The landscape of patient discovery has shifted in ways that most healthcare practices are only beginning to understand. When a prospective patient asks ChatGPT or Perplexity to recommend a behavioral health provider in Los Angeles, the answer they receive is no longer shaped by a simple list of blue links. It is shaped by structured data, authoritative citations, and the kind of trusted digital presence that AI models recognize as credible. At Altitude, we work with practices navigating exactly this transition, and competitive benchmarking for GEO (Generative Engine Optimization) is one of the most powerful first steps any practice can take. This guide walks through a practical audit framework so your team can understand what local competitors are doing right in AI search and position your practice to be cited with confidence.
Identify your true GEO competitors
Generative Engine Optimization refers to the process of optimizing your digital presence so that AI-powered search tools, including ChatGPT, Perplexity, Google’s AI Overviews, and Bing Copilot, are more likely to surface your practice as a trusted source. Traditional SEO targeted keyword rankings on a results page. GEO targets the moment an AI model synthesizes an answer and decides which sources to cite or recommend. Your GEO competitors are not always the same as your traditional SEO competitors. A practice ranking on page two of Google may still be cited frequently by AI tools because of its citation profile, schema markup, or content authority.
How to build your competitor list
Start by running a series of high-intent queries in ChatGPT and Perplexity as if you were a patient searching in your city. Use prompts such as:
"What are the best outpatient behavioral health programs in Los Angeles?"
"Can you recommend a HIPAA-compliant telehealth psychiatry practice near me?"
"Which treatment centers in LA specialize in dual diagnosis?"
Who your real competitors are
Document every practice name that surfaces across multiple queries. These are your actual GEO competitors, the ones AI models already trust. Cross-reference that list with Google Maps results and your own knowledge of the local market to build a working competitor set of five to ten practices.
Audit their content authority and structure
Once your competitor list is established, the next phase involves a structured content audit. AI models prioritize content that demonstrates clear expertise, answers specific patient questions, and is organized in ways that are easy to parse and cite.
What to look for in competitor content
Visit each competitor’s website and evaluate the following elements:
Provider and staff pages
Do they include detailed bios with credentials, specializations, years of experience, and professional philosophy? AI models treat well-structured provider pages as signals of expertise and authority.
Service pages
Are their service pages written at a depth that answers real patient questions? A page titled “Outpatient Therapy” that includes session structure, insurance acceptance, and what to expect during an intake is far more likely to be cited than three generic paragraphs.
Blog and resource content
Look at the volume and quality of their published resources. Practices that consistently publish evidence-based, well-structured content are building the kind of citation-worthy authority that GEO rewards.
FAQ sections
Structured FAQ content maps directly to conversational AI queries. Detailed FAQs addressing treatment timelines, insurance questions, and clinical approaches do significant work in AI search.
Note the publication and update dates on competitor content, too. AI models tend to favor sources that demonstrate recency and ongoing maintenance. A competitor that updates their content quarterly is signaling active engagement with their audience, which matters to generative engines.
Examine their structured data and technical foundation
Content isn’t the whole picture
Content quality alone does not determine AI visibility. The technical layer of a competitor’s website plays a critical role in how AI models understand and categorize their practice.
Schema markup and structured data
Use tools like Google’s Rich Results Test or Schema Markup Validator to examine what structured data competitors are using. For healthcare practices, the most impactful schema types include:
MedicalOrganization or LocalBusiness schema with complete NAP details
Physician or MedicalClinic schema for individual providers
FAQPage schema on resource and service pages
BreadcrumbList schema for site navigation
A competitor with comprehensive, accurate schema markup is giving AI models a clear, machine-readable picture of who they are and what they treat. If your practice lacks this foundation, that alone can explain gaps in AI citation visibility.
NAP consistency across directories
AI models cross-reference information from multiple sources including Google Business Profile, Healthgrades, Psychology Today, SAMHSA’s treatment locator, and dozens of other directories. Inconsistent NAP data creates confusion for AI models and undermines citation trustworthiness. If a competitor has clean, consistent directory listings and your practice does not, this is a high-priority item to address.
Assess their off-site authority and citation profile
AI-powered search does not evaluate websites in isolation. It considers the broader ecosystem of where a practice is mentioned, linked to, and referenced across the web.
Backlink profile analysis
Use tools like Ahrefs, Moz, or Semrush to review the backlink profiles of your top competitors. Pay attention to:
Domain authority of linking sites: links from hospital networks, academic institutions, local news outlets, and professional associations carry more weight than generic directories
Healthcare-specific citations: are they referenced in mental health resource guides, professional directories like Psychology Today or Zocdoc, or local nonprofit wellness organizations?
Editorial mentions: has their practice been quoted in journalism, health content platforms, or peer-reviewed adjacent publications?
Google Business Profile optimization
Review how competitors have built out their Google Business Profile. Strong GEO performers typically have complete category selections aligned with their specialties, regular Google Posts on a consistent schedule, detailed service descriptions with clinical terminology, photos of facilities and staff, and a high volume of detailed, authentic reviews with timely responses.
Google Business Profile data is a primary input for AI models answering location-specific queries. A competitor with a fully optimized profile has a structural advantage that is both visible and replicable.
Synthesize your findings into a prioritized action plan
Turn the audit into action
Competitive benchmarking only creates value when it leads to action. After completing your audit, organize your findings into three categories.
Quick wins (30-60 days)
Correcting NAP inconsistencies across directories, adding schema markup to existing pages, expanding provider bios with credential and specialty details, and creating a structured FAQ section.
Content investment areas (2-4 months)
Service pages, condition-specific resource pages, and educational blog content that answers the exact questions patients ask AI tools. These require more sustained effort but yield compounding returns.
Authority building initiatives (longer-horizon)
Relationships with local healthcare organizations for editorial mentions, directory listings on high-authority healthcare platforms, and shareable research or resource content that earns natural backlinks.
The practices that will be consistently recommended by AI search tools over the next several years are the ones investing in their digital foundation today. Competitive benchmarking for GEO gives your team a clear, evidence-based picture of where opportunity exists and what it will take to close the gap.
See where you actually stand
Find out what your local competitors are doing that you are not
Altitude’s GEO audit benchmarks your practice against your real AI-search competitors, structured data, and citation profile, then builds a prioritized plan to close the gap.
Frequently asked questions
What's the difference between GEO competitors and traditional SEO competitors?
They often aren't the same practices. A practice ranking on page two of Google can still be cited frequently by ChatGPT or Perplexity because of its citation profile, schema markup, or content authority, factors that have little to do with keyword rankings. The way to find your true GEO competitors is to run the actual high-intent queries a patient would type into ChatGPT or Perplexity and see which practice names come up repeatedly. Those are the practices AI models already trust, and they're the right benchmark set, whether or not they rank well on Google.
How many competitors should I include in a GEO benchmarking audit?
Five to ten practices is a workable set for most local markets. Build the list by running a handful of realistic patient queries in ChatGPT and Perplexity, documenting every practice name that surfaces more than once, then cross-referencing that list against Google Maps results and your own knowledge of the local market. A smaller set keeps the audit focused; a larger one starts to dilute which gaps are actually worth closing first.
What schema markup matters most for AI citation visibility?
For healthcare practices, the highest-impact types are MedicalOrganization or LocalBusiness schema with complete NAP details, Physician or MedicalClinic schema for individual providers, FAQPage schema on resource and service pages, and BreadcrumbList schema for site navigation. Comprehensive, accurate schema gives AI models a clear, machine-readable picture of who you are and what you treat. A missing or incomplete schema layer is one of the most common, and most correctable, gaps behind a competitor's stronger AI visibility.
How often should I re-run a competitive GEO audit?
Quarterly is a reasonable cadence for most practices. AI models favor sources that show recency and ongoing maintenance, so competitors are actively publishing, updating schema, and building citations on an ongoing basis, not just once. A quarterly re-audit catches new entrants to your competitive set, tracks whether your quick-win fixes actually closed the gap, and surfaces new content or authority-building opportunities before a competitor locks them in.
What's the fastest way to close a GEO visibility gap with a competitor?
Start with quick wins that are typically closeable in 30 to 60 days: correcting NAP inconsistencies across directories, adding missing schema markup to existing pages, expanding provider bios with credentials and specialty details, and building out a structured FAQ section. These are foundational fixes rather than new content investments, which is why they tend to produce visible movement the fastest, before you move into the slower work of content depth and off-site authority building.