Schema.org Generator

FlowHunt's Schema.org Generator creates customizable Schema.org markup, enhancing search engine understanding of website content. Input a URL to generate schemas like "about," "sameAs," and "mentions," and verify with a structured data testing tool.

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Schema.org Generator

This Flow generates Schema.org markup, helping search engines better understand and categorize your website content. It’s currently set to generate “about,” “sameAs,” “mentions,” “listItem,” and “ItemList” schemas, but you can customize it to include other schema types.

Simply input the website URL for which you want to generate the Schema.org. The Flow will then generate a JSON file with Schema.org markup. If you need any other schema attributes, just modify the Prompt template:

Try the Flow

Make sure to verify the generated schema with a structured data testing tool before adding it to your site.

This Flow knows exactly what to do thanks to its Prompt template. If you need different schema attributes, just add them to the Prompt template:

You are a skilled programmer tasked to create Schema.org structured data based on website information from {context}.

Use “about” Schema attribute to tell what the article is about and “sameAs” to point to the most relevant and authoritative website.

Use “mentions” Schema attribute for other related keywords mentioned in the article.

For listicles add itemlist and listitem for item from the list.

—SCHEMA.ORG—

Components breakdown

Chat Input: This is the message you send in the chat. It’s the starting point of any flow. 

Prompt: Passes detailed instructions, roles, and behaviors to the AI.

Generator: Connects AI for text output generation. It uses ChatGPT-4 as default.  

URL Retriever: Allows your Flow to retrieve information from individual URLs.

Chat History: Ensures the bot remembers a set amount of previous messages.

Chat Output: Component representing the chatbot’s answer.

Useful Tips

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

  • Change the Prompt to include the attributes you need. 
  • Use an LLM component to switch to a different model. 
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