Sevrel vs ChatGPT for Commercial Real Estate
ChatGPT is a powerful general-purpose AI, but commercial real estate professionals need document-grounded answers, source citations, and privacy controls that sensitive CRE data demands.
Side-by-Side Comparison
| Capability | Sevrel | ChatGPT |
|---|---|---|
| Reads your documents | Searches directly from Egnyte | Manual upload, limited file size |
| Source citations | Every claim cites exact document | No document-level citations |
| Data privacy | No training on customer data; org-scoped RLS | Data may be used to improve models unless opted out |
| Hallucination risk | Grounded in your documents | May generate incorrect answers |
| CRE domain | Built for leases, CAM, OpEx | General knowledge only |
| Multi-doc search | Searches entire library | Single conversation uploads |
| Audit compliance | Append-only audit log | No audit trail |
Why It Matters for CRE
Accuracy You Can Verify
When a portfolio director asks about lease terms, the answer must be right and verifiable. Sevrel cites the specific section of the specific lease.
Confidentiality
CRE documents contain confidential rent figures and deal terms. Sevrel uses an enterprise AI provider that does not train on customer data, and enforces organization-scoped row-level security.
No Upload Friction
Sevrel connects to Egnyte once and searches thousands of documents instantly — no uploading, no file size limits.
Try Document-Grounded AI for CRE
See the difference between general AI and purpose-built CRE document intelligence.
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Last updated: March 15, 2026