Evaluating & Optimizing Brand Visibility in LLMs
Learn how to evaluate how your brand appears in LLMs. Track visibility, framing, and competitor presence to stay ahead in AI-driven search results.
Generative Engine Optimization Services
GEO is about one outcome: getting your brand cited and recommended when AI tools answer your customers' questions.
Why brands get left out
AI engines build answers from a small set of sources they consider relevant and trustworthy. Brands usually get skipped because their content doesn't directly answer the questions buyers ask, key facts are vague or inconsistent across the web, the sources AI engines cite don't mention them, or AI crawlers can't reach the content at all.
My GEO process
GEO and answer engine optimization (AEO) share most of the same work. Here's how I approach it:
- Map the prompts your buyers actually use, from category to comparison questions
- Reverse-engineer citations to see which sources each engine trusts
- Make content citable with clear answers, specific facts, and structured data
- Earn third-party mentions through digital PR and outreach
- Track citations and competitor share of voice over time
What you get
You get a prompt map built around your buyers' real questions, a citation analysis for your category, and page-level recommendations or rewrites. I also build a list of the third-party sources worth earning mentions in, then report on citations and share of voice as AI answers change.
GEO usually runs as an ongoing engagement. Want a baseline first? Start with an AI visibility audit, or see my broader AI search optimization services.
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Ready to get started?
Tell me what's going on with your site and I'll tell you honestly whether I can help, and what I'd focus on first.