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In this episode of Found in AI, Cassie Clark talks with Peter Rota, an SEO professional with 15 years of experience, about the rapidly growing market for AI visibility tools — and where those platforms still have room to improve.

Cassie and Peter discuss why actionability remains one of the biggest challenges with AI visibility software, what teams should look for when evaluating a platform, and why a visibility score alone may not tell you very much.

They also dig into one of the biggest AI search measurement questions: should brands care more about being cited, mentioned, or actually recommended?

Peter shares his own hierarchy — recommendation, mention, then citation — and explains why citations can sometimes come dangerously close to becoming a vanity metric if they aren't connected to meaningful business outcomes.

In this episode:

• Where AI visibility tools are useful — and where they still fall short
• Why AI visibility data needs to lead to action
• What to consider before paying for an expensive AI visibility platform
• Why prompt-based visibility scores don't tell the whole story
• Why mentions and citations shouldn't be combined into one metric
• The difference between being recommended, mentioned, and cited
• When citations risk becoming a vanity metric
• Why the intent behind the prompt matters
• How to identify a perception gap between your website and an AI system's understanding of your brand
• Why lower-funnel prompts may be more valuable to track
• Whether your next AI search investment should be software or a person who can actually turn the data into strategy

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Cassie Clark is 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/