FairHousingAdPrecheckHousing-ad wording vs published FHA / § 100.75 factors for landlords and agentsPublishing a housing ad? Know what wording signals a preference before it goes live.
Paste your housing ad. Get a severity-ranked pre-check against the Fair Housing Act and HUD's advertising rule — protected-class preference wording, "no children / adults only," disability screens, religion or ancestry coding, and "exclusive community" steering — before a listing becomes an HUD or state-agency complaint.
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Key Takeaways
- Ad wording vs published FHA / § 100.75 factors, severity-ranked.
- Actionable fix checklist — never a silent rewrite or auto-publish.
- Honesty: a heuristic pre-check — not a fair-housing certification.
Ad wording first. FHA § 3604(c) / § 100.75 next.
Decision-support fair-housing advertising ranks — not a certification and not a legal audit.
FairHousingAdPrecheck — definition
FairHousingAdPrecheck pre-checks a housing or real-estate advertisement against the Fair Housing Act — whether the wording "indicates any preference, limitation, or discrimination" based on race, color, religion, sex, national origin, familial status, or disability (42 U.S.C. § 3604(c)), as elaborated by HUD's discriminatory-advertising rule (24 CFR § 100.75) and steering prohibition (§ 100.70) — returning a scored, severity-ranked report with concrete edits before the ad goes live.
What this is NOT
- Not a fair-housing certification, an MLS/platform integration, or a compliance guarantee.
- Not an intent or targeting verifier — whether an ad was steered, served to, or refused anyone is an advisory checklist item, never looked up.
- Not a substitute for legal review of federal, state, or local fair-housing obligations.
Controller / Processor — When packs mention privacy roles, we use GDPR Art.4 labels: Controller and Processor (decision-support only).
Listing published. Fair-housing complaint filed.
Preference wording by a protected class
Phrases like "no [group]," "ideal for [group]," "restricted to," or "won't rent to" indicate a preference, limitation, or discrimination — the core prohibition of 42 U.S.C. § 3604(c) and 24 CFR § 100.75, reached even without an explicit refusal.
Familial-status exclusions
"No children," "adults only," or "perfect for a young couple" signals limit families with children, a protected class (§ 3602(k)); senior-housing exemptions are narrow and never a blanket "no kids" sign.
Disability screens & "no pets"
"Must be able to climb the stairs," "not suitable for wheelchair users," or a flat "no pets" with no service/assistance-animal carve-out runs against the reasonable-accommodation duty and handicap protection (§ 3602(h)).
Coded steering & "exclusive" communities
"Exclusive community," "people like you," "not integrated," or a subjective "safe/desirable" pitch can steer by protected characteristics — HUD treats steering as unlawful (§ 100.70) and reads coded exclusions into § 100.75.
Paste. Scan. Fix.
Severity-ranked findings from your ad wording against published FHA / § 100.75 factors — including which phrase to drop and which Equal Housing notice to add.
Fair-housing findings
Protected-class preference, familial-status, disability, religion/national-origin, steering/exclusivity, and a missing EHO notice, each with quoted evidence.
Severity ranks
High / medium / low so you fix the complaint-ready gaps first.
Fix checklist
Actionable edits — you still own the final ad.
Copy-ready report
Markdown you can paste into a listing editor or review thread.
Everything you need for a fair-housing ad pre-check
Built for landlords, agents, and property managers publishing listings every week.
Protected-class and steering detection
Protected-class preference, familial-status, disability, religion/national-origin, steering/exclusivity, and a missing EHO notice, each with quoted evidence.
Severity-ranked output
High / medium / low so you fix the complaint-ready gaps first.
Fix checklist included
Actionable edits — you still own the final ad.
Copy-ready
Markdown you can paste into a listing editor or review thread.
From paste to pre-check report in 3 steps
Paste the wording
The exact listing, agent, or social ad copy — plus ad type, channel, and whether an EHO notice is shown.
Scan
Deterministic engine ranks findings by severity and checks each ad signal for the protected-class, familial, disability, or steering wording the rule reaches.
Review
You edit the ad. FairHousingAdPrecheck never rewrites or publishes.
Paste. Scan. Fix.
Severity-ranked findings from your ad wording against published FHA / § 100.75 factors — including which phrase to drop and which Equal Housing notice to add.
Preference wording by a protected class
Phrases like "no [group]," "ideal for [group]," "restricted to," or "won't rent to" indicate a preference, limitation, or discrimination — the core prohibition of 42 U.S.C. § 3604(c) and 24 CFR § 100.75, reached even without an explicit refusal.
Fair-housing findings — Protected-class preference, familial-status, disability, religion/national-origin, steering/exclusivity, and a missing EHO notice, each with quoted evidence.
FHA factors · deterministic preference & steering logic · human review
Paste your housing ad with ad type, channel and EHO-notice state. Deterministic severity ranks first, each ad signal checked for the protected-class, familial, disability, or steering wording the rule reaches. Optional AI never invents findings. You review before publishing.
Read the methodology →Paste-first fair-housing ad reports — not a compliance suite
| # | FairHousingAdPrecheck | Manual fair-housing reading / banned-word lists |
|---|---|---|
| 1 | Wording vs fair-housing ad factors in one paste | Hours reading statute explainers |
| 2 | Severity-ranked fix list with preference & steering logic | Scattered checklist notes or an HUD complaint |
| 3 | Self-serve from $19/mo | Enterprise compliance suites |
| 4 | Decision-support only | May over-promise compliance guarantees |
Methodology before you ship
AI draft · human review · decision-support only.
Read methodology →Open studioTry it on this page
or generate below.
Saved history
Built for real-estate and property teams
Capability cards describe the studio. No fabricated customer counts.
A pasted housing ad becomes ranked findings against published FHA / § 100.75 factors.
Ad type, channel and EHO-notice state tune how aggressively preference, familial and steering risks escalate.
Every finding ships a suggested edit — you still decide.
Simple plans that scale
All paid plans include
- Fair-housing advertising pre-check studio
- Severity-ranked export
- Rule-based checks (decision-support)
- Email support on paid plans — no hidden add-ons for core studio use
- Limited AI checks: 3/day · 15/mo (fair use)
- Studio demo (no extra LLM fee)
- AI included: 40 runs/day · 300/mo (fair use)
- No separate ChatGPT subscription required
- Priority support · 2 months free with yearly
Feature comparison
What each plan includes — quotas reflect the enforced fair use limits.
| Dimension | Free | Pro | Enterprise |
|---|---|---|---|
| Usage | |||
| AI runs | 3/day · 15/mo | 40/day · 300/mo | 200/day · 3,000/mo |
| Report export | Watermarked | Clean export | Clean export |
| Audit log | Not included | ✓ Included | ✓ Included |
| Product | |||
| Protected-class preference: "no [group]," "ideal for [group]," "restricted to," "won't rent to" caught against § 3604(c) / § 100.75 | ✓ Included | ✓ Included | ✓ Included |
| Familial status: "no children," "adults only," "perfect for a young couple," child-targeted occupancy caps (§ 3602(k)) | ✓ Included | ✓ Included | ✓ Included |
| Disability: "must be able to walk the stairs," "not suitable for wheelchair users," or "no pets" without an assistance-animal carve-out (§ 3602(h)) | ✓ Included | ✓ Included | ✓ Included |
| Religion / national origin: "Christian neighborhood," "no foreigners," "English-speaking only," ancestry-coded exclusions (§ 3602(d),(f)) | ✓ Included | ✓ Included | ✓ Included |
| BYOK (your LLM key) | Not included | Not included | ✓ |
| SSO | Not included | Not included | Roadmap |
| Support & compliance | |||
| Support | Community | Priority | Custom SLA |
Already paid? Unlock Pro with your license
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Your questions, answered
What does FairHousingAdPrecheck check?
A scored, severity-ranked pre-check of one pasted housing advertisement against the patterns the Fair Housing Act (42 U.S.C. § 3604(c)) and HUD's discriminatory-advertising rule (24 CFR § 100.75) describe — decision-support drafts, never a legal opinion.
Does a good score mean my housing ad is lawful?
No. Lawfulness turns on how an ordinary reader would take the ad, its targeting, the real facts, and jurisdiction — outside what any text checker can see. FairHousingAdPrecheck only flags the published factors present in the wording you paste.
Can I cancel anytime?
Yes. Self-serve plans cancel anytime; access continues until period end.
Do I need a credit card to start?
No. Start with email signup or Demo mode in the studio, then upgrade when ready.
Do I need my own ChatGPT / OpenAI subscription?
No for Free/Pro. AI runs are included in your plan (fair use) via our platform key. Enterprise can optionally bring your own OpenAI key (BYOK) — configure it at /settings (key stays server-side only).
What is Fair Use / what if I hit the AI limit?
Free includes 3 AI checks/day and 15/month. Pro includes 40/day and 300/month. At the fair-use limit the studio returns a clear QUOTA_EXCEEDED notice with the reset time — the Rule-based demo keeps working; Enterprise BYOK covers heavier volume.
Is checkout secure?
Payments are processed by Waffo Pancake (merchant of record).
What happens after I pay?
You receive access confirmation; fulfillment is tracked via webhook + order logs.
Quick answers
- Ranked findings per run
- FHA & HUD aware
- Familial, disability and coded-exclusion gaps flagged
- Copy-ready
- Pricing starts at $0 (Free).
More questions
What inputs?
The housing ad wording (the exact listing / post text), the ad type, the channel it runs on, whether an Equal Housing Opportunity notice is shown, and strictness.
Fair-housing certification?
No. Heuristic pre-check — not a fair-housing certification, not a legal opinion, and not a government endorsement.
What comes back?
Ranked findings with quoted evidence — protected-class preference wording, familial-status, disability, religion/national-origin, steering/exclusivity, and a missing Equal Housing notice — plus a fix checklist; always review.
Demo or live?
Demo is labelled; live wording needs a configured AI key.
Who is it for?
Landlords, real-estate agents and brokerages, property managers, and anyone publishing a housing listing or ad.
Primary sources?
Your pasted ad wording and the Fair Housing Act (42 U.S.C. § 3604(c)) with HUD's advertising rule (24 CFR § 100.75).
Which protected classes are checked?
The federal seven: race, color, religion, sex, national origin, familial status, disability. HUD reads "sex" to include sexual orientation and gender identity, and states/localities may add more — surfaced as advisories, not quoted.
Does it check intent or platform targeting?
No — deliberately not. It never judges discriminatory intent, who an ad was served to, or how it renders; those facts live outside the text.
How it compares
| Dimension | Manual | FairHousingAdPrecheck |
|---|---|---|
| Speed | Hours reading FHA / HUD advertising explainers | Seconds per housing-ad draft |
| Consistency | Varies by reviewer memory | Same § 3604(c) / § 100.75 factors every run |
| Output | Free-form checklist notes | Structured pre-check report |
| Best for | Final sign-off | Pre-flight QA per listing & ad |
When not to use: Skip it when you need a lawyer's opinion on FHA / state / local exposure, a determination of discriminatory intent or effect, confirmation of how an ad is targeted or rendered, or automated publishing. This only pre-checks the housing ad wording you paste.
- Where housing ads get challenged — The places listing and ad wording quietly signals a protected-class preference.
- Fair-housing ad checks that people do not learn to ignore — What to block on, what to warn on, and what to leave alone.
- What a fair-housing ad pre-check cannot see — The honest boundary between risky wording and intent, targeting, and jurisdiction.
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