Agent-readiness audits and advisory · turva.dev

# turva.dev > Agent-readiness audits and advisory for product teams. > Independent measurement of how readable a site or API is by AI agents, > with a prioritized fix list and implementation support. > Based in Tampere, Finland. Async-only engagement. > Language: English. ## Services - [Services](https://turva.dev/services) - [Company](https://turva.dev/company) - [Contact](https://turva.dev/contact) - [Legal](https://turva.dev/legal) ## Guides - [Agent-readiness guides](https://turva.dev/guides) - [What an agent-readiness audit is](https://turva.dev/guides/agent-readiness-audit) - [How to get your site cited by AI assistants](https://turva.dev/guides/get-cited-by-ai-assistants) - [llms.txt explained](https://turva.dev/guides/llms-txt) - [MCP server cards explained](https://turva.dev/guides/mcp-server-card) - [What agents.json is](https://turva.dev/guides/agents-json) - [x402 and agent payments](https://turva.dev/guides/x402-agent-payments) - [Response headers that help agents](https://turva.dev/guides/response-headers-for-agents) - [SEO and agent-readiness are not the same](https://turva.dev/guides/seo-vs-agent-readiness) - [Agent-readiness, AEO and GEO: how they relate](https://turva.dev/guides/agent-readiness-aeo-geo) - [Letting agents act on data: the decision envelope](https://turva.dev/guides/letting-agents-act-on-data) - [AI agent use cases: where agents read data and make decisions](https://turva.dev/guides/ai-agent-use-cases) - [JSON-LD and structured data for agents](https://turva.dev/guides/json-ld-structured-data) - [The /.well-known directory for agents](https://turva.dev/guides/well-known-for-agents) - [Agentic Resource Discovery and ai-catalog.json](https://turva.dev/guides/agentic-resource-discovery) - [How agents authenticate](https://turva.dev/guides/agent-authentication) - [Why agent-readiness should be measured, not asserted](https://turva.dev/guides/measurement-led-agent-readiness) - [Prerendering and why agents see empty pages](https://turva

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