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AI agents call audit_domain_premium to retrieve information from AEO Audit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
domain | string | Yes | The domain to audit (e.g., 'example.com') |
queries | array | Yes | Search queries to test |
provider | string | — | AI engine (default: exa) |
competitors | array | — | Competitor domains |
Parameters from the server's own tool schema.
Even though audit_domain_premium only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Premium AEO audit. Subscribe at https://buy.stripe.com/dRmbJ1cJh72E3TO57agjC00 ($9/mo unlimited) or pay $0.10 USDC per call via x402. Includes everything in audit_domain PLUS: - Actionable recommendations with priority ranking - Technical implementation guide (llms.txt, structured data, FAQ schema) - Competitive gap analysis with specific improvement steps - Estimated score improvement per recommendation. It is categorised as a Read tool in the AEO Audit MCP Server, which means it retrieves data without modifying state.
audit_domain_premium accepts 4 parameters: domain, queries, provider, competitors. Required: domain, queries. The full parameter table on this page comes from the server's own tool schema.
Register the AEO Audit MCP server in PolicyLayer and add a rule for audit_domain_premium: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AEO Audit. Nothing to install.
audit_domain_premium is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the audit_domain_premium rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for audit_domain_premium. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
audit_domain_premium is provided by the AEO Audit MCP server (https://aeo-mcp-server.amdal-dev.workers.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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