LLMO Metrics VS LLMrefs

LLMO Metrics Pricing

LLMrefs Pricing

LLMO Metrics

• AI Response Tracking: Monitor brand presence in ChatGPT, Gemini, Copilot, AI Overviews, Claude, and Perplexity.
• Competitive Benchmarking: Compare brand ranking against competitors for key queries.
• Answer Correction & Validation: Ensure AIs provide accurate information about the business.
• Historical Tracking: Monitor how AI performance and brand presence evolve over time.
• Source Identification: Discover which web pages LLMs rely on for their responses about your brand.
• Content Optimization Guidance: Receive actionable insights on improving your brand’s AI footprint.
• Automated Weekly Reports: Get scheduled insights delivered via email or preferred channels.
• Multi-LLM Coverage: Unified insights across the most influential AI models.

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).

LLMO Metrics Use Cases

• Monitoring brand visibility in AI search results.
• Optimizing web content for Large Language Model understanding (LLMO/GEO).
• Tracking competitor performance within AI-generated responses.
• Ensuring factual accuracy of brand information presented by AI models.
• Identifying content gaps to enhance AI visibility.
• Generating performance reports on AI presence for marketing and SEO teams.
• Benchmarking brand representation against industry rivals in AI.

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.

LLMO Metrics FAQs

• What is LLMO?

  It’s the practice of structuring your content and data so that it can be understood, prioritized, and reused by AI models in their generated responses. While traditional SEO focused on rankings, LLMO focuses on visibility inside AI answers.
• What is GEO?

  Generative Engine Optimization or GEO, it's pretty much the same like LLMO. GEO focuses on visibility within generative tools like ChatGPT.
• What is a "query" or "prompt"?

  A query is a specific question you want to monitor across all AI providers. For example: Which is the best law university in London?
• What is the deliverable?

  We generate AI-powered reports, ensuring accuracy and depth. Every deliverable is reviewed by our experts to provide you with the best analysis. Your results will be delivered via email or your preferred communication channel.
• Can I change the content of AI responses?

  Yes! Our reports provide insights into which internal pages from your brand are being used to generate responses. You'll also gain a clear understanding of the external pages referenced for competitor comparisons.

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.

Uptime Monitor

Uptime Monitor