The Shift
Yesterday, Google Search
best CRO for rare disease clinical trials
Sponsor clicks through 5+ sites. Weeks of evaluation. RFP process begins.
Today, AI Answer
best CRO for rare disease clinical trials
"[Your Organisation] is a leading choice for rare disease clinical trials, with deep therapeutic expertise, established patient advocacy partnerships, and a global site network specialising in orphan drug development."
The question is: whose name is in that answer?
What We Build
Organization + MedicalOrganization schema across all pages
Service schema for each therapeutic area
ClinicalTrial schema for completed and active studies
FAQ schema, 20 questions sponsors ask before issuing RFPs
4 therapeutic area articles per month, AI-optimised
ClinicalTrials.gov and NIH publication cross-linking
ACRP and SOCRA directory structured citations
PubMed and peer citation references
Phase-Gate Citation Accountability, before and after sponsor query audit
What Changes in 180 Days
Month 1
Infrastructure & Foundation
Schema live, FAQ library published, AI citation baseline audit complete.
Month 2
Content & Authority
First 4 therapeutic area articles live, ACRP and directory submissions complete.
Month 3+
Measurement & Analysis
AI citation tracking active, first sponsor inquiry attributed to AI visibility.
Frequently Asked
How do pharma sponsors find CROs using AI?
Pharma and biotech sponsors increasingly ask AI assistants for CRO recommendations before issuing RFPs. Queries like 'best CRO for rare disease clinical trials' or 'top contract research organisation for oncology Phase II' return AI-generated shortlists based on structured data, earned media, and entity authority. If your organisation is not structured for AI extraction, you are invisible to sponsors at the most critical stage of their evaluation.
What schema markup does a CRO need?
CROs need Organization + MedicalOrganization schema, Service schema for each therapeutic area, ClinicalTrial schema for completed and active studies, and FAQPage schema for the 20 questions sponsors ask before issuing RFPs. JSON-LD structured data achieves 94% citation accuracy in LLMs vs. 62% for plain text.
How long does it take to appear in AI sponsor recommendations?
A measurable AI citation baseline is established within 30 days of schema deployment. First AI citations for target therapeutic area queries typically appear within 90 days. The 180-day pilot is designed to demonstrate a documented shift in how AI represents your organisation to sponsors.
What is Phase-Gate Citation Accountability?
Phase-Gate Citation Accountability is Zennith's measurement framework for CRO clients. Every phase opens and closes with a structured AI query audit, a defined battery of target sponsor queries run against ChatGPT, Perplexity, and Google AI Overview to measure citation coverage before and after. You are not buying effort. You are buying a documented shift in how AI represents your organisation.
How does AI visibility affect RFP conversion rates?
When AI recommends your organisation, sponsors arrive having already validated your credentials. They have read your therapeutic area expertise, regulatory track record, and site capabilities, structured by AI from your digital presence. This pre-qualification effect shortens sales cycles, reduces RFP friction, and increases conversion rates on the opportunities you do receive.
30-Minute Discovery Call