Digital Marketing, Webdevelopment

How do I get my biopharma company found in ChatGPT?

10 practical steps for life sciences teams who want to be discoverable by investors, patients and partners in 2026

Biotech decision-making is changing fast. In 2026, people still use Google and Bing for high-intent, specific queries (“CDMO Belgium aseptic fill finish”, “ISO 13485 QMS consultant”, “Phase 2 oncology trial site list”). But when they want depth, they’re increasingly having a conversation with AI assistants: ChatGPT, Google’s Gemini inside AI Mode, Microsoft Copilot, Perplexity, etc.

That shift matters because “being visible” is no longer only about ranking #1 on a results page. It’s also about being included in the answer: cited, summarized, or recommended as a trusted option.

AI-powered search is now a mainstream “answer engine” experience rather than “10 blue links,” and regulators are already describing this transition as a major change in how information is accessed.

This guide is written for biotech and life science teams (founders, BD, marketing, investor relations) who want a clear playbook to improve their AI visibility, without falling into “AI hype” or risky compliance mistakes.

What it means to “rank in ChatGPT” (and why SEO still matters)

Modern assistants can answer using:

1. what they learned during training, and/or
2. live web search and citations (especially for timely or specific questions). OpenAI explicitly positions ChatGPT search as web-backed answers with links to sources.

So: classic SEO is still the feedstock. If your biotech website isn’t crawlable, indexable, and authoritative in normal search, it’s much less likely to be used in AI answers.

But in 2026, you also need “AI-ready” content: content that is easy to quote, evidence-forward, and clearly scoped (who you are, what you do, for whom, where).

How AI assistants decide what to mention

Think of AI selection as a combination of:

• Relevance: does your page directly answer the question?
• Evidence & trust: is it backed by credible sources, publications, recognized partners, independent mentions?
• Entity clarity: does the web consistently describe your company the same way (name, niche, focus area, locations)?
• Freshness: is your content current and maintained?
• Structure: is it formatted so a system can extract key facts (FAQs, headings, concise summaries, schema markup)?

Also note: major platforms are increasing their use of citations and source visibility in AI answers, which means the “best” pages are often the ones that are easiest to cite and verify. Microsoft explicitly highlights citations integrated into Copilot responses.

Why this becomes even more important in 2026

Three big reasons:

1. AI is moving deeper into search. Google is expanding AI Overviews and introducing AI Mode using Gemini capabilities inside Search.
2. ChatGPT is becoming a search destination. ChatGPT search is positioned as a direct way to get timely answers with sources, without a separate search engine step.
3. Compliance and governance pressure increases. In the EU, the AI Act becomes fully applicable on 2 August 2026 (with earlier milestones already in effect). Even if you’re not building AI, it affects procurement, risk conversations, and how enterprise buyers evaluate your AI-related claims.

For biotech, where credibility and risk management are everything, being “the company the assistant trusts to cite” will increasingly shape investor perception, partner shortlists, and patient awareness.

10 steps to get your biotech found in ChatGPT (investors, patients, clients)

1) Make your positioning unmissable (niche beats generic)

AI assistants love specificity.

Instead of:

“We innovate in healthcare.”

Use:

“We develop RNA therapeutics for rare metabolic diseases, currently in preclinical / Phase 1, with delivery platform X.”

Put this in:

• your homepage hero
• your “About” page
• your boilerplate (press kit)
• LinkedIn company description
• media mentions / partner pages

Our own principle: when you clearly state “biotech web design agency,” you become the obvious match when someone asks that exact niche question.

2) Build “answer blocks” with biotech FAQs (for each audience)

Create:

• a general FAQ hub (one page)
• context-specific FAQs on key pages

Separate by audience:

• Investors: funding stage, IP strategy, pipeline milestones, TAM, partnerships, risk factors
• Partners/clients: modalities, indications, platform capabilities, quality systems, timelines, service scope
• Patients/public: disease education (non-promotional), trial participation, support resources

Write each FAQ as:

• the question as a heading
• a 30–80 word direct answer first
• a deeper explanation below

This format is ideal for extraction and citation by answer engines.

3) Publish proof: citations, publications, posters, and data pointers

In life sciences, you can’t “market your way” into trust. You have to evidence your way into trust.

Create a “Science” or “Publications” section that includes:

• peer-reviewed papers
• posters/abstracts
• clinical trial registry links (if relevant)
• patents (as appropriate)
• conference appearances (with dates)

Make it easy to verify:

• include DOIs
• link to PubMed / journal pages
• state what was demonstrated (careful wording)

AI systems (and investors) reward verifiable claims.

4) Clarify what you are allowed to say (compliance-safe content architecture)

Biotech websites often serve multiple audiences. But promotion rules differ, especially around medicines.

EU frameworks restrict advertising for prescription-only medicines to the public; you need to structure public-facing content carefully.
Industry codes like EFPIA also shape what’s considered appropriate communication, especially around interactions and patient-related communications.

Practical approach:

• Public pages: disease education, company mission, pipeline overview (non-promotional tone), trial participation info, news
• Investor pages: milestones, strategy, filings, press releases, deck
• HCP/partner-gated (if needed): deeper product detail, mechanism visuals, data room links

This reduces risk while keeping your site “AI-readable.”

5) Create “entity pages” that AI can understand and reuse

Entity pages are pages that define things clearly:

• your company
• your platform
• your lead program(s)
• your key indications
• your manufacturing capabilities (if CDMO / bioprocess)

Each entity page should have:

• definition paragraph (what it is)
• key facts (bullets)
• proof links (papers, partners, regulatory references)
• FAQs
• internal links to related entities

This helps AI build a consistent mental model of your company.

6) Add structured data (Schema.org) to make facts machine-readable

For biotech, structured data is a hidden superpower.

Implement JSON-LD schema for:

• Organization (logo, legal name, social profiles)
• Person (leadership bios, credentials)
• FAQPage (for your FAQs)
• Article/NewsArticle (press releases, science updates)
• LocalBusiness/Place (if you have sites, labs, offices)

This supports both search engines and AI systems that rely on search infrastructure.

7) Win citations: digital PR, third-party profiles, and “trusted mentions”

AI assistants prefer sources with established authority and they often cite recognizable publishers and platforms.

For biotech, focus on:

• trade press (endpoints, Fierce, STAT-style equivalents depending on your region/segment)
• university / incubator / cluster listings
• association pages (BioWin, flanders.bio, etc.)
• conference speaker pages
• partner pages (“our partners” mention with link)

Also make sure your press kit is complete:

• boilerplate
• leadership bios
• high-res logos
• approved messaging
• contact details

This increases the probability of consistent mentions, which strengthens your “entity authority.”

8) Be locally and regionally explicit (yes, even for biotech)

Even global biotechs operate somewhere.

Add:

• “Based in Leuven / Ghent / Antwerp / Brussels…”
• collaboration ecosystem mentions (university hospitals, clusters. Only if accurate of course)
• hiring pages tied to locations
• “Contact” page with full NAP details

AI search experiences increasingly pull from local business knowledge sources; keep your profiles consistent across web properties.

9) Maintain freshness: science moves, so should your pages

For 2026 discovery, stale pages silently kill credibility.

Minimum cadence:

• quarterly updates to pipeline status
• monthly/bi-monthly news updates if you’re active
• update leadership, hiring, publications promptly

Add “Last updated” where it helps (pipeline, disease pages, trial info). Just like how we did on the top of this article. A last updated tag communicates ‘freshness’ of your content to people, search engines and to AI assistants.

10) Optimize for the conversation, not just keywords

Investors and partners don’t ask AI: “biotech platform Belgium.”

They ask:

• “Which Belgian biotechs are working on RNA delivery for liver diseases?”
• “Explain Company X’s mechanism and how credible it is.”
• “What are the risks in this modality, and who are the leaders?”

Create content that answers these deeper prompts:

• comparison posts (“Approaches to X: pros/cons”)
• “What we believe” science explainers
• “How we validate” methodology pages
• glossary pages for your modality

This is the biggest mindset shift: from ranking for a term → being the best answer in a dialogue.

A practical 30-day sprint for biotech teams to get your website ready for ChatGPT, Gemini, Perplexity, …

Week 1: Foundations

• tighten positioning copy (homepage, about, boilerplate)
• fix crawl/index basics, build sitemap
• publish/refresh leadership bios and credentials

Week 2: Answer assets

• build FAQ hub + FAQs on 3 key pages
• create 2 entity pages (platform + lead program)

Week 3: Proof & trust

• publish publications/posters page
• refresh press kit + at least 1 press release / news item
• update third-party profiles (clusters, directories)

Week 4: Structured data + measurement

• implement Organization + FAQPage + Article schema
• run tests: ask ChatGPT/Gemini/Copilot a set of 15 prompts and record who gets cited
• iterate based on gaps

Key takeaways

In 2026, biotech visibility is two-lane:

• Search lane (SEO) for targeted, specific discovery
• Conversation lane (AI visibility / “GEO”) for trust-building, depth, and recommendations

If your site is structured, evidence-forward, niche-clear, and consistently referenced elsewhere on the web, you increase the odds that AI assistants will mention you, to investors, patients, and clients, when it matters most.