# AI Search Visibility Tracker – Google AI Overviews (`vivek_sukhadiya/ai-search-visibility-scraper`) Actor Track where your brand appears in Google AI Overviews and search results for any questions, plus which competitors and source domains Google surfaces. Built for SEO agencies, GEO/AEO tracking, brand monitoring, and competitor research. Exports to JSON, CSV, Excel. - **URL**: https://apify.com/vivek\_sukhadiya/ai-search-visibility-scraper.md - **Developed by:** [Vivek Sukhadiya](https://apify.com/vivek_sukhadiya) (community) - **Categories:** AI, Developer tools, SEO tools - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## AI Search Visibility Scraper 🔎 **See where your brand shows up in Google AI Overviews and search results — and where your competitors beat you.** As buyers increasingly ask AI-style questions, ranking in **Google's AI Overview** and on page one decides who gets discovered. This Actor checks any list of questions and tells you, for each one: - ✅ Is **your brand** visible on the results page? - 🤖 Did an **AI Overview** appear for that query? - 🥊 Which **competitors** show up? - 🌐 Which **sources/domains** Google trusts (the pages AI Overviews pull from) - 📋 The full list of organic results with titles, URLs, and domains Perfect for **SEO agencies, GEO/AEO tracking, brand monitoring, and competitive research**. --- ### What you get For every query, one clean row: | Field | Meaning | |---|---| | `query` | The question checked | | `brand_visible_on_page` | Is your brand anywhere on the results page? | | `brand_organic_ranks` | Which organic positions mention your brand | | `ai_overview_detected` | Was an AI Overview shown for this query? | | `competitors_found` | Which of your competitors appear | | `top_domains` | The domains Google ranks (AI Overview sources) | | `organic_results` | Full list: rank, title, url, domain | Export to **JSON, CSV, Excel, or via API** — plug it straight into your reports or dashboards. --- ### Input ```json { "brand": "Notion", "queries": [ "best note taking app", "best app for team docs" ], "competitors": ["Evernote", "Obsidian"], "country": "us", "language": "en", "maxResults": 10 } ```` | Field | Required | Description | |---|---|---| | `brand` | ✅ | The brand / product / person to track | | `queries` | ✅ | The questions or keywords to check | | `competitors` | — | Competitor names to also look for | | `country` | — | Two-letter Google country code (e.g. `us`, `gb`, `in`) | | `language` | — | Two-letter language code (e.g. `en`, `hi`) | | `maxResults` | — | Organic results to capture per query (1–30) | *** ### Example output (1 query) ```json { "query": "best note taking app", "brand": "Notion", "brand_visible_on_page": true, "ai_overview_detected": true, "competitors_found": ["Evernote", "Obsidian"], "top_domains": ["reddit.com", "zapier.com", "evernote.com"], "organic_results": [ { "rank": 1, "title": "Best Note-Taking App...", "url": "https://reddit.com/...", "domain": "reddit.com" } ] } ``` *** ### Use cases - **AI search / GEO tracking** — monitor your visibility as Google AI Overviews reshape search - **Competitor monitoring** — see which rivals own the questions that matter to you - **SEO reporting** — add an "AI visibility" section to client reports - **Content gaps** — find the questions where you're invisible and your competitors aren't *** ### How it works Uses Apify's official **Google SERP proxy** to read public Google results reliably — no logins, no private data, fully compliant with Apify's platform policies. You only pay for what you run. # Actor input Schema ## `brand` (type: `string`): The brand, product, company, or person you want to check for. Matching is case-insensitive. ## `queries` (type: `array`): The AI-style questions or keywords to check (one per line). Example: 'best note taking app', 'notion alternatives'. ## `competitors` (type: `array`): Competitor brand names to also look for in the results. ## `country` (type: `string`): Two-letter Google country code (e.g. us, gb, in). ## `language` (type: `string`): Two-letter language code (e.g. en, es, hi). ## `maxResults` (type: `integer`): How many organic result links to record per query. ## Actor input object example ```json { "brand": "Notion", "queries": [ "best note taking app", "best app for team docs" ], "competitors": [ "Evernote", "Obsidian" ], "country": "us", "language": "en", "maxResults": 10 } ``` # Actor output Schema ## `results` (type: `string`): The dataset with one record per query checked. # 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 = { "brand": "Notion", "queries": [ "best note taking app", "best app for team docs" ], "competitors": [ "Evernote", "Obsidian" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vivek_sukhadiya/ai-search-visibility-scraper").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 = { "brand": "Notion", "queries": [ "best note taking app", "best app for team docs", ], "competitors": [ "Evernote", "Obsidian", ], } # Run the Actor and wait for it to finish run = client.actor("vivek_sukhadiya/ai-search-visibility-scraper").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 '{ "brand": "Notion", "queries": [ "best note taking app", "best app for team docs" ], "competitors": [ "Evernote", "Obsidian" ] }' | apify call vivek_sukhadiya/ai-search-visibility-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vivek_sukhadiya/ai-search-visibility-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Search Visibility Tracker – Google AI Overviews", "description": "Track where your brand appears in Google AI Overviews and search results for any questions, plus which competitors and source domains Google surfaces. Built for SEO agencies, GEO/AEO tracking, brand monitoring, and competitor research. Exports to JSON, CSV, Excel.", "version": "0.1", "x-build-id": "hL1BDHcu3b3cSDfCp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vivek_sukhadiya~ai-search-visibility-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vivek_sukhadiya-ai-search-visibility-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vivek_sukhadiya~ai-search-visibility-scraper/runs": { "post": { "operationId": "runs-sync-vivek_sukhadiya-ai-search-visibility-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vivek_sukhadiya~ai-search-visibility-scraper/run-sync": { "post": { "operationId": "run-sync-vivek_sukhadiya-ai-search-visibility-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "brand", "queries" ], "properties": { "brand": { "title": "Your brand / name to track", "type": "string", "description": "The brand, product, company, or person you want to check for. Matching is case-insensitive." }, "queries": { "title": "Search queries / questions", "type": "array", "description": "The AI-style questions or keywords to check (one per line). Example: 'best note taking app', 'notion alternatives'.", "items": { "type": "string" } }, "competitors": { "title": "Competitors to track (optional)", "type": "array", "description": "Competitor brand names to also look for in the results.", "items": { "type": "string" } }, "country": { "title": "Country code", "type": "string", "description": "Two-letter Google country code (e.g. us, gb, in).", "default": "us" }, "language": { "title": "Language code", "type": "string", "description": "Two-letter language code (e.g. en, es, hi).", "default": "en" }, "maxResults": { "title": "Organic results to capture per query", "minimum": 1, "maximum": 30, "type": "integer", "description": "How many organic result links to record per query.", "default": 10 } } }, "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 } } } } } } } } } } ```