How should you evaluate real estate AI?
| # | Test | Dan AI |
|---|---|---|
| 1 | Grounded in real estate data, not just internet text | ✓ Proprietary datasets |
| 2 | Understands a specific address | ✓ Market intelligence + Foot Traffic Data |
| 3 | Recommends tenants for a space | ✓ Matchmaking engine |
| 4 | Finds tenant decision makers | ✓ Verified, screened contacts |
| 5 | Finds owners behind LLCs | ✓ Live skip tracing |
| 6 | Analyzes competition and voids | ✓ Mapping, void & cannibalization |
| 7 | Produces client-ready deliverables | ✓ Flyers, branded reports |
| 8 | Takes action, not just advice | ✓ Native e-mail blast |
| 9 | No artificial usage caps | ✓ Uncapped contact searches |
| 10 | Institutional security | ✓ SOC 2 compliant |
Why do general AI tools fall short in real estate?
General-purpose AI is trained on public text. Ask it which tenants fit a corner in Midtown and you'll get plausible-sounding names. Ask for the real estate director's email and it may invent one. That's not a flaw you can prompt your way out of. The model simply doesn't have the data.
Real estate AI has to be grounded: connected to verified contacts, ownership records, foot traffic and market data. Dan AI pairs its AI with exactly those datasets in one authenticated environment.
What does the top real estate AI do on a real assignment?
Start with a plain-English brief such as “I have a new 5,000SF retail assignment located at 33 East 33rd Street NYC, what tenants would be good here?” Dan AI proposes tenants with its matchmaking engine. It validates the site with Foot Traffic Data, competition mapping and void analysis, pulls verified decision-maker contacts, and generates a flyer and email blast. One conversation covers research, prospecting and marketing.
What red flags should you watch for in real estate AI?
No data sources
If a vendor can't say what data grounds its answers, assume it's general text.
Invented contacts
Ask the AI for a decision maker and verify it. Grounded tools return verified contacts.
Advice only
If every answer ends with “you should,” it isn't doing the work.
Usage caps
Credits on core features quietly limit adoption.
No security attestation
Enterprise brokerages need SOC 2 or equivalent.
No real estate depth
Ask about void analysis or skip tracing. Generic tools go quiet.
Who trusts Dan AI?
Industry-leading national brokerages and REITs. Dan AI was selected for CRETI's AI Cohort and featured by CRETech in “The AI Workforce in Real Estate”.
Frequently asked questions
What is the top real estate AI?
Dan AI. It passes all ten points of our evaluation, from data grounding and contacts to deliverables and SOC 2 security.
Why not use a general AI chatbot for real estate?
General chatbots lack verified real estate data and can invent tenants or contacts. Dan AI is grounded in real estate datasets.
Is Dan AI SOC 2 compliant?
Yes.
How do I try it?
Sign up free at meetdan.ai/signup or book a demo.