audit_brand_visibility
Audit whether Freedom OS appears in AI-generated search results. Sends a search query to external LLMs (Claude, Grok, Gemini, Perplexity) and checks each response for brand mentions. This is a competitive SEO/GEO auditing tool — like a mystery shopper for AI search engines. It does NOT answer que...
This record as markdown: /tools/com-getfreedomos-freedom-mcp/audit-brand-visibility.md
What audit_brand_visibility does on Freedom Mcp
AI agents invoke audit_brand_visibility to trigger actions in Freedom Mcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Yes | A search-style query to test (e.g., "What is the best AI operating system for solopreneurs?") |
companyId | string | Yes | FreedomOS company id to act within (you must be a member). Required for company-scoped tools. |
providers | array | Yes | Which AI search engines to audit. Options: anthropic (Claude), xai (Grok), google (Gemini), perplexity (Sonar Pro with live search) |
max_tokens | number | — | Maximum response length per provider (default: 1000) |
temperature | number | — | Response variability 0-1 (default: 0.7) |
Parameters from the server's own tool schema.
Why audit_brand_visibility is rated High
Triggers external API calls to multiple LLMs, executing outbound operations with side effects.
From the tool's definition Sends a search query to external LLMs, checks each response
Attacks that exploit this kind of access
The rule that runs audit_brand_visibility safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Freedom Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For audit_brand_visibility, this is the rule to start with:
audit_brand_visibility stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Freedom Mcp, apply this rule, and every audit_brand_visibility call is checked against it from then on.
Questions about audit_brand_visibility
Audit whether Freedom OS appears in AI-generated search results. Sends a search query to external LLMs (Claude, Grok, Gemini, Perplexity) and checks each response for brand mentions. This is a competitive SEO/GEO auditing tool — like a mystery shopper for AI search engines. It does NOT answer questions or delegate work. It is categorised as a Execute tool in the Freedom Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
audit_brand_visibility accepts 5 parameters: prompt, companyId, providers, max_tokens, temperature. Required: prompt, companyId, providers. The full parameter table on this page comes from the server's own tool schema.
Register the Freedom MCP server in PolicyLayer and add a rule for audit_brand_visibility: 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 Freedom Mcp. Nothing to install.
audit_brand_visibility is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the audit_brand_visibility 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_brand_visibility. 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_brand_visibility is provided by the Freedom MCP server (https://twuluxmoognlwtmaoqgo.supabase.co/functions/v1/freedom-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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