Trending Topics Research Assistant

Discover what people are talking about online around your chosen keyword. This AI-powered workflow researches trending or related topics from recent internet discussions, gathering insights from Google search results and website content to help you expand your content strategy or market research.

Flows

How the AI Flow works

User inputs or selects a keyword.: The user enters a keyword or selects a suggested topic to analyze.
Search for trending discussions.: The workflow uses Google Search to find recent web pages and discussions related to the keyword.
Retrieve online content.: The content of relevant URLs is gathered to provide more context and data around the keyword.
AI analyzes and summarizes insights.: An AI agent reviews the collected content and online discussions, identifying trending or related topics.
Present summary to user.: A concise summary of the most discussed topics and trends is displayed to the user for strategic insights.

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.

Trending/Related Topics Summarization Agent

Agent that summarizes trending or related topics discussed online for a given keyword, using LLM with a custom system prompt.

                Provide a summary of trending or related topics that people are currently discussing in connection to the keyword '[input keyword]'. Retrieve information no older than 48 hours. Gather insights from various sources to highlight relevant subjects, helping expand my content strategy or research focus.

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

Button Widget

The Button Widget component in FlowHunt transforms text or input into interactive, clickable buttons within your workflow. Perfect for creating dynamic user interfaces, collecting user choices, and improving engagement in AI-driven chatbots or automated processes.

See Button Widget

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

Chat Opened Trigger

The Chat Opened Trigger component detects when a chat session starts, enabling workflows to respond instantly as soon as a user opens the chat. It initiates flows with the initial chat message, making it essential for building responsive, interactive chatbots.

See Chat Opened Trigger

Chat History Component

The Chat History component in FlowHunt enables chatbots to remember previous messages, ensuring coherent conversations and improved customer experience while optimizing memory and token usage.

See Chat History Component

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

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

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 is designed to help users quickly discover the most relevant and trending topics people are discussing online, specifically in relation to any input keyword. It provides an interactive chat-based experience that summarizes up-to-date conversations and associated topics, supporting research, content strategy, and trend analysis.

How the Workflow Operates

1. User Interaction & Onboarding

When a user opens the chat interface, they are greeted by a welcome button widget. This widget displays an introduction and prompts the user to enter a keyword of interest. The onboarding message explains that the tool will surface recent discussions and trends related to the user’s keyword, helping them gain a broader perspective.

2. Pre-Set Example Keywords

The interface includes quick-access buttons for popular example keywords such as:
- Artificial Intelligence
- Electric Cars
- Gaming
Clicking any of these buttons triggers a sample query, showing users how the tool works and providing instant insights about these topics.

3. Custom Keyword Entry

Users can also enter their own keyword of interest into a chat input field. This launches a custom search and analysis process for that specific topic.

4. Data Collection & Enrichment

Behind the scenes, the workflow leverages multiple tools to gather relevant, real-time data:
- Google Search Tool: Retrieves the latest URLs and web content associated with the input keyword.
- URL Retriever: Fetches and extracts content from those URLs, making it accessible for deeper analysis.
- Chat History: Maintains memory of previous interactions to enable context-aware summaries and follow-up queries.

5. Intelligent Aggregation & Summarization

A Tool Calling Agent orchestrates the retrieval and aggregation of information. It is guided by a system message instructing it to:
- Summarize trending or related topics people are discussing online about the input keyword.
- Restrict information to insights no older than 48 hours, ensuring timeliness.
- Gather and synthesize insights from various online sources.
- Present these findings in a way that helps users expand their content strategies or research focus.

6. Output Delivery

The agent’s response is sent back to the chat interface, where the user receives a concise, up-to-date summary of hot topics, ongoing debates, and emerging trends linked to their keyword.
The interface ensures that whether the user chooses a preset button or enters a custom keyword, the experience and output remain consistent and user-friendly.

Workflow Structure Summary

Step	Functionality
Chat Opened Trigger	Starts the onboarding and displays example keyword buttons
Button Widgets	Provide one-click topic exploration for preset keywords
Chat Input	Lets users enter custom keywords for tailored insights
Google Search & URL Retriever	Collects current online discussions and articles about the keyword
Tool Calling Agent	Aggregates info and generates a summary focused on recent trends
Chat Output	Presents results in a chat-friendly, readable format

Why This Workflow Is Useful

Scalability: The automated process can handle multiple keywords and users simultaneously, making it ideal for content teams, marketers, researchers, and anyone tracking emerging conversations.
Time-saving: Instead of manually searching for trends and reading through multiple sources, users get a synthesized summary in seconds.
Automation: The workflow combines search, retrieval, and AI-powered summarization, automating a research task that would otherwise require significant manual effort.
Contextual Awareness: Memory of previous queries allows for smarter, more context-aware interactions, supporting follow-up questions or deeper dives into particular subtopics.
Content Strategy: By revealing what’s trending around a topic, content creators and strategists can identify gaps, opportunities, and audience interests.

Practical Use Cases

Content ideation: Find out what’s hot around your niche and brainstorm new article or video topics.
SEO research: Discover related queries, controversies, or emerging subtopics that can enhance keyword targeting.
Market analysis: Stay updated on what consumers and experts are saying about products, technologies, or industries.
Social listening: Quickly gauge the tone, sentiment, and volume of discussion around a brand or issue.

In summary, this workflow provides a powerful, automated way to stay on top of online discussions, making trend tracking and topic research effortless and scalable.

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