YouTube Video to SEO Blog Generator

Automatically generate high-ranking SEO blog posts from YouTube videos. This workflow extracts video transcripts, analyzes top SEO keywords, creates a detailed blog outline, and writes engaging blog content optimized for Google search.

Flows

How the AI Flow works

Extract YouTube Video Transcript.: Retrieves and processes the transcript from a provided YouTube video URL.
Generate SEO Blog Outline.: Uses AI agents and keyword research (Google search and search volumes) to create an SEO-optimized blog structure and section briefs.
Write Detailed Blog Sections.: Summarizes the transcript and writes engaging blog copy for each section, focusing on high-volume keywords.
Assemble and Output Blog.: Combines all sections into a complete blog post and outputs the result for review or publication.

Prompts used in this flow

Prompt: Generate Blog Brief from YouTube Transcript

Prompt to generate a brief that discusses each section based on a YouTube transcript of the podcast 'AI Over Coffee'.

given to you is a YOUTUBE TRANSCRIPT of a podcast named AI Over Coffee, based on the topics discussed, come up with a brief that discusses each section.

--YOUTUBE TRANSCRIPT---
{input}
---

Prompt: Write Blog Copy from SEO Brief and YouTube Transcript

Prompt to write a full blog copy (2500 words) from the SEO brief and YouTube transcript, with specific instructions to avoid generic phrases and focus on main i...

given the SEO Content brief from last step and the YOUTUBE TRANSCRIPT, write a copy of the blog and generate the whole blog in 2500 words.
Focus on detailed information. Don't use phrases like "In todays fast changing world...", "In today's complex...", "crucial", "plays significant role", "fast-paced...", "pivotal role", "In the ever-evolving landscape of" or "In the realm of ...", always cut to the point without useless conclusions or intros.

Start always directly with the main information paragraph should deliver.

--YOUTUBE TRANSCRIPT---
{input}
---

Prompt: Summarize Transcript for Blog Section

Prompt for summarizing a YouTube transcript to write a specific section of a blog, focusing on headline, keywords, and instructions.

Given is the Youtube Transcript. You are writing a section of a blog about the youtubt podcast which you have the YOUTUBE TRANSCRIPT. summarize the needed information of the transcript to write this section.

This section:
Headline of this section of blog: {section_headline}
This Section focused keywords: {section_keywords}
This section Instruction for copy writer: {instructions}

---YOUTUBE TRANSCRIPT--
{context}
---

Prompt: Write Blog Section Copy from Summary

Prompt to write the copy for a section of a blog, using a summary and instructions, focusing on keywords and including the section headline in H2 markdown.

Given is the Youtube Transcript. You are writing a section of a blog about the youtubt podcast which you have the YOUTUBE TRANSCRIPT. given is the summary of the content you need to know to write a copy for this section of blog. write the exact section headline in H2 markdown and write the copy focusing on keywords and picking the summary of podcast taken from last step

This section:
Headline of this section of blog: {section_headline}
This Section focused keywords: {section_keywords}
This section Instruction for copy writer: {instructions}

Prompt: Pass YouTube URL as Input

Prompt template to pass the YouTube URL as a variable for downstream components.

{yt_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

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

AI Agent

The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.

See AI Agent

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

Google Search Volume

Unlock keyword insights with the Google Search Volume component—analyze search volume, competition, and trends for keywords across locations and time ranges. Ideal for marketers, SEO specialists, and anyone looking to optimize content based on real search data.

See Google Search Volume

Google Keywords Finder

Unlock valuable keyword insights with the Google Keywords Finder component—automate the discovery of related keywords, search volume trends, competition, and cost-per-click data. Perfect for building flows that need real-time keyword research and SEO optimization capabilities.

See Google Keywords Finder

Sequential Task

The Sequential Task component organizes workflow steps by defining a clear task description, expected output, and assigning an agent to execute the task. Ideal for structured, multi-step processes, it ensures each step is well-documented and assigned, supporting complex automations in FlowHunt.

See Sequential Task

Structured Output Generator

The Structured Output Generator component lets you create precise, structured data from any input prompt using your chosen LLM model. Define the exact data fields and output format you want, ensuring consistent and reliable responses for advanced AI workflows.

See Structured Output Generator

Merge Data

Combine multiple data sources effortlessly with the Merge Data component in FlowHunt. This versatile block collects and merges input data, streamlining workflows that require unified information handling.

See Merge Data

Create Data

The Create Data component enables you to dynamically generate structured data records with a customizable number of fields. Ideal for workflows that require the creation of new data objects on the fly, it supports flexible field configuration and seamless integration with other automation steps.

See Create Data

Sequential Crew

Experience organized workflow automation with the Sequential Crew component in FlowHunt. This component allows you to group multiple agent tasks and execute them one after another, making it ideal for processes that require clear, step-by-step task processing.

See Sequential Crew

Iterator

The Iterator component in FlowHunt automates repetitive tasks by executing a subflow or external flow for each item in a list. Ideal for batch processing, data enrichment, or applying the same logic to multiple inputs, it supports customizable concurrency and advanced options for flexible workflow automation.

See Iterator

Run Flow

The Run Flow component in FlowHunt lets you trigger and execute another workflow within your current flow. Pass inputs, variables, and control how flows interact, enabling modular and reusable automation. Ideal for chaining workflows or using flows as tools.

See Run Flow

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

Message Widget

The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.

See Message Widget

Custom Trigger

Unlock custom workflows with the Custom Trigger component in FlowHunt. This component allows users to define specific trigger points within their flow, enabling tailored actions based on custom events or inputs. Essential for building interactive and flexible automation workflows.

See Custom Trigger

Flow description

Purpose and benefits

The Youtube Blog Generator is an advanced automated workflow designed to transform YouTube videos—specifically podcasts—into high-quality, SEO-optimized blog posts. It leverages AI agents, SEO tools, and content structuring mechanisms to automate the entire content creation process from video URL input to finalized blog sections ready for publishing.

Workflow Overview

The workflow automates the following core steps:

User Input & Initiation
Extraction & Structuring of YouTube Content
SEO Research and Brief Generation
Blog Content Generation
Section-by-Section Blog Assembly
Output and Display

This enables you to scale blog production from YouTube content with minimal manual intervention while ensuring each post is optimized for search visibility.

Step-by-Step Process

1. User Input & Welcome

The process begins when a user opens the chat interface and is greeted by a welcome message prompting them to provide a YouTube video URL.
The user submits a YouTube video link, which triggers the workflow.

2. Content Extraction

The workflow retrieves the transcript and content from the submitted YouTube URL using a URL content retriever.
This transcript serves as the foundational material for subsequent steps.

3. SEO Analysis & Keyword Research

Google Search and Keyword Research tools are automatically engaged:
- GoogleSearchVolume: Gathers search volume, cost-per-click, competition, and trends for keywords.
- GoogleKeywordsForKeyword: Finds related keywords to maximize search engine optimization.
These tools supply data to AI agents responsible for developing an SEO-focused content brief.

4. AI-powered Content Brief Generation

An AI Agent with an SEO content strategist persona uses the transcript and SEO data to generate a detailed content brief:
- Outlines each blog section based on podcast topics.
- Suggests high-search-volume keywords for each section.
- Provides instructions for tone, focus, and secondary keywords.

5. Structured Blog Creation

The workflow uses a Structured Output Generator and prompt templates to define and organize each blog section.
For each section:
- The AI summarizes the necessary transcript content tailored to that section.
- Another AI agent (expert copywriter) writes the actual section copy, adhering to the brief and focusing on chosen keywords.
An Iterator executes this process for each section, allowing parallel or sequential processing of multiple sections.

6. Assembly & Output

All generated sections are merged and compiled into a cohesive blog post.
The final output is displayed in the chat interface, ready for review or publication.

Key Components and Their Roles

Component	Purpose
Chat Input/Output	Receives video URL from user and displays results.
Message Widget	Welcomes user and guides them through the process.
URL Retriever	Extracts transcript/content from the YouTube video.
Google Search/Keyword Tools	Performs SEO research to identify best keywords and topics.
AI Agents	Specialized personas for SEO brief creation, summarization, and copywriting.
Prompt Templates	Guide AI agents in structuring briefs, summaries, and blog copy.
Structured Output Generator	Formats and organizes the blog sections.
Sequential Tasks & Crew	Manage the order and execution of various tasks (briefing, summarizing, writing).
Iterator	Processes each blog section individually, enabling scalability and modularity.
Merge Data	Aggregates section outputs into one final blog post.

Why This Workflow is Valuable

Scalability: Automates the transformation of multiple YouTube videos into SEO-optimized blogs without manual bottlenecks.
SEO Effectiveness: Integrates real-time keyword research and competition analysis to maximize organic reach.
Consistency: Ensures each blog follows a structured outline and adheres to best copywriting and SEO practices.
Quality: Employs expert AI agents for both information summarization and copywriting, producing engaging, informative content.
Modularity: Each blog section is generated independently, allowing for easy updates, parallel processing, or reuse.

Example Use Cases

Content Agencies: Rapidly scale content production from podcasts or video interviews.
Solo Bloggers: Turn favorite YouTube content into written posts with minimal effort.
Corporate Marketing: Repurpose video/webinar content into discoverable, value-driven articles.
SEO Specialists: Create keyword-rich blog posts that strategically target trending topics and search intent.

Automation Flow Summary

User submits YouTube URL →
Transcript is extracted →
SEO research is performed →
AI generates a content brief →
Blog is structured into sections →
Each section is summarized and written →
Sections are merged into a complete blog →
Final blog is displayed/outputted.

By automating these steps, the Youtube Blog Generator provides an end-to-end solution for repurposing video content into high-impact, SEO-optimized written material—saving time, improving quality, and boosting search visibility.

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