Gravitate is an AI platform for commercial real estate (CRE) brokerage, officially positioned as "brokerages that deliver faster win the mandate," primarily serving tenant reps, landlord brokers, and brokerage team leads. It moves brokerage teams from a "document factory" to a "deal loop": instead of just sending research materials, it continuously tracks client signals and drives progress into the tour stage.
I. Purpose and Positioning The official materials point out that the main pain points for CRE teams currently include: copying listings one by one into spreadsheets and reformatting them, starting every research piece and email from scratch, and being unable to know after sending which listings clients viewed or which ones they are interested in. Gravitate serves as an intermediate layer between research materials and clients, used to shorten the time from research to client-ready deliverables and to make follow-up based on real interaction data rather than guesswork.
II. Main Capabilities
- Capture and structuring: listings can be pulled from the browser into a spreadsheet with one click, fields are standardized, and they can be quickly refreshed when priorities change.
- Publish client links: generate a single link containing an interactive map and listing cards (with photos and background information), which can be shared without login and read on mobile; clients can also paste the research content into ChatGPT or Claude for side-by-side comparison without rebuilding the broker's work.
- Interaction tracking: see who opened the research, which listings they reacted to, and what they commented on; get early alerts when a deal goes quiet.
- Tour itinerary building: turn listings favorited by clients into day-by-day itineraries and optimize routes; clients receive an interactive tour page, landlord brokers receive availability requests, and all parties show up on the same schedule.
III. How to Use The officially described workflow is: capture listings with the browser -> generate research, drafts, and portfolio pages from structured data -> publish one client link -> observe clients' clicks, comments, and reactions to specific listings -> turn interested listings into tour itineraries. The platform runs on top of Claude, ChatGPT, and Gemini, and the official materials state that AI models are continuously kept up to date, so users do not need to manage model selection themselves.
IV. Use Cases by Role
- Tenant rep: deliver market research the same day and clarify before the call which listings the client cares about.
- Landlord broker: promote a listing portfolio faster, capture interest at the individual listing level, and report real interaction data to landlord clients.
- Brokerage team lead: see which members responded that day, which clients are active, and which deals are going cold, so as not to lose the mandate.
V. Limitations and Information Not Provided The official page does not disclose specific pricing, plans, regional availability, data storage, or compliance details. Some customer reviews mention actual usage results (such as reducing hiring needs and being used to keep listing portfolios updated), but no quantitative benchmarks are provided. If you need to know about pricing and integration capabilities, the materials do not currently provide this, and it is recommended to contact the official team directly.
