# Pranas (pranas.co): agent-readiness 56/100, grade D

> Rank 526 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T13:00:44.548Z. Page: https://qomvia.com/site/pranas-co  JSON: https://qomvia.com/api/score/pranas-co

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "I do not have specific knowledge about pranas.co from my training data."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 18/24
- Content legibility: 11/26
- Discovery surface: 12/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 2/10
Failing checks:
- [blocker] Content is buried in boilerplate
- [blocker] No heading hierarchy
- [blocker] Pages are empty without JavaScript
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access

## Add-on packs
- E-commerce & product feeds: 30/100 (not part of the public score)

## AI mentions and rivals
Named in 2 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

## FAQ
Q: Is Pranas readable by AI agents?
A: Pranas (pranas.co) scores 56 out of 100 for agent readiness, grade D, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright.

Q: What stops agents from using pranas.co?
A: The heaviest problems are: Content is buried in boilerplate; No heading hierarchy; 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 Pranas agent-readiness score calculated?
A: Qomvia fetches public pages of pranas.co 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 (30/100) 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 today, on 30.09.2026.

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