# AI Search Volume Explorer - Keyword Demand Across AI Search (`santhej/ai-search-volume-explorer`) Actor Discover how often keywords are actually searched inside AI assistants like ChatGPT. Get AI search volume and 12-month trend for any keyword — the GEO/AEO metric traditional SEO tools can't show you. Clean JSON/CSV. Future-proof your content. No API keys. - **URL**: https://apify.com/santhej/ai-search-volume-explorer.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** AI, SEO tools, MCP servers - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event 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 ## AI Search Volume Explorer — Keyword Demand Inside ChatGPT & AI Search **SEO tools tell you what people Google. This tells you what they ask AI. Measure real AI search volume for any keyword — the GEO/AEO metric that traditional keyword tools simply don't have.** As search shifts from Google to ChatGPT, Perplexity, and AI assistants, the keywords that matter are changing. This actor reveals how often a keyword is actually searched inside AI — so you can optimize content for the answer engines, not just the search engines. --- ### What you get per keyword - 🤖 **AI search volume** — how often the keyword is searched inside AI assistants. - 🔍 **Google search volume, CPC & competition** — classic demand, side by side with AI demand. - ⚖️ **AI-vs-Google ratio** — instantly spot terms that are hot in AI but quiet on Google (the GEO opportunities). - 🎯 **Search intent** (optional) — informational / navigational / commercial / transactional. - 🌱 **Keyword expansion** (optional) — turn seeds into hundreds of related keywords, then enrich them all. - 📈 **12-month trend** — whether AI demand for the term is rising or fading. - 🌍 **By country** — localize demand to your market. - 🧮 **Bulk** — up to 1,000 keywords per run, sorted by AI volume. ### Why this matters now Generative engines are eating classic search. Brands that optimize for AI answers (GEO/AEO) win the next decade of traffic. But you can't optimize what you can't measure — and Google Keyword Planner has no idea what people ask ChatGPT. This is that missing data. ### Perfect for - **GEO / AEO strategy** — prioritize keywords with real AI demand. - **Content planning** — write the questions people actually ask AI. - **Competitive edge** — spot rising AI queries before competitors do. - **Marketing reports** — show clients the AI-search opportunity, with numbers. - **AI agents** — feed AI-demand data into automated content pipelines and MCP tools. ### How to use it 1. Enter your **keywords** (one per line). 2. Pick a **country** + **language**. 3. Run it — export JSON/CSV or pull via the API. #### Example input ```json { "keywords": ["best crm", "email marketing software"], "locationCode": "2840", "includeGoogleVolume": true, "includeSearchIntent": true } ```` #### Example output (one row per keyword) ```json { "keyword": "best crm", "ai_search_volume": 4028, "google_search_volume": 18100, "ai_vs_google": 0.2226, "cpc": 14.32, "competition_level": "HIGH", "search_intent": "commercial", "trend_3mo_pct": -20.6 } ``` ### Pricing A small per-run base fee plus a tiny charge per keyword — no subscription. Batching keywords keeps your cost-per-keyword extremely low. ### FAQ **What is AI search volume?** An estimate of how often a keyword is searched inside AI assistants — the demand signal for AI/answer-engine optimization. **How is this different from Google search volume?** Google volume measures classic search; this measures AI-assistant search, which is a different and fast-growing channel. This actor gives you **both** in one row so you can compare them directly. **Which countries?** 190+ countries and major languages. **Good for AI agents?** Yes — clean JSON, ideal for MCP servers, n8n, Make, and LLM agents. *** *Tags: ai search volume, GEO, AEO, generative engine optimization, answer engine optimization, chatgpt seo, ai keyword research, ai search, llm seo, keyword demand.* # Actor input Schema ## `keywords` (type: `array`): Keywords to measure AI search demand for. One per line. Up to 1,000 per run. ## `locationCode` (type: `string`): Target country. Default United States (2840). UK 2826, Canada 2124, Australia 2036, India 2356, Germany 2276. ## `languageCode` (type: `string`): Language code (e.g. en, es, de, fr). ## `includeMonthly` (type: `boolean`): Add the full monthly AI-search-volume history for each keyword. ## `includeGoogleVolume` (type: `boolean`): Also fetch classic Google search volume, CPC and competition for each keyword and merge it in — so you can compare AI demand vs Google demand side by side. ## `includeSearchIntent` (type: `boolean`): Classify each keyword's search intent (informational, navigational, commercial, transactional). ## `expandKeywords` (type: `boolean`): Treat your keywords as seeds: generate related keyword suggestions first, then enrich them all with AI and Google demand. ## Actor input object example ```json { "keywords": [ "best crm", "email marketing software", "project management tool" ], "locationCode": "2840", "languageCode": "en", "includeMonthly": false, "includeGoogleVolume": true, "includeSearchIntent": false, "expandKeywords": false } ``` # Actor output Schema ## `dataset` (type: `string`): AI search demand per keyword. ## `summary` (type: `string`): Keywords and counts. # 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 = { "keywords": [ "best crm", "email marketing software", "project management tool" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/ai-search-volume-explorer").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 = { "keywords": [ "best crm", "email marketing software", "project management tool", ] } # Run the Actor and wait for it to finish run = client.actor("santhej/ai-search-volume-explorer").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 '{ "keywords": [ "best crm", "email marketing software", "project management tool" ] }' | apify call santhej/ai-search-volume-explorer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/ai-search-volume-explorer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Search Volume Explorer - Keyword Demand Across AI Search", "description": "Discover how often keywords are actually searched inside AI assistants like ChatGPT. Get AI search volume and 12-month trend for any keyword — the GEO/AEO metric traditional SEO tools can't show you. Clean JSON/CSV. Future-proof your content. No API keys.", "version": "0.0", "x-build-id": "JNMJPPfxaZhsl7yQH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~ai-search-volume-explorer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-ai-search-volume-explorer", "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/santhej~ai-search-volume-explorer/runs": { "post": { "operationId": "runs-sync-santhej-ai-search-volume-explorer", "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/santhej~ai-search-volume-explorer/run-sync": { "post": { "operationId": "run-sync-santhej-ai-search-volume-explorer", "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", "properties": { "keywords": { "title": "Keywords", "minItems": 1, "maxItems": 1000, "type": "array", "description": "Keywords to measure AI search demand for. One per line. Up to 1,000 per run.", "items": { "type": "string" } }, "locationCode": { "title": "Country", "enum": [ "2840", "2826", "2124", "2036", "2356", "2276", "2250", "2724", "2380", "2392" ], "type": "string", "description": "Target country. Default United States (2840). UK 2826, Canada 2124, Australia 2036, India 2356, Germany 2276.", "default": "2840" }, "languageCode": { "title": "Language", "type": "string", "description": "Language code (e.g. en, es, de, fr).", "default": "en" }, "includeMonthly": { "title": "Include 12-month history", "type": "boolean", "description": "Add the full monthly AI-search-volume history for each keyword.", "default": false }, "includeGoogleVolume": { "title": "Add Google search volume, CPC & competition", "type": "boolean", "description": "Also fetch classic Google search volume, CPC and competition for each keyword and merge it in — so you can compare AI demand vs Google demand side by side.", "default": true }, "includeSearchIntent": { "title": "Add search intent", "type": "boolean", "description": "Classify each keyword's search intent (informational, navigational, commercial, transactional).", "default": false }, "expandKeywords": { "title": "Expand seeds into related keywords", "type": "boolean", "description": "Treat your keywords as seeds: generate related keyword suggestions first, then enrich them all with AI and Google demand.", "default": false } } }, "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 } } } } } } } } } } ```