# AI Overview Rank Tracker | Google AEO Citation Monitor (`eesti/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/eesti/ai-overview-tracker.md - **Developed by:** [ando](https://apify.com/eesti) (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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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("eesti/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("eesti/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 eesti/ai-overview-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=eesti/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 + $0.02 start.", "version": "1.0", "x-build-id": "dlRmqwmpRttJg4Mit" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/eesti~ai-overview-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-eesti-ai-overview-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/eesti~ai-overview-tracker/runs": { "post": { "operationId": "runs-sync-eesti-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/eesti~ai-overview-tracker/run-sync": { "post": { "operationId": "run-sync-eesti-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 } } } } } } } } } } ```