Generative Engine Optimization for Healthcare (GEO)

Generative engine optimization (GEO) in healthcare is the work of making your practice's pages accurate, readable and worth citing, so that AI assistants such as ChatGPT, Google AI Overviews, Perplexity, Claude and Gemini name and cite you when patients ask, and then measuring whether they do. Researchers introduced the term in a 2023 paper (arXiv), and Google now says plainly that its AI features need no special tricks (Google). The part most practices skip is measurement, which is what Curve Compliance's AI Visibility provides. AI Visibility is a feature in Curve Compliance, and Curve also offers it as a managed service.

Want to see whether AI assistants name your practice for the questions your patients ask, and what those answers bring you? Book a call to see AI Visibility on your own questions, or to talk about the managed service.

Where GEO comes from

The term comes from a paper by Pranjal Aggarwal and five co-authors, first submitted to arXiv on November 16, 2023 and accepted to KDD 2024. It introduced Generative Engine Optimization as “the first novel paradigm to aid content creators in improving their content visibility in generative engine responses”. The authors built a benchmark of queries across domains and report that their methods raised visibility in generative engine responses by up to 40% in their tests. They also found that “the efficacy of these strategies varies across domains, underscoring the need for domain-specific optimization methods” (arXiv).

That last finding matters for healthcare. Health questions carry their own stakes and their own sources, so general GEO advice is a starting point, not a plan. For how GEO relates to SEO and AEO, see AEO vs GEO vs SEO.

What Google says works for its AI features

Google's AI features page is blunt: “There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.” (Google) Its guide to generative AI features then sets out what does help (Google). The main points, in Google's words:

• Unique, useful content comes first. “Creating content that people find unique, compelling, and useful will likely influence your website's presence in generative AI search in the long run more than any of the other suggestions in this guide.” Google also asks writers to “consider what in-depth experience you can bring to your content”, which is where clinicians have an edge.
• Be indexable, with snippets. To appear, “a page must be indexed and eligible to be shown in Google Search with a snippet”.
• Keep local details current. Google says Merchant Center and Google Business Profiles “can help your products and services to be visible in both AI responses and other Google Search results”.
• Don't mass-produce variations. Creating separate pages for every variation of a query “primarily to manipulate rankings or generative AI responses in Google Search violates Google's scaled content abuse spam policy”.
• Skip the special files. “You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search (including its generative AI capabilities), as Google Search itself doesn't use them.”

Google also warns about tools: “No third-party tool has access to our internal ranking or AI systems.” (Google) Curve's AI Visibility shows how often AI answers name and cite your practice for the questions your patients ask.

What ChatGPT, Perplexity and Claude say about reading your site

Outside Google, GEO starts with access. Each company documents its crawlers, and the search crawlers are the ones that decide whether your pages can be found and cited in answers.

Assistant	Crawler	What the company says	Source
ChatGPT	OAI-SearchBot	“OAI-SearchBot is used to surface websites in search results in ChatGPT’s search features.”	OpenAI
ChatGPT	GPTBot	“Disallowing GPTBot indicates a site’s content should not be used in training generative AI foundation models.”	OpenAI
Perplexity	PerplexityBot	“PerplexityBot is designed to surface and link websites in search results on Perplexity. It is not used to crawl content for AI foundation models.”	Perplexity
Claude	Claude-SearchBot	“Disabling Claude-SearchBot on your site prevents our system from indexing your content for search optimization, which may reduce your site's visibility and accuracy in user search results.”	Anthropic
Claude	Claude-User	“Disabling Claude-User on your site prevents our system from retrieving your content in response to a user query, which may reduce your site's visibility for user-directed web search.”	Anthropic

Blocking a training crawler is a choice about model training. Blocking a search crawler can keep you out of that assistant's search answers, so check your robots.txt before you write a word. See which AI crawlers a healthcare site should allow.

What makes GEO different in healthcare

Patients ask AI about their health at all hours. OpenAI reported in January 2026 that “seven in 10 healthcare conversations in ChatGPT happen outside of normal clinic hours” (OpenAI). When your front desk is closed, an assistant's answer may be the first thing a patient hears about you. That raises four healthcare-specific jobs:

• Get the facts right. An answer that gets your services, hours or insurance wrong sends patients to the wrong place. Curve's AI Visibility catches what AI gets wrong about your practice, so you can correct it on the pages AI reads. See what to do when AI gets your practice wrong.
• Keep clinicians in the loop. Pages on medical topics need clinical review. Curve's AI Visibility turns what it finds into a weekly roadmap sized to what your clinicians can publish, with medical topics flagged for clinical review.
• Answer local questions. Patients ask for care near them. Name the places you serve on your pages, and answer the local questions patients actually ask.
• Keep patients out of measurement. In Curve's AI Visibility, only the marketing question you track is sent to AI assistants, screened for PHI first, and never anything about a patient.

How to measure GEO

GEO without measurement is guesswork. Three numbers describe how AI answers treat you, and a fourth shows what those answers are worth:

• Mention rate. How often AI answers name you.
• Citation rate. How often AI answers cite a page on your site as a source.
• Share of voice. Your share of the mentions among the brands you compete with. See AI share of voice.
• Visits and bookings from AI. The visits from people who click a link in an AI answer, and the bookings those visits bring. See from AI search traffic to bookings.

Read all four as trends across weeks and across assistants, not as a single snapshot. Curve's AI Visibility reports them for the questions your patients ask. Every week you get a plain-language summary of what changed, and a one-page report to share.

A GEO plan sized to your team

1. Pick the questions. Start from the questions your patients ask, grouped into topics, and weight the ones where patients choose a provider: local, commercial and comparison questions.
2. Make sure AI can read you. Fix anything that stops AI search from reading your pages, such as a blocked search crawler or a page that hides its text behind JavaScript.
3. See who AI names. For each question, read which brands the answers name and which pages they cite. The cited pages show what AI treats as evidence on that topic.
4. Publish at a pace your clinicians can keep. Decide how many pieces your team can review and publish each week, and hold to it. A few strong pages beat a page per query.
5. Measure before and after. For each page you publish, compare mention rate on its questions, AI visits to the page and the bookings from them, before and after.

What This Looks Like in Practice

In one AI Visibility program we've run, for a HIPAA-focused healthcare software brand, Curve's team tracked the questions buyers ask AI assistants, found where competitors were named and the brand wasn't, and published pages to close those gaps. About five weeks in:

• AI assistants named or cited the brand in 53% of their answers to its 40 core buyer questions (104 of 196), across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity and Claude.
• Across 184 real buyer questions and 912 AI answers, its site was cited in 236 answers, more than any competitor's and more than 2.5 times as many as the nearest one (89).
• 47 of the new pages were already cited by AI assistants within six days of going live.
• One new page brought in more than half of the brand's unpaid ChatGPT visits in its first week.

How Curve Compliance helps

AI Visibility is a feature in Curve Compliance, and Curve also offers it as a managed service. It ties AI answers to the visits and bookings they bring you. It turns what it finds into a weekly roadmap sized to what your clinicians can publish, with medical topics flagged for clinical review. It shows where competitors are named and you aren't, who leads each topic, and which sources AI cites. It measures what each published piece changes. See AI Visibility in Curve and what AI visibility is.

With the managed service, Curve's team sets up your questions, competitors and topics, writes the pages on your roadmap, and makes the technical fixes that help AI assistants read your site. Your clinicians review and approve anything medical before it goes live. If your developer manages your site, Curve's team hands them the exact fixes. Each month, Curve's team walks you through your results on a call and sends a one-page report. AI Visibility is available on request: book a call to get started.

Beyond AI Visibility, Curve Compliance replaces browser ad pixels with one script, sends conversions server-side to Meta, Google Ads, TikTok, Microsoft Advertising and LinkedIn, and strips PHI before data reaches an ad platform. Curve is SOC 2 Type II and signs a BAA on every plan (Directory entry).

Sources, checked November 2, 2026: Aggarwal et al., GEO: Generative Engine Optimization (arXiv 2311.09735); Google Search Central, Optimizing your website for generative AI features on Google Search; Google Search Central, AI features and your website; OpenAI, Overview of OpenAI Crawlers; Perplexity Crawlers; Anthropic, Does Anthropic crawl data from the web; OpenAI, AI as a Healthcare Ally (January 2026).

Frequently Asked Questions

What is generative engine optimization in healthcare?

Generative engine optimization in healthcare is the work of making a practice's pages accurate and readable enough that AI assistants name and cite it when patients ask, and measuring whether they do. Curve Compliance's AI Visibility does the measuring.

Is GEO different for healthcare?

Yes, in four ways: accuracy carries more weight, medical pages need clinical review, local questions matter, and measurement must keep patient data out. The GEO paper itself found that results vary by domain (arXiv), and Curve Compliance's AI Visibility flags medical topics for clinical review and screens the questions it tracks for PHI first.

Do I need special markup or an llms.txt file for GEO?

Not for Google, which says you don't need new machine readable files, AI text files or markup for its generative AI features (Google). Structured data still helps with rich results, and other systems may read an llms.txt file.

How do I measure GEO results?

Track mention rate (how often AI answers name you), citation rate (how often they cite your site) and share of voice (your share of the mentions among the brands you compete with) for your patients' questions across several assistants over time, and follow AI visits through to bookings. Curve Compliance's AI Visibility does all of this for you.

Which AI assistants should a healthcare practice track?

Track the assistants your patients use. AI Visibility shows how often AI assistants, including ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Claude and Gemini, name and cite your practice for the questions your patients ask.

Is GEO the same as SEO?

They overlap heavily. Google says optimizing for generative AI search “is optimizing for the search experience, and thus still SEO” (Google). What GEO adds is measuring how assistants name and cite you, which Curve Compliance's AI Visibility does; see AEO vs GEO vs SEO.

Does Curve send patient data to AI assistants?

No. In Curve Compliance's AI Visibility, only the marketing question you track is sent to AI assistants, screened for PHI first, and never anything about a patient.

Can Curve run AI Visibility for us?

Yes. Curve's team can run it for you as a managed service. AI Visibility is available on request: book a call to get started.

Talk to Curve Compliance

Want a GEO plan built on how ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Claude and Gemini actually answer your patients? Book a call to see AI Visibility on your own questions, or to talk about the managed service.