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alice

Check AI visibility

check_ai_visibility
Read-only

Check whether AI names a website when buyers ask, and whether AI can read it. Starts a live check of one brand-name question and one buyer question on Google AI Overviews, ChatGPT and Claude (results fill in on the report link within about a minute), and returns a 0-100 AI readability score: which AI crawlers the site allows or blocks, whether content is server-rendered, structured-data coverage, and the highest-impact fixes. Use when someone asks whether ChatGPT, Claude or Google AI mention or cite their site, how their site appears to AI, whether AI can read or find it, or asks for an SEO or AI visibility audit of a URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesSite or page URL. Scheme optional; https:// is assumed.
fullNoInclude classic SEO, crawlability and analytics-tag sections. Default returns AI visibility only.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
gatedNo
scoreYes
checksYes
ai_checkNoThe live brand-name / buyer-question check across the AI engines. status "checking" means the engines are still answering; the report_url shows the settled result.
next_stepYes
report_urlNo
scanned_atNo
top_actionsYes
score_breakdownNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint, openWorldHint, and destructiveHint false. The description adds that it performs a live check with results in about a minute, and details what the score includes (crawler access, server rendering, structured data, fixes). This provides valuable behavioral context beyond the annotations without contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently packs the purpose, process, and output details. It is front-loaded with the core purpose and avoids unnecessary fluff, making it easy for an agent to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity and the presence of an output schema, the description covers what it does, how it works (live check, timing), and what it returns (score, factors). It provides sufficient context for an agent to decide when to use it, with no critical missing information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already fully documents both parameters (url and full). The description does not add extra parameter details, but this is not necessary given the high coverage. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks AI visibility and readability for a URL, with a specific verb and resource. It differentiates from the sibling by focusing on a single site, though it does not explicitly mention the comparison tool. The purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly lists scenarios where this tool should be used, such as when users ask about AI mentions, readability, or visibility audits. It provides clear context but does not mention when not to use it or alternative tools, which is a minor gap given the sibling tool exists.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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