We publish health content with licensed physicians on staff. Our E-E-A-T signals seem strong:
But our AI visibility for health queries is lower than competitors.
Questions:
This matters because misinformation in our space is dangerous. We want to be the trusted source AI cites.
Yes, AI applies higher standards for YMYL content. Here’s what we’ve documented:
YMYL-specific AI evaluation criteria:
| Signal | Standard Content | YMYL Content |
|---|---|---|
| Author credentials | Helpful | Required |
| Source citations | Good practice | Expected |
| Recency | Moderate importance | Critical |
| Expert consensus alignment | Preferred | Required |
| Factual accuracy | Important | Non-negotiable |
| Organizational credibility | Supporting | Primary |
What AI systems specifically check for YMYL:
Why competitors might be winning:
Your E-E-A-T might be strong but not visible to AI:
AI credential verification methods:
1. Cross-reference with known databases:
2. sameAs schema connections:
3. External mention analysis:
4. Entity knowledge graph:
How to strengthen verification:
{
"@type": "Person",
"name": "Dr. James Smith",
"jobTitle": "Board Certified Cardiologist",
"sameAs": [
"https://linkedin.com/in/drjamessmith",
"https://www.doximity.com/pub/james-smith-md",
"https://hospital.edu/doctors/james-smith"
],
"hasCredential": [
{
"@type": "EducationalOccupationalCredential",
"name": "MD",
"credentialCategory": "degree"
},
{
"@type": "EducationalOccupationalCredential",
"name": "Board Certification - Cardiology",
"recognizedBy": {
"@type": "Organization",
"name": "American Board of Internal Medicine"
}
}
]
}
If AI can find your author on LinkedIn, hospital staff page, AND medical directory - trust increases significantly.
Real experience from medical publishing:
What moved our AI citations:
| Change | Impact |
|---|---|
| Added sameAs links to verified medical profiles | +35% citation rate |
| Medical review board schema added | +20% |
| Updated all content within 12 months | +25% |
| Primary source citations (journals, not news) | +30% |
| Clear “last reviewed” dates | +15% |
The surprising gaps we found:
Fix priorities:
Medical content formula:
Author credentials + verifiable profiles + primary sources + recent review = AI trust
Finance YMYL perspective:
Financial content specific requirements:
Regulatory compliance disclosure
Author credential specificity
Source requirements
AI sensitivity in finance:
AI is extremely cautious with:
What works for finance AI visibility:
The audit question:
Would this pass compliance review at a major financial institution? If not, AI will be cautious citing it.
Legal YMYL observations:
What AI evaluates for legal content:
| Signal | Importance |
|---|---|
| Bar admission | Critical - verifiable |
| Practice area match | High - topic alignment |
| Jurisdiction clarity | Critical - law varies |
| Update frequency | High - law changes |
| Disclaimers | Required |
The jurisdiction challenge:
Legal AI content must be clear about:
Successful legal content formula:
“[General principle]. Under [specific jurisdiction] law as of [date], [specific rule]. This may vary by state/situation. Consult a licensed attorney for your circumstances.”
Credential signaling for lawyers:
AI is conservative with legal:
AI often declines to give legal advice, preferring to cite informational content. Position yourself as educational, not advisory.
Technical trust signals for YMYL:
Page-level signals:
Prominent bylines
Review attribution
Source transparency
Update signals
Schema for YMYL:
{
"@type": "MedicalWebPage",
"specialty": "Cardiology",
"author": {...},
"reviewedBy": {
"@type": "Person",
"name": "Dr. Review Person",
"hasCredential": [...]
},
"lastReviewed": "2025-12-01",
"mainContentOfPage": {...}
}
Trust architecture:
Homepage → About/Team → Author Pages → Content
Each page should link to the next level of credential verification.
Testing YMYL AI trust:
How to audit your YMYL AI visibility:
Query AI about your topics “What are the symptoms of [condition]?” Note: Are you cited? How characterized?
Query AI about your authors “Who is Dr. [Name]?” Note: Does AI know them? Accurate info?
Query AI about your organization “Is [Organization] a reliable source for health information?” Note: What does AI say about you?
Red flags in AI responses:
Green flags:
Monthly audit template:
| Query | Your Citation | Competitor Citation | Notes |
|---|---|---|---|
| [Topic 1] | Yes/No | Yes/No | |
| [Topic 2] | Yes/No | Yes/No |
Track over time to measure improvements.
This identified our gaps. Here’s what we’re fixing:
Gap 1: Author verification
Gap 2: Review process invisible
Gap 3: Secondary source citations
Gap 4: Schema incomplete
Gap 5: Update signals weak
Implementation plan:
Week 1-2:
Week 3-4:
Week 5-6:
Success metrics:
Key insight:
Our E-E-A-T was real but not visible to AI. Strong credentials mean nothing if AI can’t verify them.
Thanks everyone for the specific guidance!
Get personalized help from our team. We'll respond within 24 hours.
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