What this report is based on
This report captures insights from a live, working session with 56 B2B product, marketing, and commerce leaders, who ran real-time diagnostics on their own products using AI answer engines. without brand bias, scripts, or presentations.
The goal was simple: Find out whether AI can accurately explain what they sell, who it’s for, and why it matters. What they found created urgency.
Inside the report, you’ll learn:
- Why buyers are asking AI about products before they visit your website or talk to sales
- How often AI delivers incomplete, inaccurate, or missing product information—even for well-known brands
- Where AI is actually pulling its answers from (and why gated content and portals create blind spots)
- The “metadata gap” hiding your most valuable product knowledge from AI engines
- Why nearly half of participants found that not much of their product knowledge is accessible to LLMs today
“The sources with the lowest LLM exposure are almost always where your most differentiated product knowledge lives. Whoever closes that gap first earns a durable advantage in the AImediated buying journey.”
— Andy Didyk, CEO, Ntara
What you can do with this report
This isn’t theoretical research. The report includes:
- A clear diagnosis of why traditional SEO and content volume aren’t enough in an AImediated buying journey
- Four practical exercises you can run internally to audit AI visibility, openweb exposure, and tacit knowledge gaps
- A threepart framework for making product data and context AIready without creating netnew content
Who this report is for
This report is written for:
- Product, marketing, and commerce leaders at B2B product companies
- Teams responsible for PIM, DAM, product data, and digital experience
- Executives concerned about AI answer engines influencing buyer decisions without their input
Ready to see what AI is (and isn’t) saying about your products?
Download the full report to understand the gaps and how to close them.