Marketing Reports & Ads Optimization

Creating marketing reports and optimizing ads manually can be inefficient. KaibanJS automates this process with AI agents that extract insights, identify keywords, and generate ad strategies—saving time and improving precision.

The Challenge

Marketing teams often struggle with:

• Extracting key insights from website content.
• Identifying and structuring effective keywords.
• Creating compelling ad copies tailored to the audience.
• Managing multiple campaigns while ensuring consistency.

Manual processes can be inconsistent and time-consuming, especially for large-scale campaigns.

The Solution with KaibanJS

KaibanJS automates marketing workflows using AI agents that extract content insights, generate keyword-focused reports, and create optimized ad templates. This ensures efficiency and consistency across multiple campaigns.

The Agentic Solution

KaibanJS utilizes two specialized AI agents:

🕵️Agents

• ContentAnalyzer:
  • Extracts key themes, keywords, and value propositions from website content.
  • Identifies tone, style, and unique selling points.
• ReportGenerator:
  • Compiles marketing insights into structured reports.
  • Generates keyword-focused ad templates with optimized headlines and descriptions.
  • Recommends ad optimization strategies, including negative keyword suggestions.

Process Overview

Here’s how KaibanJS automates marketing optimization:

📝Tasks

1. Content Analysis: The ContentAnalyzer scans the provided URL to extract keywords, tone, and value propositions.
2. Report Generation: The ReportGenerator structures insights into a marketing report and generates ad templates.
3. Optimization Suggestions: Includes keyword improvements and performance-enhancing strategies.
4. Output Compilation: Delivers a complete marketing report with actionable insights and ready-to-use ad copies.

Implementation

Below is an example of how this automation is implemented using KaibanJS:

import { Agent, Task, Team } from 'kaibanjs';
import { Tool } from "@langchain/core/tools";
import { z } from "zod";
import axios from "axios";

// === UrlMarkdown Tool ===
export class UrlMarkdown extends Tool {
  constructor(fields) {
    super(fields);
    this.name = "url_markdown_tool";
    this.description = "Gets content in Markdown format from a URL.";
    this.schema = z.object({
      url: z
        .string()
        .url()
        .describe("The URL from which to extract content in Markdown format."),
    });
  }

  async _call(input) {
    try {
      const requestUrl = `https://r.jina.ai/${encodeURIComponent(input.url)}`;
      const response = await axios.get(requestUrl);
      return response.data;
    } catch (error) {
      return `Error getting content from URL: ${error.message}`;
    }
  }
}

// Tool instance
const urlMarkdownTool = new UrlMarkdown();

// === AGENTS ===

// Content Analysis Agent
const contentAnalyzer = new Agent({
  name: 'ContentAnalyzer',
  role: 'Content Analysis Specialist',
  goal: 'Extract and analyze relevant information from URLs',
  background: 'Expert in web content analysis and key information extraction',
  tools: [urlMarkdownTool]
});

// Report Generator Agent
const reportGenerator = new Agent({
  name: 'ReportGenerator',
  role: 'Marketing Report Specialist',
  goal: 'Generate detailed marketing reports and optimized ads',
  background: 'Specialist in digital marketing and Google Ads generation',
  tools: []
});

// === TASKS ===
const tasks = [
  new Task({
    description: `Analyze the provided URL: {url} and extract key information.`,
    agent: contentAnalyzer,
    priority: 1
  }),
  new Task({
    description: `Generate a complete marketing report and optimized ads using extracted information.`,
    agent: reportGenerator,
    priority: 2
  })
];

// === TEAM ===
const team = new Team({
  name: 'Marketing Ads Team',
  agents: [contentAnalyzer, reportGenerator],
  tasks: tasks,
  inputs: { url: 'https://example.com', language: 'en' }
});

export default team;

Outcome

With KaibanJS, teams receive:

• Marketing Reports: Structured insights on keywords, messaging, and ad performance recommendations.
• Optimized Ad Templates: Ready-to-use headlines, descriptions, and calls-to-action.
• Scalable Automation: Repeatable workflows for multiple clients or campaigns.

Expected Benefits

• Time Savings: Automates content analysis and report creation.
• Higher Performance: Generates data-driven ad strategies with optimized relevance.
• Scalability: Easily adapts to various business needs.
• Consistency: Ensures uniform quality across all campaigns.

Get Started Today

Ready to streamline your marketing workflows? Explore KaibanJS and elevate your ad campaigns.

🌐 Website: KaibanJS
💻 GitHub Repository: KaibanJS on GitHub
🤝 Discord Community: Join the Community

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