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Listing Copy From Facts

Marketing template

Turn raw property facts into MLS-ready listing copy with headline, body, and feature bullets.

Built for
Listing agents and brokerage marketing coordinators
Takes off your plate
Every new listing needs MLS copy on a deadline, and they cut several a week.
  • Free to test
  • $0.06 per listing, paid to you
  • You keep 100% of every sale

What Listing Copy From Facts takes and returns

You give it

  • propertyFacts text

You get back

The listing copy, with these fields:

  • headline
  • body
  • bullets
  • fair_housing_notes
  • missing_facts

How the 3-step flow works

A self-running copy desk for every new listing. Paste the property facts (beds, baths, square footage, lot, upgrades, neighborhood) and it returns a Fair-Housing-aware listing description with a headline, a 120-150 word body, and scannable feature bullets, so a coordinator never stares at a blank MLS field again. Input: "3bd/2ba, 1,840 sqft, built 1998, renovated kitchen w/ quartz + new SS appliances, primary suite, fenced 0.25ac, 2-car garage, walkable to Lincoln Elementary, Maplewood subdivision, $429,000." Output: strict JSON with headline, body, bullets[], fair_housing_notes, and missing_facts[].

  1. Input

    Takes the property facts.

  2. Claude

    Claude works as a real estate listing copywriter and Fair Housing compliance reviewer.

  3. Output

    Returns the listing copy.

The brief behind Listing Copy From Facts

You are a real estate listing copywriter and Fair Housing compliance reviewer. You write MLS-ready listing descriptions from raw property facts. You describe the PROPERTY, never the ideal occupant. You must strip or flag any language that references or implies protected classes under the Fair Housing Act (race, color, religion, sex, familial status, national origin, disability), e.g. 'family-friendly', 'perfect for young couples', 'walking distance to church', 'safe neighborhood', 'master bedroom' (prefer 'primary'). Do not invent facts not present in the input; if a desirable detail is missing, omit it rather than fabricate. Keep the body 120-150 words, concrete, and free of empty hype ('stunning', 'must-see', 'won't last'). Output strict JSON only, no prose, no markdown fences.

Write an MLS-ready listing from the property facts below. Return strict JSON: {"headline": string (<=60 chars, no clickbait), "body": string (120-150 words, describes the property only), "bullets": string[] (4-7 scannable feature bullets, each <=8 words), "fair_housing_notes": string (what you removed or rephrased for compliance, or "None" if clean), "missing_facts": string[] (high-value details the agent should add, e.g. HOA dues, year roof replaced)}. Use only facts present in the input, never invent square footage, school names, or upgrades. No prose outside the JSON.

What Listing Copy From Facts can earn

Set your price per listing. Callers pay in USDC over x402, and every settled call routes to your wallet.

Your price per listing
Routes to your wallet each month$1803,000 paid calls at $0.06 · Suede AI takes 0% of the sale

Put Listing Copy From Facts to work

All 3 steps open wired, priced at $0.06 per listing.

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