Most-Cited Pages in Google AI Answers for a Keyword (US English, 1 or 100 Pages)

omnial/google-ai-answers-top-cited-pages-us-english

Given a keyword, returns the pages Google's AI answers (United States, English) cite as sources in answers that mention it: overall totals and the most cited domains first, then how many cited pages the index holds and 1 or 100 of them. Each has the page address, its mention count, estimated AI search volume, and the domains cited in the same answers with their counts.

activeper resultv1

Price

Up to $0.137 base + $0.00137 per result; you pay what the call used

The price shown is the price you pay. No monthly minimum. Top-ups start at $5.

Data source

DataForSEO

Data from the DataForSEO AI mentions index of answers from Google and ChatGPT.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/google-ai-answers-top-cited-pages-us-english" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/google-ai-answers-top-cited-pages-us-english" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/google-ai-answers-top-cited-pages-us-english", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/google-ai-answers-top-cited-pages-us-english", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Base price Charged once per request	$0.137
Per result Charged for every result returned	$0.00137

Updated: Oct 15, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "target",
    "location_code",
    "language_code",
    "platform",
    "limit"
  ],
  "properties": {
    "limit": {
      "enum": [
        1,
        100
      ],
      "type": "integer",
      "default": 100,
      "description": "The number of rows to return: 100 (the default) or 1."
    },
    "target": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "keyword",
          "search_scope"
        ],
        "properties": {
          "keyword": {
            "type": "string",
            "maxLength": 200,
            "minLength": 1,
            "description": "The keyword: a brand, name or domain to find in the answer text, in plain words."
          },
          "search_scope": {
            "enum": [
              [
                "answer"
              ]
            ],
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Where the keyword must appear; only [\"answer\"] (the answer text) is offered."
          }
        },
        "additionalProperties": false
      },
      "maxItems": 1,
      "minItems": 1,
      "description": "One target to look up: an object with the keyword (a brand, name or domain to find in the answer text) and search_scope fixed to answer."
    },
    "platform": {
      "enum": [
        "google"
      ],
      "type": "string",
      "description": "The AI platform whose answers are searched; only google (Google AI answers) is offered."
    },
    "language_code": {
      "enum": [
        "en"
      ],
      "type": "string",
      "description": "The language; only en (English) is offered."
    },
    "location_code": {
      "enum": [
        2840
      ],
      "type": "integer",
      "description": "The market; only 2840 (the United States) is offered."
    },
    "internal_list_limit": {
      "enum": [
        5
      ],
      "type": "integer",
      "default": 5,
      "description": "How many entries each inner list holds; only 5, the default, is offered."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "items": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "page": {
                  "type": "string",
                  "description": "The cited page's address."
                },
                "total": {
                  "type": "object",
                  "properties": {
                    "mentions": {
                      "type": "number",
                      "description": "How many times the answers mention it."
                    },
                    "ai_search_volume": {
                      "type": "number",
                      "description": "Estimated AI search volume of those answers."
                    }
                  },
                  "description": "Totals across all of them."
                },
                "sources_domain": {
                  "type": "array",
                  "items": {
                    "type": "object",
                    "properties": {
                      "key": {
                        "type": "string",
                        "description": "The domain."
                      },
                      "mentions": {
                        "type": "number",
                        "description": "How many times the answers mention it."
                      },
                      "ai_search_volume": {
                        "type": "number",
                        "description": "Estimated AI search volume of those answers."
                      }
                    }
                  },
                  "description": "The domains cited in the answers that cite this page."
                }
              }
            },
            "description": "The cited pages."
          },
          "items_count": {
            "type": "number",
            "description": "The number of entries in items."
          },
          "total_count": {
            "type": "number",
            "description": "How many cited pages the index holds for the keyword."
          },
          "aggregated_metrics": {
            "type": "object",
            "properties": {
              "total": {
                "type": "object",
                "properties": {
                  "mentions": {
                    "type": "number",
                    "description": "How many times the answers mention it."
                  },
                  "ai_search_volume": {
                    "type": "number",
                    "description": "Estimated AI search volume of those answers."
                  }
                },
                "description": "Totals across all of them."
              },
              "sources_domain": {
                "type": "array",
                "items": {
                  "type": "object",
                  "properties": {
                    "key": {
                      "type": "string",
                      "description": "The domain."
                    },
                    "mentions": {
                      "type": "number",
                      "description": "How many times the answers mention it."
                    },
                    "ai_search_volume": {
                      "type": "number",
                      "description": "Estimated AI search volume of those answers."
                    }
                  }
                },
                "description": "The most cited domains across all the answers."
              }
            },
            "description": "Figures across all the matching answers."
          }
        }
      },
      "description": "One result for the call."
    }
  },
  "description": "The call's result, wrapped as results."
}