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

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

Given a keyword, returns the domains 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 domains the index holds and 1 or 100 of them. Each has 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-domains-us-english" })

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

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/google-ai-answers-top-cited-domains-us-english", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/google-ai-answers-top-cited-domains-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": {
                "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."
                },
                "domain": {
                  "type": "string",
                  "description": "The cited domain."
                },
                "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 domain."
                }
              }
            },
            "description": "The cited domains."
          },
          "items_count": {
            "type": "number",
            "description": "The number of entries in items."
          },
          "total_count": {
            "type": "number",
            "description": "How many cited domains 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."
}