LLMrefs

Increase your brand’s visibility in AI search

Freemium

Description

LLMrefs is an advanced AI SEO Keyword Tracker designed to assist brands in enhancing their visibility within AI-driven search environments. It focuses on tracking keyword rankings and optimizing a brand's AI SEO performance across prominent AI models such as ChatGPT, Gemini, and Perplexity.

The platform provides users with crucial insights into how AI models reference their content, enabling them to improve their chances of being cited. By offering features like real-time keyword crawling, competitor analysis, and a proprietary LLMrefs Score (LS), LLMrefs empowers users to understand their AI search visibility, identify content gaps, and strategically refine their content for better performance in the evolving landscape of AI search.

Key Features

AI SEO Keyword Tracking: Track keyword rankings and optimize performance in ChatGPT, Gemini & Perplexity.
Cited Source Identification: See exactly which websites and sources AI models reference for your industry.
LLMrefs Score (LS): Proprietary metric to monitor AI search performance and spot quick wins.
Real-time Keyword Crawling: Live keyword tracking data for important keywords.
Competitor Analysis: Discover competitor rankings in AI search and find content gaps.
Multi-Model Tracking: Supports major AI models including OpenAI ChatGPT, Anthropic Claude, Google Gemini, Perplexity & xAI Grok.
AI Model Bias Insights: Analyze how different AI models interpret and rank content, revealing model-specific biases.

Use Cases

Boosting brand visibility in AI search results.
Optimizing content to be cited by AI models.
Monitoring keyword ranking trends in AI search engines.
Analyzing competitor performance and strategies in AI search.
Conducting AI-specific keyword research and exploration.

Frequently Asked Questions

What is the LLMrefs Score (LS)?

The LLMrefs Score is our proprietary metric that measures how well your content ranks in AI search results for a specific keyword. We look at your ranking weight, how consistently you show up across different AI models, prompt, temperature & top_p variations. Think of it as your content's AI search report card.

How is AI search different from traditional search?

AI search engines use large language models to understand context, intent, and natural language in ways traditional search engines can't. They can interpret nuanced queries, understand semantic relationships, and provide more contextual results, making traditional SEO strategies less effective.

Which AI search engines do you track?

We track all major AI models including OpenAI ChatGPT, Anthropic Claude, Google Gemini, Perplexity & xAI Grok. The platform automatically includes updates for each AI model and search engines as they are available. And we're adding more models all the time!

How often is the data updated?

We check AI search results in real-time. How often your dashboard updates depends on your plan - Free users get weekly updates, Pro users get daily updates, and Enterprise users can pick their update schedule.

What insights do you provide about AI model biases?

We analyze how different AI models interpret and rank content, revealing model-specific biases and preferences. This helps you understand why certain content performs better on specific models and how to optimize accordingly.