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SpikeyCoder

Website Auditor MCP

by SpikeyCoder

Check AI visibility

get_ai_visibility
Read-only

Check how often AI assistants like ChatGPT, Perplexity, Claude, and Gemini mention your website. Returns a 0-100 visibility score with per-engine breakdown and competitor comparisons.

Instructions

Check how visible a website is to AI assistants right now. Use this whenever someone asks "does ChatGPT/Perplexity/Claude/Gemini recommend this business," "is my site showing up in AI answers," "what's my AI visibility / GEO score," or wants a quick read on whether an AI assistant would surface a given domain. Returns an overall AI-visibility score (0–100), a per-engine breakdown (ChatGPT, Perplexity, Claude, Gemini), and the top competitor appearing in place of the site. When the audit recorded citations, sources lists the documents the assistants actually read, ranked by cross-engine agreement, each marked yours, competitor or third_party — treat competitor rows as context, not as placement targets; sources: null means the recorded answers cited nothing attributable, and an absent key means citations were not recorded for this audit. The result also includes trend data: 7- and 30-day score movement computed from the domain's stored snapshot history, for the question this audit asked, ending at the snapshot this audit stored; when it stored no measured snapshot, trend is null and trend_note says why. If name_warning is present, the business name behind the score could not be verified — relay that caveat rather than presenting the score as settled fact, and offer to re-run with an explicit business name. Requires a Website Auditor subscription ($10/month; eligible new customers get a 7-day free trial — payment method required, no charge until the trial ends) — if the user doesn't have one, call get_sample_audit first to show them the exact output format, free and with no API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesThe website domain, e.g. "example.com".
business_nameNoOptional. The business's real name, if you know it. Leave it out and the audit detects the name from the site and flags it when unverified — a guessed name is scored as if confirmed, so supply one only when it is actually known.
business_locationNoOptional. The city the business trades in, e.g. "Hilo, HI". Leave it out and the audit detects it; when nothing is detectable the questions widen to the country or drop the place entirely, which is right for a national or global business and wrong for a local one.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
scoreYesOverall AI-visibility score, 0–100.
trendYesPro only; null when unavailable — trend_note says why.
sourcesNo
summaryYes
by_engineYesPer-engine AI-visibility score, 0–100. NULL means the engine was not scored — see engine_status for which of the two reasons. A null is NOT a zero: zero means the engine answered and never named the business.
trend_noteNoPresent exactly when trend is null: the reason.
name_sourceNo"detected" | "user_supplied" | "domain_fallback".
name_warningNoSet ONLY when the business name behind the score could not be verified. The score is computed from queries built around that name, so relay this caveat rather than presenting the score as settled.
coverage_noteNoPresent exactly when an engine was asked and did not answer. Relay it: the score covers fewer engines than the four this tool can query.
engine_statusYesWhy each engine's score is what it is. 'scored' — the engine answered and the number is a measurement. 'unanswered' — it was asked and returned nothing, so there is no score; do not report it as 0. 'not_asked' — it was not part of this run at all.
name_verifiedNo
top_competitorYesThe competitor appearing in place of the site, if any.
appears_by_engineYesWhether the site appeared at all on each engine. Distinct from the scores: an engine can have appearances yet a low score, or the reverse. NULL when the engine was not scored — false would assert it did not name the business, which is a claim an unmeasured engine cannot support.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.24
    • changedOutput schema / properties / trend / anyOf
      Previous value: -[
      -  {
      -    "additionalProperties": true,
      -    "properties": {
      -      "change_30d": {
      -        "anyOf": [
      -          {
      -            "$ref": "#/properties/trend/anyOf/0/properties/change_7d/anyOf/0"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ]
      -      },
      -      "change_7d": {
      -        "anyOf": [
      -          {
      -            "additionalProperties": true,
      -            "properties": {
      -              "engine_changes": {
      -                "items": {
      -                  "additionalProperties": true,
      -                  "properties": {
      -                    "delta": {
      -                      "type": "number"
      -                    },
      -                    "engine": {
      -                      "type": "string"
      -                    },
      -                    "from": {
      -                      "type": "number"
      -                    },
      -                    "to": {
      -                      "type": "number"
      -                    }
      -                  },
      -                  "required": [
      -                    "engine",
      -                    "from",
      -                    "to",
      -                    "delta"
      -                  ],
      -                  "type": "object"
      -                },
      -                "type": "array"
      -              },
      -              "from_score": {
      -                "type": "number"
      -              },
      -              "score_delta": {
      -                "type": "number"
      -              },
      -              "snapshots": {
      -                "description": "Snapshots that fell inside this window.",
      -                "type": "number"
      -              },
      -              "to_score": {
      -                "type": "number"
      -              },
      -              "window_days": {
      -                "type": "number"
      -              }
      -            },
      -            "required": [
      -              "window_days",
      -              "from_score",
      -              "to_score",
      -              "score_delta",
      -              "engine_changes",
      -              "snapshots"
      -            ],
      -            "type": "object"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ],
      -        "description": "Null when fewer than two snapshots fall in the window."
      -      },
      -      "includes_simulated": {
      -        "description": "True if any analyzed snapshot was estimated rather than measured.",
      -        "type": "boolean"
      -      },
      -      "latest_captured_at": {
      -        "type": "string"
      -      },
      -      "snapshots_analyzed": {
      -        "type": "number"
      -      }
      -    },
      -    "required": [
      -      "change_7d",
      -      "change_30d",
      -      "snapshots_analyzed",
      -      "latest_captured_at",
      -      "includes_simulated"
      -    ],
      -    "type": "object"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]New value: +[
      +  {
      +    "additionalProperties": true,
      +    "properties": {
      +      "change_30d": {
      +        "anyOf": [
      +          {
      +            "$ref": "#/properties/trend/anyOf/0/properties/change_7d/anyOf/0"
      +          },
      +          {
      +            "type": "null"
      +          }
      +        ]
      +      },
      +      "change_7d": {
      +        "anyOf": [
      +          {
      +            "additionalProperties": true,
      +            "properties": {
      +              "engine_changes": {
      +                "items": {
      +                  "additionalProperties": true,
      +                  "properties": {
      +                    "delta": {
      +                      "type": "number"
      +                    },
      +                    "engine": {
      +                      "type": "string"
      +                    },
      +                    "from": {
      +                      "type": "number"
      +                    },
      +                    "to": {
      +                      "type": "number"
      +                    }
      +                  },
      +                  "required": [
      +                    "engine",
      +                    "from",
      +                    "to",
      +                    "delta"
      +                  ],
      +                  "type": "object"
      +                },
      +                "type": "array"
      +              },
      +              "from_captured_at": {
      +                "description": "When the snapshot this window compares against was captured.",
      +                "type": "string"
      +              },
      +              "from_score": {
      +                "type": "number"
      +              },
      +              "score_delta": {
      +                "type": "number"
      +              },
      +              "skipped_snapshots": {
      +                "description": "Snapshots in the window that were not compared: they asked a different question (another business name, market or queries), or do not record what they asked.",
      +                "type": "number"
      +              },
      +              "snapshots": {
      +                "description": "Snapshots that fell inside this window.",
      +                "type": "number"
      +              },
      +              "to_score": {
      +                "type": "number"
      +              },
      +              "window_days": {
      +                "type": "number"
      +              }
      +            },
      +            "required": [
      +              "window_days",
      +              "from_score",
      +              "to_score",
      +              "score_delta",
      +              "engine_changes",
      +              "snapshots"
      +            ],
      +            "type": "object"
      +          },
      +          {
      +            "type": "null"
      +          }
      +        ],
      +        "description": "Null when the window holds no earlier snapshot that asked the same question as the latest."
      +      },
      +      "includes_simulated": {
      +        "description": "Always false: simulated snapshots are left out of the trend. Kept for clients that read it.",
      +        "type": "boolean"
      +      },
      +      "latest_captured_at": {
      +        "type": "string"
      +      },
      +      "question_note": {
      +        "description": "Present when what the snapshots asked shaped the trend: no earlier snapshot asked the latest one's question, snapshots from the last 30 days were not compared, or the latest snapshot does not record what it asked. Relay it — a difference between scores that answered different questions is not a change in visibility.",
      +        "type": "string"
      +      },
      +      "snapshots_analyzed": {
      +        "type": "number"
      +      }
      +    },
      +    "required": [
      +      "change_7d",
      +      "change_30d",
      +      "snapshots_analyzed",
      +      "latest_captured_at",
      +      "includes_simulated"
      +    ],
      +    "type": "object"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
  2. Changed1 schema field changedv1.0.23
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": false,
      +  "properties": {
      +    "appears_by_engine": {
      +      "additionalProperties": true,
      +      "description": "Whether the site appeared at all on each engine. Distinct from the scores: an engine can have appearances yet a low score, or the reverse. NULL when the engine was not scored — false would assert it did not name the business, which is a claim an unmeasured engine cannot support.",
      +      "properties": {
      +        "chatgpt": {
      +          "type": [
      +            "boolean",
      +            "null"
      +          ]
      +        },
      +        "claude": {
      +          "type": [
      +            "boolean",
      +            "null"
      +          ]
      +        },
      +        "gemini": {
      +          "type": [
      +            "boolean",
      +            "null"
      +          ]
      +        },
      +        "perplexity": {
      +          "type": [
      +            "boolean",
      +            "null"
      +          ]
      +        }
      +      },
      +      "required": [
      +        "chatgpt",
      +        "perplexity",
      +        "claude",
      +        "gemini"
      +      ],
      +      "type": "object"
      +    },
      +    "by_engine": {
      +      "additionalProperties": true,
      +      "description": "Per-engine AI-visibility score, 0–100. NULL means the engine was not scored — see engine_status for which of the two reasons. A null is NOT a zero: zero means the engine answered and never named the business.",
      +      "properties": {
      +        "chatgpt": {
      +          "type": [
      +            "number",
      +            "null"
      +          ]
      +        },
      +        "claude": {
      +          "type": [
      +            "number",
      +            "null"
      +          ]
      +        },
      +        "gemini": {
      +          "type": [
      +            "number",
      +            "null"
      +          ]
      +        },
      +        "perplexity": {
      +          "type": [
      +            "number",
      +            "null"
      +          ]
      +        }
      +      },
      +      "required": [
      +        "chatgpt",
      +        "perplexity",
      +        "claude",
      +        "gemini"
      +      ],
      +      "type": "object"
      +    },
      +    "coverage_note": {
      +      "description": "Present exactly when an engine was asked and did not answer. Relay it: the score covers fewer engines than the four this tool can query.",
      +      "type": "string"
      +    },
      +    "engine_status": {
      +      "additionalProperties": true,
      +      "description": "Why each engine's score is what it is. 'scored' — the engine answered and the number is a measurement. 'unanswered' — it was asked and returned nothing, so there is no score; do not report it as 0. 'not_asked' — it was not part of this run at all.",
      +      "properties": {
      +        "chatgpt": {
      +          "enum": [
      +            "scored",
      +            "unanswered",
      +            "not_asked"
      +          ],
      +          "type": "string"
      +        },
      +        "claude": {
      +          "enum": [
      +            "scored",
      +            "unanswered",
      +            "not_asked"
      +          ],
      +          "type": "string"
      +        },
      +        "gemini": {
      +          "enum": [
      +            "scored",
      +            "unanswered",
      +            "not_asked"
      +          ],
      +          "type": "string"
      +        },
      +        "perplexity": {
      +          "enum": [
      +            "scored",
      +            "unanswered",
      +            "not_asked"
      +          ],
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "chatgpt",
      +        "perplexity",
      +        "claude",
      +        "gemini"
      +      ],
      +      "type": "object"
      +    },
      +    "name_source": {
      +      "description": "\"detected\" | \"user_supplied\" | \"domain_fallback\".",
      +      "type": "string"
      +    },
      +    "name_verified": {
      +      "type": "boolean"
      +    },
      +    "name_warning": {
      +      "description": "Set ONLY when the business name behind the score could not be verified. The score is computed from queries built around that name, so relay this caveat rather than presenting the score as settled.",
      +      "type": "string"
      +    },
      +    "score": {
      +      "description": "Overall AI-visibility score, 0–100.",
      +      "type": "number"
      +    },
      +    "sources": {
      +      "anyOf": [
      +        {
      +          "items": {
      +            "additionalProperties": true,
      +            "properties": {
      +              "answers": {
      +                "description": "Answers citing this domain — not citation entries.",
      +                "type": "number"
      +              },
      +              "domain": {
      +                "type": "string"
      +              },
      +              "ownership": {
      +                "description": "\"yours\" | \"competitor\" | \"third_party\". Competitor rows are context, not targets.",
      +                "type": "string"
      +              },
      +              "platforms": {
      +                "items": {
      +                  "type": "string"
      +                },
      +                "type": "array"
      +              },
      +              "title": {
      +                "type": "string"
      +              },
      +              "url": {
      +                "type": [
      +                  "string",
      +                  "null"
      +                ]
      +              }
      +            },
      +            "required": [
      +              "domain",
      +              "answers",
      +              "platforms",
      +              "ownership",
      +              "url",
      +              "title"
      +            ],
      +            "type": "object"
      +          },
      +          "type": "array"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "summary": {
      +      "type": "string"
      +    },
      +    "top_competitor": {
      +      "description": "The competitor appearing in place of the site, if any.",
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "trend": {
      +      "anyOf": [
      +        {
      +          "additionalProperties": true,
      +          "properties": {
      +            "change_30d": {
      +              "anyOf": [
      +                {
      +                  "$ref": "#/properties/trend/anyOf/0/properties/change_7d/anyOf/0"
      +                },
      +                {
      +                  "type": "null"
      +                }
      +              ]
      +            },
      +            "change_7d": {
      +              "anyOf": [
      +                {
      +                  "additionalProperties": true,
      +                  "properties": {
      +                    "engine_changes": {
      +                      "items": {
      +                        "additionalProperties": true,
      +                        "properties": {
      +                          "delta": {
      +                            "type": "number"
      +                          },
      +                          "engine": {
      +                            "type": "string"
      +                          },
      +                          "from": {
      +                            "type": "number"
      +                          },
      +                          "to": {
      +                            "type": "number"
      +                          }
      +                        },
      +                        "required": [
      +                          "engine",
      +                          "from",
      +                          "to",
      +                          "delta"
      +                        ],
      +                        "type": "object"
      +                      },
      +                      "type": "array"
      +                    },
      +                    "from_score": {
      +                      "type": "number"
      +                    },
      +                    "score_delta": {
      +                      "type": "number"
      +                    },
      +                    "snapshots": {
      +                      "description": "Snapshots that fell inside this window.",
      +                      "type": "number"
      +                    },
      +                    "to_score": {
      +                      "type": "number"
      +                    },
      +                    "window_days": {
      +                      "type": "number"
      +                    }
      +                  },
      +                  "required": [
      +                    "window_days",
      +                    "from_score",
      +                    "to_score",
      +                    "score_delta",
      +                    "engine_changes",
      +                    "snapshots"
      +                  ],
      +                  "type": "object"
      +                },
      +                {
      +                  "type": "null"
      +                }
      +              ],
      +              "description": "Null when fewer than two snapshots fall in the window."
      +            },
      +            "includes_simulated": {
      +              "description": "True if any analyzed snapshot was estimated rather than measured.",
      +              "type": "boolean"
      +            },
      +            "latest_captured_at": {
      +              "type": "string"
      +            },
      +            "snapshots_analyzed": {
      +              "type": "number"
      +            }
      +          },
      +          "required": [
      +            "change_7d",
      +            "change_30d",
      +            "snapshots_analyzed",
      +            "latest_captured_at",
      +            "includes_simulated"
      +          ],
      +          "type": "object"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ],
      +      "description": "Pro only; null when unavailable — trend_note says why."
      +    },
      +    "trend_note": {
      +      "description": "Present exactly when trend is null: the reason.",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "score",
      +    "by_engine",
      +    "engine_status",
      +    "appears_by_engine",
      +    "top_competitor",
      +    "summary",
      +    "trend"
      +  ],
      +  "type": "object"
      +}
  3. Changed2 schema fields changedv1.0.15
    • addedInput schema / properties / business_location
      Added value: +{
      +  "description": "Optional. The city the business trades in, e.g. \"Hilo, HI\". Leave it out and the audit detects it; when nothing is detectable the questions widen to the country or drop the place entirely, which is right for a national or global business and wrong for a local one.",
      +  "type": "string"
      +}
    • addedInput schema / properties / business_name
      Added value: +{
      +  "description": "Optional. The business's real name, if you know it. Leave it out and the audit detects the name from the site and flags it when unverified — a guessed name is scored as if confirmed, so supply one only when it is actually known.",
      +  "type": "string"
      +}
  4. First observedv1.0.6

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already mark readOnly/openWorld/non-destructive; the description adds substantial behavioral context: the subscription/payment gate, null-vs-absent semantics for sources, null trend with trend_note explanation, and the name_warning caveat that must be relayed. No contradiction with annotations.

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

Conciseness3/5

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

The description is front-loaded and logically ordered, but it is long and repeats output details that an output schema would already document. Some subscription marketing detail (payment method, trial terms) could be trimmed without losing invocation guidance.

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

Completeness5/5

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

Despite its length, it covers all operational context an agent needs: when to call it, the subscription prerequisite and fallback, per-engine output, sources/trend null behavior, and the name_warning caveat. With an output schema present, nothing essential is missing.

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 carries parameter semantics. The main description mostly restates the business_name verification caveat and does not add new parameter meaning; it links name_warning to the business_name parameter but that link is already implied by the schema.

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

Purpose5/5

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

The opening sentence states a precise verb, resource, and time scope: 'Check how visible a website is to AI assistants right now.' It then names the exact outputs (0–100 score, ChatGPT/Perplexity/Claude/Gemini breakdown, top competitor), making the tool's role unambiguous and distinct from report/monitoring siblings.

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?

Gives explicit trigger phrases ('does ChatGPT recommend this business', 'what's my AI visibility') and an explicit alternative: call get_sample_audit when no subscription exists. It does not, however, contrast with other audit/monitoring siblings (e.g., get_monitoring_status, get_report), so the when-not-to-use guidance is incomplete.

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