Your customers have stopped typing keywords! Now they type prompts - and the response they see is a synthesized answer assembled from ________. (Notice the gap? So does the large language model - it was trained to find them!) 

This session introduces promentity - where prompts meets entities - and gives marketing leaders a framework for choosing and tracking the prompts that define their category.

Using the models themselves as the diagnostic, we’ll learn how to run a gap audit to inform your content strategy for engines that have moved from pages-and-keywords to entities-and-prompts.

After this session, you’ll be able to:

• Build a prompt-tracking program scoped by coverage across brand, category, competitor, problem-led, and fan-out queries - not by volume - so your team has a defensible executive answer to ""are we winning in AI search?”
• Run a "promentity gap audit" that compares the entities AI models cite for your category to the entities present in your content, surfacing the four gap types (missing, weak attribution, disambiguation, broken relationships) your CMS can't see from the inside.
• Re-architect your content workflow from pages-mapped-to-keywords to entities-mapped-to-prompts, so your brand earns citations in AI answers across ChatGPT, Gemini, Claude, and Perplexity - not just rankings in the blue links buried where nobody clicks.