Start Here: The 5-Step AI Search Visibility Strategy from 80+ Episodes

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It's the official one-year anniversary of Found in AI! 

In this solo episode, I go back through the entire Found in AI archive and pull out the five-step strategy for AI search visibility — built from a year of guest conversations, prompt tests, and a few things I got wrong along the way.

Whether you've been listening since episode one or you just found the show, this is your starting point.

What's covered:

• Why AI search visibility is a cross-functional problem that shows up looking like a content problem
• The five-step strategy: Describe → Structure → Refresh → Corroborate → Measure
• How the FSA Framework (Freshness, Structure, Authority) fits into a broader visibility strategy
• Why fixing your brand description across surfaces is step one — before you touch your content
• The weekly assignment you can do in an afternoon to find your actual roadmap

Episodes mentioned:

Step 1 — Description

• Is Your AI Visibility Problem Actually a Messaging Problem? — with David Kirkdoffer
• How Does Local SEO Translate to AI Search Visibility? — with Tommy Landry

Step 2 — Structure (FSA)

• How Do AI Engines Decide What to Cite? The FSA Framework Explained
• Stop Optimizing Keywords for ChatGPT — with Shane Tepper
• What AI Engines Actually Want (And Why Your Blog Posts Aren't It) — with Bryan McAnulty

Step 3 — Freshness (FSA)

• How Approval Layers Slow Down AI Search Visibility — with Rose Ann Mullet
• Why Aren't AI Engines Citing Your Content? (Hint: You're Missing Knowledge Graph Enrichment) — with Paul Rowe

Step 4 — Authority (FSA)

• What Does It Take To Actually Get Cited in AI Search? — with Jonathan Bentz
• The 24-Hour Reddit Citation — with Carl Peterson
• SEO and PR Are Finally Married (And AI Search Is Why) — with Basha Coleman

Step 5 — Measurement

• What Do Bing's AI Performance and ChatGPT Ads Mean for Search?
• What is an AI Visibility Audit? (And Do You Need One?)
• AI Competitive Intelligence: How to Track What's Citing Your Competitors — with Vlad Pivnev

If you're new here:

New to AI search:

• What's the Difference Between SEO, AEO, and GEO?
• How Do AI Engines Decide What to Cite? The FSA Framework Explained
• Should You Skip SEO and Go Straight to AI Search? [2026 UPDATE]

Trying to measure it:

• What is an AI Visibility Audit?
• How Should Brands Measure Visibility in AI Search?
• What Do Bing's AI Performance and ChatGPT Ads Mean for Search?

Selling this internally:

• Is Your AI Visibility Problem Actually a Messaging Problem? — with David Kirkdoffer
• How Approval Layers Slow Down AI Search Visibility — with Rose Ann Mullet
• You Can't SEO Your Way Into AI Search Visibility

Want the arguments:

• SEO Agencies Have 2 Years Left — with Gilad Pichar
• "Good SEO is Good GEO." But Is That True?
• AJ Ghergich / Botify three-part series (Parts 1–3)

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 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