# Llmpulse (llmpulse.ai): agent-readiness 82/100, grade B

> Rank 12 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-27T12:50:45.051Z. Page: https://qomvia.com/site/llmpulse-ai  JSON: https://qomvia.com/api/score/llmpulse-ai

## Summary
Category: Software and SaaS
{
  "known": true,
  "confidence": "high",
  "summary": "LLM Pulse is an AI search visibility and reputation platform designed for brands. It tracks and optimizes how brands appear in AI-generated answers across various generative AI models.",
  "offerings": [
    "AI search visibility platform",
    "Brand mention tracking",
    "Citation tracking",
    "Sentiment analysis",
    "AI Visibility Report",
    "Generative Engine Optimization (GEO)"
  ],
  "audience": "Brands and businesses seeking to manage their presence and reputation in AI search environments.",
  "geography": null,
  "strengths": [
    "Specialized focus on optimizing visibility in generative AI search.",
    "Monitors brand mentions, citations, and sentiment across multiple AI models (ChatGPT, Perplexity, Gemini, Google AI, etc.).",
    "Provides insights to improve AI-generated answers about a brand.",
    "Offers a free AI Visibility Report.",
    "Aims to inform brands about what AI says about them before customers do."
  ],
  "unknowns": [
    "Specific pricing tiers and costs.",
    "Customer testimonials or case studies.",
    "The company's founding date or size.",
    "Detailed technical methodology of its tracking and optimization algorithms.",
    "Specific market share or adoption rates."
  ],
  "alternatives": [],
  "business": "Provides an AI search visibility and reputation management platform for brands to track and optimize their presence in generative AI models globally.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 22/26
- Discovery surface: 15/20
- Identity & policy: 8/12
- Agent-facing performance: 6/8
- Agent protocols: 7/10
Failing checks:
- [blocker] No heading hierarchy
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] HTML payload size
- [polish] No Link headers for agents

## AI mentions and rivals
Named in 1 AI assistant answers.


## Named for
- What are the best tools to track how a brand is mentioned and recommended by AI assistants like ChatGPT, Claude and Gemini? https://qomvia.com/answers/what-are-the-best-tools-to-track-how-a-brand-is-mentioned-and-recommended-by-ai
- best tool to check if AI agents can read my website https://qomvia.com/answers/best-tool-to-check-if-ai-agents-can-read-my-website

## FAQ
Q: Is Llmpulse readable by AI agents?
A: Llmpulse (llmpulse.ai) scores 82 out of 100 for agent readiness, grade B, measured 3 days ago, on 27.09.2026. 1 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using llmpulse.ai?
A: The heaviest problems are: No heading hierarchy; No MCP endpoint to call; No stated policy for automated access; HTML payload size; No Link headers for agents. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.

Q: How is the Llmpulse agent-readiness score calculated?
A: Qomvia fetches public pages of llmpulse.ai as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100.

Q: How often is this score updated?
A: Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from 3 days ago, on 27.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software
- Score another site: https://qomvia.com/