Seo Fha Compliance

Note: State and local fair housing laws may add additional protected classes (e.g., source of income, sexual orientation, gender identity, marital status, age, veteran status). Always check applicable local regulations.

Scan Categories

Category 1: Familial Status Violations

Scan for these patterns (case-insensitive):

• "family-friendly", "family friendly", "family-oriented", "family oriented"
• "ideal for families", "perfect for families", "great for families"
• "ideal for singles", "singles community", "adult community", "adults only"
• "no children", "child-free", "childfree"
• "family-sized", "family sized"
• Marketing children's amenities with language targeting families ("youngest members", "your kids will love", "bring the kids")
• References to schools by name as a selling point (implies targeting families)

What is OK:

• Listing "playground", "children's play room" as a factual amenity
• Mentioning number of bedrooms
• "Pet-friendly" (pets are not a protected class)

Category 2: Religion Violations

Scan for these patterns:

• Church, temple, mosque, synagogue, shul, chapel, cathedral
• Religious holidays (Christmas, Hanukkah, Easter, Ramadan, Diwali, etc.)
• Religious symbols or references ("blessed", "God", "prayer")
• Houses of worship as proximity landmarks
• Religious school names

What is OK:

• Street names that happen to contain religious words (Church St, Temple Ave)
• Historical building names with religious origins

Category 3: National Origin / Race Violations

Scan for these patterns:

• "diverse", "diversity", "multicultural", "multi-cultural"
• "ethnic", "ethnicity" in neighborhood descriptions
• Specific nationality/ethnicity references in neighborhood descriptions (Mexican, Chinese, Polish, Italian, Korean, etc. — when used to describe neighborhood character)
• Named ethnic restaurants/businesses used to characterize neighborhood demographics
• "exclusive", "restricted", "private" (in discriminatory context)
• "integrated", "segregated", "changing neighborhood"
• Descriptions of neighborhood racial/ethnic composition
• "master bedroom", "master suite", "master bath" (flag as LOW severity, recommend "primary")

What is OK:

• Cuisine type in a restaurant name that is a proper noun
• General "variety of dining options" without specifying ethnicities
• Cultural district names that are official geographic designations

Category 4: Sex / Gender Violations

Scan for these patterns:

• Gender-specific school names as selling points
• "bachelor pad", "man cave"
• Gender-specific marketing language
• "his and hers" (closets, bathrooms)

What is OK:

• Gender-neutral descriptions of all amenities
• "walk-in closet" (neutral)

Category 5: Disability Violations

Scan for these patterns:

• "able-bodied", "physically fit"
• "no wheelchairs", "must be able to climb stairs"
• "handicapped" (use "accessible" instead)
• Exclusionary language around mobility
• "normal" used to contrast with disability accommodations

What is OK:

• "Wheelchair accessible", "ADA compliant", "accessible entrance"
• Listing accessibility features factually
• "Elevator access"

Category 6: General HUD Advertising Guidelines

Scan for:

• Missing Equal Housing Opportunity statement on ANY page
• Missing EHO logo
• Inconsistent EHO statements across pages
• Dead links for Privacy Policy or Terms (trust signals)
• "Exclusive" used in ways that could imply discrimination
• "Desirable neighborhood" (could imply racial preference)
• Neighborhood safety descriptions that code for demographics ("safe area", "low crime", "good neighborhood")
• Human model descriptions or images that specify or imply race
• "Walking distance to [place of worship]" used as a selling point

Severity Levels

Evidence Collection

Step 1 — Fetch All User-Facing Content

Use fetch_page.py and parse_html.py (or read_url_content) to collect:

• All page body text (headings, paragraphs, lists, buttons, alt text)
• Meta descriptions and title tags
• Footer content (EHO statement check)
• Neighborhood/location description sections
• Amenity lists and descriptions
• Marketing copy and CTAs
• Blog posts and news articles on the domain

Step 2 — Run Pattern Matching

Apply the regex patterns below against all collected content. For each match:

1. Record the exact text matched
2. Record the file/URL and line number (or DOM location)
3. Classify the protected class violated
4. Assign a severity level
5. Draft a recommended fix

Step 3 — Check EHO Presence

On every page of the site, verify:

• Equal Housing Opportunity text statement is present
• Equal Housing Opportunity logo is present (check for img tags with alt text containing "equal housing")
• Statement/logo placement is consistent across all pages
• Statement is not hidden (no display:none, visibility:hidden, opacity:0)

Regex Patterns for Automated Scanning

import re

# Category 1: Familial Status
FAMILIAL_STATUS = re.compile(
    r'(?i)\b('
    r'family[- ]friendly|family[- ]oriented|'
    r'ideal for families|perfect for families|great for families|'
    r'great for singles|ideal for singles|'
    r'singles (community|only)|'
    r'adult[s]? (only|community)|'
    r'no children|child[- ]?free|'
    r'family[- ]sized|'
    r'youngest members|your kids will love|bring the kids'
    r')\b'
)

# Category 2: Religion
RELIGION = re.compile(
    r'(?i)\b('
    r'church|temple|mosque|synagogue|shul|chapel|cathedral|'
    r'prayer room|worship|'
    r'christmas|hanukkah|easter|ramadan|diwali|'
    r'blessed|prayer'
    r')\b'
)

# Category 3: National Origin / Race
NATIONAL_ORIGIN_RACE = re.compile(
    r'(?i)\b('
    r'diverse|diversity|multicultural|multi-cultural|'
    r'ethnic neighborhood|exclusive community|'
    r'restricted|segregated|changing neighborhood'
    r')\b'
)
MASTER_TERMINOLOGY = re.compile(
    r'(?i)\b(master bedroom|master suite|master bath)\b'
)

# Category 4: Sex / Gender
SEX_GENDER = re.compile(
    r'(?i)\b(bachelor pad|man cave|his and hers)\b'
)

# Category 5: Disability
DISABILITY = re.compile(
    r'(?i)\b('
    r'able[- ]bodied|handicapped|'
    r'must be able to|no wheelchair|'
    r'physically fit'
    r')\b'
)

# Category 6: EHO Presence (check for ABSENCE)
EHO_STATEMENT = re.compile(
    r'(?i)(equal housing opportunity)'
)

Output Format

Finding Table

For each finding, produce a row in this table:

| # | Severity | Page/File:Line | Protected Class | Exact Text | Recommended Fix |
|---|----------|----------------|-----------------|------------|-----------------|
| 1 | HIGH | /apartments:42 | Familial Status | "perfect for families" | Remove; describe amenities factually |
| 2 | MEDIUM | /neighborhood:18 | National Origin | "diverse neighborhood" | Replace with factual descriptions of nearby amenities |
| 3 | LOW | /floorplans:7 | Race (best practice) | "master bedroom" | Replace with "primary bedroom" |

Summary Block

## FHA Compliance Summary

| Metric | Value |
|--------|-------|
| Pages scanned | [N] |
| Total findings | [N] |
| HIGH severity | [N] |
| MEDIUM severity | [N] |
| LOW severity | [N] |
| EHO statement present | [Yes/No — list pages missing] |
| EHO logo present | [Yes/No — list pages missing] |
| Overall compliance | [PASS / FAIL / NEEDS REVIEW] |

Compliance Verdict

• PASS: Zero HIGH findings, zero MEDIUM findings, EHO present on all pages
• NEEDS REVIEW: Zero HIGH findings but MEDIUM or LOW findings exist
• FAIL: Any HIGH finding, or EHO statement missing from any page

Integration with SEO Audit

This check runs as part of the Compliance section (Section 8) of any full SEO audit on housing websites.

Checklist for Full Audit Integration

• No FHA-violating language across all 7 protected classes
• Equal Housing Opportunity statement on EVERY page
• Equal Housing Opportunity logo present on EVERY page
• No neighborhood demographic descriptions
• No religious references in amenity or location marketing
• No familial status targeting in copy
• No gender-specific language
• No disability-exclusionary language
• Privacy Policy page exists and is linked
• Terms of Service page exists and is linked

Scoring Weight

When integrated into a full SEO audit score:

• FHA compliance should be scored as a binary pass/fail — it is not a gradient
• A FAIL on FHA compliance should flag the entire audit as requiring legal review
• FHA findings should appear in the audit's "Critical Issues" section regardless of overall SEO score

QA Gate

Before delivering FHA compliance results:

1. Tier 1 — Pattern match verification: Confirm each regex match is a true positive (not a street name, proper noun, or quoted content)
2. Tier 2 — Context analysis: LLM reads surrounding text to determine if flagged term is used in a discriminatory context vs. neutral/factual context
3. Tier 3 — False positive filtering: Remove flags where the term is clearly non-discriminatory (e.g., "Church Street" address, accessibility feature listing)

Confidence Labels

• Confirmed: Pattern matched AND context analysis confirms violation
• Likely: Pattern matched, context is ambiguous, conservative flag
• False Positive: Pattern matched but context is clearly non-discriminatory (remove from findings)

Key Legal References

Notes

• This skill is CONSERVATIVE by design — flag and clear is safer than miss and litigate
• FHA violations can result in HUD complaints, lawsuits, fines up to $16,000+ per violation (first offense), and reputational damage
• State and local fair housing laws may add protected classes beyond the federal seven
• When in doubt, use neutral, factual descriptions of amenities and location
• Always describe WHAT the building offers, never WHO it is for
• This is not legal advice — recommend clients consult a fair housing attorney for final review
• "55+ community" / "senior housing" exemptions exist under HOPA (Housing for Older Persons Act) but require strict compliance with HOPA criteria; do not assume exemption without verification