
A marketer uses Google’s Pomelli Photoshoot feature to transform a simple product image into studio-quality marketing visuals using AI. Image Source: ChatGPT-5.2
Google Adds AI Photoshoot Tool to Pomelli, Turning Product Photography Into Software
Google has introduced a new artificial intelligence feature called Photoshoot inside its experimental marketing platform Pomelli, allowing businesses to generate studio-quality product images from simple photos without conducting a traditional photoshoot.
The update expands Pomelli’s role from campaign assistance into production automation, using AI models and stored brand context to create marketing visuals that previously required photographers, studio setups, and post-production work.
By combining image generation with a company’s saved branding profile — known as Business DNA — the system applies consistent aesthetics automatically, turning product photography into a repeatable software workflow rather than a physical process.
The feature is aimed primarily at small and medium-sized businesses, e-commerce sellers, and marketing teams that lack dedicated creative production resources.
Here’s what this means: AI is beginning to replace entire marketing production steps, not just assist with content creation, signaling a broader shift toward fully AI-native creative workflows.
Key Takeaways: Google’s AI Photoshoot Feature in Pomelli
Google Labs introduced Photoshoot, a new AI feature in Pomelli that converts basic product photos into studio-quality marketing images.
The system uses Business DNA, a stored brand profile, to automatically apply consistent visual identity across generated assets.
Businesses can create professional product photography without photographers, studio equipment, or traditional editing workflows.
New campaign tools allow users to generate marketing creatives using product URLs, uploaded images, and structured brand context.
The release demonstrates how AI is moving into marketing production workflows, compressing physical creative processes into software systems.
How Google’s Pomelli Photoshoot Replaces Traditional Product Photography
Product photography has traditionally required multiple steps: staging, lighting, photography, editing, and asset preparation. Google’s Photoshoot feature aims to collapse those steps into a guided AI process.
Users begin by uploading any product image — even one that is not professionally shot. Pomelli then applies Nano Banana image generation, combined with the business’s saved branding information (Business DNA), to produce refined marketing visuals aligned with the brand’s identity.
The workflow includes:
Selecting a product image, regardless of initial quality
Choosing a template, such as studio or lifestyle environments, or allowing Pomelli to suggest one
Generating professional images automatically aligned with brand aesthetics
Refining outputs through editing and finishing adjustments
The resulting images can be downloaded immediately or stored within Pomelli’s Business DNA system for future campaign creation.
According to Google, the goal is to help smaller businesses produce consistent, professional marketing materials without requiring access to expensive production resources, as high-quality visuals play an important role in building customer trust.
New AI Image Generation and Campaign Features in Pomelli
Alongside the Photoshoot launch, Google also introduced several updates designed to improve how businesses generate visuals and build marketing campaigns within Pomelli. These additions expand creative control while helping campaigns align more closely with real product information.
Improved image generation capabilities
Google says Pomelli now uses improved image models that more accurately follow user prompts, allowing businesses to better express ideas visually and through written instructions.
New capabilities include:
Improved image generation accuracy that more closely follows user prompts
Editing commands that allow users to modify images using natural language instructions, such as changing a background to a different environment (e.g., “change my background to a forest”)
Style reference tools that let users restyle one image to match the visual style of another image (e.g. restyle <insert image> to look like <insert image> style)
More specific campaign creation
Google also introduced updates aimed at making campaign generation more precise by grounding AI outputs in real product data.
Users can now:
Upload images directly into campaign prompts to guide creative outputs
Add product context by entering a product URL, allowing Pomelli to analyze images, titles, and descriptions from a website
Generate campaigns using prompts tied to real products — for example, a user could type: “create a promo for my new necklaces <insert URL>.”
These additions allow businesses to create campaigns tailored closely to their products rather than relying on generic prompts.
Pomelli, including the new Photoshoot feature, is now available to try through Google Labs.
Q&A: How Google’s Pomelli Photoshoot Works
Q: What is Pomelli?
A: Pomelli is a free experimental tool from Google Labs designed to help businesses generate marketing campaigns and brand-aligned assets using AI.
Q: What is Photoshoot?
A: Photoshoot is an AI feature inside Google Labs’ Pomelli platform that generates studio-quality product images from basic photos by applying brand context and image generation models.
Q: What is “Business DNA”?
A: Business DNA stores brand context — including aesthetic preferences and marketing style — allowing the system to automatically apply consistent branding across generated content.
Q: How does Photoshoot use AI?
A: The feature combines business context with image generation models (referred to as Nano Banana image generation in Google’s announcement) to create studio-style or lifestyle imagery from existing product photos.
Q: Who is the feature designed for?
A: Google says the tool targets small and medium-sized businesses that may lack the time, budget, or expertise to run traditional photoshoots.
What This Means: Marketing Production Becomes Computational
Google’s Photoshoot announcement reflects a broader evolution in how marketing content is produced, as AI systems begin automating processes that previously required physical production environments.
Who should care: Small and medium-sized businesses, e-commerce brands, marketing teams, creative agencies, and professional photographers should pay attention, as AI tools increasingly automate routine production tasks that were historically outsourced or studio-based.
Why it matters now: For smaller businesses, this lowers barriers to professional-grade marketing by reducing the cost and complexity of creating high-quality visuals. For creative industries, it raises new questions about how traditional production roles may evolve as software increasingly simulates work once done in physical studios.
What decision this affects: Organizations must now evaluate whether traditional photoshoots remain necessary for routine marketing content or whether AI-generated imagery can meet quality, speed, and cost requirements for digital campaigns.
The broader implication is that AI is not just helping create marketing assets — it is redefining how those assets are produced, turning what was once a physical photoshoot into a repeatable software function.
Sources:
Google - Create studio-quality marketing assets with Photoshoot in Pomelli
https://blog.google/innovation-and-ai/models-and-research/google-labs/pomelli-photoshoot/Google Labs - Pomelli About
https://labs.google.com/pomelli/about/Google - Pomelli: Build marketing campaigns with AI
https://blog.google/innovation-and-ai/models-and-research/google-labs/pomelli/
Editor’s Note: This article was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant. However, the final perspective and editorial choices are solely Alicia Shapiro’s. Special thanks to ChatGPT for assistance with research and editorial support in crafting this article.
