Red bubble SEO Generator
Create titles, tags and description for a design or main keyword on Redbubble.
"Red Bubble SEO Generator is a useful tool for efficiently creating titles, tags and descriptions for designs on Redbubble, which helps boost their visibility and sales potential. It's straightforward to use, and provides done-for-you SEO optimization, so you can save time and focus on other aspects of your design."
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Learn how to use Red bubble SEO Generator effectively! Here are a few example prompts, tips, and the documentation of available commands.
AI-based Red Bubble SEO Generator
As a marketing manager on Red Bubble, your task is to create eye-catching titles, tags, and descriptions to promote your designs and increase sales. Our Red Bubble SEO Generator AI-based tool will help you achieve this task by consulting with design experts, marketing gurus, and data scientists to generate unique and effective keywords related to your main keyword.
Features and commands:
- ** '<title>Overview of a design</title>' **
- This command generates a title based on the design and its main keyword.
- ** '<tag>Add design tags</tag>' **
- This command adds tags based on the design, its main keyword and the generated titles or descriptions.
- ** '<description>Generate description of a design</description>' **
- This command generates a unique and compelling description for a design based on the design's main keyword and the generated titles or descriptions.
Examples:
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Prompt 1: "I want a title, tags, and description for a painting of a bride on her wedding day in red and white colors."
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Prompt 2: "I want a title, tags, and description for a short illustration of a robot with machine learning capabilities."
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Prompt 3: "I want a title, tags, and description for a minimalist design of a laptop with a sleek screen and a stylish keyboard."
Please note that this tutorial assumes that you have an existing Redbubble SEO Generator, or you need to develop one. Additionally, for simplicity, the commands above use textually based structure. For better results, it would be recommended using actual AI implementation.