# Google AI Overview Brand Tracker (`davidbenittah/google-ai-overview-brand-tracker`) Actor Track your brand's presence in Google AI Overviews for your key queries: mentions, source citations, competitors cited instead, and appeared/disappeared changes over time. - **URL**: https://apify.com/davidbenittah/google-ai-overview-brand-tracker.md - **Developed by:** [David](https://apify.com/davidbenittah) (community) - **Categories:** SEO tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## Google AI Overview Brand Tracker **Google AI Overview brand tracker**: check whether **your brand appears in the AI Overview** Google now shows above the classic results — for every query your buyers actually type — and track it over time. AI Overviews absorb a growing share of clicks; if the answer cites your competitor instead of you, you lose the customer before the first blue link. This Actor is the weekly GEO (Generative Engine Optimization) scoreboard for that battle. ### Features - **Per-query verdict**: AI Overview present or not, brand mentioned in the answer text, brand cited as a source — plus the answer excerpt. - **Competitor intelligence**: the exact domains cited in the AI Overview where you are not — your GEO hit list. - **Change tracking**: every run compares to the previous one and flags each query `appeared`, `disappeared`, `unchanged`, or `baseline` — schedule weekly and alert on `disappeared`. - **Subdomain-aware citation matching**: `blog.yourbrand.com` counts as you. - **Up to 100 queries per run**, any Google country domain and language. ### Use cases - **SEO/GEO teams**: weekly AI Overview share-of-voice report per market. - **Agencies**: sell AI-visibility monitoring per client with zero manual checking. - **Brands in competitive niches**: know the day your product disappears from "best X for Y" AI answers. - **Content teams**: the `competitorDomainsCited` list tells you exactly which pages Google's AI trusts — study them, then earn the citation. ### Input / Output Input: ```json { "brandName": "AcmeCRM", "brandDomains": ["acmecrm.com"], "queries": ["best crm for small business", "crm with flat pricing"], "countryCode": "us" } ```` Output — one dataset item per query: ```json { "query": "best crm for small business", "aiOverviewPresent": true, "brandVisible": true, "brandMentionedInText": true, "brandCitedAsSource": true, "aiOverviewExcerpt": "For small businesses, popular CRM choices include HubSpot, Pipedrive and AcmeCRM...", "competitorDomainsCited": ["g2.com"], "changeSinceLastRun": "unchanged", "checkedAt": "2026-07-06T09:00:00.000Z" } ``` A `SUMMARY` record reports totals: AI Overviews found, queries where the brand is visible, appeared/disappeared counts. ### Pricing Pay per event: a small fee per query checked. Under the hood the Actor runs the official Google Search Results Scraper (`apify/google-search-scraper`, billed to your account: ~$0.0045 per results page + ~$0.003 per AI Overview captured). Tracking 50 queries weekly costs roughly $0.38/week in scanning. ### FAQ **What counts as "brand visible"?** Either the brand name appears in the AI Overview's answer text, or one of your `brandDomains` (including subdomains) is cited as a source. Both are reported separately. **Why does a query show `aiOverviewPresent: false`?** Google does not show an AI Overview for every query, every region, every time. Track weekly — presence itself fluctuates, which is exactly what the change flags capture. **How do I get alerted on changes?** Schedule the Actor and plug the dataset into any Apify integration (Slack, email, webhook), filtering on `changeSinceLastRun` = `disappeared` or `appeared`. **Is this legal?** The Actor reads public Google search result pages via the official Apify Google Search scraper and collects no personal data. You are responsible for how you use the data. # Actor input Schema ## `brandName` (type: `string`): The brand to look for inside AI Overview answers and cited sources. ## `brandDomains` (type: `array`): Domains that belong to the brand (e.g. 'mybrand.com'). Used to detect citations precisely and to exclude your own domains from the competitor list. ## `queries` (type: `array`): The Google searches your buyers make (e.g. 'best web scraping tool'). Hard maximum: 100 queries per run. ## `countryCode` (type: `string`): 2-letter country code for the Google domain used (e.g. 'us', 'fr'). ## `searchLanguage` (type: `string`): Optional language restriction for results (e.g. 'en', 'fr'). ## `monitorId` (type: `string`): Optional. Advanced: keep separate histories for the same brand/query set, or reset one by changing the ID. ## Actor input object example ```json { "brandName": "Apify", "brandDomains": [ "apify.com" ], "queries": [ "best web scraping platform", "how to scrape a website without coding" ], "countryCode": "us" } ``` # 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 = { "brandName": "Apify", "brandDomains": [ "apify.com" ], "queries": [ "best web scraping platform", "how to scrape a website without coding" ] }; // Run the Actor and wait for it to finish const run = await client.actor("davidbenittah/google-ai-overview-brand-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 = { "brandName": "Apify", "brandDomains": ["apify.com"], "queries": [ "best web scraping platform", "how to scrape a website without coding", ], } # Run the Actor and wait for it to finish run = client.actor("davidbenittah/google-ai-overview-brand-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 '{ "brandName": "Apify", "brandDomains": [ "apify.com" ], "queries": [ "best web scraping platform", "how to scrape a website without coding" ] }' | apify call davidbenittah/google-ai-overview-brand-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=davidbenittah/google-ai-overview-brand-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google AI Overview Brand Tracker", "description": "Track your brand's presence in Google AI Overviews for your key queries: mentions, source citations, competitors cited instead, and appeared/disappeared changes over time.", "version": "1.0", "x-build-id": "21hDGAexiMEZvFFiO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/davidbenittah~google-ai-overview-brand-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-davidbenittah-google-ai-overview-brand-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/davidbenittah~google-ai-overview-brand-tracker/runs": { "post": { "operationId": "runs-sync-davidbenittah-google-ai-overview-brand-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/davidbenittah~google-ai-overview-brand-tracker/run-sync": { "post": { "operationId": "run-sync-davidbenittah-google-ai-overview-brand-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "brandName", "queries" ], "properties": { "brandName": { "title": "Brand name", "type": "string", "description": "The brand to look for inside AI Overview answers and cited sources." }, "brandDomains": { "title": "Brand domains", "type": "array", "description": "Domains that belong to the brand (e.g. 'mybrand.com'). Used to detect citations precisely and to exclude your own domains from the competitor list.", "items": { "type": "string" } }, "queries": { "title": "Queries to track", "type": "array", "description": "The Google searches your buyers make (e.g. 'best web scraping tool'). Hard maximum: 100 queries per run.", "items": { "type": "string" } }, "countryCode": { "title": "Country", "type": "string", "description": "2-letter country code for the Google domain used (e.g. 'us', 'fr').", "default": "us" }, "searchLanguage": { "title": "Search language", "type": "string", "description": "Optional language restriction for results (e.g. 'en', 'fr')." }, "monitorId": { "title": "Custom monitor ID", "type": "string", "description": "Optional. Advanced: keep separate histories for the same brand/query set, or reset one by changing the ID." } } }, "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 } } } } } } } } } } ```