01 / Articles

Field notes for fragmented search.

Practical essays on how businesses show up across AI answers, search results, maps, reviews, paid media, and competitor comparisons.

The goal is a useful library, not a high-volume blog. Each note explains a real visibility problem, the proof behind it, and the operating work it creates.

Published field notes

Start with the working thesis.

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Working queue

What is coming next.

These are the next directions for the article library: model drift, weekly reporting, and how paid search fits when the answer page keeps changing.

01 / Model DriftReporting angle

Each model creates a different competitor map.

ChatGPT, Gemini, Perplexity, and AI Overviews can surface different brands for the same market. Operators need to see that inconsistency before they can act on it.

02 / Operator ReportingOperating cadence

The weekly report should force the next move.

A useful visibility brief does not drown the team in charts. It shows what changed, why it matters, and what should happen next.

03 / Paid SearchChannel mix

SEM still matters when the answer page fragments.

Paid search, landing pages, and local intent still carry demand. The difference is that they now sit beside AI answers, maps, organic proof, and competitor comparisons.