The Question We Keep Getting Asked
"Are you handling AI search? Are we showing up in ChatGPT? What about Gemini? Claude? Grok?"
It's the most common question we're fielding right now — and understandably so. A new wave of vendors is cold-calling private practice physicians with alarm-bell pitches about being invisible to AI. Some are calling it AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization). Whatever the label, the underlying question is legitimate: How does your practice get surfaced when a patient — or a referral partner — asks an AI assistant about your specialty, your location, or your services?
Here's exactly what we do about it.
1. Content at Scale
AI systems don't guess. They read. When a language model like ChatGPT, Google Gemini, Claude, or Grok generates an answer about a medical topic or a local physician, it draws from indexed web content — and the practices with the most comprehensive, well-structured content win.
When we build or rebuild a practice website, we typically create 100 or more pages of original content covering conditions treated, procedures offered, physician backgrounds, patient FAQs, and educational blog posts. This gives every major AI system — and Google — a rich, crawlable body of information that clearly establishes who you are and what you do.
Thin websites with five pages don't get cited. Authoritative content libraries do.
2. The LLMs.txt File
There is an emerging standard — similar in concept to the longstanding robots.txt file — called LLMs.txt. It lives at a predictable location on your website and serves as a structured briefing document for AI systems that crawl your site.
We implement this file on every custom-built practice website we manage. It dynamically updates to always reflect the most current and relevant information about your practice: conditions treated, services offered, blog topics, physician credentials, and more.
Think of it as a cover letter addressed directly to ChatGPT, Gemini, Claude, Grok, Perplexity, and any other AI system that comes knocking. It tells them exactly who you are, what your practice does, and what kind of information is available on your site — in a format they're specifically designed to read.
3. Structured Data and Rich Snippets
Behind every page on your website, there is hidden code that speaks directly to search engines and AI systems. This is called structured data or schema markup, and it produces what Google calls Rich Snippets — machine-readable signals that describe who you are, what you offer, and how to reach you.
We implement structured data across every page type: your homepage, physician profile pages, service and condition pages, blog posts, and more. Each page type carries its own schema — a physician page includes board certifications and specialty designations; a service page includes procedure details and clinical context; a blog post includes authorship and publication date.
Google Gemini, ChatGPT's browsing tools, and other AI systems all use this structured data when constructing answers. If the code isn't there, the signal isn't there.
4. Business Listing Syndication
AI systems don't rely solely on your website. They also aggregate signals from third-party directories, review platforms, and data providers across the web. This is why NAP consistency — your Name, Address, and Phone number — matters so much in the context of AI visibility, not just traditional SEO.
We use enterprise-grade listing syndication to push accurate, consistent business information about your practice to hundreds of platforms simultaneously. This includes the major directories, healthcare-specific listings, data aggregators, and the sources that AI systems routinely reference when verifying whether a business is legitimate and worth surfacing.
When every source says the same thing about your practice — same name, same address, same phone, same services — AI systems gain confidence in your data and are more likely to include you in relevant responses.
Why This Matters More in Healthcare
AI systems apply higher scrutiny to health-related content. Google formalized this years ago under the concept of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness), and every major AI model has internalized similar quality filters. A personal injury attorney or a pizza shop can get away with a thin web presence. A physician cannot.
For private practice doctors, AEO isn't about gaming an algorithm. It's about building a digital presence credible enough that AI systems treat you as a trustworthy source — the same way a knowledgeable colleague would recommend you based on your reputation, your credentials, and the depth of your expertise.
What We Don't Do
We don't charge extra for AEO as though it's a separate product. We don't send panic emails warning you that you're invisible to AI when we haven't looked at your website. And we don't make promises about ranking #1 in ChatGPT because no one controls that — not us, not anyone.
What we do is build practices the right way from the start: deep content, clean code, structured data, consistent listings, and a dynamic LLMs.txt file that keeps AI systems informed as your practice evolves. AEO isn't a bolt-on. It's the result of doing everything else correctly.
The Bottom Line
If someone is pitching you on AI search visibility without having reviewed your website, your listings, or your content — they're selling fear, not strategy. The practices showing up in ChatGPT, Gemini, Claude, and Grok aren't there because of a magic plugin. They're there because they built a credible, comprehensive, well-structured digital presence.
That's what Doctor Rebrand builds. If you want to know where you stand, start there.