Conference: Oct 5-6
Workshops: Oct 7
AI Search is Personalized: How to Build a Content Strategy to Match
Devesh Khanal (Co-Founder, Grow and Convert)
Location: Room 109
Date: Monday, October 5
Time: 2:00 pm - 2:30 pm
Pass Type:
All Access, Digital, CMWorld 2-Day, CMWorld 3-Day -
Get your pass now!
Session Type:
Session
Track:
Discoverability & Optimization, CMWorld
Vault Recording: Video
Most brands are approaching AI search like SEO: track a few prompts, check if you show up, count citations. But AI search has a fundamental difference from SEO: LLMs know far more about the user than Google ever did and they use that information to delivery extremely personalized recommendations to the user.
Google got short keywords from users, and gave everyone more or less the same list of links to read for a given keyword. In SEO, the user did the research and decided which solution was right for their situation.
LLMs, in contrast, have a massive amount of conversation history full of rich nuance about the user and their pain points. They then use this information and do research on behalf of the user and deliver personalized solutions for them and their specific pain points.
Succeeding in this personalized AI search world requires teaching LLMs every scenario where your product or service could be a good solution, then getting that content discovered when they search the web. This talk shares the real customer chats and data behind this argument and walks through how to build this strategy for your own brand.
Takeaway
- Why prompt tracking and citation counting mislead you: how LLM memory and user context create Invisible Prompts that no tool can see
- How LLMs actually choose what to recommend: matching everything they know about the user against everything they know about your brand
- How to publish content that teaches LLMs when and why you're the right fit, and get it discovered, with data from 100+ clients