What is LLM Visibility?

LLM Visibility refers to how frequently and prominently your website's content is cited or referenced by Large Language Models (LLMs) like ChatGPT, Claude, and Gemini when users ask relevant questions. Higher visibility means your brand is more likely to be part of the AI-generated answer.

How does GEO differ from traditional SEO?

While SEO (Search Engine Optimization) focuses on ranking in the 'blue links' of search engine results pages, GEO (Generative Engine Optimization) focuses on influencing the content generated by AI engines. GEO prioritizes authoritative, structured, and factual content that LLMs can easily parse and verify.

Which AI models does GeoRadar analyze?

Currently, our radar interrogates GPT-4o (OpenAI), Claude 3.5 Sonnet (Anthropic), and Gemini 2.0 Flash (Google). We are constantly adding new models like Llama 3 and DeepSeek to provide a broader view of your AI visibility.

How can I improve my visibility scores?

Key strategies include using clear semantic HTML, adding structured data (JSON-LD), providing direct answers to common industry questions, and ensuring your site content is factual and well-cited. Our 'Improve' feature provides personalized suggestions based on your scan.

Is LLM visibility the same as SGE ranking?

They are closely related. SGE (Search Generative Experience) is Google's specific implementation of AI-powered search. LLM visibility covers a broader range of assistants and tools, including standalone chatbots and integrated browser assistants.

LLMVisibilityRadar

Enter a URL to discover how different large language models perceive and rank your website. See your site through the eyes of AI and find ways to improve your website visibility.

SYSTEM READY

How the Radar Works

Three steps to understand your AI visibility. No sign-up required.

You enter a URL

Paste any website URL into the scanner. We fetch the page content and strip it down to its core text, headings, and structure -- the same way an LLM would process it.

3 LLMs analyze it

We send your page content to three different large language models simultaneously -- GPT-4o, Claude 3.5 Sonnet, and Gemini 2.0 Flash.

You see the results

Each model returns a visibility score (0-100), a sentiment assessment, and a summary of how it perceives your site. You get a combined Visibility Index so you can benchmark your GEO performance.

Note: Scores reflect each model's self-assessment of how likely it is to reference your content. Results may vary between runs due to the non-deterministic nature of LLM responses. Use the Visibility Index as a directional benchmark, not an absolute metric.

What is GEO?

Generative Engine Optimization (GEO) is the practice of optimizing your web content so that AI-powered search engines and large language models reference, cite, and recommend your pages when users ask questions.

Traditional SEO

Optimizes for search engine crawlers to rank your pages in a list of blue links. Users click through to your site.

GEO

Optimizes for LLMs to include your content in AI-generated answers. Users receive your information directly in chat responses.

Why it matters

As users shift from traditional search to AI assistants like ChatGPT, Perplexity, and Google AI Overviews, websites that are not visible to LLMs risk losing a growing share of organic traffic. GEO ensures your brand is part of the AI-driven conversation.

Key GEO Strategies

Structured Content

Organize content with clear headings, lists, and schema markup so LLMs can parse and cite your pages accurately.

Authoritative Citations

Include statistics, expert quotes, and credible sources. LLMs favor content that demonstrates authority and trustworthiness.

Direct Answers

Provide concise, factual answers to common questions. LLMs extract these as high-confidence snippets in responses.

Common Questions

Enter a URL above to begin scanning