LLM Pulse (llmpulse.ai) is one of several specialist AI visibility platforms - alongside Trakkr, AthenaHQ, and Profound - that track how brands appear across answers from ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. The company started in 2025, launched in July 2025, and is bootstrapped and profitable since day one. That matters because the product reads as built for usage, not fundraising theater.
The public position is straightforward: turn AI responses into structured, actionable data. The current surface includes prompt tracking, brand visibility, citation analysis, sentiment tracking, model comparison, web analytics integration, share of voice, prompt suggestions, prompt research, query fan out, reputation, content intelligence, recommendations, Data Studio integration, app tracking, OAuth MCP on every plan, REST API access from Scale, and Enterprise white-label options. That is a wider surface than most new entrants in the AEO and GEO category.
What is gated is also informative. The five included engines are ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews. LLM Pulse's help center says Growth and above can add Claude, Copilot, Grok, DeepSeek, Meta AI, and Alexa for Shopping, but the pricing table labels extra models Enterprise-only. That conflict is worth confirming before purchase because add-on prices are not public. AI Traffic Analytics and Reddit Intelligence start on Growth, while full white label and SSO require Enterprise. Where Trakkr differs is breadth on every plan: all 8 models, citations, perception, competitor share, Reddit, crawler analytics, and recommended Agent actions in one workflow; Profound ships Prompt Volumes panel data for Fortune 500 buyers.
The practical takeaway is that LLM Pulse sits in the middle of the AI visibility market in a useful way: more capable than basic mention trackers, more accessible than enterprise-only platforms, and less rigid than credit-based or add-on-billed systems.