Google AI Clothing Try-On Feature

Hey AI Enthusiast,

Google just launched an AI feature that lets you virtually try on clothes - changing how tech companies approach shopping experiences by bringing personalized virtual fitting systems directly to search platforms.

Users can now upload photos of themselves to see clothing on their own body with AI-generated visualization, opening up personalized shopping without physical try-on processes or store visits.

Let me cover today's power prompt and marketing strategy first...

🔥 Prompt of the Day 🔥

Create One Momentum-Maintaining Follow-Up: Use ChatGPT or Claude
Act as a sales communication specialist. Create one effective follow-up email after a [CALL TYPE] with [PROSPECT].

Essential Details:

• Call Type: [Discovery/Demo/Proposal]

• Prospect: [Company/Role]

• Key Discussion: [Main topic]

• Next Step: [Agreed action]

Create one follow-up including:

1. Thank You for Time

2. Key Discussion Recap

3. Value Point Reinforcement

4. Next Step Confirmation

5. Resource Attachment Mention

6. Calendar Link

Instruction:
Focus on maintaining momentum and clarity.
Keep under 150 words total.

✅ Marketing Monday ✅

Negative Proof

Tired of saying how great your offer is?

Flip it. Tell them what happens if they don't act.

There's a better path forward.

Show what they'll miss—not just what they'll gain.

Perfect for urgency creation and decision acceleration.

Paint the cost of inaction clearly.

Use testimonials from people who waited too long.

Test fear-of-loss vs. gain-focused emails.

Track which drives more urgency.

Never underestimate loss aversion - it might be the strongest motivator you have.

Smart marketers use negative proof elements within campaigns strategically.

Behavioral data shows proper loss-framing usage generates higher response rates.

Messages with inaction consequences save persuasion time effectively.

Fear recognition quality determines future engagement potential consistently.

Properly crafted negative proof statements dramatically improve conversion retention rates.

Over-selling creates message fatigue unnecessarily.

Balance consistency with authentic urgency expression naturally.

Customer motivation building requires strategic loss-framing placement patience.

Sometimes "what if you don't" is more powerful than "what if you do."

🤔 Did You Know? 🤔

The fragrance industry is using AI to create new scent combinations, with companies like Givaudan reporting that AI-designed perfumes now account for 15% of new product launches.

🗞️ Breaking AI News 🗞️

Google just launched virtual try-on AI features with full personalization and shopping-based integration.

Beyond a simple update - Google deployed a strategic approach to boost retail identification while offering access to AI-driven shopping generation platforms globally.

Here's what we're witnessing:

• Instant AI-powered try-on through combined photo upload (now with complete Google knowledge) on shopping systems without traditional fitting room processes

• Improved shopper experience through simplified workflows for diverse clothing applications and human-like body visualization features

• Developer-focused structure managing complex try-on requirements with realistic visualization controls for real-world implementation

• Worldwide shopping systems challenging standard retail models while maintaining Google platform capabilities

But here's the crucial point everyone's missing...

This launch demonstrates a core shift in how shopping technology companies get personalized and integrated.

It's a total transformation in the retail visualization space:

• Builds streamlined try-on for shoppers globally stepping away from external fitting applications

• Brings AI visualization directly into Google's infrastructure instead of relying on third-party shopping platforms

• Addresses shopping efficiency straight within current retail ecosystems

• Stops users from requiring separate try-on solutions while the platform manages unified shopping integration

• Shows preparation for a comprehensive Google-powered AI shopping landscape

Think about owning try-on technology that functions across Google's entire ecosystem for your complete shopping strategy.

Your shopping options now linked to Google's AI systems rather than isolated try-on tool restrictions.

Your visualization capabilities grew beyond individual platform boundaries.

The Google shopping technology environment just became fully connected.

Over to You...

How would you use Google's AI virtual try-on in your shopping routine?

Hit reply and share what types of clothing you'd try on virtually first.

To smarter online shopping,

Jeff J. Hunter & Valentin Molina
Founders, AI Persona Method | World's Largest AI Community (3.4M)