Good or bad, every customer pic containing your product is adding something to your brand.
Brands put huge effort into controlling visual identity.
Then customers take over.
They photograph your product in kitchens, garages, campsites, offices, gym bags and airplane seats.
Those pics accumulate online, gradually attaching meanings to the brand that no guidelines document ever specified.
A new study in the International Journal of Research in Marketing shows how much easier AI is making that kind of visual brand listening.
The researchers tested vision-language models on marketing-image tasks including brand perception, emotion, aesthetics and product imagery.
Unlike older computer-vision systems that tell you what is visible, newer models can interpret relationships and broader context within an image.
In other words, they see nuances like emotion, mood and context.
That makes for a new opportunity.
Imagine YETI analyzing tens o’ thousands of customer photos and asking: How often does the brand seem truly adventurous?
How about premium or rugged? Aspirational even?
And then, how are those associations changing by audience over time?
You could do some of this before, but it took tons of manual labelling, technical expertise and model training.
It was a monster job, but that was last year.
The study found that vision-language models can now handle many of these tasks without task-specific fine-tuning, making this kind of analysis dramatically more accessible.
The researchers also warn against blindly trusting the output. Accuracy varied considerably by task, so human validation is still essential.
But the broader opportunity is a thing too.
Your customers are showing you what your product means to them, in their own way.
Until recently, much of that visual evidence was sitting there largely uninterpreted.
Now brands can start listening with their (virtual) eyes.
If you’d like help creating and marketing products people feel compelled to buy, the product marketing consultants at Graphos Product can help.