# Ai Content Gap Agent (`apilab/ai-content-gap-agent`) Actor

An advanced SEO tool that identifies content gaps in search results using AI-powered analysis. This Apify Actor analyzes Google Search results, Reddit discussions, and competitor content to find opportunities for creating superior content that ranks better.

- **URL**: https://apify.com/apilab/ai-content-gap-agent.md
- **Developed by:** [Apilab](https://apify.com/apilab) (community)
- **Categories:** AI, Agents, SEO tools
- **Stats:** 17 total users, 6 monthly users, 86.2% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.20 / 1,000 results

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 Content Gap Agent

An advanced SEO tool that identifies content gaps in search results using AI-powered analysis. This Apify Actor analyzes Google Search results, Reddit discussions, and competitor content to find opportunities for creating superior content that ranks better.

### What it does

The AI Content Gap Agent performs comprehensive SEO research by:

1. **Google Search Analysis**: Finds top 10 competitors and "People Also Ask" questions for your target keyword
2. **Reddit Research**: Discovers real user discussions and pain points on Reddit
3. **Content Scraping**: Extracts headers (H1, H2, H3) from competitor websites to understand their content structure
4. **AI-Powered Gap Analysis**: Uses Groq AI to identify:
   - Missing topics that users care about but competitors haven't addressed
   - Unique angles to differentiate your content
   - Structured content outlines for high-ranking articles

### Input

The Actor requires a single input parameter:

```json
{
  "keyword": "best crm software"
}
````

- `keyword` (required): The target keyword or phrase to analyze for content gaps

### Output

The Actor outputs a structured JSON object containing the complete analysis:

```json
[
  {
    "keyword": "best crm software",
    "missingTopics": [
      "In‑depth cost comparison (free vs paid tiers, hidden fees, ROI calculations)",
      "Step‑by‑step implementation guide for small businesses",
      "Industry‑specific CRM recommendations (e.g., retail, consulting, SaaS, nonprofit)",
      "AI‑powered features and how they improve sales & support workflows",
      "Data privacy, security, and compliance considerations (GDPR, CCPA)",
      "Integration depth with popular tools (email, accounting, e‑commerce, marketing automation)",
      "User adoption strategies and training resources",
      "Scalability roadmap: moving from a starter plan to enterprise",
      "Real‑world case studies with measurable results",
      "Mobile app performance and offline capabilities"
    ],
    "angleSuggestions": [
      "Create a \"Small Business Playbook\" that walks readers from problem definition to CRM selection, implementation, and growth, using real‑world case studies.",
      "Focus on AI‑enabled CRMs and compare how each platform leverages AI for lead scoring, email drafting, and predictive analytics.",
      "Provide a transparent cost‑benefit matrix that includes hidden fees, upgrade paths, and expected ROI over 12‑24 months.",
      "Include a decision‑tree tool (interactive or printable) that helps readers match their industry, team size, and budget to the best CRM.",
      "Address data security and compliance head‑on, offering a checklist for small businesses to evaluate privacy safeguards."
    ],
    "contentOutline": "# Best CRM Software for Small Businesses – 2025 Playbook\n\n## 1. Introduction\n- Why choosing the right CRM matters for growth\n- Quick stats on CRM adoption in SMBs\n\n## 2. How to Pick the Right CRM – Decision Framework\n- Decision‑tree graphic (industry, team size, budget, AI needs)\n- Key evaluation criteria checklist\n\n## 3. Cost Comparison Matrix\n| CRM | Free Tier | Paid Tier (Starter) | Enterprise Tier | Hidden Fees | Approx. ROI (12 mo) |\n|-----|-----------|---------------------|----------------|------------|--------------------|\n| HubSpot | ✅ | $45/mo | Custom | Add‑ons | 3.2× |\n| Zoho CRM | ✅ | $14/mo | $35/mo | API limits | 2.8× |\n| Salesforce Essentials | – | $25/mo | $150/mo | Add‑on apps | 4.1× |\n| Pipedrive | – | $15/mo | $99/mo | Email credits | 3.5× |\n| Freshsales | ✅ | $12/mo | $79/mo | Support tiers | 2.9× |\n- How to calculate ROI for your business\n\n## 4. AI‑Powered Features Compared\n| Feature | HubSpot | Zoho | Salesforce | Pipedrive | Freshsales |\n|---------|---------|------|------------|-----------|-----------|\n| Lead Scoring AI | ✅ | ✅ | ✅ | ❌ | ✅ |\n| Email Drafting | ✅ | ❌ | ✅ | ✅ | ✅ |\n| Predictive Forecasting | ✅ | ✅ | ✅ | ✅ | ✅ |\n- Real‑world impact examples\n\n## 5. Industry‑Specific Recommendations\n- **Retail & E‑commerce** – Zoho CRM + inventory integration\n- **Consulting & Services** – HubSpot CRM + project pipelines\n- **SaaS Start‑ups** – Salesforce Essentials + AppExchange\n- **Non‑profits** – Freshsales Free + donor tracking\n- Quick‑look tables with pros/cons\n\n## 6. Implementation Roadmap (Step‑by‑Step)\n1. Define sales stages & data fields\n2. Import & clean existing contacts\n3. Set up automation (tasks, email triggers)\n4. Train the team (videos, cheat‑sheet, 30‑day check‑in)\n5. Measure early KPIs (pipeline velocity, win rate)\n- Printable checklist\n\n## 7. Integration Deep‑Dive\n- Email & calendar (Gmail, Outlook)\n- Accounting (QuickBooks, Xero)\n- Marketing automation (Mailchimp, ActiveCampaign)\n- E‑commerce platforms (Shopify, WooCommerce)\n- API & Zapier capabilities\n\n## 8. Data Privacy & Security Checklist\n- GDPR & CCPA compliance\n- Encryption at rest & in transit\n- Role‑based access controls\n- Backup & export options\n- SOC 2 / ISO certifications\n\n## 9. User Adoption & Training Strategies\n- Gamified onboarding\n- Internal CRM champion program\n- Ongoing learning resources (webinars, community forums)\n- Measuring adoption (login frequency, task completion)\n\n## 10. Scalability & Growth Path\n- When to upgrade tiers\n- Adding modules (service, marketing, analytics)\n- Migration considerations to enterprise versions\n\n## 11. Real‑World Case Studies\n- **Retail Store** – Zoho CRM increased repeat purchases by 27% in 6 months\n- **Consulting Firm** – HubSpot CRM cut admin time by 40%\n- **SaaS Startup** – Salesforce Essentials boosted lead conversion by 15%\n- Include screenshots & KPI tables\n\n## 12. Frequently Asked Questions (PAA)\n- What is the best free CRM in 2025?\n- How does AI improve CRM performance?\n- Can I integrate my CRM with Shopify?\n- Is my data safe with cloud‑based CRMs?\n- How many users can the free tier support?\n\n## 13. Conclusion & Call‑to‑Action\n- Summarize the playbook benefits\n- Offer a downloadable comparison sheet\n- Invite readers to a free 30‑minute CRM audit consultation\n\n---\n*All data points are based on vendor pricing (as of Dec 2025) and independent user surveys.*",
    "topUrls": [
      "https://www.reddit.com/r/CRM/comments/1o0r9ot/whats_the_best_crm_youre_using_right_now_and_why/",
      "https://zapier.com/blog/best-crm-app/",
      "https://www.hubspot.com/products/crm",
      "https://www.forbes.com/advisor/business/software/best-crm-software/",
      "https://www.youtube.com/watch?v=GCMdLB82FXg",
      "https://www.gartner.com/reviews/market/crm-customer-engagement-center",
      "https://www.salesforce.com/"
    ],
    "redditTitles": [
      "What's the best CRM you're using right now and why?",
      "Best and inexpensive CRM for small business",
      "Best CRM Software for Small Businesses Currently?",
      "Best CRM for Customer Service? : r/CRMSoftware",
      "Best free CRM in 2024?",
      "What is the best current CRM for a small company?",
      "What is the best CRM system",
      "Best CRM tool for a small consulting company with only ...",
      "Looking for recommendations for AI enabled small ...",
      "Need CRM Recommendations for Retail Store / sales ..."
    ],
    "paaQuestions": [
      {
        "answer": null,
        "question": "What is the most popular CRM software?",
        "title": null,
        "url": null,
        "date": null
      },
      {
        "answer": null,
        "question": "Which is the no. 1 CRM?",
        "title": null,
        "url": null,
        "date": null
      },
      {
        "answer": null,
        "question": "Does Google have a free CRM?",
        "title": null,
        "url": null,
        "date": null
      },
      {
        "answer": null,
        "question": "What is the simplest CRM?",
        "title": null,
        "url": null,
        "date": null
      }
    ]
  }
]
```

### Pricing

This Actor uses a pay-per-event pricing model. The cost depends on the number of results generated.

| Event Type | Description | Cost |
|------------|-------------|------|
| Actor Start | Charge for starting the actor | $0.006 |
| Dataset Item | Charge per result item in the dataset | $0.0102 |

Since the Actor outputs a single result item per run, the total cost per analysis is $0.006 + $0.0102 = $0.0162.

# Actor input Schema

## `keyword` (type: `string`):

The keyword to analyze for content gaps (e.g., 'Best CRM for small business')

## Actor input object example

```json
{
  "keyword": "best crm software"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("apilab/ai-content-gap-agent").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("apilab/ai-content-gap-agent").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 '{}' |
apify call apilab/ai-content-gap-agent --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=apilab/ai-content-gap-agent",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Ai Content Gap Agent",
        "description": "An advanced SEO tool that identifies content gaps in search results using AI-powered analysis. This Apify Actor analyzes Google Search results, Reddit discussions, and competitor content to find opportunities for creating superior content that ranks better.",
        "version": "0.0",
        "x-build-id": "BJAtZuPmssWT5oRxF"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/apilab~ai-content-gap-agent/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-apilab-ai-content-gap-agent",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/apilab~ai-content-gap-agent/runs": {
            "post": {
                "operationId": "runs-sync-apilab-ai-content-gap-agent",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/apilab~ai-content-gap-agent/run-sync": {
            "post": {
                "operationId": "run-sync-apilab-ai-content-gap-agent",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "keyword"
                ],
                "properties": {
                    "keyword": {
                        "title": "Target Keyword",
                        "type": "string",
                        "description": "The keyword to analyze for content gaps (e.g., 'Best CRM for small business')",
                        "default": "best crm software"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
