// LLM Visibility
How Visible Is Your
Business to AI?
ChatGPT, Claude, Gemini and Perplexity are changing how people find information. Find out if your brand appears in AI-generated answers.
// What Is LLM Visibility?
A New Dimension
of Visibility
LLM Visibility describes how present a brand or website is in the responses of AI language models. Unlike traditional SEO, it's not about search result rankings, but whether AI models like ChatGPT, Claude or Gemini know the brand and mention it in generated responses.
Large Language Models (LLMs) generate responses from a combination of training data and — for some models — real-time retrieval from the web. The factors that determine which brands get mentioned differ significantly from traditional SEO signals.
The field is evolving rapidly. Early research shows clear trends, but there are no guaranteed ranking factors like in traditional SEO. Those who optimize early gain an advantage — but humility about the complexity of the topic is warranted.
// Known Factors
What Influences AI Visibility
Based on current research and practical experience.
Structured Data
Schema.org markup and JSON-LD help AI models understand content. Well-structured data increases the chance of being referenced in LLM responses.
llms.txt Standard
The new llms.txt standard (comparable to robots.txt) enables providing structured information about your website to AI crawlers.
Brand Presence
Mentions in authoritative sources — trade publications, Wikipedia, industry directories — increase the likelihood of being represented in LLM training data.
Technical Foundation
Correct robots.txt configuration, high-quality meta tags and clear content structure form the technical foundation for AI visibility.
// What Research Shows
Studies & Insights
Analyses of AI Overviews show: AI-generated answers in Google Search are fundamentally changing click behavior. Brands not appearing in these answers lose visibility — regardless of their traditional SEO ranking.
Studies on crawling behavior of LLM bots reveal significant differences from traditional search engine crawlers. How AI systems index websites requires new technical optimizations.
The llms.txt standard is establishing itself as the new counterpart to robots.txt — specifically for AI crawlers. Early adoption can create a competitive advantage, similar to early adoption of XML sitemaps.
Those who optimize early gain an advantage — but the field is young and the research landscape is evolving rapidly.
// How It Works
3 Steps to Your Score
Technical analysis + AI assessment = actionable plan.
Enter Domain
We automatically check your website for AI-relevant technical factors.
AI Assessment
Multiple AI models analyze how well your brand is known and whether it appears in AI-generated answers.
Score + Report
You receive a score from 0-100 with actionable recommendations via email.
// Next Step
Want to Improve Your
LLM Visibility?
We help you systematically make your brand visible to AI models — from structured data to content strategy.
Free Consultation