Use case · Real Estate
AI workspace for real estate teams
Real estate teams already use AI for listings, outreach and market notes. The problem is that property context, buyer preferences and approved claims live in personal chats instead of the brokerage.
7 days free · No credit card required
Cost comparison
What an 18-person real estate team spends before centralizing
Brokerages mix tools across agents, marketing and operations. Launch weeks burn tokens; quieter weeks leave seats idle.
Typical setup
Mixed agent and marketing seats
~$390/month before campaign spikes
- 10 × ChatGPT Plus for agents and coordinators → $200/month
- 4 × Claude Pro for longer market narratives → $80/month
- Marketing contractors reimbursed for tools → ~$60/month
- Light ops users still holding seats → ~$50/month
- No attribution by listing, market or office
With Intrascope
Intrascope Business + campaign usage
~$99 workspace + ~$60 usage ≈ $159/month
- $99/month covers up to 25 brokers, marketers and ops partners
- ~6.5M tokens/month across listings, outreach and market notes
- Projects keep markets and clients separated
- Manifests lock approved property claims and brand voice
- Usage visibility shows which launches actually drive spend
Typical real estate usage profile
Usage follows listing and campaign cycles. An 18-person team often lands around 5-8M tokens/month, with sharp spikes during launch weeks.
Heavy users (5)
~1M tokens each: marketing and top producers
Regular users (8)
~250k tokens each: agents and coordinators
Light users (5)
<40k tokens for managers and ops
Blended model split
55% ChatGPT 5.5 · 30% Claude · 15% faster models
Models real estate teams choose by work type
- ChatGPT 5.5 for listing variants, social and outreach drafts
- Claude for longer market narratives and buyer briefs
- Faster models for internal notes and quick rewrites
Common problems
What breaks when real estate rely on personal AI accounts
- Listing voice and property facts sit in one agent's ChatGPT history.
- Marketing, sales and ops each buy different seats for the same client work.
- There is no clean way to see AI cost by market, office or campaign.
- When an agent leaves, reusable listing frameworks leave with them.
How Intrascope helps
Built for how real estate actually use AI
- Create projects per market, office or high-value client portfolio.
- Store property facts, tone and claim restrictions in shared manifests.
- Draft listing variants, outreach and market updates in one controlled workspace.
- Track usage when a launch week spikes copy and research volume.
Knowledge ownership
Brokerage knowledge should compound
Winning listing angles, objection handlers and neighborhood notes are company IP. Intrascope keeps them in projects and manifests so the next launch starts from the brokerage's best work, not a blank personal chat.
An office manager who edits two listing blurbs a week should not need the same seat stack as a marketing lead running a launch. Intrascope keeps access shared while usage follows the people doing the work.
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