Thanks to AI, local SEO has a new standard.
AI-powered search does more than just rank pages. It synthesizes responses from your site content, schema markup, listing data, and reviews, then decides whether your locations are worth mentioning. For brands managing 10, 50 or more than 100 sites, this represents an important point of exposure.
What’s Really Changing in Local Search
AI search experiences, from Google’s AI Previews to other generative answer engines, now rely on a broader set of signals to determine which local businesses to surface.
Listing accuracy, structured data, review signals, and the quality of your actual location pages are all taken into account. If any of them are inconsistent or thin, your visibility takes a hit before a customer clicks through.
What you will learn in this session
- How AI-powered search engines extract local business data and where your current setup may have gaps
- What separates a high performance location page of the one that is ignored by AI research
- Which technical signals have the most weight for local AI search
- How to prioritize improvements across a large portfolio of sites without starting from scratch
Nick Larson, Product Manager and Local Page Expert at Alchemer brings hands-on experience helping multi-site brands build local search visibility at scale.
This is a practical, structured session designed for marketers and operators managing location-based brands.
