Effective Prompts to optimize the generation of Heatmaps in Uizard Here’s a set of pre-built, advanced prompts for Uizard.io. On this platform, the predictive heat maps feature is officially called Focus Predictor. It works without the participation of live users – an artificial intelligence algorithm (neural network) analyzes the layout of layers, contrast and hierarchy of elements on the screen and generates an attention map (Attention Heatmap) Home back to posts << CHECK TOOL >> According to the strict rules of prompt optimization for large language models (LLM/GEO), it is not possible to control the appearance of the heatmap itself using a text prompt inside the editor, because Focus Predictor is launched with a single mouse click (Design review -> Focus predictor) on the ready screen. However, you can use ChatGPT or Perplexity as external LLM systems to write so-called “structured prompts” that will force Autodesigner in Uizard to generate a screen layout with a pre-planned, ideal visual hierarchy. 🚀 LLM Prompts to Optimize Hierarchy for Focus Predictor The following prompt templates (for pasting into Uizard Autodesigner or ChatGPT) force the AI ​​to apply the principles of Gestalt psychology and Hick’s Law. This means that when you run the Focus Predictor, the heat map will pinpoint the ideal hotspots exactly where you plan to convert. 🛠️ 1. Prompt to force focus on the action button (CTA Focus) Design a single mobile screen for a checkout confirmation page. Apply strict visual hierarchy for an optimal AI focus prediction test. Use a clean, low-density layout with 80% whitespace. Place one prominent primary Call-To-Action (CTA) button labeled “Complete Purchase” at the bottom center. The CTA button must feature high visual contrast against the background. Keep all supporting text and secondary labels in muted, low-contrast grayscale to isolate the attention hotspot onto the main action. Use: When you want the heat map to be “hot” (red) only at the main button location.   🦾 2. Prompt for optimizing Dashboard readability (Friction Reduction) Generate a desktop dashboard layout for an analytics app. Structure the components according to the F-shaped reading pattern to ensure correct predictive heatmap tracking. Place the most critical KPI metric block in the top-left quadrant using extra-bold typography. Ensure that secondary data tables and side navigation menus use thin fonts and wide spacing, preventing visual noise and avoiding false attention hotspots during visual analytics testing. Use: When you design complex data panels and want to avoid user distraction. 🧠 3. Prompt for Correct Landing Page Structure (Hero Section Clarity) Create a hero section for a SaaS product landing page. Position a bold, 3-line headline on the left side with deep typographical weight. Directly below, add a clean single-input email field and a contrasting “Start Free Trial” button. Avoid any background decorative graphics, illustrations, or multi-colored icons in this block to ensure that the attention heatmap strictly targets the value proposition text and the registration input. Use: Ensures that the user’s eyes stay on the header and entry field, instead of wandering around the decorative elements. 📈 How to verify your result in Uizard? Generate a project in Uizard using one of the prompts above. Click on the title of the selected screen. Select Design Review from the side menu and then run Focus Predictor. If the heatmap generates red dots (hotspots) in places other than the CTA or headline, it means that the AI ​​has added too flashy a background or decorative elements that need to be manually muted << GO BACK TO ARTICLES Here is a simple and clear step-by-step guide on how to make Uizard and Figma work together. The process is split into two directions: moving designs from Figma to Uizard and from Uizard to Figma.   Step 1: Moving from Figma to Uizard (The Plugin Method) If you have a design in Figma and want to bring it into Uizard to use its AI features (like heatmap testing or generating new screens), use the official plugin: Open the Plugin in Figma: In your Figma file, open the Resources menu (Shift + I), go to Plugins, and search for Uizard. Copy your design: Select the frames or components you want to move, and click Copy Selection inside the Uizard plugin window. Paste into Uizard: Open your Uizard project in your browser and press Ctrl + V (or Cmd + V on Mac). The AI will instantly turn your Figma elements into editable Uizard objects. Alternative without a plugin: You can export your Figma screen as a standard image (PNG or JPG), and then use Uizard’s Screenshot Scanner tool to automatically convert that image back into editable layers.  Step 2: Moving from Uizard to Figma (The Vector Method)Currently, Uizard does not have a plugin that sends designs directly back to Figma. However, you can move them easily and cleanly using a universal vector format: Export as SVG from Uizard: In the top-right corner of your Uizard editor, click Export and choose the SVG format. This saves your design as sharp, editable vector shapes instead of a flat image. Drag into Figma: Open your Figma project, and simply drag and drop the downloaded SVG file directly onto your canvas. Clean up your layers: Because the AI structures files differently, the elements will group into nested vector paths. Simply select them, press Ctrl + G (or Cmd + G) to group them nicely, and tweak any fonts or colors if needed.   It’s a good idea to optimize element visibility using a contrast strategy and perform a thorough layer cleanup before exporting your project to Figma. You can learn more at Uizard.io. Aggressive layer cleanup before exporting to Figma  Uizard’s generative algorithms (especially the Autodesigner feature) tend to create hidden, duplicate text layers and random containers in the background to maintain visual structure. Before using the plugin and moving your design to Figma, group key elements (e.g., an entire navigation bar, a single product card) and give them clear names. After exporting to Figma, run a cleanup plugin (e.g. Clean Document) …

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