aipush.analysis.visibility

Test whether AI assistants (ChatGPT, Perplexity, Gemini) know about and recommend a brand — returns per-model visibility scores (AIPush)

SERVERApibase SOURCEapibase-mcp-client

Low RISK CLASS

Category Read

Parameters 11 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-whiteknightonhorse-apibase/aipush.analysis.visibility.md

WHAT IT DOES

What aipush.analysis.visibility does on Apibase

AI agents call aipush.analysis.visibility to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`website_domain`	string	Yes	Domain to check AI visibility for (e.g. "example.com"). Tests whether AI assistants know about and recommend this brand.

Parameters from the server's own tool schema.

RISK

Why aipush.analysis.visibility is rated Low

Queries external AI visibility data; no side effects, no data modification, read-only retrieval.

From the tool's definition Test whether AI assistants know about and recommend a brand — returns visibility scores

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs aipush.analysis.visibility safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For aipush.analysis.visibility, this is the rule to start with:

aipush.analysis.visibility Allowed

aipush.analysis.visibility is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "aipush.analysis.visibility": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Apibase, apply this rule, and every aipush.analysis.visibility call is checked against it from then on.

FAQ

Questions about aipush.analysis.visibility

What does the aipush.analysis.visibility tool do? +

Test whether AI assistants (ChatGPT, Perplexity, Gemini) know about and recommend a brand — returns per-model visibility scores (AIPush). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.

What parameters does aipush.analysis.visibility accept? +

aipush.analysis.visibility accepts 1 parameter: website_domain. Required: website_domain. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on aipush.analysis.visibility? +

Register the Apibase MCP server in PolicyLayer and add a rule for aipush.analysis.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 Apibase. Nothing to install.

What risk level is aipush.analysis.visibility? +

aipush.analysis.visibility is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit aipush.analysis.visibility? +

Yes. Add a rate_limit block to the aipush.analysis.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.

How do I block aipush.analysis.visibility completely? +

Set action: deny in the PolicyLayer policy for aipush.analysis.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.

What MCP server provides aipush.analysis.visibility? +

aipush.analysis.visibility is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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