# Martenfield

> AI visibility and citation for proptech and commercial real estate software.
> We measure whether AI answer engines cite a company, then publish the
> readable data layer that makes them. Every figure we publish states when
> it was collected, which engines were queried, how many runs per query,
> and which method version produced it.

Method version: v1.0. Engines measured: ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, at 3 runs per query.

Every page below is also served as plain markdown at the .md URL shown.

## Guides

Ordered by buying intent.

- [AI visibility tools compared](https://martenfield.com/guides/ai-visibility-tools-compared.md): 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.
- [What GEO costs in 2026](https://martenfield.com/guides/what-geo-costs.md): Real price ranges for AI visibility and generative engine optimisation work, what sits inside each band, and why anything under $3,000 a month is usually SEO with a new label.
- [How to get cited by ChatGPT](https://martenfield.com/guides/how-to-get-cited-by-chatgpt.md): The mechanism behind citations in generated answers, and the work that actually moves it. Written for people who have already read the listicle version.
- [Does ChatGPT read schema](https://martenfield.com/guides/does-chatgpt-read-schema.md): 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.

## Research

Findings and method notes, newest first.

- [How we measure citation share, method v1.0](https://martenfield.com/research/how-we-measure-citation-share.md): The full method behind every number we publish. Query construction, engine coverage, run counts, what we store, how we parse it, and the four places this method is weakest.
- [Two leads arrived from AI answers, and that proves nothing yet](https://martenfield.com/research/two-leads-and-what-they-do-not-prove.md): A US commercial real estate company found us through ChatGPT. Three weeks later a Zurich proptech company found us through Google. Here is why we are not calling that evidence, and what we are doing to find out.
- [What we did to this site, and why you can check all of it](https://martenfield.com/research/what-we-did-to-this-site.md): 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.

## Services

Prices are published.

- [Audit, $3,500](https://martenfield.com/services/audit.md): We measure where you stand across five engines, map the sources they draw from, and hand you a ranked 90-day roadmap.
- [Build, $12,000 to $18,000](https://martenfield.com/services/build.md): We do the work. A publishing pipeline from your database, source-grade assets, and placements where the source map points.
- [Retainer, From $4,500](https://martenfield.com/services/retainer.md): Weekly tracking, continuous publishing, and source acquisition. For companies treating citation share as a standing metric.

## Optional

- [Full text of everything above](https://martenfield.com/llms-full.txt): single concatenated file.
- [About](https://martenfield.com/about/): who runs this, how we work, who we turn down.
- [Results](https://martenfield.com/results/): redacted outcomes. Currently empty, and says so.