# GEO Prompt Bank - Curated AI Prompts by Industry (`dltik/geo-prompt-bank`) Actor Solve the cold-start of GEO/AEO: pre-built libraries of high-intent prompts per industry (e-commerce, SaaS, fintech, healthcare, real estate). Run them against ChatGPT/Claude/Gemini to find where your brand should appear. Built to chain with GEO Visibility Score. - **URL**: https://apify.com/dltik/geo-prompt-bank.md - **Developed by:** [dltik](https://apify.com/dltik) (community) - **Categories:** AI, Marketing, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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 ## GEO Prompt Bank — Curated AI Prompts by Industry **GEO Prompt Bank** solves the cold-start problem of GEO/AEO (Generative Engine Optimization). Pick your industry from 12 curated verticals — get 10 high-intent buying-stage prompts pre-built for that niche. Run them against ChatGPT, Claude, and Gemini in one click. Discover where your brand should appear in AI-generated answers — and which competitors are taking your slot. Stop guessing what prompts to test. The bank is curated for buying-intent: "Best CRM for solopreneurs", "Cheapest broker for ETFs in Europe", "Top tools for cohort-based courses". The prompts your future customers actually ask AI. > ⭐ **Found this useful?** Click the **Bookmark** button at the top of [this page](https://apify.com/dltik/geo-prompt-bank) — it helps the actor stay visible to others who need it. Takes 1 click. No signup beyond your existing Apify account. --- ### What can GEO Prompt Bank do for your brand? - 📚 **12 curated industries** — SaaS productivity, SaaS CRM, SaaS marketing, ecommerce fashion, ecommerce electronics, fintech banking, fintech investing, healthcare SaaS, real estate, education online, developer tools, AI tools - 🎯 **High-intent prompts** — buying-stage queries, not generic "what is X" questions - 🤖 **Multi-LLM testing** — query ChatGPT (GPT-4o-mini), Claude (Haiku 4.5), and Gemini (2.0 Flash) at once - 📊 **Visibility scoring** — see where your brand ranks in each response (top / middle / bottom) - 🏆 **Competitor detection** — auto-extract which other brands AI mentions alongside yours - ✏️ **Custom prompts supported** — bring your own list to override the curated bank --- ### What data does GEO Prompt Bank extract? | Field | Description | |-------|-------------| | `prompt` | The query sent to the LLM | | `model` | The OpenRouter model used (e.g. `openai/gpt-4o-mini`) | | `response_text` | First 1500 chars of the LLM's answer | | `mentioned` | Whether your brand is mentioned in the answer | | `occurrences` | How many times your brand appears | | `rank_zone` | `top` / `middle` / `bottom` of the response | | `context` | The 200-char snippet around your first mention | | `competitors_detected` | Other brand-like names detected in the response | | `visibility.score` | 0–100 weighted score across all responses | | `visibility.mention_rate` | % of responses where your brand appears | | `per_llm` | Breakdown of visibility per LLM | | `top_competitors` | Top 10 competitors detected by mention frequency | --- ### How to test your brand visibility in AI answers 1. **[Create a free Apify account](https://apify.com/sign-up)** 2. **Open [GEO Prompt Bank](https://apify.com/dltik/geo-prompt-bank)** in Apify Store 3. **Enter your brand name** (e.g. `Notion`, `Stripe`, `Pipedrive`) 4. **Pick your industry** from the dropdown (or use custom prompts) 5. **Click Start** — 10 prompts × 3 LLMs = 30 queries, runs in 30–60 seconds 6. **Download the visibility report** in JSON, CSV, or Excel --- ### How much does GEO prompt bank analysis cost? **$0.05 per prompt analyzed** via Apify Pay-Per-Event. Includes the OpenRouter API call cost. | Run | Prompts × LLMs | Total events | Cost | |-----|----------------|--------------|------| | Quick test (5 prompts × 1 LLM) | 5 | 5 | ~$0.25 | | Standard (10 prompts × 3 LLMs) | 30 | 30 | ~$1.50 | | Deep audit (10 prompts × 5 LLMs) | 50 | 50 | ~$2.50 | A full GEO visibility audit costs ~$1.50 — vs $500+ for a manual SEO/AEO consultant. --- ### Input | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `brand` | string | ✅ | — | Your brand name (e.g. `Notion`) | | `industry` | string | ❌ | `saas-productivity` | Pick from 12 curated verticals or `custom` | | `customPrompts` | array | ❌ | `[]` | Override the bank with your own prompts (use `{brand}` placeholder) | | `llms` | array | ❌ | 3 models | OpenRouter model IDs to query | | `limit` | integer | ❌ | `10` | Max prompts per run (1 prompt × N LLMs = N events) | | `openrouterApiKey` | string | ❌ | env var | Override the default OpenRouter API key | --- ### Curated industry banks Each industry has 10 buying-intent prompts. Examples: - **saas-crm**: "Best CRM for a 10-person sales team?", "Cheapest CRM with email automation", "{brand} vs alternatives for B2B sales" - **fintech-investing**: "Best broker for buying ETFs in Europe", "Trade Republic vs Trading 212 vs Interactive Brokers", "Best robo-advisor in the US in 2026" - **real-estate**: "Best CRM for real-estate agents in 2026?", "Top tools for virtual property tours", "Cheapest property management software" - **developer-tools**: "Best CI/CD tool for a Python project?", "GitHub Actions vs CircleCI vs GitLab CI", "Top observability tool for a Node.js app" See `src/prompts.py` in the actor source for the full list. --- ### Related GEO actors This actor pairs with the rest of the GEO suite: - **[GEO Visibility Score](https://apify.com/dltik/geo-visibility-score)** — measure overall brand visibility across LLMs - **[GEO Brand Sentiment](https://apify.com/dltik/geo-brand-sentiment)** — analyze how AI describes your brand (sentiment, strengths, weaknesses) - **[GEO Site Audit](https://apify.com/dltik/geo-site-audit)** — audit your website's GEO/AEO readiness - **[GEO Prompt Research](https://apify.com/dltik/geo-prompt-research)** — discover net-new prompts for your niche - **[GEO Competitor Research](https://apify.com/dltik/geo-competitor-research)** — uncover competitor visibility per niche --- > ⭐ **Bookmark this actor** at the top of [its Apify Store page](https://apify.com/dltik/geo-prompt-bank) — keeps it visible for the next person who needs it. # Actor input Schema ## `brand` (type: `string`): Brand name to test (e.g. 'Notion', 'Stripe', 'Pipedrive'). ## `industry` (type: `string`): Pick a curated industry to load its pre-built prompt bank, OR provide custom prompts via 'customPrompts'. ## `customPrompts` (type: `array`): Override the curated bank. Use {brand} as placeholder. Each prompt = 1 charged event. ## `llms` (type: `array`): OpenRouter model IDs to test against. Default: 3 cheap models (Gemini Flash, GPT-4o-mini, Claude Haiku). ## `limit` (type: `integer`): Cap total prompts (across all industries). 1 prompt × N LLMs = N charged events. ## `openrouterApiKey` (type: `string`): Override the default OpenRouter key. Get one at openrouter.ai/keys. ## Actor input object example ```json { "brand": "Notion", "industry": "saas-productivity", "customPrompts": [], "llms": [ "google/gemini-2.0-flash-001", "openai/gpt-4o-mini", "anthropic/claude-haiku-4.5" ], "limit": 10 } ```` # 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", "customPrompts": [] }; // Run the Actor and wait for it to finish const run = await client.actor("dltik/geo-prompt-bank").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", "customPrompts": [], } # Run the Actor and wait for it to finish run = client.actor("dltik/geo-prompt-bank").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", "customPrompts": [] }' | apify call dltik/geo-prompt-bank --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/geo-prompt-bank", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GEO Prompt Bank - Curated AI Prompts by Industry", "description": "Solve the cold-start of GEO/AEO: pre-built libraries of high-intent prompts per industry (e-commerce, SaaS, fintech, healthcare, real estate). Run them against ChatGPT/Claude/Gemini to find where your brand should appear. Built to chain with GEO Visibility Score.", "version": "1.0", "x-build-id": "2zGjCTG7n9YDst41k" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~geo-prompt-bank/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-geo-prompt-bank", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dltik~geo-prompt-bank/runs": { "post": { "operationId": "runs-sync-dltik-geo-prompt-bank", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dltik~geo-prompt-bank/run-sync": { "post": { "operationId": "run-sync-dltik-geo-prompt-bank", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" ], "properties": { "brand": { "title": "Your brand", "type": "string", "description": "Brand name to test (e.g. 'Notion', 'Stripe', 'Pipedrive')." }, "industry": { "title": "Industry / vertical", "enum": [ "saas-productivity", "saas-crm", "saas-marketing", "ecommerce-fashion", "ecommerce-electronics", "fintech-banking", "fintech-investing", "healthcare-saas", "real-estate", "education-online", "developer-tools", "ai-tools", "custom" ], "type": "string", "description": "Pick a curated industry to load its pre-built prompt bank, OR provide custom prompts via 'customPrompts'.", "default": "saas-productivity" }, "customPrompts": { "title": "Custom prompts (optional)", "type": "array", "description": "Override the curated bank. Use {brand} as placeholder. Each prompt = 1 charged event.", "items": { "type": "string" } }, "llms": { "title": "LLMs to query", "type": "array", "description": "OpenRouter model IDs to test against. Default: 3 cheap models (Gemini Flash, GPT-4o-mini, Claude Haiku).", "default": [ "google/gemini-2.0-flash-001", "openai/gpt-4o-mini", "anthropic/claude-haiku-4.5" ] }, "limit": { "title": "Max prompts per run", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap total prompts (across all industries). 1 prompt × N LLMs = N charged events.", "default": 10 }, "openrouterApiKey": { "title": "Your OpenRouter API key (optional)", "type": "string", "description": "Override the default OpenRouter key. Get one at openrouter.ai/keys." } } }, "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 } } } } } } } } } } ```