Become the source AI cites.

AI visibility and citation for proptech and commercial real estate software.

Proptech and commercial real estate companies hold the numbers their buyers ask about. Rents, comps, cap rates, absorption, cost benchmarks. Almost none of it is readable by the models those buyers ask first.

We publish the readable layer on top of it, then measure whether the engines start citing it.

Audit, $3,500 Read the method

Measured query

best commercial real estate underwriting software

Engine: ChatGPT
Runs: 3
Method: v1.0

Who the model named

Company	Share of answers	Value
Vendor A		67%
Vendor B		47%
Vendor C		27%
Vendor D		13%
Your company		0%

Where it drew from

Source	Answers citing it	Value
g2.com		73%
capterra.com		60%
softwareadvice.com		40%
reddit.com		33%
propmodo.com		20%

What a measurement is

Engines: 5 ChatGPT, Claude, Gemini, Perplexity, AI Overviews
Runs per query: 3 One run is an anecdote, not a metric
Queries per audit: 50 In your buyers’ words, approved before anything runs
Re-measured at: 90d Same set, same engines, same method version

What you are actually buying

Presence in the shortlist, measured by citation share.

Buyers do not want citations. They want to be in the consideration set when a founder or an analyst asks a model which vendors to look at.

If a model recommends six vendors for your category and you are not one of them, you are not in the shortlist, and no amount of downstream conversion work recovers a buyer who never saw you. Citation share is the leading indicator for that. It is the part we can measure identically before and after, so it is the part we contract on.

Why we believe the mechanism

We were the case study before we were the firm.

We operate REN.PH, a Philippine real estate data platform. In June 2026 a US commercial real estate company found it through ChatGPT and made contact. Three weeks later a Zurich proptech company found the same platform through Google Search. Neither came from advertising or outbound.

Verified nodes: 60k+
Inbound from AI: 2
Spent on ads: $0

The wedge

Competitors sell content and schema. We sell data activation.

Fixing your site helps. Getting you into the sources the models already draw from usually helps more, and it is the part a content retainer does not touch.

Q1 Which sources do the models repeatedly draw from for your category?
Q2 Where do competitors appear that you do not?
Q3 Where are you absent entirely?

Roadmap order follows from the answers. Technical fixes first because they are fast, then source presence because it is slower and worth more, then publishing the data you already hold.

Engagements

Published prices, so the anchoring happens before the call.

Audit $3,500 2 weeks · one-time We measure where you stand across five engines, map the sources they draw from, and hand you a ranked 90-day roadmap. See what it covers → Build $12,000 to $18,000 6 to 8 weeks · project We do the work. A publishing pipeline from your database, source-grade assets, and placements where the source map points. See what it covers → Retainer From $4,500 6-month minimum · per month Weekly tracking, continuous publishing, and source acquisition. For companies treating citation share as a standing metric. See what it covers →

Every engagement contracts on citation share across a named query set over 90 days, measured identically both times, under method v1.0.