Rewriting the Rules of Search: How Go Fish Made MoneyGeek AI-Ready

MoneyGeek’s team had created an impressive library of insurance content, rich in expertise but lacking structure. Without a unified system to guide how topics connected, search engines couldn’t fully grasp what the site was about.

• Thousands of pages lacked clear topical focus.
• Overlapping and unfocused content diluted authority.
• No roadmap existed for prioritizing the highest-impact updates.

The outcome? Great content that wasn’t being seen.

Go Fish united Data Services, GEO intelligence, Content Strategy, and Technical SEO into one connected plan so every effort supported a larger goal: helping AI systems and search engines recognize MoneyGeek’s authority in the insurance space.

We started with a semantic map of the entire site to show how search engines and LLMs interpreted its expertise across key insurance topics. That data revealed the cracks: which pages competed with one another, where topical clusters were thin, and where authority signals broke down.

Then, using Barracuda insights, we identified the most valuable opportunities, pages already performing well but under-recognized by Google and AI systems. From there, we rebuilt internal linking, refined entity relationships, and prioritized the updates that would deliver results fastest.

MoneyGeek’s growth didn’t come from adding more content. It came from aligning what they already had.

• Vectorized the site to identify Site Focus Score and Radius Score across categories.
• Identified 4,000+ pages and made changes for stronger topical alignment.
• Reorganized internal linking and content clusters to deepen relationships between key terms.
• Elevated high-value insurance pages with structured, AI-readable content.
• Created a roadmap to sustain visibility growth long after launch.