# Llmclicks (llmclicks.ai): agent-readiness 69/100, grade C

> Rank 158 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T21:50:15.757Z. Page: https://qomvia.com/site/llmclicks-ai  JSON: https://qomvia.com/api/score/llmclicks-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about llmclicks.ai in my training data. Therefore, I cannot provide a summary of what this site is or what it does from my own knowledge.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific features and services offered",
    "Target audience and market",
    "Business model details",
    "Geographic operating regions",
    "Founding history and team"
  ],
  "alternatives": [],
  "business": "Cannot determine based on available knowledge.",
  "competitors": []
}

## Score by group
- Machine access: 21/24
- Content legibility: 25/26
- Discovery surface: 8/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 2/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] robots.txt allows AI crawlers

## Add-on packs
- E-commerce & product feeds: 16/100 (not part of the public score)

## AI mentions and rivals
Named in 3 AI assistant answers.


## Named for
- 1. Which AI visibility monitoring platform should a small or medium-sized company use to track brand mentions, competitors and recommendations across LLMs? https://qomvia.com/answers/1-which-ai-visibility-monitoring-platform-should-a-small-or-medium-sized-company

## FAQ
Q: Is Llmclicks readable by AI agents?
A: Llmclicks (llmclicks.ai) scores 69 out of 100 for agent readiness, grade C, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using llmclicks.ai?
A: The heaviest problems are: No llms.txt; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; robots.txt allows AI crawlers. 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 Llmclicks agent-readiness score calculated?
A: Qomvia fetches public pages of llmclicks.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. E-commerce & product feeds checks are scored separately (16/100) and do not affect the public score or rank.

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 2 days ago, on 08.10.2026.

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