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Notes on being found and understood

Search engines and AI assistants both work from the same raw material: the information a business publishes about itself. These articles cover how to organize that information so it holds up in both places.

Signal nodes converging into a single cited answer panel

GEO3 min read

How AI Assistants Decide Which Sources to Cite

AI answer engines pull from a small pool of pages they consider clear and reliable. Here is what pushes a business into that pool, and what quietly keeps it out.

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A plain text file panel listing linked site sections

GEO2 min read

What Is llms.txt, and Does Your Site Need One?

llms.txt is a proposed plain-text file that hands AI systems a clean map of your most important pages. Here is what it does, what it does not do, and whether it is worth your time.

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Referral streams from separate sources merging into one measurement panel

Analytics3 min read

How to Track Traffic Coming From AI Assistants

Visits from ChatGPT, Perplexity, and Copilot land in your analytics like any other referral, but only if you know where to look. Here is a setup that takes about an hour.

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A proposal document with several clauses flagged for attention

Working Together3 min read

Nine Red Flags in an SEO Proposal

Some promises are impossible, some pricing structures hide the work, and some contracts leave you unable to walk away. Here is what to look for before signing.

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