cited in the replies.
TechnicalWhat server logs reveal about AI crawlers
Your CDN and server logs record which AI crawlers visit, what they fetch and how often. Here is how to read that signal.
ResearchHow citations shape the generated shortlist
Answer engines compress markets into a handful of named brands. Citation patterns reveal which sources decide who makes that shortlist.