Finnish B2B Websites Score Poorly on AI Agent Readiness, Scan Finds

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A scan of sixteen Finnish B2B and industrial websites using two agent-readiness tools found that every site scored below 50 out of 100, with an average of around 39. Nearly all sites landed at Level 1 or lower on a five-level readiness scale, meaning AI agents can locate the sites but struggle to read or act on them. Key gaps included HTML-heavy pages with excessive token overhead, missing structured data such as JSON-LD, and no support for markdown negotiation, APIs, or agent-authentication metadata. The author notes that unlike traditional SEO, where most sites performed adequately, agent-readiness requires additional steps such as serving markdown, adding structured data, and publishing an llms.txt file. Two sites that had already published an llms.txt ranked highest in the sample, suggesting that targeted, technical fixes can meaningfully improve a site's visibility to AI agents.

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