AI-generated public remarks for any MLS system — buyer-facing marketing copy, fair housing pre-reviewed, sized to your character limit
MLS public remarks are the buyer-facing listing description that appears in the Multiple Listing Service and is syndicated to consumer portals — Zillow, Realtor.com, Redfin, and others. Public remarks should be marketing-focused: property features, selling points, neighborhood context, and a call to action. The standard length is 150-250 words, though MLS character limits vary from 500 to 4,000 characters depending on the system. Public remarks must comply with the Fair Housing Act (42 U.S.C. § 3604) — avoiding protected-class language, coded neighborhood references, and lifestyle assumptions. BuildMyListing generates MLS public remarks in 2 minutes, pre-scanned for fair housing compliance and sized for any MLS character limit.
Pricing: Starting $99/month
Time Required: 2 minutes per listing
Writing 150-250 words of compelling, property-specific listing copy for every listing is a hidden time cost that compounds across a full book of business. At 30 minutes per listing and 3 listings per week, that's 6 hours monthly on copy — time that could be spent on prospecting, client service, or lead follow-up. And manual copy risks fair housing language errors that a pre-submission scan would catch.
BuildMyListing generates MLS public remarks in 2 minutes — property-specific, compelling, fair housing pre-reviewed, and sized for any MLS character limit. The public remarks field is distinct from broker remarks; BuildMyListing generates both as part of the full listing package.
BuildMyListing generates unique public remarks for each property using agent-provided inputs: address, property type, bedrooms/bathrooms, square footage, key selling points (renovated kitchen, primary suite, outdoor living, school district, views, pool). Generic templates produce generic copy. Specific inputs produce copy that differentiates the listing from comparable properties.
Benefit: Copy specific to the property — not a generic template with blanks filled in
Public remarks are scanned against a library of 200+ prohibited fair housing language patterns — protected-class references (race, color, national origin, religion, sex, familial status, disability under 42 U.S.C. § 3604), coded neighborhood references that imply demographic composition, and lifestyle assumptions that exclude protected classes. Flagged phrases are replaced before the copy is shown to the agent.
Benefit: Pre-submission compliance review — no separate fair housing check needed
MLS systems vary significantly in their public remarks character limits: CRMLS allows 4,000 characters; Zillow/Realtor.com syndicates up to 2,048 characters; BRIGHT MLS accepts up to 500 words; NWMLS limits agent remarks to 1,000 characters; some smaller MLSs limit public remarks to 1,000 characters or less. BuildMyListing generates a standard 150-250 word version and can regenerate in condensed form for character-limited systems.
Benefit: Correct length for any MLS — no truncation on portal syndication
BuildMyListing supports regeneration in different tones for different market contexts: standard residential (neutral, feature-forward); luxury (aspirational, amenity-focused, avoids price-point language); investor-focused (ROI context, rental income framing, cap rate language); first-time buyer (feature accessibility, neighborhood context, value framing); and new construction (builder spec language, community context, warranty framing).
Benefit: Tone-matched copy for different buyer audiences and listing types
Enter property type, address, beds, baths, square footage, lot size if applicable, school district, and 3-5 specific selling points. Selling points should be specific — 'renovated kitchen with quartz island' outperforms 'updated kitchen.' The more specific the input, the more differentiated the output.
BuildMyListing writes 150-250 word public remarks, runs the fair housing compliance scan, and produces output ready for MLS submission. Generation typically completes in under 2 minutes. Agents review the output and can regenerate with different tone or edit inline before use.
Paste the generated public remarks into the MLS system's public remarks field — not the broker remarks field. Verify character count against your specific MLS system's limit before saving. For systems with strict character limits, use the condensed regeneration option.
| MLS System | Public Remarks Field Name | Character Limit | BuildMyListing Output |
|---|---|---|---|
| CRMLS (California) | Public Remarks | 4,000 characters | Standard 250-word; condensed 800-char available |
| NTREIS (DFW) | Public Remarks | 3,000 characters | Standard 250-word fits |
| BRIGHT MLS (Mid-Atlantic) | Public Remarks | 500 words | Standard 250-word fits |
| HAR (Houston) | Property Description | 4,000 characters | Standard 250-word; long version available |
| NWMLS (Northwest) | Agent Remarks | 1,000 characters | Condensed version required |
| Zillow/Realtor.com Syndication | Description | 2,048 characters | Standard output fits; no truncation |
Scenario: Top producer with 8–12 active listings at any time. Spends 20–30 minutes per listing on copy. Wants to maintain quality while reducing time per listing.
Process: Enter property details from listing agreement → 2-minute generation → Review AI output → Minor edit if needed → Paste to MLS. Repeat for all active listings. Time per listing reduced from 25 minutes to 5 minutes including review.
Compliance: Fair housing scan automated for every listing — no separate review step needed. All 12 active listings scanned consistently.
Scenario: First-year agent learning what constitutes fair housing-compliant copy. Wants to review AI output and understand why flagged phrases were changed.
Process: Enter property details → BuildMyListing generates copy with any flagged phrases replaced → Agent reviews output and the compliance log showing what was changed → Develops pattern recognition for compliant language → Builds confidence in copy over first 6–12 months.
Compliance: Compliance education embedded in the generation workflow. Agent develops fair housing vocabulary through exposure to compliant copy.
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