Claims in this piece are observable and methodological — no client or benchmark data used.
It’s 8:40am in Basel. A procurement lead at a mid-size pharma company opens an AI assistant before their first meeting and types a single question: which CDMOs can handle a sterile fill-finish project for a regulated market, at their scale, on their timeline? The assistant answers in seconds — naming a short list, with reasons. Your CDMO may or may not be on it. Whether it is depends less on your capability than on whether that capability is currently establishable by an AI system with no one from your team in the room.
That is the shift behind this article. Buyers are starting supplier research with AI assistants earlier and more often, and what those assistants can find, understand, and accurately convey about you now shapes whether you are even considered.
We call this AI Visibility — a AI Visibility Is Not the Same Discipline as SEO discipline, not a rebrand of search optimisation. Improving it is not one big project; it is a series of specific, practical moves across what is findable, what is understood, and what is believed. What follows is ten of them.
What actually changes whether an AI recommends your CDMO?
Across the assistants buyers actually use, an AI system forms its account of you through a consistent sequence of checks: can it find content that mentions your relevant capability at all (presence); does that content accurately describe what you do (accuracy); is it specific enough to distinguish you from a generic “full-service” competitor (specificity); does it cover the parts of a buyer’s real question that matter, not just a fragment (completeness); do different sources about you agree with each other (coherence); and can what is claimed be checked against something verifiable, like a regulatory filing or a certification body (supportability).
Those six checks are the frame behind everything below. Each of the ten moves in this article improves your standing on one or more of them — and none of them require chasing a keyword ranking.
If an AI assistant were asked about our capabilities today, using only what it can find with no one from our team in the room, would we be comfortable with the answer it gives?
Be findable at all
1. Get your substance out of PDFs and images and into real page text
Capability statements, certifications, and technical specifications locked inside a PDF brochure or a scanned image are often invisible to the systems assembling an AI assistant’s answer. Crawlable Is Not the Same as Visible explains why passing a crawler is not the same as being usable — the practical fix here is simpler: put the substance that matters into real, readable page text, not just into a document a human has to open.
2. Claim and align the third-party sources AI leans on
Assistants don’t rely on your website alone. Directories, regulatory databases, industry listings, and news mentions all feed into what a system can establish about you. If those sources are unclaimed, outdated, or inconsistent with your own site, you are leaving the account of your company to whoever last touched it — or to nobody.
Be understood — accurately and specifically
3. State your exact capabilities in plain language, not superlatives
“Industry-leading” and “world-class” convey nothing an AI system can use to match you to a buyer’s question. “Sterile fill-finish for lyophilised injectables at commercial scale” does. Precise, plain-language capability statements are what a system can actually extract and reuse.
4. Lead with your specialisation; don’t bury it under ‘full-service’
A broad “full-service CDMO” framing, applied to every page, makes it harder for a system to identify what you are genuinely differentiated at. If a capability is a real strength, it should be stated as a strength on its own terms, not folded into a general list where it reads the same as everything else.
5. Answer the whole question a buyer actually asks
A buyer’s real question is rarely just “do you do X.” It’s usually “do you do X, at this scale, for this regulatory market, on this kind of timeline.” Content that answers only the first fragment leaves an assistant to guess at the rest — or to describe you incompletely.
6. Structure pages around the questions buyers ask
Organising a capability page around the actual questions a buyer brings to it — rather than around your internal department structure — makes the content easier for both a human and a system to match to a real need.
Be believed — coherently and verifiably
7. Put regulatory status in machine-readable text
Which approvals, for which sites, for which dosage forms — stated in clear text, not implied by a logo image or buried in a certificate PDF. This is the single highest-leverage move for supportability, because regulatory status is exactly the kind of claim a system (and a buyer) can check.
8. Make certifications and inspection history verifiable, not merely asserted
A certification badge with no reference a system or buyer can trace is an assertion, not evidence. Where possible, state the certifying body, the scope, and where it can be confirmed.
9. Reconcile what different sources say about you
If your website says one thing about a facility’s capacity and a directory listing says another, an assistant has no reliable way to resolve the conflict — and coherence is one of the six checks that shapes whether it trusts either source. Periodically auditing your own footprint for contradictions is unglamorous, necessary work.
10. Make trust establishable at a distance
A buyer who cannot visit your site in person is relying entirely on what is establishable remotely — inspection history, third-party validation, consistent documentation. The more of that trust-relevant material is publicly and clearly stated, the less a distant buyer’s AI-assisted research has to guess.
The ten moves at a glance
Ten practical moves that improve a CDMO’s AI Visibility:
- 1. Get your substance out of PDFs and images and into real page text
- 2. Claim and align the third-party sources AI leans on
- 3. State your exact capabilities in plain language, not superlatives
- 4. Lead with your specialisation; don’t bury it under ‘full-service’
- 5. Answer the whole question a buyer actually asks
- 6. Structure pages around the questions buyers ask
- 7. Put regulatory status in machine-readable text
- 8. Make certifications and inspection history verifiable, not merely asserted
- 9. Reconcile what different sources say about you
- 10. Make trust establishable at a distance
Try it yourself
Ask ChatGPT, Gemini, Perplexity, Claude and Copilot a specific question about your CDMO’s capability — the kind a real buyer would ask, not your company name alone. Read the answers against the six checks: is your capability present, accurate, specific, complete, coherent across the answer, and backed by anything verifiable?
You will likely find some moves already working in your favour and others clearly missing. Results vary by platform, prompt, and time — treat this as observation, not proof.
Where to start
Emerivo is a specialist advisory for pharmaceutical manufacturing and research organisations — TPMs, CMOs, CDMOs and CROs — focused on how AI assistants find, understand, and represent them to buyers.
If you want a systematic read of how your CDMO appears across the five major assistants today, that is what an AI Discovery Audit™ is built to provide — diagnostic, never a promise of rankings or recommendations. For the wider argument on why your public presence matters this much, see Your Pharmaceutical Website Is No Longer Just a Brochure.
Frequently asked questions
No. As explored in “AI Visibility Is Not the Same Discipline as SEO,” SEO optimises for ranking position in a list of links; AI Visibility is about whether an assistant can accurately establish and convey your genuine capability in a synthesised answer the buyer may never click past.
No — and any advisor claiming otherwise should be treated with caution. These ten moves improve the accuracy, completeness, and verifiability of what AI systems can establish about you. Whether a specific assistant names you in a specific answer depends on many factors outside any one party’s control.
A strong website is a good foundation, but “Your Pharmaceutical Website Is No Longer Just a Brochure” covers why a site built for human visitors doesn’t automatically serve an AI system well — the two audiences read differently, and often need different things from the same content.
Ask the major assistants a buyer’s real question about your capability and compare the answers against the six checks in this article. For a more systematic, cross-platform read, an AI Discovery Audit™ examines this in depth.