Buyers used to ask a rep what your product does. Now they ask ChatGPT, and the answer comes from whatever the model found: a stale review listing, an old pricing page, a competitor's comparison post. Inside the company the same thing is happening. Reps generate their own competitor briefs and case studies in Claude before the call, and the output drifts from your positioning within weeks. AI is already auditing your product marketing every time a buyer or a rep asks it a question. You can ban it, or you can change what product marketing owns. Stop owning the content and start owning the facts: every claim tied to a feature, every proof point tied to a named customer. Package that fact base into AI skills reps and agents pull from, and run the same discipline across the website so the answer engines have something true to read. One system, two audiences. I ran ten production agents this way on a team of three. This session is a practical playbook for leading and deploying AI systems across the company so your product marketing team is everywhere at once. Takeaways - Why generative engine optimization and sales enablement are one problem - The claim-to-fact audit to run on your site before the next launch - How to ship positioning as AI skills instead of documents - Free installable skills and a 26-check AI-readiness scorecard to start with - The headcount argument this hands you