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If you've spent years building your local SEO, you're closer to AI search visibility than you think. But the signals work differently than you might expect.

In this episode, Cassie sits down with Tommy Landry, founder of Return On Now in Austin, Texas. Tommy has been in search marketing since 2009 and made a significant pivot toward AI optimization in 2022. He and Cassie dig into how local SEO fundamentals translate directly to AEO and GEO, and where the blind spots are that most businesses don't see coming.

The conversation covers NAP consistency, entity signals, the growing weight of review sentiment inside AI engines, why digital PR matters more than ever for LLM visibility, and a Better Business Bureau story that should make every brand audit their online reputation immediately.

In This Episode:

• Why local SEO signals like NAP consistency and location schema already feed AI-generated answers
• How AI engines use third-party mentions—even without a link—to validate your brand
• Why review sentiment is now being ingested by AI platforms and how negative reviews can tank AI visibility
• The Better Business Bureau example that proves AI engines are surfacing reputation data
• Entity consistency: why saying the same thing about your brand, the same way, everywhere is a foundational AI search strategy
• How digital PR is making a serious comeback as a driver of LLM visibility
• Why the brands already doing local SEO well have a leg up in AI search

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com