# Alphagrade (alphagrade.ai): agent-readiness 50/100, grade D

> Rank 773 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-09T20:00:14.465Z. Page: https://qomvia.com/site/alphagrade-ai  JSON: https://qomvia.com/api/score/alphagrade-ai

## Summary
Category: Software and SaaS
{
  "known": true,
  "confidence": "high",
  "summary": "AlphaGrade.ai is an AI visibility analytics platform designed to help businesses monitor and optimize their brand's presence and recommendations across major large language models like ChatGPT, Claude, and Gemini. It provides tools to track brand mentions, sentiment, and competitor rankings within AI-generated responses to enhance generative search performance.",
  "offerings": [
    "AI visibility analytics",
    "Brand mention tracking",
    "Sentiment analysis",
    "Competitor ranking across LLMs",
    "Optimization for generative search",
    "LLM recommendation tracking"
  ],
  "audience": "Businesses and marketers looking to optimize their brand's visibility and reputation within AI search and generative AI platforms.",
  "geography": null,
  "strengths": [
    "Specializes in AI visibility analytics",
    "Covers a wide range of major LLMs (ChatGPT, Claude, Gemini, Perplexity, Grok, Llama, Mistral, DeepSeek)",
    "Offers brand mention and sentiment tracking",
    "Provides competitor intelligence for AI search",
    "Aids in optimizing for generative AI responses"
  ],
  "unknowns": [
    "Specific pricing structure beyond free analysis",
    "Detailed feature breakdown of the platform",
    "Company funding or leadership information",
    "Customer success stories or case studies",
    "Specific methodology for tracking LLM recommendations"
  ],
  "alternatives": [
    "Semrush.com",
    "Ahrefs.com",
    "Brandwatch.com",
    "Talkwalker.com",
    "Meltwater.com"
  ],
  "business": "AlphaGrade.ai provides an AI visibility analytics platform for businesses globally to track and optimize their brand's presence, sentiment, and rankings across major generative AI models.",
  "competitors": []
}

## Score by group
- Machine access: 18/24
- Content legibility: 15/26
- Discovery surface: 12/20
- Identity & policy: 0/12
- Agent-facing performance: 5/8
- Agent protocols: 0/10
Failing checks:
- [blocker] The site does not say who it is
- [blocker] Content is buried in boilerplate
- [blocker] Pages are empty without JavaScript
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access

## AI mentions and rivals
Named in 2 AI assistant answers.


## FAQ
Q: Is Alphagrade readable by AI agents?
A: Alphagrade (alphagrade.ai) scores 50 out of 100 for agent readiness, grade D, measured yesterday, on 09.10.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright.

Q: What stops agents from using alphagrade.ai?
A: The heaviest problems are: The site does not say who it is; Content is buried in boilerplate; Pages are empty without JavaScript; No MCP endpoint to call; No stated policy for automated access. 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 Alphagrade agent-readiness score calculated?
A: Qomvia fetches public pages of alphagrade.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 yesterday, on 09.10.2026.

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