From SEO to GEO: How to Win Visibility in the Age of AI Answers

Large language models now act like discovery engines. If they can't "see" your business—or prefer a competitor—you disappear at the moment that matters. Little Sugar Analytics brings a Generative Engine Optimization (GEO) approach so LLMs surface you first.

How It Works

1. Intake. Share your company, a short description, and optional target customers.
2. Research & Mapping. We enrich that brief to identify competitors and the language your market uses.
3. Query Synthesis. The app generates buyer-style prompts like “best X for Y” or “alternatives to ___.”
4. LLM Surface Testing. We run those prompts across leading models and see who appears and which sources they cite.

What You Get

• GEO visibility and competitor exposure scores.
• Query coverage gaps and the sources LLMs rely on.
• A prioritized list of actions—pages to build, facts to structure, citations to earn.

Get Started

1. Send a brief with your company and competitor set.
2. Receive a report with scores, gaps, and a 30‑day plan.
3. Implement changes and re‑test to track lift.

GEO doesn't replace SEO—it makes your existing content answer-ready for LLMs. When generative engines cite you, customers find you.