You can't fix what you can't measure. We show you exactly where your brand stands inside major LLMs — what they say, what's wrong, and what to do about it.
The majority of brands have no idea how AI models describe them. They assume good SEO translates to AI visibility. It usually doesn't.
LLM Analytics & Audit is a structured investigation into your brand's presence across major AI models. We run systematic queries, document every response, and map the gap between how AI currently portrays you and how you actually want to be known. You get a clear picture of what's working, what's missing, and what's actively hurting you — with a roadmap to fix it.
СhatGPT didn't know this crypto prop firm existed. 90 days and a full GEO strategy later, it recommends them first.
Google TOP + growing LLM presence. The client needed authentic peer-driven visibility in Reddit threads and comparison posts where crypto wallet decisions are made.
How GEO delivered 780+ LLM citations and 688% ChatGPT growth for a crypto exchange — in a niche where paid ads are banned.
We query ChatGPT, Perplexity, Gemini, and other major models with the searches your buyers actually use. We document what comes back — whether you appear, what's said, and how you compare to competitors named in the same responses.
We identify every false, outdated, or misleading claim AI models generate about your brand. Pricing, founders, product features, market position — anything that's wrong gets flagged, documented, and prioritized for correction.
We run the same audit for your top competitors. You'll see exactly which brands AI recommends over you, in which query categories, and what signals are driving that gap.
We trace which sources AI models are actually pulling from when they talk about your category — so you know exactly where your brand needs to be present to start getting cited.
You get a clear score for your current LLM visibility across all major models, benchmarked against competitors. A single reference point that tells you where you stand and how far you have to go.
Every finding comes with a prioritized action. Not a generic checklist — a specific plan tied to your brand, your gaps, and the fastest path to showing up where it counts.
You've never actually tested it systematically. One or two manual queries don't tell you much. Without a proper audit, you're making decisions based on guesswork.
Outdated information, wrong product details, or misattributed claims are sitting in AI responses right now. Every day without catching them is a day they reach potential buyers.
The same brand names keep appearing in AI responses for your category. You don't know why they rank there or what they've done differently. The audit tells you exactly that.
You know you need more AI visibility but have no idea where to focus — which publications, platforms, or content types actually influence what LLMs say about your space.
Running optimization campaigns without an audit is like redesigning a website without analytics. You need to know where you're starting from before you can measure what's working.
Marketing thinks it's a content issue. Leadership thinks it's brand awareness. The audit cuts through the internal debate with data — here's what AI actually sees, here's what's missing.
