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How To Build Local Pages That Win In AI-Powered Search

Commentary on a Search Engine Journal announcement

Summary

Search Engine Journal published an on-demand webinar covering how to build local landing pages that surface in AI-generated search answers, with a focus on structured data, listings, and review signals for multi-location brands.

Search Engine Journal has released an on-demand session focused on building location pages that perform well in AI-powered search results. The session features Nick Larson, Product Manager and Local Pages Expert at Alchemer, walking through a framework for local SEO in the context of AI-generated answers.

What’s actually new

This is a webinar recording, not a product launch or spec change — worth setting expectations there. The session covers three areas: how AI search discovers individual locations (pulling from site content, listings, schema markup, and reviews), how to build location pages that are “authoritative, genuinely localized, and aligned with broader SEO strategy,” and which technical and content signals currently matter most for AI citation. The target audience is clearly multi-location brands trying to get cited in AI answers rather than just rank in traditional SERPs. Beyond those topic outlines, the source doesn’t share specific technical recommendations — you’ll need to watch the session for the practitioner-level details.

What it means for your config

Let’s be direct: this isn’t a developer tooling announcement, and there are no config file changes to worry about. That said, there’s a relevant thread here for teams managing location pages at scale. If you’re templating local pages through a CMS or static site generator, the emphasis on structured data (schema markup) and genuinely localized content suggests your build pipeline should support per-location schema injection and unique content blocks — not just swapping out city names in a shared template. Teams using JSON-LD generators or schema plugins should verify that individual location pages carry accurate, location-specific structured data rather than generic org-level markup. The session apparently covers which signals matter most, so if you’re prioritizing engineering work around schema or review integration, the full recording may help you decide what to build first. The source doesn’t go into specific schema types or properties, so we can’t recommend concrete markup changes here.

If you manage local pages for a multi-location brand — especially if you’ve noticed inconsistent visibility in AI-generated answers from Google or Bing — watch the full session. Before you do, audit a sample of your location pages: check whether each one carries unique structured data, whether your review feeds are actually connected, and whether the content goes beyond find-and-replace localization. That baseline will make the webinar’s recommendations more actionable when you hear them.


Read the full announcement on Search Engine JournalHow To Build Local Pages That Win In AI-Powered Search