AI Page Title Generator

Generate unique, SEO-optimized web page titles using AI and live Google search data. Enter your target keywords and receive a high-ranking title suggestion tailored to current search results.

Flows

How the AI Flow works

User Keyword Input.: User enters the keywords they want to rank for.
Keyword Expansion.: The workflow expands the input keywords into related search queries for broader coverage.
Google Search Results Retrieval.: Performs a Google search using the expanded queries and retrieves relevant content and URLs.
AI Title Generation.: An AI model processes the search results and input keywords to generate a unique, SEO-friendly page title.
Display Generated Title.: The AI-generated web page title is presented to the user for 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

Creates a prompt for generating a web page title based on Google Search results and the user's input keyword, with instructions for an LLM.

                You are an AI language model assistant tasked with generating a title according to results from Google Search. Your task is to provide a title based on the INPUT keyword, considering GoogleSearch results. The title should be a maximum of 60 characters long. Respect the language used in the Google Search results.

---GOOGLE SEARCH RESULTS FOR KEYWORD
 {context} 
---

--- INPUT KEYWORD
{input}
---

GENERATE PAGE TITLE:

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

Query Expansion

Query Expansion in FlowHunt enhances chatbot understanding by finding synonyms, fixing spelling errors, and ensuring consistent, accurate responses for user queries.

See Query Expansion

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

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

LLM OpenAI

FlowHunt supports dozens of text generation models, including models by OpenAI. Here's how to use ChatGPT in your AI tools and chatbots.

See LLM OpenAI

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

Flow description

Purpose and benefits

This workflow automates the process of generating unique, high-ranking page titles for web pages, based on input keywords. By leveraging Google Search results and an advanced AI language model, it creates SEO-optimized titles tailored to your target keywords. This is highly useful for content creators, SEO specialists, and digital marketers who need to scale content production and ensure their pages stand out in search engine results.

Workflow Overview

The workflow is structured to take user input (the keywords you want your page to rank for), expand on those keywords, analyze real-time Google search results, and generate an attention-grabbing, SEO-friendly title. The process is interactive and can be triggered via a chat interface or by clicking example buttons.

Step-by-Step Process

User Input & Triggers
- The user can enter keywords directly via a chat input or click on predefined example buttons (e.g., “sustainable fashion tips,” “AI tools,” “History of Slovakia”).
- When the chat is opened, the workflow presents these button options to guide the user.
Query Expansion
- The entered keywords are paraphrased into up to 3 alternative queries. This broadens the scope and ensures the search will cover various semantic interpretations of the user’s intention.
Google Search Integration
- Each expanded query is used to search Google in real time.
- The workflow retrieves the top 10 URLs and their content for each query. This ensures the title generator is grounded in what’s currently ranking and relevant.
Prompt Construction
- The workflow creates a dynamic prompt that includes:
  - The original input keywords
  - The compiled Google Search results
  - Instructions for the AI to generate a title no longer than 60 characters and to respect the detected language.
- This prompt is carefully structured to provide the AI with both user intent and context from real search results.
AI Title Generation
- The prompt, along with the model (OpenAI’s o1-preview), is sent to a text generator node.
- The AI processes the information and generates a unique, concise, and SEO-friendly page title.
Output Delivery
- The generated title is displayed back to the user via the chat interface.

Example User Journey

Step	User Action/Input	System Response
1. Chat Opens	-	Presents buttons: “sustainable fashion tips”, etc.
2. Input Keywords	“AI tools” (typed or click)	Confirms input selection
3. Expansion	(automatic)	Generates alternative queries
4. Google Search	(automatic)	Retrieves top 10 search results per query
5. Title Generation	(automatic)	AI creates an optimized page title
6. Output	-	Displays the title to the user

Key Components

Interactive UI: Uses chat triggers and button widgets for easy user interaction.
Semantic Query Expansion: Boosts search effectiveness by covering keyword variations.
Live Google Search: Ensures that generated titles reflect current trends and top-ranked content.
Dynamic Prompting: Combines user input and contextual web data for the AI.
AI-Powered Generation: Utilizes OpenAI’s language model for high-quality, creative output.

Benefits and Use Cases

Scalability: Automates title creation for hundreds or thousands of pages, saving manual effort.
SEO Optimization: Titles are based on what is currently ranking, increasing the likelihood of better search performance.
Consistency: Ensures all page titles follow best practices (length, relevance, language).
Adaptability: Easily adjust for different topics or languages by changing input keywords.

Why Is This Useful?

Creating catchy, SEO-friendly page titles is critical for digital content success but can be tedious and error-prone at scale. This workflow brings together best-in-class automation and AI, ensuring that every page gets a unique, data-driven, and optimized title with minimal human intervention. It’s ideal for agencies, large websites, and anyone looking to streamline and enhance their content production workflow.

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