How do healthcare and life sciences companies get cited by ChatGPT and other AI assistants?
Healthcare and life sciences companies get cited by ChatGPT and other AI assistants by publishing clear, crawlable reference content that answers real questions accurately, and by being described the same way across trusted outside sources. There is no paid placement inside AI answers. For a regulated company, the harder part is making that content quotable without breaking promotional rules.
- Be crawlable and indexed: Google says AI Overviews need no special markup, only pages eligible to show in Search with a snippet.
- Allow the right crawlers: OpenAI says allowing OAI-SearchBot in robots.txt helps a site appear in ChatGPT search.
- Write reference pages, not promotions: plain-language explainers, specifications, evidence summaries and glossaries get quoted.
- Keep claims inside the rules: FDA fair-balance and FTC substantiation rules still apply to pages written for AI.
- Every practice welcome — retainers from $499/mo, Goals-Driven engagements, Performance-Linked Payout Models available.
- Dallas, Texas LLC
- US client team · Central Time (CST)
- 25+ US healthcare clients
- BAA signed with every client
- HIPAA compliance training across client and delivery teams
- Contracts and invoices in USD
-
Primary Care · North Dallas, TXCase study →
-
MedSpa · North Dallas, TX
-
Skin Care · Beverly Hills, CA
-
Dental · Christiansburg, VACase study →
-
Pediatrics · Blacksburg, VACase study →
-
Pediatric Dentistry · Blacksburg, VACase study →
-
Dental · Roanoke, VACase study →
-
Functional Medicine · Telehealth · USACase study →
“They were able to get all my ideas and work with me over a period of three to four months and create this amazing website. It's super customized, very modern, and it incorporates all the elements that I had wanted — the patient portal, nice pictures, a very interactive website, patient reviews. I would highly recommend their company to anyone who wants to make an excellent website.”
How do AI assistants decide which companies to cite?
AI assistants that search the web retrieve pages they can access, then quote the ones that answer the question most directly and credibly. A company is cited when its page is reachable, clearly written, and consistent with what other trusted sources say. A company that blocks crawlers or hides content in PDFs is easy to skip.
Two official statements set the baseline. Google's guidance on AI features says a page must be indexed and eligible to show in Search with a snippet, and that there are no additional technical requirements or special schema for AI Overviews. OpenAI's crawler documentation says OAI-SearchBot is used to surface websites in ChatGPT's search features, and recommends allowing it in robots.txt. Its separate GPTBot crawler relates to model training, so a company can make different choices for each.
What AI answers tend to draw on
- Your own site, if it is crawlable and answers the question in text.
- Government and registry sources, such as FDA databases and ClinicalTrials.gov.
- Peer-reviewed publications and professional society pages.
- Trade press, analyst coverage and well-maintained reference sites.
When those sources disagree about your company, assistants tend to hedge or omit you. Consistency across them is part of the job.
What content should a life sciences company publish to be cited?
Publish reference content that a buyer, clinician or journalist would want to quote: what the product is, who it is for, how it works, what the evidence shows, and how it compares with the category in neutral terms. Each page should answer one question in its first paragraph. Keep the key facts in HTML text, not images or slide decks.
| Asset | Why AI assistants cite it | Compliance check before publishing |
|---|---|---|
| Category explainer | Answers "what is" questions in neutral language | No product claims hidden inside general education |
| Product fact page | Gives specifications, indications or intended use in one place | Matches approved labeling or cleared intended use exactly |
| Evidence summary | Summarizes published studies with citations | Presents limitations and risks with comparable prominence |
| Glossary and FAQ hub | Short, self-contained definitions are easy to lift | Medical-legal review of every answer, not only the hub page |
| Company and leadership pages | Confirms who you are, where you operate and what you make | Consistent names, addresses and descriptions everywhere |
Our guide to getting cited in AI Overviews and ChatGPT covers page structure in detail. The US healthcare AI Overview citation study shows what kinds of sources Google's AI answers lean on.
Do FDA and FTC rules apply to content written for AI search?
Yes. A page does not escape promotional rules because its intended reader is an AI system. If it promotes a prescription drug, FDA expects fair balance between benefits and risks. If it makes health claims for a supplement or device sold to consumers, the FTC expects competent and reliable scientific evidence. Confirm specifics with regulatory counsel.
- Prescription drugs: FDA's Office of Prescription Drug Promotion oversees promotional materials. FDA judges the overall impression of a piece, not just individual sentences.
- Enforcement climate: in September 2025 FDA announced a crackdown on deceptive drug advertising, including thousands of warning letters and about 100 cease-and-desist letters, and noted concern about digital and influencer promotion.
- Supplements: structure/function claims need the FDA disclaimer and must not claim to diagnose, treat, cure or prevent disease.
- Misinformation: FDA's July 2024 revised draft guidance describes "tailored responsive communications" that firms may use to address internet misinformation from independent third parties. Whether it fits an inaccurate AI answer is a question for counsel.
A practical rule: if you would not put the sentence in a reviewed brochure, do not put it on a page meant for AI.
Who should own AI visibility inside a healthcare company?
One senior marketing owner, working with medical, regulatory and legal reviewers. AI visibility touches the website, PR, scientific communications and SEO at once. Without a single owner, each team assumes another is handling it. A fractional CMO can fill that role when a company has no full-time marketing leader.
- Baseline: ask the main assistants twenty to thirty questions buyers ask, and record who is named and what is said about you.
- Fix access: review robots.txt, indexing and key content trapped in PDFs.
- Build the reference set: category, product, evidence and FAQ pages through medical-legal review.
- Align outside sources: correct outdated descriptions in directories, trade profiles and press materials.
- Re-measure: repeat the same questions monthly and track changes in who is cited.
Where PR and medical affairs fit
Outside coverage matters because assistants look for agreement. A press release, a conference abstract and a trade profile that describe the product in the same plain terms reinforce each other. Coordinate with medical affairs so public pages use the same accurate, reviewed terminology, while keeping promotional and scientific-exchange materials in their proper review tracks. Keep one approved company description and one approved product description, and use them everywhere.
Expect slow, uneven progress. AI answers change often, and no one can guarantee a citation.
How does Ichelon Consulting US help companies get cited by AI?
Santosh Reddy, Partner, Ichelon Consulting US, serves as fractional CMO for healthcare and life sciences companies and can own the AI visibility program end to end. Plans are $1,000/month (Advisory), $1,500/month (Growth) and $2,000/month (Embedded). Execution such as content and AI search optimization is scoped separately. See Santosh's profile.
The fractional CMO for healthcare companies page explains each plan. Goals are agreed monthly and tracked on Ichelon Agency OS with a Monday report, and we sign a BAA with every US client. Book a call with the US team to start with a baseline of what AI assistants say about you today.
Related pages from the US team
Fractional CMO for healthcare companies
Senior marketing leadership from Ichelon Consulting US.
Getting cited in AI Overviews and ChatGPT
Page structure that AI answers can quote.
US healthcare AI Overview citation study
Which sources Google's AI answers rely on.
AI search optimization for healthcare
Our AEO service for healthcare brands.
Every practice welcome — Goals-Driven engagements from $499/mo
We benchmark your last 90 days, agree monthly goals with you, and track them live on Ichelon Agency OS with a report every Monday. Performance-Linked Payout Models are available. Our US leadership is based in Dallas, and strategy calls run in US business hours.
Common questions
Can a pharma or medical device company pay to be cited in ChatGPT answers?
No. Organic citations in AI assistant answers cannot be bought. They depend on whether the assistant can access your pages and judges them a clear, credible answer to the question. The practical levers are crawler access, clear reference pages and consistent descriptions across trusted outside sources such as registries, publications and trade press.
Does a company need special schema or AI files to appear in Google AI Overviews?
Google says no. Its guidance on AI features states that a page must be indexed and eligible to appear in Search with a snippet, and that no special schema, AI text files or other markup is required. Standard practices still apply: let crawlers in, keep key content in text and link important pages internally.
Should a life sciences company block AI crawlers?
It depends on goals. OpenAI separates OAI-SearchBot, which surfaces sites in ChatGPT search, from GPTBot, which relates to model training. A company can allow the search crawler and block the training crawler. Blocking search crawlers usually means the assistant relies on other sources to describe your company.
Do FDA promotional rules apply to web pages written for AI search?
Yes. A page promoting a prescription drug is promotional material regardless of who or what reads it, so FDA expectations about fair balance and accurate presentation of risks still apply. Supplement and consumer device claims still need FTC-level substantiation. Every page should go through the same medical-legal review as other materials.
What can a company do if an AI assistant describes its product inaccurately?
Start by publishing a clear, accurate, crawlable page on the point and correcting outdated third-party sources the assistant may rely on. FDA's 2024 revised draft guidance on misinformation describes how firms may respond to third-party internet misinformation; whether it applies to an AI answer is a question for regulatory counsel.
A note on this guide: it explains marketing practice, not legal advice. Rules on privacy, advertising and insurance change and vary by state, so confirm anything compliance-related with your own counsel.
Want to know what AI assistants say about your company?
A 30-minute call with the US team. We'll run a baseline of buyer questions across the main assistants and show where you are missing or misdescribed.