Agent-readiness report, Software and SaaS
No class of agent can use Channel3 today: they cannot extract its content.
channel3.ai, last scanned 3 days ago, on 08.10.2026
Agent classes working
0/3
Score history
-new1 scan since 08.10.2026
0 of 3 agent classes work
Every integration has to scrape HTML, which most integrators will not do.
BlockerRetrieval chunks the page badly, so the passage a model quotes lacks its context.
BlockerCautious platforms will not act on the site without an explicit permission signal.
ImprovementModels prefer sources they can date, and drop undated pages from time-sensitive answers.
ImprovementAgents spend tokens on HTML instead of receiving the page as Markdown.
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Channel3 exposes 7 of 8 interfaces agents look for: AI crawler access, Bot user-agent handling, Server-rendered content, llms.txt, MCP server, Organisation markup, Machine-readable contact.
Locked
All 8 interfaces and 26 checks for channel3.ai
See which interface is missing, what each check looked for, and what to change to pass it. Free account, no card.
View detailed signalsThe seal
Agents can complete the site's main task without a human. Paste this line where you want the seal: it is drawn at runtime, so it upgrades itself when you improve and removes itself if a deploy closes the site to agents.
<script src="https://qomvia.com/badge.js" data-slug="channel3-ai" async></script>There is no image URL and no static version. The seal exists only as markup we serve per request, which is what makes it worth displaying.
Channel3 (channel3.ai) scores 75 out of 100 for agent readiness, grade B, measured 3 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.
The heaviest problems are: No API or feed to read; No heading hierarchy; No stated policy for automated access; Nothing says when the content changed; No Markdown for agents. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.
Qomvia fetches public pages of channel3.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.
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 3 days ago, on 08.10.2026.
Scores are computed from public HTTP responses only. We never submit forms, never attempt a purchase and never bypass a bot challenge. Disagree with a result? Request a correction or opt this domain out.