Categories
- Account
- What does one credit count as?
- What is a credit?
- Why can’t I remove a user from my company’s account?
- How do I remove a user from my company’s account?
- I have more questions. How can I reach you?
- Can I delete my account?
- What does one design test count as?
- Do credits reset every month?
- How do I keep track of my remaining credits?
- How can I manage seats on my team?
- Features
- What is the visibility benchmark?
- What is Video Testing – A Short Guide
- What are AI recommendations?
- What is the Focus score and how to interpret it?
- What is a Contrast map?
- What is a Focus map, and how to interpret it?
- What is the best Clarity score?
- How are the heatmaps generated by AI?
- What is an AI-generated attention heatmap?
- What is the difference between Areas of Interest and Percentage of Attention?
- How do I interpret Clarity Score?
- How do I define Areas of Interest?
- How do I interpret Percentage of Attention?
- What makes Attention Insight different from other heatmaps?
- Functionality
- Why can’t I draw Areas of Interest below the fold?
- Can I get separate heatmaps for different demographic groups?
- Does Attention Insight provide design recommendations?
- Can I analyze more than one image or URL at a time?
- Can I analyze mobile designs?
- Why does Attention Insight analyze a website above the fold when you load a URL?
- Getting Started
- Plugins
- Attention Insight and Zapier integration – Adding shareable links to the heatmap analysis results in Google Sheets
- Generate Attention Heatmaps on all image files in Google Drive folder
- How to install Photoshop plugin?
- How to generate heatmap using Photoshop plugin?
- How to install Sketch plugin?
- How to generate heatmap using Sketch plugin?
- How to install Figma plugin?
- How to generate a heatmap with Figma plugin?
- How to generate heatmap with Adobe XD plugin?
- How to install Adobe XD plugin?
- Use cases
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What are AI recommendations?
AI recommendations are generated by a generative artificial intelligence algorithm and tailored specifically to the design you analyzed. These recommendations are synthesized by a Vision LLM model that evaluates your uploaded design and provides recommendations for enhancing attention optimization, color, and contrast.
Please note that the accuracy of these recommendations may vary from one case to another. There might be minor inaccuracies in the design descriptions. Hence, we kindly ask you to rate our AI recommendations to assist in their improvement.
How many credits does generating AI recommendations consume?
Generating one set of AI recommendations consumes one credit.
Currently, we offer two types of AI recommendations:
- Attention distribution optimization (‘How to optimize attention?’)
- Color and contrast optimization (‘How to improve colors and contrast?’)
By selecting either option, you initiate the creation of these tailored AI recommendations. Once generated, they are stored and can be accessed anytime later without incurring extra charges. These stored recommendations are indicated by a white checkmark within a blue circle on the button.
Furthermore, by requesting AI recommendations, you consent to having your design or image sent to an external service for more detailed analysis. Rest assured, your designs are not used for training AI models.
Related Knowledgebase
- What is the visibility benchmark?
- What is Video Testing – A Short Guide
- What is the Focus score and how to interpret it?
- What is a Contrast map?
- What is a Focus map, and how to interpret it?
- What is the best Clarity score?
- How are the heatmaps generated by AI?
- What is an AI-generated attention heatmap?
- What is the difference between Areas of Interest and Percentage of Attention?
- How do I interpret Clarity Score?
- How do I define Areas of Interest?
- How do I interpret Percentage of Attention?
- What makes Attention Insight different from other heatmaps?