Most product content goes live before anyone knows if it will work.
The images get produced. The listing goes up. The campaign starts. Three weeks later, sales data comes in and the team finds out whether the creative was right. If it wasn't, the brief gets rewritten. New images get made. The listing gets updated. By the time the correction lands, months of sales have been left on the table.
This is the standard ecommerce content workflow. And for most teams, it's felt unavoidable: the only way to know if content works is to watch it run.
Until now.
Most content optimization happens after the fact. Teams publish, measure, and react. The feedback loop runs on weeks or months of sales data, which makes it slow by definition.
What makes it worse: the signal you get from sales data doesn't tell you what to fix. Revenue went up or down. Your content was one factor among many. You're guessing at the root cause on top of guessing at the original creative.
And the problem runs deeper than speed. Conversion is category-specific. What drives purchase in pet food performs differently from what drives purchase in personal care. The visual patterns that make a shopper click "add to cart" are shaped by the category, the retailer, and the role the image plays on the product page. A hero image that scores well in beauty may completely miss in household goods.
Most teams know this intuitively. But the tools haven't reflected it. Brand guidelines are category-agnostic. Competitor analysis tells you what others are doing, not what's converting. Best practices are generalizations. None of it answers the question that actually matters: will this specific image, for this specific product, in this specific category, on this specific retailer, convert?
That's the question Vizit Next Generation was built to answer.
Vizit Next Generation scores, researches, generates, and tests content before it goes live. The new platform moves the intelligence upstream: before publish, before media spend, before the conversion data comes in.
The foundation is Vizit Vision 2.0 trained on a dataset that makes the prediction signal possible: 100M+ product images, 10T+ purchase signals, 1M+ SKUs across 5,000+ product categories. The old model identified surface-level features (objects, colors, composition). The new model understands meaning and intent. It knows the asset type, the role each image plays in the product carousel, and how that combination performs against category-specific conversion patterns.
Scores that are 11x more predictive of conversion than our previous scoring methodology.
Every image and product listing receives a score on a 0–100 scale. Three score types: Carousel Score (full product page image set), Hero Score (primary image evaluated for impact at mobile scale), and Product Page Score (overall listing health).
Hero images are now evaluated against GS1 standards for mobile readiness and agentic shopping readiness: the criteria that matter as retail shifts toward mobile-first and AI-assisted shopping. Images are automatically classified into 14 asset types (hero, lifestyle, feature/benefit, infographic, packaging, and more) so scoring reflects the actual role each image is expected to play.
What this means in practice: a 13.3% average conversion rate lift across optimized products. 96% of products optimized with Vizit see measurable improvement.
Category-level performance data showing what top-performing content actually looks like in your category. This isn't aggregate benchmarks or general best practices. It's the specific visual patterns driving conversion at the category and retailer level. These are the benchmarks your scores are measured against.
The research layer answers the "what should it look like?" question directly. You can see the top-performing asset types, the patterns that recur in high-converting content, and how your listings compare to what's actually working in the market.
This is entirely new. The generative suite takes scoring insights and produces optimized image variants grounded in category conversion performance.
The old workflow: score comes in, gaps are identified, brief gets written, creative team produces new images, assets go back for scoring. Days to weeks of iteration. The generative suite closes that loop: low score in, scoring rationale out, optimized variant generated from category performance data.
Teams using the full workflow are seeing 90% reduction in listing optimization time. The gap between "here's what's wrong" and "here's what to do about it" is closed.
Before any image goes live, Vizit lets you test it within the platform. Run the optimized variant through scoring before you publish or commit media budget. See the projected score improvement. Validate that the change will perform as expected.
The complete loop: score what you have, research what's working, generate what it should be, test it before you go live. Each step feeds the next. And all of it happens before you publish.
13.3% average conversion rate lift. 96% of optimized products show improvement. 90% reduction in listing optimization time. 11x more predictive of conversion from Vizit Classic.
These aren't aspirational projections. They're the results of applying category-specific conversion intelligence to content decisions that were previously driven by instinct, brand guidelines, and lagging sales data.
The 96% improvement rate reflects the core premise: when you know what drives conversion in a specific category and can generate optimized content against that signal, almost any product can move in the right direction.
The platform is live. On July 29, our CMO Eli Orkin and Head of Product Lauren Chiavaroli are walking through the full platform: live scoring, live research, live generation, live testing. Thirty minutes.
Register with an Amazon product URL and we'll run a free Vizit audit before the event. Score your listing, identify conversion gaps, estimate the revenue opportunity. On July 29, you'll see exactly how we arrive at those scores and what to do next.
Not ready for the webinar? Request a demo to see Vizit applied to your specific catalog.
Vizit is the first—and only—way to predict, measure, optimize, and monitor your ecommerce content’s effectiveness so you can deliver the right content for consumer audiences at scale.
.png)
.png)
