Episode 507
Watch me build a $11.9M SaaS AI SEO strategy in 23 minutes
Sam live-builds the AI SEO strategy he'd use for Lavender, an AI sales email tool pulling $11.9M/year with a 94% Google traffic drop. Using Ahrefs data he diagnoses the real visibility gap, benchmarks against competitors in ChatGPT and Gemini, and maps the three fixes.
What we cover
- Why Lavender’s reported 94% Google traffic drop is mostly noise: the bulk of lost volume came from people searching for the lavender plant, leaving almost no qualified keyword footprint once those searches are stripped out
- How often ChatGPT and Gemini cite Lavender’s pages compared to competitors like Instantly, and what that AI citation gap means for demos and pipeline
- The three-step fix: consolidate a fragmented site structure, build comparison and alternative pages targeting active buyers, and earn third-party mentions to lift AI citation rates
- How to use keyword difficulty data to find quick wins first rather than attacking head terms that take 12 or more months to move
- How to use proprietary data as a content foundation that generic SaaS competitors can’t replicate, plus what to realistically expect in the first 12 months
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