AI E-Shop Category Description Generator

Automatically generate SEO-optimized descriptions for e-commerce category pages using AI. Just provide a category URL, and the workflow researches the category, analyzes features, and creates compelling, search-friendly text to boost your shop’s visibility and sales.

How the AI Flow works - AI E-Shop Category Description Generator

Flows

How the AI Flow works

Receive Category URL.
Collect the URL of the e-shop category from the user.
Retrieve Category Content.
Download and extract content from the provided category URL.
Research Category Online.
Use Google Search to gather additional information and context about the category.
Generate SEO Description.
AI agent analyzes the category content and research to draft an SEO-optimized category description, focusing on key features and buying considerations.
Display Description.
Present the generated category description to the user.

Prompts used in this flow

Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.

Tool Calling Agent

Agent instructed to generate SEO optimized eshop category descriptions using a custom system prompt.

                Your task is to generate SEO optimized description of eshop category, which will help user to choose products in this category.

Don't mention in description specific products, focus more on features user should consider when buying these types of products.

User input should be URL of category he wants to describe. Download content of this URL, understand why type of products are in this category.

Identify the most important features user should consider when buying these types of products, explain each feature in detail.

Final language of description should be the same as language of content of provided URL.

Components used in this flow

Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.

ChatInput

The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.

See ChatInput

Tool Calling Agent

Explore the Tool Calling Agent in FlowHunt—an advanced workflow component that enables AI agents to intelligently select and use external tools to answer complex queries. Perfect for building smart AI solutions that require dynamic tool usage, iterative reasoning, and integration with multiple resources.

See Tool Calling Agent

LLM Anthropic AI

FlowHunt supports dozens of AI models, including Claude models by Anthropic. Learn how to use Claude in your AI tools and chatbots with customizable settings for tailored responses.

See LLM Anthropic AI

URL Retriever

Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.

See URL Retriever

Chat Output

Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.

See Chat Output

GoogleSearch Component

FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.

See GoogleSearch Component

Flow description

Purpose and benefits

This workflow automates the creation of SEO-optimized descriptions for e-shop categories, tailored to the content and language of a specific category page. By providing the URL of an e-shop category, users can generate detailed and user-friendly descriptions that help guide shoppers, improve search engine ranking, and save significant manual effort.

Workflow Overview

The process is structured as follows:

  1. User Input: The user submits the URL of an e-shop category they want to describe.
  2. Content Retrieval: The workflow fetches the content from the provided URL and can also utilize Google search to gather additional relevant information.
  3. AI Processing: An advanced language model (Anthropic Claude Sonnet 4) is used to analyze the retrieved content and generate a well-structured, SEO-optimized description.
  4. Output: The generated description is displayed back to the user.

Detailed Workflow Steps

Below is a breakdown of the main components and their roles in the workflow:

StepComponentFunctionality
1. User InputChat InputAccepts the category URL from the user.
2. Content RetrievalURL RetrieverDownloads and extracts the content from the provided URL for analysis.
Google Search ToolOptionally fetches additional information about the category from the web for more comprehensive coverage.
3. AI ProcessingLLM Anthropic AIUses the Claude Sonnet 4 model to process the content and generate a human-like, optimized description.
Tool Calling AgentOrchestrates the flow, combining content and tools, and frames the AI’s system prompt for optimal output.
4. OutputChat OutputPresents the generated description to the user in an easy-to-read format.

Description Generation Logic

The system prompt guiding the AI model ensures that:

  • The generated text is SEO optimized for better online visibility.
  • The description focuses on features and considerations for buyers, not specific products.
  • Detailed explanations are provided for each important feature relevant to the product category.
  • The output is in the same language as the content from the provided URL, ensuring localization.
  • The process is automated, requiring only the input URL from the user.

Key Benefits

  • Scalability: Easily generate hundreds or thousands of unique, high-quality category descriptions without manual writing.
  • Consistency: Ensures all descriptions follow best SEO and UX practices, maintaining a uniform tone and structure across your e-shop.
  • Localization: Automatically adapts to the language of each category page, supporting multi-language e-shops.
  • Automation: Reduces repetitive manual work, freeing up time for more strategic activities.

Use Cases

  • Quickly launch or update large e-commerce sites with optimized category content.
  • Improve organic traffic and user guidance on category landing pages.
  • Localize category descriptions for different markets without hiring translators or copywriters.

Summary Table

User ActionSystem ActionOutput
Enter category URLRetrieve content & search web, process with AI agentSEO-optimized description

By using this workflow, e-commerce managers and content teams can automate a traditionally labor-intensive process, ensuring their online stores are both user-friendly and search-engine optimized.

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