The AI search readiness checklist for cash-pay specialty clinics
A 35-point structural checklist every cash-pay clinic must clear to be consistently cited by ChatGPT, Perplexity, Gemini, and Google AI Overviews. Pass-fail per item with priority ranking.
Layer 1: Retrieval readiness (8 checks)
Short answer. Layer 1 ensures the AI crawler can reach and parse the clinic site. Failures at this layer make all subsequent work invisible. Run the curl test first; if you fail curl, no other check matters until you rebuild on a server-side rendered architecture.
- curl test passes (clinic name, providers, services, pricing visible in plain HTML on first response)
- TTFB under 400 milliseconds (target under 200ms)
- HTTPS clean with no mixed content warnings
- No login gate on public content
- robots.txt with explicit Allow for GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Bingbot, Applebot, CCBot
- llms.txt at domain root, under 3,000 tokens, with 8-15 quotable Q&A pairs
- ai.txt declaring training, retrieval, citation permissions
- sitemap.xml with per-page lastmod metadata
Layer 2: Semantic clarity (12 checks)
Short answer. Layer 2 ensures the AI engine can understand what the clinic does, who serves there, and what each page means. Schema depth is the primary work. Vertical-specific entities beat generic LocalBusiness on every credential-anchored, drug-anchored, and procedure-anchored prospect query.
- MedicalClinic Schema.org entity (not just LocalBusiness)
- Full PostalAddress with streetAddress, addressLocality, addressRegion, postalCode, addressCountry
- GeoCoordinates with latitude and longitude
- openingHoursSpecification per day of week
- Physician entity per provider with hasCredential array (board certification, state license, fellowship)
- Drug entity per medication-based protocol (semaglutide, tirzepatide for GLP-1; specific products for med spa)
- MedicalProcedure entity per service offered
- Offer schema for every cash-pay program with UnitPriceSpecification
- Accreditation as memberOf (Joint Commission, AAAASF, AAAHC, CARF, LegitScript depending on vertical)
- FAQPage schema matching visible FAQ content
- BreadcrumbList on every non-home page
- WebPage with breadcrumb, mainEntity, speakable references
Layer 3: Citation optimization (8 checks)
Short answer. Layer 3 ensures the content structure makes individual sentences quotable in isolation. Answer Capsules (40-60 words under each H2) are the primary citation extraction unit. Programmatic city pages multiply citation surface area.
- Answer Capsule (40-60 words) under every H2 across the site
- Island Test: each 134-167 word passage stands alone with no broken references
- Unresolved Reference Rate below 5 percent
- Fact density 6+ verifiable facts per 100 words on research and methodology pages
- Programmatic city pages (8-15 minimum) for clinic catchment
- 10 launch articles drafted with Answer Capsule format
- Citation tracking infrastructure across ChatGPT, Perplexity, Gemini, Google AI
- Recency cadence: weekly or bi-weekly content with dated lastReviewed metadata
Vertical compliance checks (4 items)
- HIPAA-compliant patient information handling on intake forms and patient portals
- FDA compliance on any drug-related claims (no off-label promotion, no compounding misrepresentation)
- FTC compliance on endorsement disclosure for influencer or compensated content
- State medical board advertising rules per state (varies by state; verify against specific state Board rules)
Ongoing maintenance (3 items)
- lastReviewed metadata updated quarterly minimum per page
- RSS feed with content:encoded full body publication
- Content velocity: minimum 2 substantive content updates per month
How to use this checklist
Run each check sequentially. Layer 1 first. If any Layer 1 item fails, fix Layer 1 before progressing. Layer 2 second. Layer 3 third. Compliance and maintenance are ongoing.
KailxLabs ships every item on this checklist as part of the $5,999 Foundation Build. Operators preferring to implement directly have the open framework.