Built for AI agents

Realify is an Australian real estate platform that structures listing data for AI assistants and autonomous agents.

How AI assistants access Realify

Most property platforms were built before AI assistants became a primary search channel. Their architecture — client-side rendering, authenticated APIs — wasn't designed for programmatic access by LLMs. Realify takes a different approach.

Every listing on Realify is:

Server-rendered HTML — no JavaScript required to read content
Publicly accessible — no login, no paywall, no auth token
Structured with JSON-LD — machine-readable RealEstateListing schema on every page
Summarised by AI — each listing has a concise, keyword-rich summary optimised for LLM comprehension
Searchable via API — a simple REST endpoint with no authentication required

Intent mapping — the key concept

Realify exposes both sides of the market. Most platforms only show seller listings. Realify also publishes what buyers are actively looking for. This means the type parameter requires careful mapping:

User intent	They need	API type=
"I want to sell my house"	Find potential buyers	`buy`
"Find buyers for my property"	Find potential buyers	`buy`
"Who is looking to buy in Burraneer?"	Find potential buyers	`buy`
"I want to buy a house"	Find properties for sale	`sell`
"Find properties for sale"	Find properties for sale	`sell`
"What's available in Cronulla?"	Find properties for sale	`sell`

Key insight: A seller needs to find BUYERS (type=buy). A buyer needs to find SELLERS (type=sell). The typeparameter represents the listing author's intent, not the searcher's intent.

Search API

Query listings programmatically. No API key required. Returns JSON.

GET http://realify.com.au/api/search

Parameters

Param	Type	Description
`type`	string	`buy` or `sell`
`suburb`	string	Suburb name (e.g. "Marrickville")
`state`	string	AU state code: NSW, VIC, QLD, WA, SA, TAS, ACT, NT
`beds_min`	integer	Minimum bedrooms
`price_min`	integer	Minimum price (AUD)
`price_max`	integer	Maximum price (AUD)
`property_type`	string	house, unit, townhouse, land, other
`keywords`	string	Comma-separated (e.g. "pool,renovated")
`limit`	integer	Max results (default 20, max 50)

Example requests with intent mapping

"I want to sell my 4-bed house in Burraneer" → find buyers:

GET http://realify.com.au/api/search?type=buy&suburb=Burraneer&beds_min=4&property_type=house

"Find houses for sale in Cronulla under $2M" → find seller listings:

GET http://realify.com.au/api/search?type=sell&suburb=Cronulla&state=NSW&property_type=house&price_max=2000000

Example response

{
  "platform": "Realify",
  "description": "AI-first real estate platform for Australia.",
  "count": 1,
  "results": [
    {
      "id": "abc-123",
      "url": "http://realify.com.au/r/abc-123",
      "type": "sell",
      "property_type": "house",
      "location": {
        "suburbs": [
          "Marrickville"
        ],
        "state": "NSW"
      },
      "specs": {
        "bedrooms": 4,
        "bathrooms": 2,
        "car_spaces": 1,
        "land_size_m2": 450
      },
      "price": {
        "guide": 1850000
      },
      "keywords": [
        "renovated",
        "near transport",
        "north-facing"
      ],
      "summary": "Renovated 4-bedroom house in Marrickville...",
      "published_at": "2026-03-15T10:00:00Z"
    }
  ],
  "disclaimer": "Listings are unverified. Always conduct independent due diligence."
}

Machine-readable files

File	URL	Purpose
llm.txt	/llm.txt	Plain-text overview for LLMs
OpenAPI spec	/.well-known/openapi.json	API schema for tool-use agents
Sitemap	/sitemap.xml	All active listing URLs
robots.txt	/robots.txt	All crawlers welcome

Individual listing pages

Every active listing has a public page at /r/[id] containing:

Semantic HTML (<article>, <h1>, etc.)
JSON-LD structured data (RealEstateListing schema)
AI-generated summary (concise, keyword-rich, factual)
Structured specs: beds, baths, cars, land size, price, location
Open Graph meta tags

You can fetch any listing page and parse the HTML or extract the JSON-LD. No rendering engine required.

Browse pages

/buyers — all active buyer requirements (paginated)
/sellers — all active seller listings (paginated)
/landlords — all active rental listings (paginated)
/tenants — all active tenant requirements (paginated)

Use cases for AI agents

Property search assistants: answer "find me a house in [suburb]" queries with real listings
Buyer-seller matching: cross-reference buyer requirements with seller listings
Market analysis: aggregate listing data by suburb, price range, or property type
Real estate chatbots: integrate Realify as a tool in your agent framework
Research: understand what buyers are looking for in a given area

Why this approach

Search behaviour is evolving. More people are asking AI assistants for property recommendations alongside traditional portal searches. Realify structures listing data so that AI systems can access and understand it — server-rendered HTML, structured JSON-LD, and an open API.

If you're building an AI agent that works with Australian property data, Realify's architecture is designed to support that.

Questions or want to integrate? Reach out at hello@realify.com.au.
Realify is not a licensed real estate agent. Listings are unverified.