# AI Visibility Opportunity Finder (`mrprince90/ai-visibility-opportunity-finder`) Actor Detects whether brands appear in Google AI Overviews, analyzes citation gaps, and provides actionable visibility recommendations. - **URL**: https://apify.com/mrprince90/ai-visibility-opportunity-finder.md - **Developed by:** [Mr Prince](https://apify.com/mrprince90) (community) - **Categories:** AI, SEO tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.005 / actor start 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Visibility Opportunity Finder **Track brand mentions, citations, competitors, and content opportunities across Google AI Overview results.** ### 🎯 Why This Matters Google AI Overviews are changing how users discover brands. Traditional SEO metrics don't tell you if AI is recommending your brand — or your competitor's. This Actor gives you the answers. #### Questions this answers: - ✅ Does Google AI recommend my brand in relevant searches? - ✅ Is my domain being cited as a source in AI answers? - ✅ Which competitors dominate AI search results? - ✅ What content should I create to get cited by AI? - ✅ Which prompts have the most commercial opportunity? - ✅ Is my AI visibility improving or declining? ### ✨ Features | Feature | Description | |---------|-------------| | **AI Overview Detection** | Detects whether Google AI Overview appears for each prompt | | **Brand Mention Tracking** | Counts brand mentions, determines sentiment and recommendation position | | **Citation Gap Analysis** | Analyzes which domains are cited and categorizes them (media, review sites, forums, competitors, etc.) | | **Competitor Intelligence** | Track up to 10 competitors per run with mention frequency and citation analysis | | **Visibility Score (0-100)** | Composite score based on mention rate, citation rate, citation position, and competitor share of voice | | **Opportunity Score (0-100)** | Identifies prompts where you have the most to gain | | **Actionable Recommendations** | Prioritized actions based on your current visibility status | | **Organic Position Tracking** | Extracts organic results to detect ranking vs. citation gaps | ### 📋 Input ```json { "brand": { "name": "Canva", "domain": "canva.com", "aliases": ["Canva Pro", "Canva AI"] }, "competitors": [ { "name": "Adobe Express", "domain": "adobe.com" }, { "name": "Figma", "domain": "figma.com" } ], "prompts": [ "best online design software", "best graphic design tool for small business", "easy presentation design software", "Canva alternatives" ], "country": "US", "language": "en", "includeOrganicResults": true, "generateRecommendations": true } ```` #### Input Fields | Field | Type | Required | Description | |-------|------|----------|-------------| | `brand.name` | string | ✅ | Primary brand name | | `brand.domain` | string | ✅ | Your primary domain | | `brand.aliases` | string\[] | ❌ | Alternative brand/product names | | `brand.exclusionTerms` | string\[] | ❌ | Terms that exclude false matches (for ambiguous names) | | `competitors[]` | object\[] | ❌ | Up to 10 competitors with name + domain | | `prompts` | string\[] | ✅ | Search queries to check (2-50 recommended) | | `country` | string | ❌ | ISO country code (default: US) | | `language` | string | ❌ | ISO language code (default: en) | | `includeOrganicResults` | boolean | ❌ | Get organic ranking positions too | | `generateRecommendations` | boolean | ❌ | Generate actionable recommendations | ### 📊 Output #### Per-Prompt Result ```json { "prompt": "best online design software", "engine": "google_ai_overview", "country": "US", "language": "en", "checkedAt": "2026-07-07T10:15:00Z", "aiAnswerAvailable": true, "answerText": "Several online design platforms are available...", "brandMentioned": true, "brandMentionCount": 2, "brandSentiment": "positive", "brandRecommendationPosition": 1, "domainCited": false, "competitors": [ { "name": "Adobe Express", "mentioned": true, "mentionCount": 1, "domainCited": true, "citationPosition": 2 } ], "citations": [ { "position": 1, "domain": "techradar.com", "url": "https://techradar.com/reviews/design-tool", "title": "Best graphic design software in 2026", "isBrandDomain": false, "isCompetitorDomain": false, "sourceCategory": "media" } ], "organicBrandPosition": 3, "visibilityStatus": "MENTIONED_NOT_CITED", "visibilityScore": 61, "opportunityScore": 84, "recommendedActions": [ { "priority": "high", "action": "Create a comparison page targeting this prompt", "reason": "Your brand ranks organically but is not used as a cited source" } ] } ``` #### Visibility Status Reference | Status | Meaning | |--------|---------| | `DOMINANT` | Brand mentioned + domain cited at strong position | | `CITED` | Domain cited, but brand not dominant | | `MENTIONED_NOT_CITED` | Brand mentioned, domain not a source | | `COMPETITOR_DOMINANT` | Competitor dominates mentions and citations | | `ORGANIC_ONLY` | Domain in organic results, not in AI answer | | `INVISIBLE` | Brand and domain not found anywhere | | `NO_AI_ANSWER` | AI Overview did not appear for this prompt | #### Brand Summary Output After processing all prompts, the Actor outputs a brand-level summary: ```json { "totalPrompts": 100, "aiAnswersFound": 78, "brandMentions": 32, "brandCitations": 14, "mentionRate": 41.03, "citationRate": 17.95, "shareOfVoice": 23.4, "visibilityScore": 48, "opportunityScore": 67 } ``` ### 💰 Pricing Plan (Pay-Per-Event) | Event | Price | Description | |-------|-------|-------------| | Basic prompt check | $0.006 | AI Overview detection + mention tracking | | With organic results | $0.009 | Adds organic position tracking | | With recommendations | $0.014 | Full analysis + action recommendations | | Historical comparison | $0.002 | Compare with previous run | | HTML agency report | $0.50 | White-label report with logo + charts | #### Example Scenarios | Usage | Cost | |-------|------| | 1,000 basic prompt checks | ~$6.00 | | 1,000 checks + organic | ~$9.00 | | 100 prompts full analysis + report | ~$1.90 | | Agency: 50 clients × 20 prompts weekly | ~$14/week | ### 🚀 Use Cases #### For SEO & GEO Agencies Run this Actor for dozens of clients every week. The citation gap analysis tells you exactly what content strategy will move the needle. #### For SaaS Companies Track prompts like "best CRM for startups" or "best accounting software." Know when your brand breaks into AI answers and which competitor just overtook you. #### For E-commerce & Consumer Brands Monitor whether AI recommends your products. Spot when competitors gain citation advantage and what third-party sites influence AI answers. #### For Digital PR & Content Agencies Identify which domains AI cites most in your category. Build outreach programs targeted at the publishers who shape AI answers. ### 🔗 Integrations - **API**: Trigger via Apify API, n8n, Make, Zapier - **Scheduling**: Set up daily/weekly monitoring via Apify Schedules - **Webhooks**: Get alerts when visibility drops, competitors gain ground, or new citation domains appear ### 📦 What You Get - Dataset with per-prompt detailed results - Brand summary with key metrics - Citation gap analysis with domain categorization - Opportunity ranking with prioritized prompts - Actionable recommendations per visibility status ### ⚙️ Technical Requirements - **Proxy**: Residential proxy (included with Apify Proxy) - **Browser**: Playwright-based rendering - **Scoring**: Visibility Score + Opportunity Score (0-100) - **Output**: Dataset + Key-Value Store *** **Don't just monitor AI search — outperform your competition.** # Actor input Schema ## `brand` (type: `object`): The brand to analyze for AI Overview visibility ## `competitors` (type: `array`): Competitor brands to track in AI Overviews ## `prompts` (type: `array`): Search queries to check for AI Overview presence ## `country` (type: `string`): ISO country code for Google search (e.g., US, GB, DE) ## `language` (type: `string`): ISO language code (e.g., en, de, fr) ## `includeOrganicResults` (type: `boolean`): Also extract organic search results for additional analysis ## `generateRecommendations` (type: `boolean`): Generate actionable recommendations based on the analysis ## `maxConcurrency` (type: `integer`): Maximum number of concurrent browser pages ## Actor input object example ```json { "brand": { "name": "Asana", "domain": "asana.com" }, "competitors": [ { "name": "Adobe Express", "domain": "adobe.com", "aliases": [ "Adobe" ] } ], "prompts": [ "best online design software" ], "country": "US", "language": "en", "includeOrganicResults": true, "generateRecommendations": true, "maxConcurrency": 1 } ``` # 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 = { "competitors": [ { "name": "Adobe Express", "domain": "adobe.com", "aliases": [ "Adobe" ] } ], "prompts": [ "best online design software" ] }; // Run the Actor and wait for it to finish const run = await client.actor("mrprince90/ai-visibility-opportunity-finder").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 = { "competitors": [{ "name": "Adobe Express", "domain": "adobe.com", "aliases": ["Adobe"], }], "prompts": ["best online design software"], } # Run the Actor and wait for it to finish run = client.actor("mrprince90/ai-visibility-opportunity-finder").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 '{ "competitors": [ { "name": "Adobe Express", "domain": "adobe.com", "aliases": [ "Adobe" ] } ], "prompts": [ "best online design software" ] }' | apify call mrprince90/ai-visibility-opportunity-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mrprince90/ai-visibility-opportunity-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Visibility Opportunity Finder", "description": "Detects whether brands appear in Google AI Overviews, analyzes citation gaps, and provides actionable visibility recommendations.", "version": "0.1", "x-build-id": "JvqjsWskNFCG34JIq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mrprince90~ai-visibility-opportunity-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mrprince90-ai-visibility-opportunity-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mrprince90~ai-visibility-opportunity-finder/runs": { "post": { "operationId": "runs-sync-mrprince90-ai-visibility-opportunity-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mrprince90~ai-visibility-opportunity-finder/run-sync": { "post": { "operationId": "run-sync-mrprince90-ai-visibility-opportunity-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "prompts" ], "properties": { "brand": { "title": "Brand", "required": [ "name", "domain" ], "type": "object", "description": "The brand to analyze for AI Overview visibility", "properties": { "name": { "title": "Brand Name", "type": "string", "description": "The brand name (e.g., Canva)", "editor": "textfield" }, "domain": { "title": "Brand Domain", "type": "string", "description": "The brand's primary domain (e.g., canva.com)", "editor": "textfield" }, "aliases": { "title": "Brand Aliases", "type": "array", "description": "Alternative names for the brand (e.g., Canva Pro)", "editor": "stringList", "default": [] }, "exclusionTerms": { "title": "Exclusion Terms", "type": "array", "description": "Terms that when nearby should exclude a mention match (for ambiguous brand names)", "editor": "stringList", "default": [] } }, "default": { "name": "Asana", "domain": "asana.com" } }, "competitors": { "title": "Competitors", "type": "array", "description": "Competitor brands to track in AI Overviews", "default": [ "ClickUp" ] }, "prompts": { "title": "Search Prompts", "type": "array", "description": "Search queries to check for AI Overview presence", "default": [ "best software" ], "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "ISO country code for Google search (e.g., US, GB, DE)", "default": "US" }, "language": { "title": "Language", "type": "string", "description": "ISO language code (e.g., en, de, fr)", "default": "en" }, "includeOrganicResults": { "title": "Include Organic Results", "type": "boolean", "description": "Also extract organic search results for additional analysis", "default": true }, "generateRecommendations": { "title": "Generate Recommendations", "type": "boolean", "description": "Generate actionable recommendations based on the analysis", "default": true }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of concurrent browser pages", "default": 1 } } }, "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 } } } } } } } } } } ```