Fast matching
Find in seconds which buyers fit a newly listed property.
Use AI in your real estate agency by keeping properties, owners and buyers in Traiker. Your data is yours: at Traiker we don't train models on it or process it, and you can export or delete it whenever you want. It's the safe place, with templates, for ChatGPT, Claude or Grok to query it through MCP without touching databases or building an app.
A real estate agency lives by matching two lists well: what's available and what each person is looking for. And by never leaving a contact without follow-up.

Listings live on the portal, enquiries live on each agent's phone and viewings live in a half-shared calendar. When someone asks "do you have anything like this?", the answer depends on who picks up the phone.
You, in Claude connected to Traiker:
“Which buyers are looking for a three-bedroom flat under €250,000 and haven't seen the one on Calle Mayor yet?”
The assistant cross-checks buyers, properties and viewings recorded in Traiker and gives you the list to call, along with each person's last conversation.
Find in seconds which buyers fit a newly listed property.
Know who hasn't been called since their last viewing and what was left pending.
Write descriptions from the property's real data, with no mistakes in square metres or price.
You won't be building an app or designing tables: Traiker gives you a ready, secure database, templates to start from and the MCP connection so ChatGPT, Claude or Grok can work with your data. See other industries.
I want to try it