# 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, 1 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## SitePilot — 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.

***

### ⚙️ How It Works

SitePilot audits target business websites using a systematic 4-step pipeline:

1. **Target Ingestion**: The Actor loads the list of target website URLs from `startUrls` and enqueues them.
2. **Page Crawling & Link Extraction**: For each website, it crawls same-domain HTML pages up to the configured `crawlDepth` and `maxPagesPerWebsite` limits, extracting body text, page links, and structured markup.
3. **Conversion Signal Analysis**: It audits the extracted content for key conversion assets:
   - **Contact Signals**: Clickable phone links (`tel:`), emails, address strings, and contact page paths.
   - **CTAs**: Instant booking links, quote request forms, order online buttons, or reservation widgets.
   - **Pricing & Details**: Price lists, menus, or service package catalogs.
   - **Trust Proof**: Testimonials, customer reviews, Google Maps embeds, and social profile links.
   - **Technical Basics**: Viewport mobile tags, meta descriptions, HTTPS security, and Schema.org markup.
4. **Scoring & Output Compiler**: It computes a `salesReadinessScore` (website conversion quality) and a `leadOpportunityScore` (how many sales-pitch opportunities exist), compiles the findings, and pushes them to the dataset.

***

### 🚀 Features

- **Multi-Page Business Audit**: Automatically follows internal domain links to perform a thorough site-wide check instead of just auditing the homepage.
- **Agency-Friendly Scoring**: Computes a readiness score and an opportunity score, highlighting specific gaps that agencies can leverage in sales pitches.
- **Heuristic Conversion Checks**: Detects call-to-actions, menus, addresses, testimonials, reviews, schemas, and mobile viewports.
- **Optional Grounded AI Summaries**: Integrates with OpenAI/Anthropic APIs to write a descriptive business pitch summary if API keys are supplied in the runtime.

***

### 📝 Input Parameters

- `startUrls` (Array, required): List of business website URLs to audit (editor: `requestListSources`).
- `maxPagesPerWebsite` (Integer, default: `10`): Maximum same-domain HTML pages to crawl per site.
- `crawlDepth` (Integer, default: `2`): Link depth limit from the seed URL.
- `includeAiAnalysis` (Boolean, default: `false`): Enables grounded AI summary when an API key is configured.
- `industryHint` (String): Optional category (e.g. `restaurant`, `dentist`, `plumber`, `salon`, `attorney`).
- `language` (String, default: `"en"`): Language code for AI-generated pitches.

***

### 📦 Output Format

Each audited website results in a structured record stored in the default dataset:

#### Example Dataset Item

```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"
}
```

***

### 🛠 How to Integrate

You can trigger SitePilot programmatically using the official Apify client libraries:

#### JavaScript/TypeScript Client

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

const input = {
    "startUrls": [{ "url": "https://example.com" }],
    "maxPagesPerWebsite": 5,
    "crawlDepth": 1
};

const run = await client.actor("orbitai/ai-website-sales-readiness-auditor").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python Client

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "startUrls": [{"url": "https://example.com"}],
    "maxPagesPerWebsite": 5,
    "crawlDepth": 1
}

run = client.actor("orbitai/ai-website-sales-readiness-auditor").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

***

### ⚖️ Legal & Compliance

This tool conducts basic crawler audits on public website URLs. Users must respect website `robots.txt` directives, rate limits, and ensure all outbound agency marketing pitches based on these audits comply with local spam regulations (CAN-SPAM, GDPR).

# Changelog

This Actor's version history is a separate document: https://apify.com/orbitai/ai-website-sales-readiness-auditor/changelog.md

# 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
}
```

# Actor output Schema

## `results` (type: `string`):

Link to output dataset items.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,orbitai/ai-website-sales-readiness-auditor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VPUzeppZdMqQdRMdM/builds/AEDMSTNUlHEWjVCOB/openapi.json