From SEO to GEO: CRO Robert Kazmi on AI-Native Marketing and Line of Sight

Summary

Your buyers aren’t Googling first anymore—they’re asking ChatGPT, Claude, and Grok. In this episode, Robert Kazmi, Chief Revenue Officer at Koombea, an AI-driven mobile and web app development partner, explains how go-to-market teams must evolve from search engine optimization (SEO) to generative engine optimization (GEO). Robert shares how AI is reshaping buyer expectations, compressing research cycles, and rewarding brands that add real value to LLMs’ source ecosystems. He details how his team rebuilds content pillars for GEO, uses AI to triage support vs. human engagement, and even treats LLMs as indirect lead sources by understanding the data they consume. Robert also breaks down developer–AI interaction—why hallucinations demand human audit, how prompt engineering becomes a core skill, and what “line of sight” leadership looks like to align metrics with outcomes. Expect practical insights on standing out amid AI noise, compressing trust-building to seconds, and preparing teams for an AI-native GTM.

Timestamps

[00:45] – Guest intro and Koombea's AI-native app focus  

[01:20] – AI reshaping buyer expectations; productivity, self-serve, and marketing triage  

[03:45] – From SEO to GEO: getting found inside ChatGPT, Claude, and Grok  

[05:50] – Rebuilding content pillars for GEO and driving high-intent leads  

[08:40] – Turning LLMs into indirect lead sources: data-source strategy  

[12:20] – Developer–AI interaction: hallucinations, context, and prompt engineering  

[17:20] – Can AI agents sell? Filters, noise, and compressing trust to a five-second search  

[32:05] – Operating with “line of sight”: metrics that matter, alignment, and execution

Takeaways

- Reorient from SEO to GEO: design content for LLM retrieval—specific, expert, and genuinely useful.  

- Seed value where LLMs look: publish proof-rich assets in high-weight sources (e.g., forums, expert hubs, analyst content).  

- Use AI to triage and scale: route simple requests to self-serve and reserve humans for complexity; let AI accelerate content pillars and campaigns.  

- Build human guardrails: upskill teams in prompt engineering and implement audit workflows to catch hallucinations.  

- Break through AI noise: lead with creativity, clear outcomes, and social proof to earn trust fast.  

- Lead with “line of sight”: align teams on objectives and measurable business metrics—not vanity numbers