About
The team behind LLM Audit
LLM Audit is an independent AI search visibility tool. We measure whether AI assistants and AI search recommend your brand — or your competitors — when buyers ask about your category, and we hand you a concrete plan to close the gap.
Why we built it
Buyers increasingly start with ChatGPT, Gemini, and Perplexity instead of a search box. If those systems never name your brand, you lose the deal before you know it existed — and unlike classic SEO, there is no rankings dashboard telling you why.
LLM Audit exists to make that invisible layer measurable. We run your buyer-intent prompts against real model APIs, repeat them to separate signal from noise, and turn the result into a publishing plan you can actually execute. Trust is the product, so we are explicit about what the score means and what we deliberately do not claim — see the methodology.
Who is behind it
LLM Audit is founded and built by Nahuel Soria, a software engineer working across AI, search, and payments infrastructure. He writes the audits, the methodology, and the essays on this site.
How we work
- — We query real model APIs, not scraped consumer chat apps.
- — We repeat each prompt to report confidence, not a single lucky run.
- — We publish our methodology and never fake reviews, ratings, or endorsements.