Get Your Business Name Found & Chosen in AI Search

Local visibility now starts long before a customer clicks. AI assistants, Maps, and search decide which businesses to trust based on reviews, reputation signals, and accurate listings. What’s evolved is how much weight those signals carry now and how precisely you have to handle them.

This opening panel sets the foundation for the day: what has actually changed in how AI surfaces local businesses, and what are the non-negotiables every brand needs in place.

You’ll leave knowing where to focus before chasing the next tactic.

Learn How To:

• Which review and reputation signals AI and local search weight most right now
• How AI picks and recommends local businesses differently from traditional search
• A prioritized “fix this first” checklist for local visibility

Customers now start local searches inside AI assistants, which changes who gets found and chosen. This session is attribution reframed for the AI era: the bridge between getting discovered and getting the customer. We’ll also cover how to make your content agentic-ready so customers can act on it wherever the conversation starts.

Learn How To:

• Recognize how AI assistants (ChatGPT, Gemini, Perplexity and others) are reshaping local discovery and the path to purchase
• Attribute leads across channels, including AI search, and use customer conversations to reveal demand and intent
• Make your content agentic-ready for a zero-click world, and adapt call handling as AI voice assistants change how leads reach you

This session breaks down how to build local pages and site structure that AI engines can read, trust and cite. Schema has to describe the business accurately. Page templates have to hold up across dozens or hundreds of locations. Details have to stay consistent between your site and your listings, so an engine has no reason to doubt what it finds.

They will also cover the problems that keep good pages out of AI answers, from blocked crawlers to content that only shows up after a script runs.

Learn How To:

• How to structure local pages and schema so AI engines can read, trust and cite them
• Which technical and content problems keep local pages out of AI answers, and how to fix them
• Practically build information you can hand to your web team