Fair Housing applies to the words in a listing regardless of who — or what — wrote them. General-purpose AI writers don't know the law and will cheerfully produce "great for a young family" or "safe, family-friendly street." Agents stay safe by treating every AI draft as unverified copy and reading it for steering language and unprovable claims before it goes live. This tool is built for that last review pass.
What the checker flags
The scan looks for two kinds of risk and highlights each phrase in the preview so you can see exactly where it appears:
- Possible Fair Housing language — words that may describe a preferred type of buyer rather than the property: familial status ("perfect for families", "no children"), religion ("near churches"), disability ("walking distance", "able-bodied"), race or national origin ("exclusive", "private community"), sex, and age ("ideal for retirees", "young professionals"). Subjective area claims like "safe neighborhood" and "good schools" are included because they can imply steering and are hard to verify.
- Unverifiable or forward-looking claims — "guaranteed", "will appreciate", "great investment", "won't last", "best in the area" — the kind of promise that's easy for AI to generate and hard for an agent to stand behind.
How to use it
Paste the description, click Check my listing, and review each flag. The point isn't to delete every highlighted word — it's to make a deliberate choice. Replace "perfect for families" with a description of the actual bedrooms. Swap "safe neighborhood" for a link to public crime or school data and let buyers judge. Keep "primary suite" instead of debating "master." Then verify the factual details — square footage, year built, features — against the MLS and the seller's disclosures, because the checker can't see whether your numbers are true.
Describe the home, not the buyer. If a phrase characterizes who "should" live there, or how desirable the area is, it's worth a second look. If it states a fact, make sure that fact is verified before you publish.
Frequently asked questions
What does the Listing Description Checker look for?
It scans your text for two kinds of risk. First, language that may signal a Fair Housing preference about a protected class — familial status, religion, disability, race or national origin, sex, and age — such as "perfect for families", "near churches", or "safe neighborhood". Second, unverifiable or forward-looking claims like "great investment", "will appreciate", or "guaranteed" that an agent generally cannot stand behind. It highlights the phrases and explains why each one is worth a second look. It does not rewrite your listing or make a legal determination.
Is this legal advice?
No. This is an educational tool, not legal advice, and it does not guarantee Fair Housing compliance. Context matters: a flagged phrase is not automatically a violation, and the checker can miss things it was not built to catch. Treat the results as a prompt to review your own copy and, when in doubt, run listings past your broker or compliance team. The agent or broker who publishes the listing is the publisher of record regardless of which tool wrote it.
Does the tool send or store my listing text?
No. The entire check runs in your own browser with JavaScript. Your listing text is never uploaded to a server, never stored, and never leaves your device. You can confirm this by turning off your internet connection after the page loads — the checker still works.
Why is "safe neighborhood" or "good schools" flagged?
Subjective claims about safety, crime, or school quality can imply steering toward or away from an area based on who lives there, and they are difficult to verify objectively. Fair Housing guidance encourages describing the property rather than characterizing the people or the desirability of a neighborhood. A safer approach is to point buyers to public data sources — school ratings, crime statistics — and let them draw their own conclusions.
Can I use AI to write listing descriptions at all?
Yes — AI is genuinely useful for drafting listing copy quickly. The risk is that general-purpose AI writers do not know Fair Housing law and will happily produce phrases like "great for a young family" or invent features a property does not have. The reliable workflow is: let AI draft, then verify every factual claim against the MLS and property records, and read the copy for Fair Housing language before you publish. This checker is built for that final review step.
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