Bring the evidence, not the pitch

I start with the company's existing public evidence before recommending anything new. I compare the site, profiles, directories, search results, structured data, and AI answers, then I map where the entity becomes unstable. The output is a cleanup plan small enough to implement without turning the whole firm upside down.

I take on AI-search entity hygiene, knowledge-graph cleanup, structured-data planning, source-of-truth architecture, and AI answer monitoring. I am most useful when a firm sells expertise and the market needs to understand exactly who it is, what it does, and which category it belongs in.

I usually reply within three working days. If the enquiry is a poor fit, I will say so plainly rather than stretch the conversation. If it is a fit, I will ask for the sources needed to inspect the problem properly.

A consultation is usually a diagnostic review, followed by a written set of findings and recommended cleaning moves. Larger projects can include monitoring, entity ledgers, schema recommendations, and source-of-truth architecture. Fees are usually in the low-to-mid four figures for a focused review, and higher for deeper cleanup work.

I do not take on mass content production, link schemes, reputation cover-ups, fake reviews, or campaigns built around vague AI visibility promises. I also do not work on problems where the company wants machines to believe something the public evidence cannot support.

I sometimes write or revise factual copy when it is needed to stabilize the entity. I do not begin with content volume. I first check whether the existing facts are consistent, sourced, and machine-readable.