AI Content Idea Generator

Generate unique content ideas and summaries using AI by researching top Google results for any keyword. Ideal for content marketers and creators to quickly discover trending topics and avoid repetitive suggestions.

How the AI Flow works - AI Content Idea Generator

How the AI Flow works

User provides a keyword

The user enters a keyword or topic they want content ideas for.

Google search for top links

The workflow searches Google for relevant URLs based on the user’s keyword.

Retrieve content from URLs

The workflow extracts key content and context from the top search results.

Generate unique content ideas

An AI model analyzes the gathered content and creates original topic ideas and summaries, avoiding repetition from previous outputs.

Present ideas to user

The generated content ideas and summaries are displayed to the user for inspiration or direct use.

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.

Prompt

Prompt template used to instruct the LLM to generate unique and detailed content ideas based on input, chat history, and optional context, while enforcing a spe...

                You are an AI language model assistant tasked with generating content ideas based on web searches of the product or URLs, while avoiding repeating ideas from previous articles.

Focus on detailed information. Don't use phrases like "In todays fast changing world...", "In today's complex...", "is a crucial step", "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.

Your task is to provide unique content suggestions based on INPUT, considering any previous discussion in CHAT HISTORY. 

If CONTEXT is provided, use it to enhance the relevance of your suggestions. 

Answer in English and format the answer with markdown. 

Additionally, assist the user by suggesting related topics or trends as requested.  

*** CONTEXT START ***
{context}
***

*** CHAT HISTORY ***
{chat_history}
***

INPUT:
{input}

ANSWER:

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.

Flow description

Purpose and benefits

Content Idea Generator: Human-Readable Workflow Description

Overview

The “Content Idea Generator” workflow is designed to automate the process of generating unique content topics and concise summaries based on a user’s keyword or subject of interest. It leverages real-time web search, content extraction from URLs, and an AI language model to provide high-quality, non-repetitive content ideas. This workflow is especially useful for content creators, marketers, bloggers, or researchers aiming to scale topic ideation and ensure their content remains fresh and relevant.

Step-by-Step Workflow

1. User Input & Welcome Interface

  • Chat Opened Trigger: When the user opens the chat, a welcome message and instructions are displayed via a Button Widget. Example buttons like “I want to write about chatbots” or “I want to write about Transformer models” are shown to guide the user.
  • Manual Input Option: The user can also type a custom keyword or topic through a chat input field.

2. Web Search & Content Gathering

  • Google Search Node: Once the user submits a keyword, the workflow performs a Google search for relevant URLs and content on the topic.
  • URL Retriever: The workflow fetches the actual content from the list of URLs returned by the search. This ensures the AI has up-to-date, context-rich information to work with.

3. Contextual Awareness

  • Chat History Node: Maintains a history of previous interactions, so the AI avoids repeating ideas and can reference past discussions.
  • Context Compilation: The content extracted from URLs is assembled and prepared as “context” for prompt generation.

4. Dynamic Prompt Generation

  • Prompt Template Node:
    • A specially crafted prompt template is used, taking into account the user input, content from recent web searches, chat history, and any additional context.
    • The prompt is strict about avoiding generic or cliché phrases, ensuring the generated suggestions are direct, detailed, and valuable.
    • The AI is instructed to answer in English and format results using Markdown for easy readability.
    • If requested, the AI can also suggest related topics and trends.

5. AI Content Generation

  • Generator Node: The AI model receives the formatted prompt and generates a list of unique content ideas along with brief summaries, all informed by the latest web-sourced context and previous chat history.

6. Output & User Interaction

  • Chat Output Nodes: The generated content ideas and summaries are displayed to the user in the chat interface, ready to be reviewed or used for further content development.

Workflow Structure (Simplified Table)

StepComponentPurpose/Action
1. Chat TriggerChatOpenedTriggerWelcomes user, displays example topic buttons
2. User InputChatInput, ButtonsUser enters or selects topic
3. SearchGoogleSearchFinds relevant URLs for user topic
4. Content FetchURLRetrieverExtracts content from top URLs
5. Context MemoryChatHistoryFeeds previous chat to avoid repeats
6. PromptingPromptTemplateMerges input, context, and history into a tailored prompt
7. GenerationGeneratorAI generates topic ideas and summaries
8. Display OutputChatOutputShows results to user in chat

Why This Workflow is Useful for Scaling & Automation

  • Automates Research: Instantly searches the web and retrieves current information, saving hours of manual work.
  • Ensures Uniqueness: Remembers previous ideas and avoids repeating them, helping maintain content originality across large-scale campaigns.
  • Consistent Quality: Uses a rigorously defined prompt to ensure concise, on-topic, and actionable suggestions, minimizing fluff or generic statements.
  • Flexible Input: Supports both button-based quick starts and custom keyword input, adapting to different user needs or workflows.
  • Ready for Integration: The modular structure allows for easy integration into larger content pipelines or automation systems.

Ideal Use Cases

  • Content Teams: Quickly generate new article or video topics at scale, informed by the latest online trends and discussions.
  • SEO & Marketing: Discover fresh angles and keyword-rich topics based on live search data.
  • Research & Academia: Identify potential research topics or literature review angles with up-to-date context.
  • Product or Service Launches: Brainstorm unique content ideas for new product announcements, using real-world context and competitor analysis.

Conclusion

This workflow streamlines and supercharges the content ideation process by combining live data gathering, intelligent prompt engineering, and AI-powered generation. It is particularly valuable for anyone aiming to automate, scale, and improve the quality of content topic generation while ensuring each suggestion is relevant and up-to-date.

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