Category noise
When every homepage says 'AI-powered', the phrase stops meaning anything. Your differentiation gets lost in the same five adjectives.
AI + ML startups
Judged on: can I tell what this actually does?
Every AI company claims to be powerful, seamless and transformative. Buyers have stopped reading. We help you show what your product actually does, for whom, and why it's safe to bet on.
A clear outcome, not a model name
Architecture, accuracy and integration details
Data handling, training policy and compliance
Predictable pricing and a believable ROI story
The problem
When every homepage says 'AI-powered', the phrase stops meaning anything. Your differentiation gets lost in the same five adjectives.
Buyers want to see the product work on something like their problem before they talk to anyone.
Where does our data go? Is it used for training? Who can see it? If the site doesn't answer, the deal slows down.
Product changes every sprint. Screenshots, feature lists and pricing go stale within weeks.
Say this, not that
Same product, same claim, two very different reactions. The left column is what most AI sites say. The right is what a buyer can act on.
AI-powered platform for modern teams
Reads 400-page contracts and flags the five clauses your legal team changes
Seamless, intelligent automation
Cuts invoice matching from 40 minutes to 4, with a human approving each batch
Enterprise-grade security
Your data is never used for training. Deleted within 30 days. Hosted in Mumbai or Frankfurt
Transformative accuracy
94% on our benchmark of 1,200 real documents. Method and dataset on this page
The fix
Name the task you do and the person you do it for. Save the architecture for the page technical buyers go looking for.
An interactive demo, a short loop or a real output example above the fold does more than any headline.
A plain-language trust page: what you store, what you train on, where it lives, and how to delete it.
A CMS and component system so marketing can update features and screenshots without a developer.
Proof
Put these where buyers make decisions: near CTAs, on pricing and in the footer. Not buried on an About page.
94%
of buying groups rank their preferred vendors before first contact with sales.
If your website doesn't make the shortlist, sales never gets a shot.
Where to start
A typical starting sitemap for AI companies. We adjust it after the audit.
Job, audience, proof, demo
One per job-to-be-done
For the technical evaluator
Data, privacy and compliance
Clear tiers or a clear reason to talk
Proof the product is alive
AI + ML startups FAQ
Something else? Email admin@baddesign.io. The founder replies.
Only if it's what makes you different. Most buyers care about the outcome. If AI is how you get there, show it in the product rather than shouting it in the headline.
Not always, but you need some way for buyers to see the product before a call. A 30-second loop or real sample output is often enough to start.
Design the site in reusable blocks and keep feature detail in a CMS, so updates are a content task, not a redesign.
Send your URL. We'll review it against what buyers in your industry look for, and send the top fixes free.