Summarize Any URL into Meta Description

Automatically creates an engaging, SEO-friendly meta description for any web page, PDF, YouTube video, or document link by analyzing its content and generating a concise summary ideal for search results.

How the AI Flow works - Summarize Any URL into Meta Description

Flows

How the AI Flow works

Receive URL Input.
Accepts a URL or document link from the user.
Extract Content from URL.
Retrieves and processes the full content from the provided URL or document.
Prepare Meta Description Prompt.
Formats the extracted content into a prompt designed to generate an attractive meta description.
Generate Meta Description.
Uses an AI model to create a concise, engaging meta description based on the prompt.
Display Result.
Shows the generated meta description to the user.

Prompts used in this flow

Prompt

Creates a custom prompt used for LLM summarization, dynamically injecting web page content.

You are professional marketer and copywriter with excellent skill of summarization long text into short.
Summarize content of webpage into a meta description maximum 140 characters long. 
Summarization should use same Language as was used on the page. 
Summarization is visible in google results, make it attractive to convince any visitor who see it to visit the page.

--- CONTENT of WEB PAGE: 
{context}
---

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

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

Prompt Component in FlowHunt

Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.

See Prompt Component in FlowHunt

Generator

Explore the Generator component in FlowHunt—powerful AI-driven text generation using your chosen LLM model. Effortlessly create dynamic chatbot responses by combining prompts, optional system instructions, and even images as input, making it a core tool for building intelligent, conversational workflows.

See Generator

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

Flow description

Purpose and benefits

This workflow is designed to automatically generate an attractive meta description (up to 140 characters) from the contents of any supplied URL. It works with a wide range of content types, including HTML pages, PDFs, YouTube videos, Word documents, and other text-based documents. The generated meta description is tailored to be compelling for users in Google search results and matches the original content’s language.

How the Workflow Operates

The workflow consists of the following steps:

  1. User Input
    The user provides a URL (or uploads a file) through a chat interface. This is captured by the “ChatInput” node.

  2. Content Extraction
    The “URL Retriever” node fetches the content from the provided link. It supports multiple content types (webpages, PDFs, videos, documents, etc.), extracting the readable text for further processing.

  3. Prompt Preparation
    The extracted content is fed into a “Prompt Template” node. The template is crafted to instruct an AI model to act as a professional marketer and copywriter, summarizing the content into a meta description (max 140 characters). Key requirements in the prompt include:

    • Using the same language as the original content
    • Making the summary attractive and persuasive for Google search users

  4. AI Text Generation
    The “Generator” node uses a language model (LLM) to generate the actual summary based on the prepared prompt and the page’s content.

  5. Displaying the Result
    The generated meta description is displayed back to the user through the “Chat Output” node in the chat interface.

Workflow Structure

StepNode NameDescription
1Chat InputAccepts URL or file input from user
2URL RetrieverFetches and extracts content from the provided link
3Prompt TemplatePrepares instruction prompt for AI summarization
4GeneratorAI model generates the meta description
5Chat OutputDisplays the meta description to the user

Usefulness and Automation Benefits

  • Time Savings: Automates the creation of meta descriptions, which are usually written manually—a time-consuming task, especially at scale.
  • Consistency: Ensures that all meta descriptions are concise, persuasive, and adhere to SEO best practices.
  • Multilingual Support: Automatically generates descriptions in the same language as the source content, which is crucial for international websites.
  • Versatility: Works with various content types (websites, PDFs, videos, docs), reducing the need for specialized tools for each format.
  • Scalability: Easily scales to process large batches of URLs or documents, making it ideal for agencies, marketers, or SEO professionals managing multiple websites or pages.

Typical Applications

  • SEO Optimization: Quickly generate optimized meta descriptions for new or existing content.
  • Content Management: Streamline updates to meta descriptions across large websites.
  • Bulk Processing: Efficiently handle meta descriptions for product catalogs, news sites, or content-heavy platforms.

By automating the meta description creation process, this workflow enables businesses and individuals to improve their search engine visibility and drive more clicks with minimal manual effort.

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