# Bullshark (bullshark.digital): agent-readiness 66/100, grade C

> Rank 198 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T02:10:16.501Z. Page: https://qomvia.com/site/bullshark-digital  JSON: https://qomvia.com/api/score/bullshark-digital

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about bullshark.digital from my training data.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Its specific reputation or market standing",
    "Its typical client size or industry focus",
    "Its unique selling propositions beyond generic agency services",
    "Customer reviews or testimonials",
    "The actual scope and quality of its services"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 23/26
- Discovery surface: 8/20
- Identity & policy: 5/12
- Agent-facing performance: 6/8
- Agent protocols: 0/10
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] No Content Signals

## Add-on packs
- E-commerce & product feeds: 15/100 (not part of the public score)

## FAQ
Q: Is Bullshark readable by AI agents?
A: Bullshark (bullshark.digital) scores 66 out of 100 for agent readiness, grade C, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using bullshark.digital?
A: The heaviest problems are: No llms.txt; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; 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 Bullshark agent-readiness score calculated?
A: Qomvia fetches public pages of bullshark.digital 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 (15/100) 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 yesterday, on 29.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard
- Score another site: https://qomvia.com/