Make Your Healthcare Company Citable by AI Search

Your practice likely invested in a modern website on WordPress or Webflow and hired a marketing agency. That agency focuses on Google keywords like "best physical therapist in Denver" and writes blog posts for human readers. This strategy is perfectly logical for traditional search but is completely invisible to the AI crawlers that power ChatGPT, Claude, and Gemini.

Consider this scenario: a potential patient asks ChatGPT, "I have runner's knee and want to avoid surgery, what are my treatment options in Dallas?" The AI scans its index for content that explicitly lists non-surgical treatments for that specific condition and connects them to a provider. Your blog post titled "5 Tips to Manage Knee Pain" is too general. The AI cannot confidently extract that your clinic is a specialist offering specific treatments like platelet-rich plasma therapy or advanced physical therapy, so it recommends a competitor whose site provides that data in a structured format.

The structural failure is that most websites are built with narrative marketing copy. This prose is designed to persuade humans, but for an AI crawler like GPTBot, it is just a wall of unstructured text. Without semantic HTML tables to organize treatment options and JSON-LD schemas like `MedicalBusiness` to label your services, the crawler cannot parse your expertise. It skips your site in favor of one that presents its information as clear, machine-readable facts.

The consequence is that your marketing budget is being spent on a shrinking channel. You are invisible to the rapidly growing number of patients who start their research with conversational AI. While competitors are being cited as authoritative sources, your practice does not even enter the consideration set.

The process begins with an audit of your core services and the 15-20 questions your ideal patients ask. Syntora maps your medical expertise to the specific, problem-oriented queries people type into AI assistants. This creates a content architecture designed for citation, not just for ranking on a keyword. You receive this citation map before any development starts.

We then build pages designed for machine extraction, a method proven by Syntora's own lead generation. Each page opens with a citable, two-sentence answer. Key data like conditions treated, available procedures, and accepted insurance plans are formatted in semantic HTML tables. We implement `Article`, `BreadcrumbList`, and `FAQPage` JSON-LD to explicitly define the page's content for crawlers from the 9 engines we monitor, including GPTBot and PerplexityBot. The system is built with zero filler, purely for data extraction.

The delivered system consists of a set of AEO-optimized pages that live on your existing domain. These pages require no ongoing work from your staff. You receive a weekly 9-engine Share of Voice report that shows precisely when and where your practice is being cited by AI. This provides direct, measurable proof of your visibility in this new discovery channel.