In 2025, a quiet but major shift is reshaping how healthcare decision-makers find suppliers, solutions and experts: they’re asking AI directly.

“What are the best SEO consultants for a Canadian pharmaceutical company?” — asked to ChatGPT, this question generates a complete answer in seconds, without the user visiting a single website. If your company isn’t cited in that answer, you don’t exist for that potential client.

This is the challenge — and the opportunity — of GEO: Generative Engine Optimization.

SEO vs GEO: What’s the Real Difference for a Pharma Company?

SEO (Search Engine Optimization) aims to rank your pages in Google or Bing results. The goal: appear at the top of a list of links that the user clicks.

GEO aims to be cited as a source by a language model (ChatGPT, Perplexity, Claude, Gemini). The goal: have the AI recommend your company, your product, or your expertise directly in its response.

These two disciplines are complementary, but their mechanics differ fundamentally:

Criterion	Traditional SEO	GEO
Target surface	Google results pages	AI-generated responses
Winning format	Clickable link	Citation, mention, recommendation
Primary signal	Backlinks + keywords	Source authority + citation density
Time to results	3 to 6 months	2 to 4 months
Applicable to YMYL sector	Yes (with E-E-A-T)	Yes (with rigorous sourcing)

For a Canadian pharmaceutical company, a natural health product (NHP) brand, or a medical device manufacturer, ignoring GEO in 2025 means cutting yourself off from a growing share of your potential clientele.

Why the Health Sector is Particularly Concerned

Language models are trained to be cautious about health topics. They apply their own form of YMYL filter: they prefer to cite recognized, institutional sources or those clearly identified as expert.

This creates a paradox for SMEs: large brands and health institutions are naturally overrepresented in AI responses, while local and specialized players — often more relevant for the user — remain invisible.

Good news: this imbalance is correctable, provided you adopt the right practices.

What AI Models Look for in Health Content

Models like GPT-4o, Claude 3.5, or Perplexity analyze several signals before citing a source:

Author credibility — an identified author with verifiable credentials is systematically favored
Information density — content that directly answers factual questions is more easily citable than promotional text
Consistency of external mentions — if other reliable sources mention your brand, AI models detect it
Content structure — lists, definitions, tables and direct answers are more easily extracted
Implicit regulatory compliance — content citing Health Canada, PAAB, or GMP/GLP standards inspires confidence in AI models

The 5 GEO Strategies for Pharma Companies

1. Build a Verifiable Expert Author Profile

AI models don’t cite anonymous companies — they cite people. Your website must clearly identify content authors with:

Full name and professional title
LinkedIn link (strong verifiability signal)
Credentials (education, certifications, experience)
Dedicated author page with Schema.org Person markup

For a pharma SME, the ideal is to establish the founding executive or regulatory affairs manager as a public expert figure.

2. Structure Your Content in “Citable” Formats

A language model easily extracts:

Direct definitions: “GMP (Good Manufacturing Practice) refers to…”
Numbered lists of criteria or steps
Comparative tables with factual data
Short answer blocks that respond to a question in 2-3 sentences

Restructure your service pages, product sheets and blog articles to systematically incorporate these formats.

3. Optimize Your `llms.txt` File

Similar to robots.txt for traditional crawlers, the llms.txt file is an emerging standard that allows language models to quickly understand your identity, expertise and reliable sources.

This file should contain:

A concise description of your company and area of expertise
Your main products or services
Regulatory references you comply with (Health Canada, GMP, PAAB)
Your credentials and accreditations
URLs of your most important content

4. Multiply Qualified External Mentions

AI models “read” the entire indexed web to build their responses. The more your brand is mentioned in reliable sources, the more likely it is to be cited.

For Canadian pharma, the mentions to target first:

Professional associations (AQPP, CPEQ, Pharmabio Développement, MEDEC)
Sector media (Drug Store News Canada, Canadian Healthcare Technology)
Certified directories (BioTalent Canada, Invest in Canada)
Interviews and podcasts in the health sector

5. Directly Answer Questions Your Clients Ask AI Models

Do the exercise: ask ChatGPT or Perplexity the questions your clients might ask. Then create content that answers those questions better than what’s currently cited.

Example questions for an NHP brand:

“How do I market a natural health product in Canada?”
“What are Health Canada’s requirements for NHPs?”
“Do I need a Natural Product Number (NPN) to sell online in Canada?”

Each well-structured answer is an opportunity to be cited.

The Special Case of Perplexity: The AI That Cites the Most

Perplexity stands out from other models by its ability to conduct real-time web searches and explicitly cite sources with links. It’s the AI platform where organic visibility is most directly transferable.

To optimize your presence on Perplexity:

Publish regularly — Perplexity favors recent content
Use question-format titles — “How to…”, “What is…”, “Why…”
Make your site crawlable — verify your robots.txt doesn’t block AI crawlers (GPTBot, PerplexityBot, ClaudeBot) — see OpenAI’s GPTBot documentation
Get media backlinks — Perplexity gives significant weight to sources mentioned in press articles

GEO and Regulatory Compliance: The Dual Pharma Challenge

The pharmaceutical sector faces a constraint most industries don’t: the regulation of health claims. In Canada, PAAB strictly governs communication about prescription drugs, while Health Canada regulates claims for NHPs.

This constraint becomes a competitive advantage in GEO: companies that demonstrate regulatory compliance in their web content inspire greater trust in AI models, which are trained to detect irresponsible or unsupported claims.

Recommended strategy: systematically integrate references to applicable regulatory frameworks in your content — not defensively, but as proof of expertise. An article that correctly cites the Natural Health Products Regulations or ICH GMP guidelines positions its author as a reliable expert in the eyes of AI.

Where to Start: 3-Step GEO Audit

If you’ve never optimized your presence for AI models, here’s a practical starting sequence:

Step 1 — Audit your current visibility Ask ChatGPT, Perplexity and Claude questions about your sector, your specialty, your geographic market. Are you mentioned? Who is cited instead?

Step 2 — Identify your content gaps Compare the generated responses with your current content. Which questions don’t your pages answer directly? Which formats are missing (tables, lists, definitions)?

Step 3 — Prioritize your actions

Short term (1-2 months): restructure existing pages, create the llms.txt file, verify AI crawler accessibility
Medium term (3-4 months): develop a content calendar targeting AI questions, build external mentions

Conclusion

GEO is not a trend — it’s a structural evolution in how information circulates. For healthcare SMEs in Canada, it’s both a threat (if your competitors adopt it before you) and an exceptional opportunity (if you act now, before the market is saturated).

The good news: companies that already master E-E-A-T and regulatory compliance have a natural head start. It’s a matter of adapting these assets to the specific requirements of language models.

If you want to assess your company’s current GEO visibility in AI responses, contact me for a free preliminary analysis.