AI Google Ads Generator Template

Generate 10 high-quality Google Ads effortlessly with FlowHunt's AI Google Ads Generator. Input a URL, and AI optimizes creativity and keywords for compelling ads. Customize with prompt templates and components for tailored results.

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AI Google Ads Generator Template
Flow using URL Retriever component

Crafting the perfect Google Ad means balancing creativity and functionality in a very limited space. On top of it, there’s a host of strict guidelines and best practices you need to keep in mind. That’s where our AI Google Ads generator comes into play.

This template will generate 10 high-quality Google ads based on a single URL. Simply paste in the URL and let AI take care of the rest. By analyzing countless successful ads and understanding what resonates with audiences, AI ensures your ads will be both catchy and use the right keywords effectively.

Try the chatbot:

This template generates Google Ad copy thanks to its Prompt template message. The Prompt allows you to give AI task instructions, roles, and behaviors. Feel free to adjust it according to your needs.

Here’s what the Prompt for this template says by default:

“You are professional Google ads Ad copywriter.
Analyze input document representing url {input} and generate 10 version of Ad for Google Ads.
Ad text should have same language a analyzed document.

— DOCUMENT START
{context}
— DOCUMENT END

10 versions of Google ads ad:”

Components breakdown

  • Chat Input: This is the message you send in the chat. It’s the starting point of any flow.
  • URL Retriever: Allows your Flow to retrieve information from individual URLs.
  • Prompt: Passes detailed instructions, roles, and behaviors to the AI.
  • Generator: Connects AI for text output generation. It uses ChatGPT-4 as default.
  • Chat Output: Component representing the chatbot’s answer.

Useful tips

There are several ways you can adjust and improve this flow:

  • Change the Prompt template to reflect your exact needs.
  • Use an LLM component to switch to a different LLM model.
  • Experiment with Retrievers to specify knowledge sources for summarization.
  • Connect Chat History to let previous messages give context to later summaries.
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