# AI Website Sales Readiness Auditor (`orbitai/ai-website-sales-readiness-auditor`) Actor Audits local business websites for conversion readiness, lead-capture gaps, trust signals, and sales opportunity scoring. - **URL**: https://apify.com/orbitai/ai-website-sales-readiness-auditor.md - **Developed by:** [Daniel Lozano](https://apify.com/orbitai) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.10005 / 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 ## AI Website Sales Readiness Auditor Audit local business websites for conversion readiness and lead opportunity gaps. This Actor crawls same-domain HTML pages, extracts sales signals, scores the site, and returns structured data that agencies and lead sellers can use for outreach. ### Who It Is For - SEO agencies - Web design agencies - AI automation agencies - Lead sellers - Local business consultants - Cold email agencies - Local service marketers - Restaurant marketing agencies - Reputation management companies ### Why It Is Useful Many local businesses have websites that attract visitors but fail to convert them. This Actor identifies missing or weak conversion assets such as clickable phone links, quote forms, booking links, menu or pricing visibility, trust proof, Google Maps links, social links, and basic technical signals. ### Input Fields - `startUrls`: required list of business website URLs. - `maxPagesPerWebsite`: maximum same-domain HTML pages to audit per website. - `crawlDepth`: internal link depth from the start URL. - `includeAiAnalysis`: enables grounded AI summary when an API key is configured. - `industryHint`: optional hint such as `restaurant`, `dentist`, `plumber`, `salon`, or `attorney`. - `language`: language code for AI-generated text. - `maxConcurrency`: number of websites audited in parallel. - `timeoutSeconds`: per-site audit timeout. ### Example Input ```json { "startUrls": [ { "url": "https://example.com" } ], "maxPagesPerWebsite": 10, "crawlDepth": 2, "includeAiAnalysis": false, "industryHint": "restaurant", "language": "en", "maxConcurrency": 3, "timeoutSeconds": 60 } ```` ### Example Output ```json { "inputUrl": "https://example.com", "finalUrl": "https://example.com/", "businessName": "Example Domain", "industryDetected": "Restaurant", "status": "success", "salesReadinessScore": 58, "leadOpportunityScore": 66, "includeAiAnalysisUsed": false, "contact": { "phoneNumbers": [], "emails": [], "contactPageUrl": "", "address": "" }, "conversionAssets": { "hasClickablePhone": false, "hasContactForm": false, "hasBookingLink": false, "hasQuoteRequest": false, "hasOrderOnline": false, "hasReservationLink": false, "hasPricingOrMenu": false, "hasServicesPage": false }, "trustSignals": { "hasTestimonials": false, "hasReviewsLink": false, "hasGoogleMapsLink": false, "hasSocialLinks": false, "hasAboutPage": false, "hasTeamPage": false, "hasPrivacyPolicy": false }, "technicalSignals": { "hasTitle": true, "hasMetaDescription": true, "hasSchemaOrg": false, "hasOpenGraph": false, "usesHttps": true, "mobileViewportTag": true }, "socialLinks": { "facebook": "", "instagram": "", "tiktok": "", "youtube": "", "linkedin": "" }, "pagesAudited": ["https://example.com/"], "missingItems": ["No booking, order, reservation, or quote CTA found"], "quickWins": ["Add a prominent booking, quote, reservation, or order CTA above the fold."], "recommendedPitch": "Pitch a focused conversion audit with CTA, trust, and lead-capture fixes.", "aiSummary": "", "createdAt": "2026-06-12T00:00:00.000Z" } ``` ### Scoring Explanation `salesReadinessScore` is a 0-100 score weighted across clickable phone, email or contact form, contact page, booking/order/quote/reservation CTA, services/menu/pricing visibility, trust signals, social/review presence, and technical basics. `leadOpportunityScore` is higher when the website has obvious gaps that an agency can sell services for, such as no booking link, no clickable phone, no contact form, no services/menu/pricing page, no testimonials or reviews, no schema, weak CTA paths, or missing social links. ### AI Analysis If `includeAiAnalysis` is true and `OPENAI_API_KEY` is configured, the Actor attempts a grounded AI summary. If no AI key is available, the Actor continues without failing and returns deterministic audit fields with `includeAiAnalysisUsed: false`. ### Use Cases - Prospect lists for web design and SEO agencies - Local business conversion audits - Restaurant booking and menu visibility scans - Sales outreach personalization - Reputation and trust-signal monitoring - AI automation agency lead qualification ### Limitations - MVP audits public HTML pages only. - It does not scrape behind logins. - It does not perform browser UI testing. - It does not claim legal ADA or accessibility compliance. - It does not run lab-grade mobile performance tests; it detects mobile viewport and HTML-level signals only. - PDF menus are not parsed in the MVP. ### Local Development ```bash npm install npm run build npm test npm run lint apify run ``` ### Deployment ```bash apify login apify push ``` Deployment should only happen after the quality gate and PACT report pass. ### Pricing And Monetization Angle Recommended pricing is pay per result or pay per 1,000 audited websites. The strongest buyers are agencies and lead sellers that can turn missing website conversion assets into service pitches. # Actor input Schema ## `startUrls` (type: `array`): Required list of local business website URLs to audit. ## `maxPagesPerWebsite` (type: `integer`): Maximum number of same-domain HTML pages to audit per business. ## `crawlDepth` (type: `integer`): Maximum internal link depth from the starting URL. ## `includeAiAnalysis` (type: `boolean`): Use an LLM for grounded summary and outreach pitch when an API key is available. ## `industryHint` (type: `string`): Optional hint such as restaurant, dentist, plumber, salon, attorney, or clothing store. ## `language` (type: `string`): Language code for AI-generated text. Deterministic fields are returned in English. ## `maxConcurrency` (type: `integer`): Number of websites to audit in parallel. ## `timeoutSeconds` (type: `integer`): Maximum time budget for each website audit. ## Actor input object example ```json { "startUrls": [ { "url": "https://example.com" } ], "maxPagesPerWebsite": 10, "crawlDepth": 2, "includeAiAnalysis": true, "industryHint": "", "language": "en", "maxConcurrency": 5, "timeoutSeconds": 60 } ``` # 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 = { "startUrls": [ { "url": "https://example.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("orbitai/ai-website-sales-readiness-auditor").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 = { "startUrls": [{ "url": "https://example.com" }] } # Run the Actor and wait for it to finish run = client.actor("orbitai/ai-website-sales-readiness-auditor").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 '{ "startUrls": [ { "url": "https://example.com" } ] }' | apify call orbitai/ai-website-sales-readiness-auditor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=orbitai/ai-website-sales-readiness-auditor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AI Website Sales Readiness Auditor", "description": "Audits local business websites for conversion readiness, lead-capture gaps, trust signals, and sales opportunity scoring.", "version": "0.1", "x-build-id": "L1o9VgZBGp32bKvKg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/orbitai~ai-website-sales-readiness-auditor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-orbitai-ai-website-sales-readiness-auditor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/orbitai~ai-website-sales-readiness-auditor/runs": { "post": { "operationId": "runs-sync-orbitai-ai-website-sales-readiness-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/orbitai~ai-website-sales-readiness-auditor/run-sync": { "post": { "operationId": "run-sync-orbitai-ai-website-sales-readiness-auditor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Business website URLs", "minItems": 1, "type": "array", "description": "Required list of local business website URLs to audit.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "Website URL", "description": "A public business website URL." } } } }, "maxPagesPerWebsite": { "title": "Max pages per website", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of same-domain HTML pages to audit per business.", "default": 10 }, "crawlDepth": { "title": "Crawl depth", "minimum": 0, "maximum": 5, "type": "integer", "description": "Maximum internal link depth from the starting URL.", "default": 2 }, "includeAiAnalysis": { "title": "Include AI analysis", "type": "boolean", "description": "Use an LLM for grounded summary and outreach pitch when an API key is available.", "default": true }, "industryHint": { "title": "Industry hint", "type": "string", "description": "Optional hint such as restaurant, dentist, plumber, salon, attorney, or clothing store.", "default": "" }, "language": { "title": "Output language", "type": "string", "description": "Language code for AI-generated text. Deterministic fields are returned in English.", "default": "en" }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Number of websites to audit in parallel.", "default": 5 }, "timeoutSeconds": { "title": "Per-site timeout seconds", "minimum": 10, "maximum": 300, "type": "integer", "description": "Maximum time budget for each website audit.", "default": 60 } } }, "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 } } } } } } } } } } ```