LLMrefs
VS
LLM Pulse
LLMrefs
LLMrefs offers an AI-powered solution for tracking keyword rankings within major AI search platforms, including ChatGPT, Gemini, and Perplexity. It enables users to understand how their brand performs in the evolving landscape of AI-driven search. The tool identifies which websites and sources are referenced by AI models for specific industry-related queries, providing valuable data to enhance the probability of being cited.
By monitoring keyword performance (frequency dependent on plan), LLMrefs helps users optimize their content for better visibility in AI search results. It features a proprietary LLMrefs Score (LS) to simplify performance monitoring and identify strategic opportunities. The platform also facilitates competitor analysis by revealing how often competitors appear in AI search results, allowing users to discover content gaps and refine their SEO strategies accordingly.
LLM Pulse
LLM Pulse is an innovative AI monitoring platform designed to help businesses track and analyze their brand presence across various Large Language Models (LLMs). The platform serves as a comprehensive radar system that continuously monitors how brands are referenced and represented across major AI platforms including ChatGPT, Perplexity Search, and Google AI.
The platform offers sophisticated tracking capabilities, enabling users to monitor specific prompts, analyze citations, and measure brand visibility through detailed metrics. With features like competitive analysis, sentiment tracking, and customized prompt suggestions, LLM Pulse empowers organizations to make data-driven decisions about their AI presence and maintain brand consistency across the evolving landscape of artificial intelligence.
Pricing
LLMrefs Pricing
LLMrefs offers Freemium pricing with plans starting from $79 per month .
LLM Pulse Pricing
LLM Pulse offers Paid pricing with plans starting from $49 per month .
Features
LLMrefs
- AI Model Tracking: Monitors keyword rankings across major AI models including ChatGPT, Gemini, Perplexity, Claude, and Grok.
- Source Identification: Reveals which websites and sources AI models cite for specific queries.
- LLMrefs Score (LS): Proprietary metric measures content ranking performance in AI search results.
- Keyword Crawling: Provides keyword tracking data (update frequency varies by plan).
- Competitor Analysis: Tracks competitor rankings and identifies content gaps in AI search.
- AI Keyword Explorer: Helps discover high-impact keywords and topics for AI search optimization.
- Trend Reporting: Offers weekly reports on keyword performance trends (Pro plan).
LLM Pulse
- Prompt Tracking: Monitor and group key prompts by tags for comparative analysis
- Citations Analysis: Track brand references across multiple AI models
- Visibility Score: Measure brand visibility across popular AI models with competitive filtering
- Detailed Responses: Access comprehensive LLM answers with citation and ranking insights
- AI Prompt Suggestion: Get customized recommendations for prompt tracking
- Competitive Analysis: Compare brand performance against competitors
- Brand Sentiment Analysis: Evaluate AI-generated sentiment about your brand
- Multi-Model Support: Track across ChatGPT, Perplexity Search, and Google AI
Use Cases
LLMrefs Use Cases
- Monitoring AI SEO performance for specific keywords.
- Optimizing content to increase visibility in AI search results (ChatGPT, Gemini, etc.).
- Identifying top-cited sources in AI responses within an industry.
- Analyzing competitor performance and strategies in AI search.
- Discovering content gaps and opportunities for AI SEO.
- Researching effective keywords and topics for AI optimization.
LLM Pulse Use Cases
- Brand visibility monitoring in AI search results
- Competitive analysis in AI-generated content
- Track brand mentions across multiple AI platforms
- Monitor brand sentiment in AI responses
- Analyze product visibility in AI search
- Campaign performance tracking across AI models
- Brand reputation management in AI space
FAQs
LLMrefs FAQs
-
How does AI keyword tracking work in LLMrefs?
LLMrefs tests keywords across various AI models using different settings to determine why, where, and how often content appears. This data calculates the LLMrefs Score (LS) to show visibility in AI search results. -
What is the LLMrefs Score (LS)?
The LLMrefs Score is a proprietary metric measuring content ranking in AI search results, considering ranking weight and consistency across different AI models and prompt variations. -
How is AI search different from traditional search?
AI search uses large language models to understand context, intent, and natural language better than traditional search engines, interpreting nuanced queries and providing more contextual results. -
Which AI search engines does LLMrefs track?
LLMrefs tracks major AI models including OpenAI ChatGPT, Anthropic Claude, Google Gemini, Perplexity, and xAI Grok, with plans to add more. -
How often is the keyword ranking data updated?
Data is checked in real-time. Dashboard updates depend on the plan: Free users get weekly updates, Pro users get daily updates, and Enterprise users have customizable schedules.
LLM Pulse FAQs
-
What is an LLM and why should I track it?
A Large Language Model (LLM) is an AI like ChatGPT. Tracking them is crucial because they are becoming a primary source of information for millions. Ensuring your brand is represented accurately is the new SEO. -
Which language models do you track?
We currently track ChatGPT, Perplexity Search, Google AI Mode and Google AI Overviews. We're constantly expanding our coverage to include more models! -
How often is the data updated?
Our tracking frequency is weekly for all plans, giving you a regular pulse on how your brand is being perceived and discussed. We offer daily plans on-demand. -
What counts as a 'response'?
A response is a single answer generated by a specific LLM for one of your tracked prompts. We aggregate these to show you trends over time. -
Can I compare my brand against competitors?
Yes. You can benchmark against any competitor and compare yourself across every metric, with changes visualized over time.
Uptime Monitor
Uptime Monitor
Average Uptime
99.68%
Average Response Time
276.07 ms
Last 30 Days
Uptime Monitor
Average Uptime
100%
Average Response Time
2513 ms
Last 30 Days
LLMrefs
LLM Pulse
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