Buyers now ask AI before they ask Google. RANK tracks every mention, citation and recommendation your brand gets inside large language models — and turns that data into a plan to earn more of it.
Before you can track visibility inside AI models, it helps to know exactly what they are. Here are straight answers to the questions we get asked most.
An LLM is an AI system trained on enormous amounts of text so it can read a question and write a natural-language answer, instead of returning a page of blue links. ChatGPT, Gemini and Claude are all products built on top of an LLM.
In AI, the LLM is the engine, not the app. It's the trained model that predicts and generates language, letting a chatbot summarize a topic, compare products, or recommend a brand directly inside the conversation.
Inside generative AI, the LLM is specifically the piece that generates original output — the answer, summary or recommendation — based on patterns it learned and the sources it's been given access to.
In marketing, LLM visibility refers to whether your brand gets mentioned, cited or recommended when someone asks an AI model a buying question — the modern equivalent of ranking on page one.
A repeatable, four-step process that turns "is AI mentioning us?" into an answer backed by data — and a plan to improve it.
We build a library of the real questions your buyers type into AI tools, from broad category searches to branded comparisons.
Every prompt is run on a recurring schedule across ChatGPT, Gemini, Perplexity, Copilot, Claude and Google AI Overviews.
We log whether you're mentioned, which sources the model cited, how you're described, and how that compares to competitors.
Findings feed directly into your content, structured data and GEO strategy, then we re-track to confirm visibility improved.
Every RANK LLM visibility report includes clear, client-ready charts — not raw exports.
Percentage of tracked prompts where a client brand was cited, by platform.
Share of tracked prompts, by question type, that surfaced the brand in an AI answer.
Most agencies bolted "AI SEO" onto an old SEO playbook. RANK built LLM tracking and Generative Engine Optimization as their own discipline, from day one.
We map the actual questions your buyers ask AI models, instead of tracking a generic keyword list that was never written for a chatbot.
LLM answers shift as models update. Your visibility is re-tested on a recurring cadence, so reporting reflects reality, not a one-time snapshot.
We show you exactly which page, source or competitor an AI model pulled from, so fixes target the actual source, not a hunch.
Being mentioned isn't enough. We score how favorably each model describes you against named competitors.
Findings route straight into our content and GEO teams, so gaps get closed instead of sitting in a static dashboard.
Client-ready charts and a plain-English summary, not a raw spreadsheet of API responses.
How mapped prompts, citation-source fixes and a GEO content sprint moved one client from near-zero AI mentions to a leading share of voice in its category.
"We had no idea we were completely absent from ChatGPT's answers to our own category questions. RANK's tracking showed us exactly why, and exactly what to fix."VP Marketing, B2B SaaS Client
Tracked mentions across ChatGPT, Gemini & Perplexity, Week 1–12
The questions we hear most from clients before they start tracking AI visibility.
Get a free report showing where your brand does, and doesn't, appear across ChatGPT, Gemini and AI Overviews.
