AI Visibility Partners

Field Notes

What AI is telling homeowners this month.

Field Notes is where we publish the measurements. Every entry is a real prompt run from a clean session across ChatGPT, Perplexity, Gemini, and Google AI Overviews, with the answer logged verbatim and screenshotted. Some entries are before-and-after records from client work. Some are market-wide studies. All of them show which firms got named, which directories took the citation, and what changed in the content structure to move it.

Study In production

The State of AI Visibility in Remodeling

Ten US metros, four engines, 25 buyer prompts per market. Who gets cited when a homeowner asks an AI assistant who to hire, and how much of the answer space independent firms actually hold.

Austin Brewer · Publishing 2026

Before / after Scheduled

Monthly citation report: what moved and why

One client market, one cycle. The prompts that changed hands, the structural fix that did it, and the answers side by side.

Austin Brewer · Monthly

Method Scheduled

How we run a clean-session prompt set

Why session hygiene, modal answers, and screenshots matter when the thing you are measuring rewrites itself every time you ask.

Austin Brewer · Method note

House style

How is every entry structured?

The same five parts, in the same order, every time. The structure is not a house style flourish. It is what makes a page quotable by an AI engine, and we hold our own writing to the standard we sell.

  1. 01

    Named author

    Austin Brewer, with a one-line bio. Bylines are an authority signal engines read.

  2. 02

    Updated date

    Visible and in Article schema. Content refreshed within 60 days is ~1.9× more likely to be cited.

  3. 03

    Direct answer first

    The first 200 words answer the headline question plainly, with no preamble.

  4. 04

    Evidence exhibits

    Verbatim AI answers and screenshots, labelled with engine, date, and market.

  5. 05

    FAQ block

    Three to five question headers at the end, matching FAQPage schema exactly.

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