An iPullRank Webinar

Local Visibility in AI Search

Findings from 6.8M Citations

Featuring Christian Ward and Garrett Sussman

Time Stamps:

[00:00] – Intro, housekeeping and webinar setup

[02:00] – Christian Ward sets the AI Search context

[03:40] – Why context matters for AI results

[06:20] – Search, ranking, and experience fragmentation across AI Search platforms

[14:40] – AI memory, psychology, and shifting KPIs for marketers

[22:30] – AI browsers, agents, and new search experiences

[26:50] – Citations as “receipts”: Indian restaurant example and verification

[33:40] – Local visibility research design: hex maps, Starbucks and competitors

[40:30] – What millions of citations show about websites, directories, Reddit and reviews

[49:10] – Updated dataset, location nuance and offers inside AI chats

[56:00] – iPullRank AI Search Manual, SEO Week and Yext visibility resources

[58:40] – Q&A: structured data, local job boards and structuring content for AI

Garrett Sussman and Christian Ward break down the data showing how ChatGPT, Gemini, and other AI systems surface local businesses in real “near me” and “best” queries. This session unpacks how AI models interpret location, extract structured data, verify citations, and decide which brands to recommend across local categories.

What we cover:

  • How AI platforms use location, memory, and context to shape local results

  • Why directories, websites, and structured data drive the majority of local AI citations

  • What millions of citations across food, retail, finance, and services reveal about visibility patterns

  • How local rankings shift by geography, density, and competitor data quality

  • Why Reddit and reviews matter less than expected once location enters the query

  • How AI browsers and agents are redefining the local discovery experience

You’ll leave knowing how to:

  • Identify where your business is cited across major AI surfaces

  • Strengthen structured data and listings to increase verification signals

  • Build local pages and content that align with AI extraction and probability models

  • Prioritize the data fields and attributes that influence “near me” recommendations

  • Rethink measurement as AI surfaces your brand without traditional traffic

This session is designed for:

Local SEO teams, multi-location brand marketers, agencies managing structured data and listings, and business leaders responsible for local visibility and AI-driven customer acquisition.

Links:

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