Martenfield

Writing

Research and guides.

Research is what we measured and what it does not prove. Guides are the practical version, written for people working in proptech or commercial real estate software.

Research

Findings and method notes, newest first. All research →

  1. How we measure recommendation share and citation share, method v1.1

    The full method behind every number we publish. What the two metrics are and why they are two, query construction, engine coverage, run counts, what we store, how we parse it, and the four places this method is weakest.

  2. One lead arrived from an AI answer, not two, and it still proves nothing

    We published this saying two enquiries came from AI answers. One came from Google, and the other was recommended our service brand rather than our data platform. Two corrections, the one lead a referrer header actually recorded, and why none of it is evidence yet.

  3. What we did to this site, and why you can check all of it

    A firm selling AI citation whose own site is not readable has no argument left. Every technical decision behind martenfield.com, including the ones that cost us something.

Guides

Ordered by buying intent, not by date. All guides →

  1. GEO for proptech

    What generative engine optimisation means for a software company selling into commercial real estate, why the dataset inside your product is the asset, and what we have not measured yet.

  2. AI visibility tools compared

    What Profound, Peec, Otterly, Scrunch, and the rest of the AI visibility tracking category actually measure, and the questions to ask before you buy one.

  3. What GEO costs in 2026

    Real price ranges for AI visibility and generative engine optimisation work, what sits inside each band, and how to tell specialist work from SEO with a new label at any price.

  4. How to get cited by ChatGPT

    The mechanism behind citations in generated answers, and the work that actually moves it. Written for people who have already read the listicle version.

  5. Does ChatGPT read schema

    An honest answer to the question technical buyers ask first. Structured data is not read by the model directly, and it still matters. Here is why both are true.

Start here

Find out whether the models cite you.

The diagnosis measures 50 buyer-intent queries across 5 engines at 3 runs each, maps the sources the models draw from, and hands you the raw runs and the order of work. 2 weeks, $1,200.

See what the diagnosis covers → Email us →