Category: Social Media

Pomelli Photoshoot: Fast studio-quality assets

Start from a single image of your product and easily create high quality, customized product shots to elevate your marketing.

A jar in your hand. A whole shoot in your CMS

Start with the most ordinary thing in e-commerce. A single product photo, shot on a desk, held in a hand, good enough for internal approval but nowhere near “campaign-ready”. Then imagine turning that one image into a set of studio and lifestyle shots that look like you planned the lighting, the surface, the props, and the framing.

That is the pitch behind Photoshoot, a feature inside Pomelli from Google Labs: take a basic product image and generate professional-grade marketing imagery fast, without booking a studio for every new variant. “Studio-grade” here means assets that can sit on a PDP or paid social without instantly looking like “placeholder content”.

How Photoshoot turns one product photo into usable marketing imagery

Photoshoot is not just “generate me a nicer background”. It is a guided flow designed to keep output consistent.

  1. Pick a product photo. The input can be imperfect. The tool is explicitly designed to handle “don’t worry about polish”.
  2. Choose a template. Templates are pre-built shot styles (for example studio or lifestyle) that constrain composition so results do not drift into random aesthetics.
  3. Generate. Pomelli applies your brand aesthetic via its Business DNA, then generates new shots. Business DNA is Pomelli’s saved brand profile derived from your website (voice, fonts, imagery, color palette).
  4. Refine. You iterate with finishing touches, then download assets or store them back into Business DNA for reuse in later campaigns.

Under the hood, Google describes this as combining business context (Business DNA) with Nano Banana image generation to produce the final scenes.

In high-velocity retail and FMCG e-commerce teams shipping new SKUs (Stock Keeping Units) and promos weekly across many markets, this is the shortest path from “we have a product” to “we have compliant, channel-ready variants”.

The real question is whether one approved product shot can produce enough on-brand variants to increase throughput without increasing review drag.

Why it lands. Because it cuts the real friction, not the fun part

Most teams are not blocked on “having ideas”. They are blocked on throughput with consistency: getting enough variants, in enough formats, that still look on-brand, pass review, and do not trigger rework across design, legal, and local markets.

This is why the mechanism matters. Because Photoshoot grounds outputs in Business DNA and constrains composition via templates, the results tend to feel brand-consistent faster, which reduces review churn and makes variant production scalable.

Extractable takeaway: If you want generative creative to survive enterprise review, do not start with infinite freedom. Start with constraints that encode your brand (a reusable brand profile) and your channel rules (shot templates), then let the model fill in the pixels inside that box.

The business intent is blunt. Production leverage for asset variants

“Production leverage” is the multiplier you get when one person-hour produces many more usable assets without multiplying headcount or agency spend. For e-commerce teams, Photoshoot is essentially a variant engine.

  • More PDP (Product Detail Pages) imagery coverage without re-shooting every pack change.
  • More paid social iterations without waiting on design queues.
  • Faster seasonal refreshes when the same SKU needs a new context (spring, gifting, back-to-work).
  • A tighter loop between merchandising and creative because the cost of “try another angle” collapses.

Important reality check: you still need governance. Treat outputs like any other marketing asset. Rights, claims, pack accuracy, and local compliance do not disappear just because generation is fast.

Where to try it?

The Pomelli app on Google Labs is where you can access the experience.

However availability is currently limited. Pomelli has been launched as a public beta experiment in the United States, Canada, Australia, and New Zealand (English).

What to steal for your next asset sprint if the app is available in your region

  • Codify brand constraints first. Build a reusable “brand profile” (fonts, tone, visual rules) before you chase more generations.
  • Template your shots like you template layouts. Decide the 6 to 10 shot types you actually need (hero studio, detail crop, lifestyle context, ingredient cue) and standardize them.
  • Design for review speed. Define what “acceptable” means (pack legibility, logo integrity, claims, background rules), then generate inside those rails.
  • Run a SKU ladder test. Start with 10 SKUs across easy and hard surfaces (glass, reflective, metallic). If it fails there, it will fail at scale.
  • Instrument the pipeline. Track time-to-first-usable, approval rate, and rework causes. That is how you prove leverage, not by “wow, looks nice”.

A few fast answers before you act

What is Pomelli Photoshoot, in one sentence?

Pomelli Photoshoot is a feature inside Google Labs’ Pomelli that turns a single product photo into professional-style studio and lifestyle marketing images using brand context and image generation.

What is the mechanic marketers should care about?

You choose a product image, select a curated template (studio or lifestyle), generate variants grounded in your Business DNA, then refine and download or reuse those assets in future campaigns.

What does “Business DNA” actually mean here?

Business DNA is Pomelli’s saved brand profile derived from your website, such as tone of voice, fonts, imagery, and color palette, which Pomelli uses to keep generated outputs consistent.

Where is Pomelli available right now?

Pomelli is in public beta in English in the United States, Canada, Australia, and New Zealand. It is not currently available in Germany.

What is the first safe way to pilot this in an enterprise team?

Pilot it on a small SKU set with strict shot templates and review criteria, then measure approval rate and rework reasons before scaling variant production.

Viral Content: Clone Winning Ads in Minutes

Viral video creation just changed with Topview AI.

For years, short-form performance video lived in two modes. Manual production that is slow and expensive. Or template-based generators that are faster, but still force you into lots of manual re-work.

Now a third mode is emerging: AI Video Agents, meaning systems that take a short brief plus a few inputs and generate a complete multi-shot draft you can iterate on.

The shift is simple. Instead of editing frame-by-frame, you brief the outcome. Optionally provide a reference viral video. The agent then recreates the concept, pacing, and structure for your product in minutes. Your job becomes direction, constraints, and iteration. Not timelines.

Meet the AI Video Agent “three inputs” workflow

Topview’s core promise is “clone what works” for short-form marketing.

Upload your product image and/or URL so the system extracts what it needs. Share a reference viral video so it learns the shots and pacing. Get a complete multi-shot video that matches the reference style, rebuilt for your product.

That is the operational unlock. You stop asking a team to invent from scratch every time. You start generating variants of formats that already perform, then iterate based on outcomes.

In performance marketing organizations, tools that “clone” winning ads mainly shift the bottleneck from production to briefing quality, governance, and iteration discipline.

What “cloning winning ads” really means

This is not about copying someone’s assets. It is about cloning a repeatable pattern.

Extractable takeaway: When a workflow can reliably regenerate a proven creative structure, the bottleneck shifts from making assets to choosing angles, proof, and guardrails that improve one test at a time.

High-performing short-form ads tend to share the same backbone. A strong opening. A clear value moment. Proof. A simple call-to-action. The variable is the angle and execution. Not the structure.

AI video agents are optimized to reproduce that backbone at speed, then let you steer the angle. Because the agent reuses a proven structure, you can spend your time on angles and proof, which increases iteration velocity. That is why they matter for performance teams. The advantage is iteration velocity. The risk is sameness if you do not bring differentiation in offer, proof, and brand voice.

What to evaluate beyond the AI Video Agent headline

I would not judge any platform by a single review video. I would judge it by whether it covers the tasks that constantly slow teams down.

From the “creative tools” surface, Topview positions a broader toolbox around the agent, including: AI Avatar and Product Avatar workflows (plus “Design my Avatar”). LipSync. Text-to-Image and AI Image Edit. Product Photography. Face Swap and character swap workflows. Image-to-Video and Text-to-Video. AI Video Edit.

This matters because real creative operations are never “one tool.” They are a chain. The more of that chain you can keep inside one workflow, the faster your test-and-learn loop becomes.

Topview alternatives. Choose by use case, not by hype.

If you are building a modern AI powered creative tech stack, ensure you match the AI tools to the job.

HeyGen

HeyGen positions itself around highly realistic avatars, voice cloning, and strong lip-syncing, plus broad language support and AI video translation. It also supports uploading brand elements to keep outputs consistent across projects. Compared to Topview’s short-form ad focus and beginner-friendly “quick publish” style workflow, HeyGen is often the stronger fit when avatar-led and multilingual presenter content is your primary format.

Synthesia

Synthesia is typically strongest for presenter-led videos, especially training, internal communications, and more “corporate-grade” marketing explainers. Compared to Topview’s short product ad focus, Synthesia is often the cleaner fit when a human-style presenter is the core format.

Fliki

Fliki stands out when your workflow starts from existing assets and needs scale. Blogs, slides, product inputs, and team updates converted into videos with avatars and voiceovers, plus a large set of voice and translation options. Use Fliki when you want breadth and flexibility in avatar and voiceover production. Otherwise, use Topview AI when your priority is easily creating short videos from links, images, or footage with minimal workflow friction.

Operating moves to steal with AI video agents

The real question is whether your team can turn minutes-long production into a disciplined iteration system without losing distinctiveness.

Viral content is no longer a production problem. It is becoming an iteration problem.

  • Brief for outcomes, not assets. Define the hook, value moment, proof, and CTA before you generate variants.
  • Constrain sameness early. Put brand voice, offer boundaries, and “do not do” rules into the brief so speed does not turn into remix culture.
  • Run a ruthless learning loop. Test fewer, better variants. Kill quickly. Scale only what proves incremental lift.

Which viral video would you recreate first. And what would you change so it is unmistakably yours, not just a remix.

A few fast answers before you act

What does “clone winning ads” actually mean?

It usually means generating new variants that reuse the structure of high-performing creatives. The goal is to speed up iteration, not to copy a single ad one-to-one.

Is this ethical?

It depends on what is being “cloned.” Reusing your own learnings is normal. Copying another brand’s distinctive IP, characters, or protected assets crosses a line. Governance and review matter.

What will still differentiate brands if everyone can produce fast?

Strategy, customer insight, and taste. If production becomes cheap, the competitive edge moves to positioning clarity, creative direction, and the quality of testing and learning loops.

How should teams use this without flooding channels with slop?

Use strict briefs, clear brand guardrails, and a limited hypothesis set. Test fewer, better variants. Kill quickly. Scale only what proves incremental lift.

What is the biggest risk?

Over-optimizing for short-term clicks at the expense of brand meaning, trust, and distinctiveness. High-volume iteration can become noise if the work stops saying something specific.

Qantas Out Of Office Travelogue

Qantas, Australia’s national airline, wants a new way to inspire travel with an increasingly younger audience. Their answer is a smart twist on a familiar behaviour. The out-of-office email. Instead of the usual “I’m away” message, Qantas turns it into a personalised travelogue powered by the user’s Instagram photos.

The mechanism is simple and effective. Qantas’ research shows that tips from friends and colleagues are a major driver for choosing the next holiday. So the brand uses Instagram’s API to transform a mundane autoresponder into something people actually want to read. A short visual story of where you are, what you are doing, and why it might be worth visiting.

What elevates the idea is the commercial bridge. The email does not just inspire. It incentivises recipients to book flights directly from the out-of-office message. This is social proof plus direct response, built into a format people already accept as normal workplace etiquette. The business intent is clear. Convert social inspiration into attributable flight demand inside the same interaction.

As a result, users created over 10,000 Out of Office Travelogues. The activity generated 100 million media impressions worldwide for Qantas.

Why this works as modern email strategy

Most marketing emails fight for attention in an overcrowded inbox. This one arrives with a built-in reason to be opened and read. It is a message you expect when you email someone who is travelling.

Extractable takeaway: When a brand can place a commercial message inside a communication people already expect, the marketing feels useful before it feels promotional.

It also uses the strongest distribution channel many brands overlook. People’s real networks. When your colleague shares their trip, even passively via an autoresponder, it carries more credibility than a brand-led destination ad.

This is one of the smarter ways to turn routine email behaviour into demand generation because it adds commerce without breaking the social norm that makes the message welcome.

The real innovation is the data-to-story pipeline

At a tactical level, the campaign is “just” an API integration. In practice, it is a reusable pattern. Here, data-to-story pipeline means turning user-owned content and simple signals into a coherent, bookable story unit.

  • Pull customer-owned content from a platform they already use.
  • Convert it into a lightweight narrative unit that fits a communication norm.
  • Add a clear, transactional next step without breaking the tone.

If you can operationalise that pattern, you can treat email not as static creative, but as a dynamic surface where personal context becomes relevant storytelling. Because the story is generated from a person’s real context, it feels more relevant and more trustworthy than static promotional creative.

In travel and hospitality categories where peer recommendation shapes intent, that makes email a distribution surface, not just a notification channel.

The real question is how far a brand can turn trusted everyday communication into measurable distribution without damaging the trust that makes it work.

What to watch if you replicate this pattern

The moment you use personal photos and automated messaging, the trust layer matters.

  • Permissioning and transparency. Make it obvious what is being pulled and why.
  • Control. Users need an easy way to curate what appears.
  • Brand safety. You need guardrails so the travelogue stays on-message without becoming intrusive.

What to steal for email-powered demand generation

  • Hijack a legitimate email type. Out-of-office replies get opened because the recipient expects them.
  • Turn personal content into a controlled story unit. User photos feel authentic, but only work when users can curate the output.
  • Embed the commercial action inside the narrative. Inspiration and booking sit in the same interaction, so intent has no time to cool down.
  • Use networks as distribution, not “audiences”. Colleagues and friends are higher trust than any destination banner.

A few fast answers before you act

What is the Qantas Out of Office Travelogue?

A personalised out-of-office email reply powered by the user’s Instagram photos, designed to inspire travel and drive bookings.

Why is the out-of-office format such a good carrier?

It arrives with intent and legitimacy. People expect it, and it is naturally tied to travel.

What is the core growth loop?

One person travels. Their network sees the travelogue via everyday email behaviour. The recipient gets inspired, and is pushed toward booking directly from the message.

What has to be true for this to scale?

Users need clear permissioning, easy curation, and a direct booking path that feels like a natural next step rather than a hard sell.

What results does Qantas report?

Over 10,000 travelogues created and 100 million media impressions worldwide.