No single AI tool covers a broker's week, so match the tool to the job. For a sourced first draft of a broker opinion of value, or an owner screen from an address, Titleman (our product) returned both in measured runs: 62 minutes and 1 hour 35 minutes. Buildout and RealNex run the brokerage, Henry underwrites on your own data, CompStak supplies comps, Prophia abstracts leases, Dealpath serves the investor side and Claude drafts from your files.
Published by Titleman, which makes one of the tools compared.
Titleman is our product, and it is on this list. We score every tool by the same five criteria below. We ran only Titleman ourselves, so the other seven are described in their makers' own words, as read on their own sites on 19 October 2026, and we do not rank them. The "best for" label on each line is the job the maker describes; only Titleman's carries a result we measured.
Written by the Titleman team with AI assistance (Claude). Reviewed by the Titleman review desk (AI-assisted, not independent of Titleman). Updated 19 October 2026: first edition. Titleman covers the United States and Europe.
| Tool | Best for | Works from | Sourcing shown on the page we read | First-hand proof |
|---|---|---|---|---|
| Titleman | Sourced BOV draft; owner screen by county | An address or a question; 2,100+ sources | Every input carries its source | Two runs, 14 Oct 2026 |
| Buildout | Listings, CRM and marketing in one system | Your brokerage's records | Not stated | None |
| RealNex | CRM and deal tools from one vendor | "Your relational property and transaction data" | Not stated | None |
| Henry | Underwriting and decks for a team | The firm's own assumptions and database | Not stated | None |
| CompStak | Lease and sale comps | Contributed transactions, analyst-checked | "Trace back to signed transactions" | None |
| Prophia | Lease abstraction | Your lease documents | Extraction plus expert review | None |
| Dealpath | A buyer's deal pipeline | The investor's deal data | Not stated | None |
| Claude | Drafting and analysis from your files | Files you supply | None of its own | None |
How we chose and tested
The same five questions for every tool: which broker job does it do, what does it work from (your data or its own), does the page we read say where figures come from, who signs the output, and do we hold a result of our own. We read each maker's own site on 19 October 2026 and quote it in short. Where a page was silent, the table says "Not stated", which means the page we read did not say, not that the tool lacks it. We did not run any tool except Titleman, and we state no price for any.
Titleman's two results come from runs already on record, made on a Titleman QA account on 14 October 2026, with no client data. One typed line returned a memo and a live workbook in 62 minutes. A county screen took 1 hour 35 minutes. Neither was typed into a live broker inbox, and we do not claim one.
The eight tools
1. Titleman: best for a sourced first draft, tested
Titleman reads the property record, finds sales and rents, and drafts a broker opinion of value for the broker to review and sign. In the BOV run, one line ("Value opinion for" and a street address) returned a memo and a live Excel workbook in 62 minutes: 257 records, 73 inputs each with its source, 6 nearby sales found and 3 used. It caught that the address was one 750 SF bay inside a 9,772 SF strip, which could not be sold alone. See the six questions brokers ask.
In the owner run, 2,879 multifamily buildings of 5 or more units in one county were screened and 597 carried at least one distress record, in 1 hour 35 minutes. It could not read the sheriff-sale listings, and 1,611 buildings were not tax-checked, and the run said so. The answer is meant to arrive where you already work (email, CRM, WhatsApp or Telegram); both runs were typed into the workspace.
- Pros: every figure names its source; it lists what it could not establish.
- Cons: no CRM, no listing marketplace, no lease-by-lease modeling; the output is an opinion of value, not an appraisal; the broker signs.
2. Buildout: for running the brokerage
Buildout calls itself "the AI brokerage solution that takes your team from contact to commission", combining "CRM, marketing, data, and back-office automation". Its AI is described as completing tasks such as "write property descriptions and outreach emails" and "surface likely-to-sell property owners". Visit buildout.com.
- Pros: one log-in for the brokerage's daily work.
- Cons: the page we read does not name offering memorandums or BOVs; moving a brokerage's records is its own project.
3. RealNex: CRM and deal tools from one vendor
RealNex calls itself "a complete commercial real estate operating system specifically designed to find, win and close business", with AI "grounded in your relational property and transaction data" to "surface opportunities, sharpen valuations, and prioritize the right deals". See realnex.com.
- Pros: AI that works from the records you already keep.
- Cons: output is only as good as the data you have entered; the page we read does not show how a valuation is sourced.
4. Henry: underwriting and decks on the firm's own data
Henry describes itself as "AI built for CRE teams that compete on quality and win on speed". It builds an underwriting model from the firm's own assumptions that analysts can edit in Excel, ranks comps from the firm's own database, and drafts "institutional pitch decks on your brand, in minutes". See henry.ai.
- Pros: Excel output a team can edit; ranked buyer lists from your CRM.
- Cons: it leans on your firm's own database; the page we read does not mention OMs or BOVs.
5. CompStak: comps
CompStak calls its data "sourced from 40,000+ CRE professionals, verified by CRE analysts", with "data points that trace back to signed transactions" across "105 markets". Its tools include natural-language search for comps and a rent estimate. See compstak.com.
- Pros: traceable lease and sale comps.
- Cons: a data source, not an opinion of value; coverage varies by market, so check yours.
6. Prophia: lease abstraction
Prophia says it "uses AI to extract key lease terms", paired with expert review, and lists solutions for investment sales and leasing teams. See prophia.com.
- Pros: structured lease data with a human check.
- Cons: it starts from documents you already have; it does not value anything.
7. Dealpath: the investor side
Dealpath calls itself "the AI-powered operating system for real estate investing", used mainly by investment firms, with a broker option through Dealpath Connect. See dealpath.com.
- Pros: AI deal screening with "AI-recommended comps and property insights", and a broker option.
- Cons: built for investors first, by its own description.
8. Claude: drafting from your files
Anthropic says Claude can "mine data, pull information together, or make a first draft" and "produce real files like documents, spreadsheets, and slides that you review, edit, and sign off on". See claude.com.
- Pros: flexible for drafts, summaries and spreadsheets.
- Cons: it holds no property record unless you supply one; every figure needs checking.
How to choose
Start from the job costing the most hours. Owner asks "what is it worth?": a BOV draft (the workflow, step by step). Listings, contacts and marketing: a brokerage system. Comps: a data source. Then run one property you know through any shortlisted tool; five tests for BOV software gives the checklist. For the wider map, see AI tools for commercial real estate, grouped by job.
What none of these replace
A licensed appraisal where a lender or court requires one (broker opinion of value vs appraisal). A title search. The broker's judgment and signature. And Titleman does not replace your CRM, a comps subscription or lease-by-lease modeling.
FAQ
What are the best AI tools for commercial real estate brokers?
No single tool covers a broker's week. Match the tool to the job: a brokerage system for listings and CRM (Buildout, RealNex), underwriting and decks on your own data (Henry), comps (CompStak), lease abstraction (Prophia), the investor side of a deal (Dealpath), drafting from files you supply (Claude), and a sourced first draft of a broker opinion of value or an owner screen from an address (Titleman, our product). We have run only Titleman ourselves.
Can AI write a broker opinion of value?
It can write a draft, and the broker still signs. In one measured Titleman run, one typed line (Value opinion for, and a street address) returned a memo and a live Excel workbook in 62 minutes, built from 257 records and 73 inputs that each carry their source. The draft is an opinion of value, not an appraisal.
Is there an AI tool that finds motivated or distressed owners for brokers?
Yes, for a county you name. In one Titleman run, 2,879 multifamily buildings of 5 or more units were screened and 597 carried at least one distress record, in 1 hour 35 minutes. The run also listed what it could not read, so a list like this is a set of leads to check, not a call sheet.
Do brokers need ChatGPT or Claude, or a CRE-specific tool?
A general assistant drafts and summarizes from the files you give it, but it holds no property record of its own. A CRE-specific tool brings the records, the comparables or the workflow. The test is the same for both: give it a property you already know the answer to and check every figure.
How should a brokerage test an AI tool before using it?
Pick a property that traded recently, run it through the tool, and compare. Ask whether every figure names its source, whether the comparables can be looked up, what the tool says it could not find, and how long the first usable draft took on a start and finish you can see.
Sources
Each maker is quoted in short, in the words of its own site; the "pros" and "cons" lines are our reading of those words. Pages read on 19 October 2026: buildout.com, realnex.com, henry.ai, compstak.com, prophia.com, dealpath.com, claude.com. Titleman's runs: the broker workflow and the owner screen.