LLM Pulse

Overview

Monitor and optimize brand visibility across LLM AI search responses.

LLM Pulse tracks AI search visibility and brand presence across LLMs such as ChatGPT, Perplexity, Google AI Mode and Google AI Overviews.

It offers prompt tracking and AI prompt suggestions to surface the real questions users ask and inform SEO/AEO and content strategies.

Citation analysis shows which sources and pages LLMs reference, with exports and Looker Studio connectors for reporting.

A visibility score and competitor benchmarking quantify share of AI recommendations and changes over time.

Sentiment tracking and detailed response views reveal framing, inaccuracies, and reputation signals for PR and reputation teams.

Use Cases

• Monitor and improve your brand's visibility across ChatGPT, Perplexity and Google AI by tracking LLM search visibility scores, analyzing citations and refining prompts with automated suggestions, then export executive-ready reports via API to demonstrate impact.
• Benchmark AI recommendations and search presence against competitors by comparing visibility scores, citation overlap and response sentiment to identify content gaps and optimize prompts for higher discovery and accurate attribution.
• Protect brand reputation and ensure compliance by inspecting AI responses for sentiment, factual citations and risky language across LLMs, trigger alerts, apply recommended prompt fixes and generate audit-ready exports for legal and PR teams.

Who Is It For

• Digital marketers
• Data analysts
• E-commerce sellers
• Brand managers
• Strategic planners