NotCo: AI-Powered Fragrance With Purpose

NotCo: AI-Powered Fragrance With Purpose

For enterprise consumer brands, the hard problem is rarely showing that AI can generate possibilities. It is making a new capability legible enough that brand, R&D, and commercial teams can align around a use case worth scaling.

In 2014, Oscar Mayer showed how powerful scent becomes when it stops behaving like a message and starts behaving like a mechanic. Its bacon alarm let people wake up to the sound of sizzling bacon on the stove, while the brand inserted itself into a daily habit instead of a one-off impression.

Fast forward to 2026, and NotCo is pushing scent from playful activation into AI-enabled product development. With Giuseppe AI and its fragrance formulation work with Cramer, a Latin American multinational in flavors and fragrances, NotCo is showing how a sensory cue can become a personalized product proposition. Giuseppe is positioned as an end-to-end product development platform, meaning it helps move from idea to formulation to scalable output within one workflow.

The enterprise value is not the AI label. It is the shorter path from idea to formulation to a testable proposition that different teams can understand in the same way.

How Aroma Best Friend makes Giuseppe easy to understand

Aroma Best Friend does not try to explain AI through dashboards, technical architecture, or speed claims. It explains the platform through a very human tension point: a dog struggling when its owner leaves home. The story is simple, emotional, and commercially useful at the same time.

The mechanism is easy to retell. The campaign presents a personalized fragrance generated from the owner’s scent profile so a dog is left with an olfactory stand-in for presence. An olfactory profile is the identifiable mix of volatile compounds associated with a person’s scent signature.

In consumer goods, this is the kind of AI story that travels fastest because it links formulation capability to a sensory outcome people can instantly understand.

The film frames the idea around making your dog happier, which keeps the promise focused on an outcome instead of a technology demo.

Why this lands harder than most AI demos

Most AI campaigns still make the same mistake. They tell you the model is powerful and then expect the audience to infer the commercial value. Aroma Best Friend works better because the technology claim is attached to a felt problem and a tangible output, which makes the platform easier to understand and easier to remember.

Extractable takeaway: AI becomes more persuasive when it is shown solving a problem people can emotionally grasp, not when it is described as a capability stack. The sharper the human tension and the clearer the output, the stronger the commercial story.

Scent is not decorative here. It is the proof. That turns Giuseppe from a backstage R&D engine into the source of a new kind of product experience. NotCo is not just advertising AI. It is advertising the kinds of product experiences AI can now help create.

The business play behind the emotion

The real question is whether an AI platform can turn an invisible R&D capability into a story that brand teams, partners, and future buyers instantly understand.

The official waitlist for the product makes clear that joining does not guarantee access to or availability of the product. That suggests this is as much about validating demand and capturing interest as it is about launching a ready-to-scale offer.

For consumer brands, that is where this kind of capability starts to matter beyond innovation theater, when it can move from a compelling demo into a reusable workflow for formulation, proposition testing, and commercial prioritization.

That is the smarter move. Aroma Best Friend works as a campaign, a proof-of-capability demo, and a demand signal test at the same time. For operators, the bigger signal is that one use-case-led demo can align capability storytelling, demand capture, and internal buy-in around the same proof point. Instead of saying that Giuseppe enables personalization and creativity, NotCo dramatizes a specific version of personalization that people can picture, repeat, and remember.

What FMCG and CPG teams should borrow now

  • Turn capability into consequence. Do not market the model first. Market the human outcome the model makes possible.
  • Use one emotionally legible use case to explain a broader platform. Aroma Best Friend is about dogs on the surface, but the deeper message is that Giuseppe can work where formulation and personalization matter.
  • Make the demo do triple duty. The strongest AI campaigns should explain the platform, test demand, and create a reusable proof point for internal adoption and partner sell-in.
  • Choose outputs people can feel, not just read about. Text is easy. Fragrance is harder. That is exactly why this idea carries more weight.
  • Prove customization through specificity. Personalized fragrance is stronger than generic AI-powered personalization because it gives the claim an object, a use case, and a memory.

A few fast answers before you act

What is Aroma Best Friend really marketing?

Aroma Best Friend markets a personalized scent concept for pet separation anxiety on the surface, but at a deeper level it markets Giuseppe AI as a product-development engine that can move into formulation-led use cases.

Why does this explain Giuseppe better than a typical AI demo?

It explains Giuseppe better because it connects the technology to a human problem and a sensory output. That makes the platform easier to understand than abstract claims about intelligence, speed, or creativity.

Is Aroma Best Friend already a scaled product launch?

Not yet in any proven commercial sense. The waitlist language makes clear that joining does not guarantee access to or availability of the product, so the initiative still functions as a signal test as much as a launch story.

Why is scent such a strong choice for this idea?

Scent carries memory, comfort, and presence more directly than most brand cues. That gives the campaign emotional force and turns formulation technology into something people can instantly imagine in use.

What should marketers and innovation teams steal from this?

They should steal the structure. Start with a real human tension, let the technology solve it in a tangible way, and make the output specific enough that people can retell the story in one sentence.

Super Bowl 2026 Ads: By Ad Recall

Super Bowl 2026 Ads: By Ad Recall

It’s been two weeks since the Super Bowl, but the most important data from advertising’s biggest night lands now, after the noise has died and the industry has moved on to arguing about something else. Ipsos recall data shows that long-running campaigns outperform bespoke event ads by embarrassing margins.

The only Super Bowl signal that survives Monday

Every year, the game becomes a weeklong festival of hot takes, rankings, and creative commentary. The game itself produces a clear winner, but in the industry we speak too generally about Super Bowl advertising as if it’s all the same. It isn’t.

That’s the problem. We talk about “Super Bowl advertising” as a category, when the night produces winners and losers in advertising too.

How Ipsos turns hype into a memory test

Ipsos tracked spontaneous brand recall among Super Bowl viewers, the simplest and most demanding test in advertising. Viewers were asked which brands they remembered seeing advertised during the game, with no prompts. Ipsos measured it the next morning, and again a week later.

Spontaneous recall is unaided naming. If people cannot name you without a list in front of them, you were entertainment, not advertising.

In global FMCG and retail portfolios, tentpole moments are recurring, so the only scalable advantage is a set of distinctive brand cues that work across every channel.

The real question is whether your Super Bowl spot is building durable brand memory or renting a one-night reaction.

For enterprise teams, that makes recall a governance problem, not just a creative one, because the same brand cues need to survive agency handoffs, retailer adaptations, CRM, social, and seasonal briefs.

The winners did not act like it was a one-night event

Budweiser

Budweiser dominated the night on recall. Its “American Icons” spot, a foal and a newly hatched bald eagle growing up together over the years to Lynyrd Skynyrd’s “Free Bird”, achieved spontaneous recall of nearly twenty million viewers the morning after the game.

A week later, that number had climbed to twenty three million. Perhaps a signature of a campaign that made it into actual memory rather than mere social feeds.

Pepsi

Pepsi came second, 12 million viewers still able to recall the brand the next day. Their polar bear blind taste test, Coca-Cola’s own mascot choosing Pepsi over Coke, landed because it was built on decades of competitive positioning and the oldest tactic from the cola wars: the challenge.

Dunkin

Dunkin finished third at 11 million. Ben Affleck’s star spangled sitcom parody is exactly what good advertising should be: emotionally engaging, distinctively coded, impossible to misattribute.

These three brands make a compelling case that Super Bowl advertising can work. Spend well, follow your strategy, and put your name into millions of minds and leave it there for a week. Factor in a hundred million viewers, the additional coverage, social amplification, and the required $8 million investment looks seriously worth it, particularly in the fragmented, chaotic media landscape we now inhabit.

The expensive part is not the media. It is the forgettability

The uncomfortable half of the Ipsos results is how many brands barely cleared the minimum bar. More than half the brands in the Ipsos data gained less than a percentage point of recall the morning after their ad ran. Each spent what most companies deploy as an entire year’s marketing budget. Each one has very little to show for it.

Ring

Ring managed 26th place with less than one million viewers recalling the brand the next day, roughly a twentieth of Budweiser’s number. Recall picked up later, likely driven by the outcry around the AI narrative in the spot.

Michelob Ultra

Michelob Ultra came 44th out of 45 brands after running a glossy, star studded spot featuring Kurt Russell, Chloe Kim, and T.J. Oshie. It cost a packet to produce, north of $8 million to air, and was instantly forgotten by almost every viewer of the big game. While recall improved a week later, that was most likely “ghost recall” from other spend rather than the Super Bowl moment itself. By “ghost recall,” I mean recall created by other media exposures that gets wrongly attributed to the Super Bowl airing.

It’s perhaps unfair to single out two brands when almost two thirds of those advertising during the Super Bowl failed so miserably to reach even the lowest bar in the persuasion hierarchy.

Why “familiar” beats “fresh” in 30 seconds

So what separates the winners from the losers? It’s mostly a story of consistency. Ring and Michelob Ultra made special Super Bowl ads. Budweiser and Pepsi didn’t. They extended long running brand codes into the Super Bowl opportunity. It’s not a small distinction.

Extractable takeaway: If your Super Bowl idea does not extend an existing set of brand cues, assume you are buying applause, not memory.

This was the 48th time the Budweiser Clydesdales appeared during the game. Clydesdales are large draft horses, and Budweiser has used them for decades as a signature brand cue in its advertising. Forty-eight years of the same visual assets and the same emotional territory. Think of it the other way: decades of ignoring hot agencies and ambitious new CMOs wanting to “put their stamp on things.” Either way, the sight of those horses trotting across a field now makes 20 million people think of one beer and one beer only.

“Distinctive assets” are repeatable cues, characters, music, visual codes, and phrases that people reliably link to a specific brand. When those cues repeat, viewers identify the brand faster and more accurately, which increases the chance the story is stored as brand memory rather than background entertainment.

Business intent. Buy memory, not applause

Most marketers know patience wins. But very few act on it, because patience is not rewarded in quarterly business cycles and it certainly won’t win many industry awards.

Our industry is structurally biased toward newness. Marketers want to make new ads, and agencies, who get paid to create new work and nothing to run the old, aren’t incentivized to argue with them.

The practical fix is to codify brand assets once, route them through every major channel and content workflow, and measure whether they still drive correct attribution outside the event itself.

Some brands use the biggest advertising night of the year to launch something bespoke, something special, something that will live nowhere after the post game debate ends.

Budweiser used it to add one more chapter to something it started building long before today’s marketing teams rotated in. The Clydesdales are not a campaign. They are compound creativity, and compound creativity is what memory looks like.

Steal this from the recall winners

  • Keep the Super Bowl brief brutally narrow. Your first job is correct attribution, then entertainment.
  • Write an “asset continuity brief” before the creative brief. Lock the 3 to 5 cues that must survive across TV, retail media, social, CRM, and e-commerce.
  • If you make a one-off Super Bowl ad, brand it hard. New characters plus subtle branding is the fastest route to being forgotten.
  • Measure decay, not just peak. Next day recall is the entry ticket. Day 7 tells you whether you made memory.
  • Use the same recall and attribution checks you trust in broader brand and performance reporting. Measure the Super Bowl as part of the system, not as a one-night exception.
  • Build for reuse. If the idea cannot live beyond one night, it is a very expensive dead end.

A few fast answers before you act

What is “spontaneous brand recall”?

Spontaneous brand recall is an unaided memory test. People are asked which brands they remember seeing advertised, without being shown options.

Why do long running campaigns usually win on recall?

Because repeated cues let viewers identify the brand quickly and correctly, which makes it more likely the story and brand get stored together in memory.

Does this mean you should never make a special Super Bowl ad?

No. Make the story special. Keep the brand cues consistent.

What is the fastest pre flight test before you approve the spot?

Ask neutral people: “Who is this for?” If they cannot name the brand quickly, the work is at risk.

What should you track besides recall?

Correct brand attribution, brand lift, search lift, and any downstream sales proxy you trust. Recall is the first gate, not the finish line.

Pomelli Photoshoot: Fast studio-quality assets

Pomelli Photoshoot: Fast studio-quality assets

Start with one approved product image, then generate channel-ready variants fast enough to reduce reshoot demand, review churn, and asset bottlenecks.

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.

Its real enterprise value appears when it fits between PIM, DAM, CMS, and channel publishing as part of the asset supply chain, rather than sitting as a standalone creative tool.

  • 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.

Without asset lineage, approval states, and pack-level control, faster generation just pushes bottlenecks downstream into legal review, localization, and channel operations.

Where it fits, if available in your region

For enterprise teams, the more important question is not where to access the tool, but who owns the workflow, approval model, and publishing controls around 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.