Agent-readiness report, Software and SaaS
Is Boost agent-ready?
No class of agent can use Boost today: they cannot call it as a tool.
boost.ch, last scanned 2 days ago, on 28.09.2026
Agent classes working
0/3
Score history
±04 scans since 20.09.2026
- 4
- Blocking agents
- 18
- Weak spots
- 4/26
- Checks passed
What costs Boost the most
0 of 3 agent classes work
- !Answer engines & research agents
- ✕MCP tool-callers
- !Summarisers & knowledge agents
- ✕
No discoverable sitemap
Agents have to find pages by luck instead of reading a list.
Blocker - ✕
No llms.txt
Nothing tells an agent where the useful pages, feeds and policies are.
Blocker - ✕
The site does not say who it is
A model cannot tell that this domain is the brand it was asked about.
Blocker - ✕
No MCP endpoint to call
Tool-calling assistants have no function to call, so they can only scrape.
Blocker - ✕
No stated policy for automated access
Cautious platforms will not act on the site without an explicit permission signal.
Improvement
✓4 checks passed · 17 more to fix+−
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Machine interfaces
Boost exposes 1 of 8 interfaces agents look for: Bot user-agent handling.
Locked
All 8 interfaces and 26 checks for boost.ch
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View detailed signalsThe seal
Not yet certified
boost.ch is in progress: Partly readable. Not yet good enough to display a public mark. Reach 60/100 to earn Agent-Readable and display it on your site.
Preview of Agent-Readable, greyed out until boost.ch scores 60/100. There is no embed code until it is earned.
- Agent-Ready Champion90+
- Agent-Ready75+
- Agent-Readable60+
- In Progress40+, dashboard only
Boost and AI agents: common questions
Is Boost readable by AI agents?+−
Boost (boost.ch) scores 45 out of 100 for agent readiness, grade D, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright.
What stops agents from using boost.ch?+−
The heaviest problems are: No discoverable sitemap; No llms.txt; The site does not say who it is; 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.
How is the Boost agent-readiness score calculated?+−
Qomvia fetches public pages of boost.ch 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.
How often is this score updated?+−
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 28.09.2026.
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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.