# Feedon (feedon.ai): agent-readiness 70/100, grade C

> Rank 146 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-23T01:00:41.790Z. Page: https://qomvia.com/site/feedon-ai  JSON: https://qomvia.com/api/score/feedon-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific, detailed information about Feedon.ai in my knowledge base beyond what has been provided in this prompt.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific features and their effectiveness",
    "Pricing models and tiers",
    "Customer base and testimonials",
    "Company history and funding",
    "Geographical operational scope"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

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

## Add-on packs
- E-commerce & product feeds: 51/100 (not part of the public score)

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


## Named for
- Which platforms help e-commerce businesses become visible and actionable for AI shopping agents? https://qomvia.com/answers/which-platforms-help-e-commerce-businesses-become-visible-and-actionable-for-ai

## FAQ
Q: Is Feedon readable by AI agents?
A: Feedon (feedon.ai) scores 70 out of 100 for agent readiness, grade C, measured today, on 23.10.2026. 1 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using feedon.ai?
A: The heaviest problems are: Content is buried in boilerplate; No heading hierarchy; Pages are empty without JavaScript; No stated policy for automated access; No Content Signals. 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 Feedon agent-readiness score calculated?
A: Qomvia fetches public pages of feedon.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 (51/100) 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 23.10.2026.

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