Why Placy · the neutral supply layer

The layer is being built.The only question is who owns it.

Everyone is racing to make property readable to AI. The incumbents are doing it as private, single-source walled gardens. Placy is doing it as one open, neutral rail — the one thing a set of walled gardens structurally cannot be.

Opens a short prefilled email — agency name, markets, listing count. No forms, no gate.


The map

The whole contest fits in four squares

Two questions sort every player: does it push a structured feed or try to read the live page, and does it serve one source or all of them. Real estate has filled three squares. The fourth is the one that matters.

Single-source Neutral
Structured feed

Structured feed · Single-source

  • Portals’ private ChatGPT apps
  • Kleio (Orpi)
  • Zillow-in-ChatGPT

Structured feed · Neutral

  • Placy
  • Shopify Catalog
  • PayPal Store Sync
Read-the-page

Read-the-page · Single-source

— (empty in real estate)

Read-the-page · Neutral

  • Rye
  • Exa
  • Parallel
The neutral + structured square is the one that is empty in real estate — and the one AI platforms actually want.

The field, named

The competition, treated honestly

We would rather you hear the competitive landscape from us, accurately, than from anyone else, vaguely. Three camps are building the same layer we are — here is what each one gets right, and where each one stops.

The incumbent portals

idealista, Hemnet, Rightmove, Zillow — each is answering AI demand with its own private widget. Zillow’s ChatGPT app is architected so the data never trains the model and every action routes back to Zillow: offense in the marketing, pure defense in the architecture. An AI platform would need to integrate fifty of them.

Kleio (Orpi, France)

The closest competitor in shape — the only network-scale, machine-readable, multi-platform feed, covering 1,250 Orpi agencies. It proves the model works. But it is single-vendor, welded to one network, and France-only today. Kleio is the competitor we clock.

The scrape camp

Rye, Exa and Parallel are well-funded philosophical rivals: don’t push a feed, read the live page on demand. We take them seriously. But real estate is exactly where that bet breaks — listings sit behind JavaScript walls and bot-blocking WAFs, duplicated across portals, and go stale without notice.

  • ~601 walled-garden AI integrations mapped
  • ~63%1 of that activity landed in 2026 H1
  • ~50 of 601 run through ChatGPT as the surface
  • 01 network-scale walled gardens outside France

¹ Placy walled-garden census (Study 2), 2026.

The moat

Neutrality across sources is the one thing a set of walled gardens can never be.

— and the one thing AI platforms most want. The durable moat is licensed, neutral supply, not technology.

Get your listings AI-ready

Opens a short prefilled email — agency name, markets, listing count. No forms.


Proof from next door

The model already works in the verticals beside us

AI should “help people make informed choices, not make the decisions.”
CTO, Hemnet Group, Jun 2026

Even the walled gardens agree on the scope. AI finds and filters. A human confirms.

  • Retail

    Shopify Catalog

    Messy per-merchant data, cleaned and deduplicated into one canonical live catalog, syndicated to every AI surface — and the merchant stays merchant-of-record. Catalog-powered AI search converts ~2x2 better than AI working off scraped data.

  • Payments

    PayPal Store Sync

    A neutral payments network that owns no storefront rebuilt the same one-feed-to-every-AI model — and absorbs the per-platform data-rights negotiation for merchants. Direct proof that a neutral layer which doesn’t own the storefront can own the distribution layer.

  • Autos

    CarEdge

    The live 1:1 proof in another vertical: licensed listings, attributed leads sent directly to dealers, and revenue from the qualified lead — a referral model, not ad impressions. Almost exactly Placy’s playbook, running in autos today.

Placy is Catalog for real estate — opt-in everywhere, lead handoff instead of checkout.

² Shopify Q1 FY2026 earnings. AI is still <1% of retail traffic, so the 2x rides a small base. The direction — structured beats scraped — is what’s proven.


The honest thesis

The honest thesis.

Why now

The supply layer is being built in 2026: ~63%3 of all dated walled-garden activity lands in 2026 H1, and the curve is still climbing. Yet the agency layer is open in every one of the 333 mapped markets except France — Orpi’s Kleio is the only network-scale exception. And access technology is commoditizing (Web Bot Auth is becoming free plumbing), so the durable moat is licensed, neutral supply.

³ Placy studies — walled-garden census and agent-network map: ~88 portals · ~330 networks · 33 countries, 2026.

If Placy becomes the neutral, licensed, agent-direct structured-supply layer for European real estate — listings sourced from agencies, published as one open contract, served through an MCP registry with verified identity and provenance — then it wins a defensible share of the agent-readable supply layer by 2027. Because supply is fragmented with no MLS, agencies are motivated to bypass portals, AI-search demand is already routing to whoever exposes structured listings, and access tech is commoditizing — so the durable moat is licensed neutral supply, not technology.

Isn’t this just Kleio?

Kleio proves the model works at network scale — and we say so above. But it is single-vendor, welded to Orpi, and France-only. Placy is neutral and cross-network, and the agency layer is open everywhere Kleio isn’t. Being neutral is the one thing it structurally can’t be.

Won’t the incumbents do it themselves?

They can’t be the neutral layer. Each portal is one silo, and neutrality is against their interest — Zillow’s own ChatGPT app is engineered so the data never trains the model and every action routes home. An AI platform wants one rail, not fifty widgets.

Is there real demand?

It is here and measurable: idealista launched its own app inside ChatGPT4, Hemnet shipped AI conversational search5, and Rightmove is re-platforming search on Google Gemini6. The question is no longer whether demand exists — it is who owns the supply layer that serves it.

How big is this really?

We won’t sell the $300B–$1.4T “AI in real estate” figure — that’s TAM theater, bundling smart buildings and back-office AI. The honest anchor is global PropTech at ~$40–47B7, and the economic model is CarEdge’s: licensed listings, revenue from the qualified lead — a referral model, not ad impressions.

idealista newsroom, Mar 2026. Hemnet Group, Jun 2026. Google Cloud blog, 2026. Global PropTech market, 2025 — clustered across four independent research firms.

What we don’t know yet

Two gaps, stated plainly. There is no independent, real-estate-specific benchmark for AI-referral conversion — we treat cross-vertical evidence as the leading indicator, nothing more. And European consumer data is thin: the US is a 2–4 year leading indicator, never a proxy for Europe.

How we’d know we’re wrong

We publish our kill criteria. If any of these holds, the thesis fails:

  1. AI platforms standardize on bilateral portal deals, and agencies don’t defect at scale.
  2. A single vendor or an MLS-style governance play captures the agent-direct layer first.
  3. Agent-direct supply proves too thin for AI platforms to prefer it over portals.

We test each of these deliberately and early.


Dogfood

Why this site is static

This page is pure static HTML. Every word is readable by a non-rendering agent: semantic markup, schema.org JSON-LD on every page, and /llms.txt and /agents.md served at the root. If we’re asking European real estate to become machine-readable, our own site goes first.

The window is open. It won’t stay open.

The agency layer is still open almost everywhere. Get on the rail — or ask us anything above.