3.6x more users after redesigning a SaaS website for Enterprise AI
A Vision AI testing agent that lets teams test mobile apps from plain-english prompts, replacing fragile scripts with self-healing automation across iOS and Android.
The problem: a single page that couldn't sell an Enterprise product
Drizz had a product genuinely worth paying attention to. A vision-AI platform that tests mobile apps the way a human would, no fragile scripts, no maintenance overhead, tests written in plain English. The technology was solid. The website was not.
Their entire web presence was a single landing page. It wasn't doing the job: enterprise buyers landed on it and couldn't quickly answer the question that matters most, "Is this built for us?"
Specific friction points we identified:
The product's core value: AI that replaces manual test scripting, wasn't being communicated clearly with static copy alone. Visitors couldn't "see" how it worked.
No trust signals, no social proof, no case studies. Enterprise buyers do due diligence. There was nothing to ground their confidence.
The visual design felt generic and dated: mismatched with a product positioning itself as cutting-edge AI infrastructure for engineering teams.
A single page structure limited SEO surface area and made the site look thin relative to the enterprise category they were competing in.
What is a SaaS website redesign for enterprise products?
A SaaS website redesign for enterprise products involves rearchitecting the information structure, visual language, and content strategy to match the scrutiny of B2B buyers, not just individual sign-ups. It covers multi-page architecture, trust-building patterns, clear value proposition hierarchy, and design that signals product maturity.
Our approach: rebuild the architecture, then the aesthetics
Drizz needed speed and iteration density, they'd been through a stagnant period with their old site and needed a team that could move fast without sacrificing quality. We structured the engagement around rapid multi-variant exploration and section-by-section decisions.
Discovery & audit
We tore apart the existing page and audited it against what enterprise SaaS buyers expect: clear differentiation, product proof, trust factors, and a coherent value narrative. The gaps were structural, not cosmetic.
Information architecture
We moved from a single page to a multi-page architecture. Homepage, product detail, use cases, and supporting pages, each with a focused job to do. This gave Drizz the SEO footprint and content depth the enterprise audience expected.
Design & iteration
We delivered multiple design variants for key homepage sections, hero, value props, how it works, and social proof, giving the team real options to evaluate, not a single take-it-or-leave-it direction. The visual language was built around deep gradients and an AI-native aesthetic that felt modern without being gimmicky.
Illustration & motion
Static screenshots couldn't explain how Drizz worked. We designed a system of animated illustrations, used across the hero, value prop cards, and "how it works" section, to show the product in motion without needing a full product demo.
Key design decisions that changed how the product read
Decision 1: animated illustrations over static screenshots
The previous site relied on static images to explain an inherently dynamic product. Visitors couldn't intuit what the AI was actually doing. We replaced static visuals with custom animated illustrations across three core sections, the hero, the feature cards, and the how-it-works flow.
The reasoning: AI testing is about watching something happen in real time. A looping, purposeful animation communicates that in 3 seconds. Static images require reading. For a product competing on speed and intelligence, making visitors read to understand felt like exactly the wrong message.
Decision 2: multi-page architecture instead of a single landing page
One landing page is appropriate for a simple tool. Drizz was targeting engineering leads and QA managers at companies with real procurement processes. That audience doesn't convert off a single page, they browse, cross-reference, and validate. We restructured to a multi-page site with dedicated sections for product depth, use cases, and trust content. This also created targeted SEO landing pages, which, post-launch, became one of the primary drivers of organic growth.
Decision 3: AI-driven visual identity built around dark gradients
Enterprise AI tools in 2024 carry a visual vocabulary. Deep purples, indigos, and gradient-lit dark modes signal intelligence and precision, the same palette used by the category leaders Drizz was positioning against.
We leaned into this deliberately, not generically. The gradient system was tied to the product concept, smooth transitions, AI states, and test flow, rather than just applied as decoration. The result was a site that looked like it belonged in the category from the first scroll.
The outcome: a 3.6x lift in active users within weeks of launch
Post-launch Google Analytics told the story clearly. The site wasn't just getting more visitors it was holding them:
Active users jumped from 4,100 to 14,800, a 3.6x increase. Average engagement time went from 30 seconds to 150 seconds, meaning visitors were actually reading and exploring, not bouncing on arrival. Event count grew from 20,000 to 81,000, a 4x increase in meaningful interaction. These aren't vanity metrics. Engagement time and event count are direct signals that the new information architecture was working, people were finding what they came for and going deeper.
Ready to make your SaaS website work as hard as your product?
If you're building in the AI or developer tooling space and your website still can't explain what you do in 10 seconds, let's fix that.
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