# Two leads arrived from AI answers, and that proves nothing yet

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.

Source: https://martenfield.com/research/two-leads-and-what-they-do-not-prove/
Published: 2026-07-31
Type: note

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In June 2026 a commercial real estate company in the United States found
[REN.PH](https://ren.ph) through ChatGPT and made contact. Three weeks later a
proptech company in Zurich found the same platform through Google Search.
Neither came from advertising. Neither came from outbound. Both arrived because
something they asked a machine returned us.

That is the story this firm was started on. It is also two data points, and we
would rather write down what is wrong with it than let it sit on a homepage
doing work it has not earned.

## What is wrong with it

**Two is not a sample.** Any business operating long enough accumulates a
handful of inbound enquiries with an unusual origin. Two in one quarter is
consistent with a real mechanism and equally consistent with coincidence, and
nothing about the size of the number distinguishes those.

**We did not capture the query.** Neither contact was asked what they typed
before they typed it. The ChatGPT lead told us how they found us in passing, not
in response to a question we had designed to be answerable. We have a claim
about a channel and no record of the input.

**We are the interested party.** We now sell a service premised on this
mechanism. That is exactly the position in which people find patterns in two
data points.

**Survivorship.** We know about the two who made contact. We know nothing about
how many were shown a competitor instead, which is the number that would
actually tell us whether the mechanism favours us or is simply noisy.

## Why we still think it is a mechanism

Not because of the count. Because of what REN.PH is.

It is a national property dataset with more than 60,000 verified nodes, built
with entity architecture, provenance tracking, verification, and freshness
systems in place, because a dataset of that shape does not function without
them. It happens to be exactly the structure a retrieval system can read and
quote: specific figures, stated provenance, dated records, resolvable entities.

We did not build it to be cited. It was built to be correct, and being cited
appears to be downstream of being correct in a machine-readable way. That is a
hypothesis with a plausible mechanism behind it, which is a better starting
position than a correlation with none. It is still a hypothesis.

## What we are doing about it

Three things, none of them expensive, all of them running now.

**Reconstruct the first query.** We have gone back to the US contact to ask
what they actually typed. If they remember, we can run it ourselves and see
whether the result is reproducible or whether we caught a lucky generation.

**Capture discovery source on everything.** Every inquiry form across every
property we operate now asks how the buyer found us, referrers are logged, and
the question gets asked on every sales call. This costs effectively nothing and
compounds automatically. Every AI-sourced enquiry from here is a data point we
actually recorded rather than one we reconstructed from memory.

**Measure ourselves.** martenfield.com went into the same tracking pipeline we
sell, on day one, against its own query set: proptech AI visibility, GEO agency
proptech, how do proptech companies get cited by ChatGPT, AI visibility audit
commercial real estate.

We expect the early results to show we do not appear. We are going to publish
them anyway, because a firm that publishes its own bad baseline and then the
improvement is running the most credible case study available to it, and it is
the one client whose permission we do not need.

## The threshold

We will publish the running count of AI-sourced enquiries once it clears five,
and we will publish it whether or not it supports the thesis. If it stalls at
two, that gets written up here too.

There is a version of this business that grows by repeating the two-lead story
with more confidence each time. It would probably work for a while. It is not
the one we are interested in running, because the entire product is telling
companies the truth about numbers they would rather were higher, and you cannot
sell that from a position of having flattered your own.

So: two leads. Interesting. Not evidence. Ask us again in a quarter, and we
will have either more of them or an explanation of why not.