LLM Optimize VS LLMrefs

LLM Optimize Pricing

LLMrefs Pricing

LLM Optimize

• Competitor Analysis: Checks 2,500+ prompts over 10+ LLMs to determine keyword traffic for you and your competitors.
• Keyword Discovery: Provides content ideas and inspiration based on competitor LLM keyword rankings.
• Prompt Analysis: Identifies which prompts and models are driving traffic to you and your competitors.
• Dataset & Crawling Checks: Identifies and resolves website configuration issues that prevent LLMs from indexing content.
• On-Page Optimization: Recommends research-backed changes to improve content selection by LLMs.
• Blog Amendments [Beta]: Suggests small changes to existing content on top blog pages to optimize for LLMs.
• Keyword Affinity Calculation: Calculates the affinity between keywords and page content using methods similar to Generative Engines.
• Research-Backed Recommendations: Applies findings from a December 2023 study on Generative Engine Optimization.

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 Optimize Use Cases

• Improve website ranking in AI-powered search results.
• Identify high-value keywords for content optimization.
• Analyze competitor strategies in LLM rankings.
• Troubleshoot website configuration issues affecting LLM indexing.
• Optimize existing content for better LLM visibility.
• Generate new content ideas based on LLM trends.

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 Optimize FAQs

• Why get an audit?

  An audit helps you start writing content that ranks in LLMs, provides a one-time payment option, and detects configuration issues.
• What is a Generative Engine?

  It's a type of search engine or system that utilizes AI and large language models to generate responses and recommendations, such as Google's AI Overview.

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