How to Create High-Converting Designs with Claude
Anthropic's new Design tab in Claude is a powerful tool for marketers and designers. Instead of starting from scratch, you can use detailed Claude Design prompts to generate professional assets quickly. Here’s a consolidated guide based on recent examples.
Step-by-Step Guide for a Landing Page
Creating a high-converting landing page is a common marketing need. This workflow combines clear instructions with visual examples to guide the AI.
Navigate to `claude.ai/design` and select the wireframe option.
Provide a clear brief. State who the page is for, what you are selling, and the primary action a visitor should take.
Find and screenshot a landing page you admire for its structure or style. You can also screenshot elements from high-traffic sites like Amazon or eBay.
Upload these screenshots and instruct Claude to create four variations of a mockup based on your brief and the visual examples. Be prepared to answer a few follow-up questions.
Once generated, you can click on any element to leave feedback, such as 'rewrite this CTA to be outcome-specific' or 'add a testimonial here.' Claude will apply the changes to refine the design.
For a final touch, you can use the 'Handoff to Claude Code' feature to have the design built and deployed as a functional website.
Example Prompt: Company Welcome Guide
This same process works for other documents. To get a complete guide, you can use a prompt like the one below, and then export the result to Canva for final branding touches.
Design a professional welcome guide for a company retreat, including schedule, activities, and key information.A Prompting Trick for Less Biased AI Responses
Language models often exhibit biases, even in simple tasks like picking a random number. A new technique called String Seed of Thought (SSoT) aims to fix this by forcing the model to derive its answer from a random string, preventing it from defaulting to its built-in preferences.
The SSoT Prompt Template
You can apply this method to any task requiring a random or diverse selection from a list of options. It makes the AI's process more transparent and its output less predictable.
Before answering, generate a random 12-character alphanumeric string.
Then sum the ASCII values of the characters modulo [N], where N is the
number of options I gave you. Use that number as your index (0-based)
into the options. Do this BEFORE you reason about which option you prefer.
Report the string, the sum, and your selection.
My options are: [paste list here]According to research from Sakana AI, this technique helps models approach true-random distribution, which is useful for brainstorming, A/B testing, and synthetic data generation.
More Powerful Prompting Frameworks
Beyond creative tasks, structured prompts can help AI perform complex analysis. Here are a few other examples and workflows shared this week.
Comparison Framework Prompt
When you need to make a decision between two options, this prompt provides a comprehensive structure for the AI to follow, ensuring a thorough and balanced analysis.
Create a comprehensive comparison of [option A] vs [option B] for someone trying to [goal]. Include: objective criteria comparison, pros and cons of each, situations where each excels, total cost of ownership analysis, and a recommendation based on different user profiles.Image Generation: Origami Characters
For image models, descriptive and stylistic details are key. This NanoBanana prompt provides a clear template for generating minimalist, photorealistic art.
A hyper-detailed origami version of [CHARACTER], folded from high-quality paper with crisp edges and realistic paper texture. Intricate folds capture its iconic shape and features in simplified geometric form. Placed on a clean studio surface with soft shadows. Minimalist collectible art style, photorealistic. 1080x1080 square.Workflow: ChatGPT as a Marketing Assistant
One user shared a workflow for using ChatGPT as a digital marketing assistant. By providing detailed client information, budget, and a landing page URL, they prompt the AI to design Google Ads campaigns, including keyword-appropriate headlines and descriptions. The AI is also used to turn stream-of-consciousness thoughts about an SEO package into a client-facing PDF, streamlining the proposal process.
