The core feature uses machine learning to analyze a webpage's structure and content, then generates a visual heatmap overlay predicting where users will click, scroll, and focus.
The heatmap tool is built directly into the Zyro drag-and-drop website editor, allowing users to generate and view heatmaps without leaving their design workspace.
Beyond simple click maps, the tool predicts visual attention and scroll depth, using color gradients to show which areas of the page will capture and hold user gaze.
The AI model considers specific design elements like button shapes, text size, image placement, and color contrast when generating its behavioral predictions.
Users can quickly make a design change based on a heatmap, then run a new analysis on the updated layout to see how the predicted user behavior shifts.
A startup founder uses the AI Heatmap while designing their product launch landing page in Zyro. The tool predicts that the sign-up form is in a low-attention zone. They immediately reposition it to a red 'hot' area indicated by the heatmap. This pre-launch optimization helps maximize conversion rates from day one, ensuring valuable early visitor traffic is effectively captured without the delay of collecting post-launch analytics.
An online store owner redesigning a product page uses the heatmap to evaluate the placement of the 'Add to Cart' button, product images, and customer reviews. The AI highlights that reviews are getting predicted attention but the price is not. The owner makes the price more prominent and moves the cart button, creating a layout designed to guide the customer journey from interest to purchase more effectively before the page goes live.
A freelance consultant or small agency building a service website uses the heatmap to ensure their contact information and call-to-action (e.g., 'Book a Consultation') are in high-predicted engagement areas. By analyzing the heatmap on their 'Services' and 'About' pages, they can structure content to lead visitors naturally toward making contact, improving lead generation from their professional site.
A blogger or creative professional uses Zyro to build a content-heavy site. The AI Heatmap helps them understand how visitors are likely to scroll through long articles or portfolio galleries. They can use this to strategically place 'read more' breaks, key takeaways, or highlight important work samples in areas predicted to receive the most visual focus, enhancing content engagement and reducing bounce rates.
A user designing a responsive website switches to the mobile view within the Zyro editor and runs the AI Heatmap. The tool predicts interaction patterns specific to the smaller screen, such as thumb-friendly tap zones and scrolling behavior. This allows the designer to optimize button sizes, menu placement, and content hierarchy for mobile users proactively, ensuring a user-friendly experience across all devices from the initial launch.
Sign in to leave a review
15Five operates in the people analytics and employee experience space, where platforms aggregate HR and feedback data to give organizations insight into their workforce. These tools typically support engagement surveys, performance or goal tracking, and dashboards that help leaders interpret trends. They are intended to augment HR and management decisions, not to replace professional judgment or context. For specific information about 15Five's metrics, integrations, and privacy safeguards, you should refer to the vendor resources published at https://www.15five.com.
20-20 Technologies is a comprehensive interior design and space planning software platform primarily serving kitchen and bath designers, furniture retailers, and interior design professionals. The company provides specialized tools for creating detailed 3D visualizations, generating accurate quotes, managing projects, and streamlining the entire design-to-sales workflow. Their software enables designers to create photorealistic renderings, produce precise floor plans, and automatically generate material lists and pricing. The platform integrates with manufacturer catalogs, allowing users to access up-to-date product information and specifications. 20-20 Technologies focuses on bridging the gap between design creativity and practical business needs, helping professionals present compelling visual proposals while maintaining accurate costing and project management. The software is particularly strong in the kitchen and bath industry, where precision measurements and material specifications are critical. Users range from independent designers to large retail chains and manufacturing companies seeking to improve their design presentation capabilities and sales processes.
3D Generative Adversarial Network (3D-GAN) is a pioneering research project and framework for generating three-dimensional objects using Generative Adversarial Networks. Developed primarily in academia, it represents a significant advancement in unsupervised learning for 3D data synthesis. The tool learns to create volumetric 3D models from 2D image datasets, enabling the generation of novel, realistic 3D shapes such as furniture, vehicles, and basic structures without explicit 3D supervision. It is used by researchers, computer vision scientists, and developers exploring 3D content creation, synthetic data generation for robotics and autonomous systems, and advancements in geometric deep learning. The project demonstrates how adversarial training can be applied to 3D convolutional networks, producing high-quality voxel-based outputs. It serves as a foundational reference implementation for subsequent work in 3D generative AI, often cited in papers exploring 3D shape completion, single-view reconstruction, and neural scene representation. While not a commercial product with a polished UI, it provides code and models for the research community to build upon.
