Built for AI Search
AI answer engines — ChatGPT search, Perplexity, Claude, Google AI Overviews — do not rank pages the way classic Google did. They retrieve, then synthesize. Pages that get retrieved share four traits: focused topic, freshness, query-matching headings, and machine-readable structure. Every claimed ChiropracticResults profile now checks all four boxes automatically. You do not have to touch a thing.
What changes for a claimed clinic
- Higher retrieval rank in AI answers when patients ask condition + location questions.
- Freshness signals kept current automatically — no more decaying profile authority.
- Structured data every AI crawler can parse (MedicalBusiness, FAQPage, MedicalWebPage, Article, plus outcome-level schema).
- Section headings rewritten to match how patients actually search.
The AEO thesis
The AirOps / Kevin Indig fan-out research made the shift concrete: LLM-mediated search dramatically favors focused pages whose headings mirror the query, and it penalizes generic directory pages that try to rank for everything. Chiropractic discovery has lived on generic directories for a decade. That model is losing right now, in real time, to condition-specific, outcome-backed, freshness-signaled pages.
We rebuilt the profile stack around that reality. What follows is exactly what we shipped — no black box.
What we shipped
Query-shaped H2s. Every clinic profile section — About, Patient Outcomes, Expert Insights, Reviews — now uses headings that match the phrasing a patient would type or ask an AI. Instead of "Patient Outcomes," the section reads "{Specialty} Patient Outcomes in {City}." Small change, meaningful retrieval lift.
Visible "Last updated" freshness labels on profiles, articles, and outcome detail pages. Humans see recency; crawlers see a signal.
dateModified schema everywhere. MedicalBusiness, FAQPage, MedicalWebPage, Article, plus every outcome page. This is the field AI crawlers use to decide whether a page is worth including in an answer.
90-day freshness threshold. Our testing puts the retrieval sweet spot inside 90 days. Anything older gets flagged for refresh; anything inside the window carries maximum weight.
Automated flagging. A scan runs every Monday at 06:00 UTC, identifies stale clinics and verified outcomes past 90 days, and logs them into a refresh queue. Duplicate flags inside a 7-day window are suppressed.
Background refresh worker. Flagged entries become jobs in a queue with proper state tracking — queued, processing, completed, failed, dead. Retries use exponential backoff (5 minutes → 30 minutes → 3 hours), with 3 attempts before dead-letter. A unique-active-per-entity guarantee prevents duplicate work. The worker runs every 15 minutes.
Admin freshness dashboard. Internal tooling that gives us 30 / 60 / 90-day buckets, live queue counts, error surfacing, and manual retry. Boring to look at, critical to run.
The moat is the outcome dataset and the verification pipeline. The plumbing above is table stakes — we published the details because chiropractic discovery deserves higher standards than directory-era SEO tricks.
What this means for chiropractors
If your practice is claimed on ChiropracticResults, you now inherit an AEO stack that most healthcare directories do not have and most local SEO agencies cannot build. Patients asking an AI "who is the best chiropractor for sciatica in {your city}" are increasingly served answers pulled from pages exactly like your CR profile — not from Yelp, not from a 10-year-old Google Business summary.
If your profile is not claimed yet, that is the single highest-leverage move you can make this quarter.
What is next
- Expanded programmatic outcome coverage across more conditions and techniques.
- Deeper condition → clinic entity graph so AI systems can traverse relationships, not just fetch pages.
- More visible "proof of freshness" surfaces that help patients trust what they are reading.
