LLMrefs tracks brand visibility, rankings, and citations across generative AI search tools and benchmarks competitors.

llmrefs.com
LLMrefs homepage screenshot

About LLMrefs

LLMrefs tracks brand visibility, keyword rankings and citations across generative AI search tools including ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude and others. Users import SEO keyword lists, and the service generates related prompts and aggregates brand mentions, rankings and competitor data per keyword. It reports share of voice and position, lists source URLs cited in AI answers, and supports geo-targeting across 20+ countries and 10+ languages. Projects can be organized by client, and data can be exported to CSV or accessed via API.

Key features

  • Tracks keyword rankings across multiple generative AI search engines
  • Generates fan-out prompts based on real user conversations
  • Benchmarks brands using share of voice and position
  • Lists source URLs cited in AI answers
  • Supports geo-targeting across 20+ countries and 10+ languages
  • Exports data to CSV and offers API access
Best for: Marketing teams, agencies and SEOs monitoring brand visibility in AI search results.
Good for
  • Coverage includes ChatGPT, Google AI Overviews, Perplexity, Gemini and Claude
  • Keyword-level tracking aggregates multiple related prompts per keyword
  • Includes competitor benchmarking, cited sources, CSV export and API access

LLMrefs at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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LLMrefs FAQ

Which AI search engines are covered?
ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI and DeepSeek AI, among others.
How does tracking work?
Users import SEO keyword lists; LLMrefs generates related prompts based on real conversations and aggregates brand mentions, rankings and citations per keyword.
Can it be used for client work?
Projects can be organized by client with keywords distributed across projects, team invites, and CSV export.
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