Introducing AI Content Tracking: See How LLMs Interact With Your Stories

As more audiences turn to AI assistants instead of traditional search engines, the way content is discovered is changing. Stories are no longer only surfaced through keywords — they’re increasingly being pulled directly into large language model (LLM) experiences like ChatGPT, Gemini, and others.

That shift raises a big question for communicators: how visible is your content inside AI?

What’s New: AI Crawler Traffic Reports

We’ve released an update to our content analytics that helps you understand how LLMs interact with your content across two dimensions:

• Indexing visibility — see which models are pulling in your content (and which aren’t).
• AI impressions — measure how many times your content is surfaced inside AI-powered experiences via impressions and how many times a user has viewed the content via page views.

Together, these metrics provide the first window into your AI visibility footprint.

Why It Matters

This update lays the foundation for AIO (AI Optimization) — the next evolution of SEO. Just as organizations once optimized content for search engines, now is the time to understand how your stories appear inside generative AI experiences.

By tracking where your content is indexed, how often it appears, and identifying gaps, you can strategically improve discoverability and authority in these new discovery channels.

To view AI content tracking, click here.

By Kristin Martin, Sr. Data Engineer and Brittany Partridge, Sr. Product Manager, 3BL