Agent-readiness report, Software and SaaS
No class of agent can use Machineread today: they cannot .
machineread.ai, last scanned 2 days ago, on 08.10.2026
Agent classes working
0/3
Score history
±03 scans since 01.10.2026
0 of 3 agent classes work
Cautious platforms will not act on the site without an explicit permission signal.
ImprovementWhen something breaks, an agent operator has no documented way to reach you.
ImprovementModels prefer sources they can date, and drop undated pages from time-sensitive answers.
ImprovementLocalised answers cannot tell which market the page serves, so it loses local queries.
PolishSigned, verifiable agents get treated like anonymous scrapers.
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Machineread exposes 7 of 8 interfaces agents look for: AI crawler access, Bot user-agent handling, Server-rendered content, llms.txt, MCP server, API or feed, Organisation markup.
Locked
All 8 interfaces and 26 checks for machineread.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="machineread-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.
Machineread (machineread.ai) scores 87 out of 100 for agent readiness, grade B, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 0 checks currently block agents outright.
The heaviest problems are: No stated policy for automated access; No machine-readable contact; Content carries a date; Language and market are declared; No Web Bot Auth support. 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 machineread.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 2 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.