# AI Search Volume - GEO Keyword Research Tool & API & MCP (`doesaiknow/ai-search-volume-geo-keyword-research-tool-api`) Actor AI search volume & GEO keyword research: bulk AI-search demand estimates + 12-month trends for any keyword list, in 200+ countries & languages. A pay-per-use AEO / GEO keyword tool - no subscription, no prompt limits. Cheap Profound / Otterly / Peec alternative. $0.99/1k, free tier. MCP Ready - **URL**: https://apify.com/doesaiknow/ai-search-volume-geo-keyword-research-tool-api.md - **Developed by:** [Dawid S](https://apify.com/doesaiknow) (community) - **Categories:** AI, SEO tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / ai search volume (up to 1000 keywords) This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 — GEO / AEO Keyword Research Tool & API Bulk **AI search volume** for any keyword list — an estimated demand score plus a **12-month trend**, built to tell you **which topics and keywords to target for AI search (GEO / AEO)**. Works across **200+ countries and languages**. Pay-per-use, **no subscription and no prompt limits** — a cheap alternative to Profound / Otterly / Peec — **$0.99 per 1,000 keywords**, free tier, no monthly floor. > AI search volume is a **directional estimate** of demand in AI-driven search, derived from > large-scale search-signal aggregation — not a literal count of AI chats. Use it to **prioritize**, > not as an absolute number. Strongest on brand, category, head and informational terms. ### What you get | Feature | Output | |---|---| | **Bulk AI search volume** | Estimated AI-search demand score per keyword — up to **1,000 keywords / run** | | **12-month trend** | Monthly demand history per keyword (computed on completed months) → rising / flat / falling | | **200+ locations & languages** | Native-language volume for US, UK, DE, FR, ES, BR, PL and more — one market per run | ### Quick start ```json { "keywords": ["how to save money", "index funds", "best budgeting apps"], "location": "United States", "language": "English" } ```` ### Output example Real output (US / English, personal-finance niche). `ai_search_volume` = directional demand score; `trend_6mo` is computed on completed months (the current partial month is excluded): ```json [ { "keyword": "how to save money", "ai_search_volume": 18157, "trend_6mo": "-22%", "location": "United States" }, { "keyword": "high yield savings account", "ai_search_volume": 16696, "trend_6mo": "+13%", "location": "United States" }, { "keyword": "index funds", "ai_search_volume": 15455, "trend_6mo": "0%", "location": "United States" }, { "keyword": "what is a roth ira", "ai_search_volume": 10012, "trend_6mo": "0%", "location": "United States" } ] ``` Each keyword also returns the full `ai_monthly_searches` array (12 months of `{year, month, ai_search_volume}`) so you can chart the trend yourself. ### Use cases - **GEO / AEO content strategy** — rank your topic backlog by AI-search demand before writing. - **Prioritize a keyword list** — feed the keywords you already care about, get a demand order. - **Spot rising & fading topics** — the 12-month trend flags what's gaining or losing AI attention. - **Multi-market research** — the same list across countries/languages for international sites. ### Pricing **Pay per event, no subscription.** You pay only for successful runs — failed or empty scans are never billed. No monthly minimum, no prompt caps, no seat fees. | Event | Fires | Price (FREE / BRONZE) | |---|---|---| | `actor-start` | once per run (input validation + cache check) | $0.05 | | `search-volume` | once, after a successful volume call (up to 1,000 keywords) | **$0.99 / 1k** | #### Volume discounts by Apify plan tier | Event | FREE | BRONZE | SILVER | GOLD | |---|---|---|---|---| | `search-volume` (per 1k) | $0.99 | $0.95 | $0.85 | **$0.75** | > `actor-start` stays flat across tiers. PLATINUM / DIAMOND (enterprise) pricing on request. A single run of 1,000 keywords costs **$1.04** on FREE/BRONZE — versus $29–€89/mo prompt-limited subscriptions elsewhere (Otterly $29/10 prompts, Peec €89/50 prompts). ### How it compares | | This actor | Profound | Otterly | Peec | |---|---|---|---|---| | Entry price | **pay-per-use, $0.99/1k** | enterprise | $29/mo (10 prompts) | €89/mo (50 prompts) | | Prompt / seat limits | **none — bulk keyword lists** | seat-based | 10 prompts | 50 prompts | | Public keyword-volume API | **✅** | ❌ | ❌ | ❌ | | 200+ countries & languages | **✅** | partial | partial | ✅ | | No subscription | **✅** | ❌ | ❌ | ❌ | Built for GEO/SEO agencies, content teams and developers who want AI-search demand in bulk without a per-seat platform. ### What it does NOT do (honest scope) - It's an **estimate for prioritization**, not exact AI-usage counts. Use the **relative order within a niche** — that's where it's reliable. - **Weaker on head-to-head "X vs Y" comparison phrases and hyper-specific long-tail** — these read directional/low. For a product-comparison strategy, treat those numbers as a floor, not gospel. - **Small markets have thinner data** than large ones (US/DE/FR/BR are richest). - The **trend is directional** (computed on completed months) — read it as up/flat/down, not a precise %. - No brand-mention monitoring, no site audit, no live chat logs (different tools). ### FAQ **Is this real ChatGPT / Gemini conversation data?** No. It's a directional **estimate** of demand in AI-driven search, derived from large-scale search-signal aggregation. Treat it as a prioritization signal, not a literal chat count. **Which countries and languages are supported?** 200+. Volume is returned in the market's native language — validated across US, UK, Germany, France, Spain, Brazil, Poland and more. One country/language per run. **How accurate is it?** Reliable for **relative prioritization** within a niche (which topics matter more), and for brand / category / informational terms. Comparison phrases and tiny long-tail are directional only. **Do I need a subscription?** No. Pay per use; failed or empty runs are never charged. **Can I run it from an AI agent?** Yes — it's a limited-permission, MCP-ready actor (no first-run approval step), callable from AI agents and IDEs via the Apify MCP server. ### Related actors Part of the DoesAiKnow keyword-research & GEO/SEO suite on Apify: - **[Keyword Metrics Pro — Google + Bing Volume, CPC & Trend](https://apify.com/doesaiknow/doesaiknow-keyword-metrics-apify)** — classic search volume to pair with AI demand. - **[AI Brand Visibility Tracker — ChatGPT, Perplexity, Gemini](https://apify.com/doesaiknow/ai-brand-visibility-tracker-chatgpt-perplexity-gemini)** — see if your brand is cited in AI answers. - **[Competitor Keyword Research — See Any Site's Ranked Keywords](https://apify.com/doesaiknow/doesaiknow-competitor-keywords-apify)** — the keywords a competitor domain ranks for. - **[AI Keyword Clustering Tool — Topical Clustering + Bulk SERP](https://apify.com/doesaiknow/ai-keyword-clustering-tool-topical-clustering-bulk-serp)** — group a keyword list into topic clusters. - **[Amazon Keyword Research Tool — Volume + Reverse ASIN](https://apify.com/doesaiknow/amazon-keyword-research-tool-volume-reverse-asin)** — product-search demand + reverse-ASIN. - **[Backlink Checker API — Referring Domains & Competitor Gap](https://apify.com/doesaiknow/backlink-checker-api-referring-domains-competitor-gap)** — referring domains + link-gap analysis. ### Disclaimer Provided as-is for research. AI search volumes are best-effort **estimates** for prioritization. Independent project — not affiliated with, endorsed by, or partnered with OpenAI, Google, Profound, Otterly, or Peec. ### SEO keyword cluster ai search volume, ai keyword research, ai keyword research tool, geo keyword research, generative engine optimization keywords, aeo keyword research, keyword research for chatgpt, ai keyword tool, llm keyword research, ai search demand, ai keyword volume, ai search volume api, multilingual keyword research, geo content strategy, answer engine optimization keywords, profound alternative, otterly alternative, peec alternative, pay per use keyword tool, bulk keyword volume api, mcp keyword research, mcp server, mcp actor, model context protocol, mcp seo tool, keyword research mcp, ai agent keyword tool, claude mcp keyword tool, chatgpt mcp seo, apify mcp server. # Actor input Schema ## `keywords` (type: `array`): Up to 1000 keywords (paid Apify plans). Each is normalized (lowercase + trimmed) and deduplicated before the upstream call (identical tasks are not refundable per upstream ToS). FREE PLAN: limited to 10 keywords per scan; the actor exits early with an upgrade prompt above the limit. AI search volume is a directional estimate — strongest on brand, category, head and informational terms; weaker on head-to-head 'X vs Y' comparisons and hyper-specific long-tail. ## `location` (type: `string`): Full location name, e.g. 'United States', 'United Kingdom', 'Germany', 'Poland', 'Brazil'. Volume is returned for this market. 200+ locations supported; one location per run. Default 'United States'. ## `language` (type: `string`): Full language name for the location, e.g. 'English', 'German', 'Polish', 'Portuguese'. Keywords should be written in this language for the target market. Default 'English'. ## `includeMonthly` (type: `boolean`): Include the full ai\_monthly\_searches array (12 months of {year, month, ai\_search\_volume}) in each row, so you can chart the trend yourself. Default true. Turn off for leaner rows. ## `bypassRunCache` (type: `boolean`): Skip the 24h KV Store run-cache and re-query the upstream API live. You will be charged the search-volume fee. Default false. ## Actor input object example ```json { "keywords": [ "how to save money", "index funds", "best budgeting apps" ], "location": "United States", "language": "English", "includeMonthly": true, "bypassRunCache": false } ``` # Actor output Schema ## `aiSearchVolume` (type: `string`): Default dataset link. See dataset\_schema.json for per-field documentation. # 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": [ "how to save money", "index funds", "best budgeting apps" ], "location": "United States", "language": "English" }; // Run the Actor and wait for it to finish const run = await client.actor("doesaiknow/ai-search-volume-geo-keyword-research-tool-api").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": [ "how to save money", "index funds", "best budgeting apps", ], "location": "United States", "language": "English", } # Run the Actor and wait for it to finish run = client.actor("doesaiknow/ai-search-volume-geo-keyword-research-tool-api").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": [ "how to save money", "index funds", "best budgeting apps" ], "location": "United States", "language": "English" }' | apify call doesaiknow/ai-search-volume-geo-keyword-research-tool-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=doesaiknow/ai-search-volume-geo-keyword-research-tool-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Search Volume - GEO Keyword Research Tool & API & MCP", "description": "AI search volume & GEO keyword research: bulk AI-search demand estimates + 12-month trends for any keyword list, in 200+ countries & languages. A pay-per-use AEO / GEO keyword tool - no subscription, no prompt limits. Cheap Profound / Otterly / Peec alternative. $0.99/1k, free tier. 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Each is normalized (lowercase + trimmed) and deduplicated before the upstream call (identical tasks are not refundable per upstream ToS). FREE PLAN: limited to 10 keywords per scan; the actor exits early with an upgrade prompt above the limit. AI search volume is a directional estimate — strongest on brand, category, head and informational terms; weaker on head-to-head 'X vs Y' comparisons and hyper-specific long-tail.", "items": { "type": "string", "minLength": 1, "maxLength": 250 } }, "location": { "title": "Country / location", "maxLength": 100, "type": "string", "description": "Full location name, e.g. 'United States', 'United Kingdom', 'Germany', 'Poland', 'Brazil'. Volume is returned for this market. 200+ locations supported; one location per run. Default 'United States'.", "default": "United States" }, "language": { "title": "Language", "maxLength": 100, "type": "string", "description": "Full language name for the location, e.g. 'English', 'German', 'Polish', 'Portuguese'. Keywords should be written in this language for the target market. Default 'English'.", "default": "English" }, "includeMonthly": { "title": "Include 12-month history", "type": "boolean", "description": "Include the full ai_monthly_searches array (12 months of {year, month, ai_search_volume}) in each row, so you can chart the trend yourself. Default true. Turn off for leaner rows.", "default": true }, "bypassRunCache": { "title": "Bypass 24h run-cache", "type": "boolean", "description": "Skip the 24h KV Store run-cache and re-query the upstream API live. You will be charged the search-volume fee. Default false.", "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 } } } } } } } } } } ```