# AI Overview Rank Tracker | Google AEO Citation Monitor (`andok/ai-overview-tracker`) Actor Check whether Google AI Overview cites your brand for target queries. Returns citations, domains, and brand presence. $0.05/query + $0.02 start. - **URL**: https://apify.com/andok/ai-overview-tracker.md - **Developed by:** [Andok](https://apify.com/andok) (community) - **Categories:** Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 query checkeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## AI Overview Rank Tracker Check whether Google AI Overview cites your brand for a list of queries. Returns citation domains, brand presence, and a short overview snippet. ### Input | Field | Type | Required | Description | |---|---|---|---| | queries | string[] | yes | Up to 50 search queries | | brand | string | yes | Brand domain or name (e.g. `asana.com`) | | country | string | no | Google `gl` (default `us`) | | language | string | no | Google `hl` (default `en`) | ### Output example ```json { "query": "best project management software", "ai_overview_present": true, "brand_cited": true, "citations": [{ "domain": "asana.com", "url": "https://asana.com", "position": 1 }], "snippet": "...", "checked_at": "2026-07-23T12:00:00.000Z" } ```` ### Cost - Actor start: **$0.02** - Per query: **$0.05** - Typical 10-query run: **~$0.52** ### Limitations - Google HTML markup and AI Overview UI change frequently; detection is heuristic. - SERP requests work best on Apify with proxy groups; local runs may be blocked. - Not a guarantee of Search Console / official AEO metrics. ### Reviews If this Actor helped, leave a short review on the Store page — it helps others find reliable AEO tools. # Actor input Schema ## `queries` (type: `array`): Search queries to check for Google AI Overview citations (max 50). ## `brand` (type: `string`): Your brand domain or name to detect in AI Overview citations (e.g. asana.com or Asana). ## `country` (type: `string`): Google gl country code (e.g. us, uk, de). ## `language` (type: `string`): Google hl language code (e.g. en, de). ## `timeoutSeconds` (type: `integer`): HTTP timeout in seconds for each Google SERP request. ## `concurrency` (type: `integer`): Number of queries to check in parallel. ## Actor input object example ```json { "queries": [ "best project management software", "best CRM for startups" ], "brand": "asana.com", "country": "us", "language": "en", "timeoutSeconds": 20, "concurrency": 3 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `resultsCsv` (type: `string`): No description ## `run` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "best project management software", "best CRM for startups" ], "brand": "asana.com" }; // Run the Actor and wait for it to finish const run = await client.actor("andok/ai-overview-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "queries": [ "best project management software", "best CRM for startups", ], "brand": "asana.com", } # Run the Actor and wait for it to finish run = client.actor("andok/ai-overview-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "queries": [ "best project management software", "best CRM for startups" ], "brand": "asana.com" }' | apify call andok/ai-overview-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=andok/ai-overview-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Overview Rank Tracker | Google AEO Citation Monitor", "description": "Check whether Google AI Overview cites your brand for target queries. Returns citations, domains, and brand presence. $0.05/query + $0.02 start.", "version": "1.0", "x-build-id": "8IcfmHdU0Q0AEhiH2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/andok~ai-overview-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-andok-ai-overview-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/andok~ai-overview-tracker/runs": { "post": { "operationId": "runs-sync-andok-ai-overview-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/andok~ai-overview-tracker/run-sync": { "post": { "operationId": "run-sync-andok-ai-overview-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "queries", "brand" ], "properties": { "queries": { "title": "Queries", "minItems": 1, "maxItems": 50, "type": "array", "description": "Search queries to check for Google AI Overview citations (max 50).", "items": { "type": "string" } }, "brand": { "title": "Brand domain", "type": "string", "description": "Your brand domain or name to detect in AI Overview citations (e.g. asana.com or Asana)." }, "country": { "title": "Country / gl", "type": "string", "description": "Google gl country code (e.g. us, uk, de).", "default": "us" }, "language": { "title": "Language / hl", "type": "string", "description": "Google hl language code (e.g. en, de).", "default": "en" }, "timeoutSeconds": { "title": "Timeout (seconds)", "minimum": 5, "maximum": 60, "type": "integer", "description": "HTTP timeout in seconds for each Google SERP request.", "default": 20 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of queries to check in parallel.", "default": 3 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```