Shruti KaushikProptech companies check AI drafts by saving data coverage, integration lists with property management systems, outcome metrics with definitions and a list of phrases barred under fair housing rules. Marketing, listings tools copy and sales emails are then run through a claim check that flags returns, savings and discriminatory wording.
Where AI drafts go wrong for proptech companies
Two separate failures appear in proptech copy. The first is performance: assistants write "increase NOI by 15%" or "cut vacancy by a fifth" without a portfolio behind it. The second is language. The Fair Housing Act makes it unlawful to publish any notice, statement or advertisement for a dwelling that indicates a preference, limitation or discrimination based on protected characteristics. Phrases such as "perfect for young professionals" are the kind of copy an assistant produces without noticing.
Integration claims matter too. Property management platforms differ in what they expose, and "integrates with Yardi" can mean a reporting export or a full two-way sync. The buyer's operations team will ask.
Claims an AI draft might invent for proptech companies
These examples are invented for this page to show the pattern. They describe no real company, customer or result.
- "Increase NOI by 15%" with no measured portfolio.
- "Ideal for families and young professionals" in listing copy.
- "Integrates with every major property management system" when two are supported.
- "Reduce vacancy by 20%" with no period or definition.
- "Compliant tenant screening" with no approved wording.
The facts proptech companies would save once
A saved fact is one sentence you can stand behind, with its source and date. Anything a draft claims that matches none of them is flagged.
- Property data coverage: markets, update frequency, source.
- Integrations with property management systems and their direction and scope.
- Outcome metrics: definition, portfolio, period.
- Excluded phrases and descriptors for listing copy, set as brief exclusions.
- Screening and compliance statements approved by counsel.
- Customers you may name.
The workflow
- Save the data coverage, integrations and outcome definitions, and add excluded phrases to the brief.
- Draft marketing and sample listing copy in your assistant.
- Run the claim check. Paste the portfolio report as source text for any outcome figure.
- Send flagged compliance wording to counsel for sign-off by private link.
- Publish, and keep the approval record.
The method is the one on the draft fact check page: Klype extracts the figures, guarantees, vague authority and stories in a draft, matches each to your saved facts and any source text you paste, flags what it cannot back, and keeps an approval record. It is rule-based, so the same text gets the same answer, and it never publishes or sends anything.
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What the check does not do
It compares claims with the facts you saved and any source text you paste. It does not browse the web, does not verify outside claims and does not replace legal, compliance or editorial review where your work needs it. When it finds nothing checkable, it says nothing was verified, so you still read every draft before it goes out.
Sources
Each source is cited for the single point made above. Klype does not give legal advice; ask your counsel how any rule applies to you.
Common questions
Does the check know every fair housing rule?
No. It flags claims and the phrases you set as exclusions. Fair housing review needs a person who knows the law.
Can it check listing copy generated by our product?
Yes. It checks the text of any draft, whatever produced it. Paste the generated copy and the check applies your saved facts and exclusions to it.
What if an outcome was measured at one customer only?
Save it as that: one customer, one period. A draft that generalizes it is flagged.
Where to go next
Read how the check works on the draft fact check page, or try the free post checker without signing up. Related guides: Klype for logistics software companies, Klype for fintech and lending software, and Klype for martech companies. The full list is on the hub.