Trending UX Research & Insights

The confidentiality question to ask any vendor using AI

When a partner uses AI on regulated work, the real risk is not the AI, it is where your data goes and who can see it. The questions to ask any vendor, including us.

Retiring the clinical PDF library for the AI era

To an AI engine a clinical PDF is usually a dead end. You retire the library by publishing the content as structured HTML for discovery while keeping the signed PDF as the regulated document of record. The HTML gets cited; the PDF stays the version of truth.

How to structure a pharma pipeline page so AI can read it

There is no schema.org type for a drug pipeline, so AI engines often cannot read the single most-queried fact about a clinical-stage company. The pattern for making a pipeline page machine-readable, composed from the types that do exist, over clean HTML.

Is your website rebuild invisible to AI crawlers?

AI crawlers fetch your raw HTML, strip the scripts and styles, and read whatever text is left. If your life sciences site builds its content in the browser with JavaScript, the assistant may see nothing. How to tell, and how to build so your content survives.

Counting the fish that don't rise: measuring B2B visibility in AI search

Google is showing brands in AI answers and may never report the clicks. Opting out appears to cost ordinary traffic too. Here is how B2B teams should measure AI visibility downstream, where buyers actually surface.

Draw the line around the front door: putting your digital stack in the HIPAA risk analysis

The $800,000 Lehigh Valley settlement opens with a missing risk analysis, and most health systems leave their website, CRM, and marketing stack out of theirs. Here is how to inventory the digital front door and bring it inside the line.