Framer vs. AI
Opinion Piece
Everyone Has the Same Website Now
When the tools are identical, the outputs converge. Differentiation doesn't come from the prompt — it comes from the thinking behind it.
Value
Understand why AI-generated websites are producing a new kind of sameness across the web, and what it actually takes to stand out when everyone has access to the same tools. A sharper frame for thinking about brand differentiation in an era of commoditised output.
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Author

Benjamin Libor
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Everyone Has the Same Website Now
Open ten SaaS websites in separate tabs.
Dark hero section. Gradient headline. Three-column feature grid. Logos of recognisable customers. A pricing table. A footer with too many links.
Some of them are beautifully executed. Most of them are indistinguishable.
This isn't a coincidence. It's a consequence.
When tools converge, outputs converge
For most of design history, differentiation was constrained by access. Good design required skilled people, time, and money. Companies that invested in those things looked different from companies that didn't. The gap was visible.
AI has collapsed that gap.
Lovable, v0, Framer AI — these tools give any company access to a competent, well-structured website in hours. That's genuinely democratising. It's also quietly homogenising.
When everyone uses the same tools, trained on the same data, prompted with roughly similar inputs, the outputs trend toward the same aesthetic. Not because anyone copied anyone. Because the tools are optimising for plausible-looking output — and plausible, at scale, becomes a shared visual language nobody chose but everyone ended up with.
The floor has risen. So has the ceiling of sameness.
The SaaS aesthetic
There's a name for what's emerged: the SaaS aesthetic.
Clean sans-serif typography. Muted backgrounds with one accent colour. Feature sections built around three-column icon grids. Hero copy that leads with outcomes and buries the actual product. Testimonials presented as floating quote cards.
It's not bad design. It's competent, considered, and functional. It also looks like everything else in the category.
The problem isn't that it exists. The problem is that it's become the default output of AI-assisted website generation — which means companies that reach for these tools without deliberate creative direction end up looking like their competitors before the first line of copy is written.
In a market where trust and differentiation are built before anyone gets on a call, this is a real problem. Not a cosmetic one.
Differentiation was never in the template
Here's the thing about the companies whose websites actually stand out — whose brand you remember, whose site you screenshot, whose visual identity feels specific and earned.
They didn't get there through a better tool. They got there through a sharper point of view.
They knew what they stood for before they opened a design file. They had opinions about how their product should feel to encounter — not just what it should say. They made deliberate decisions about typography, motion, colour, and structure that reflected something true about the company, rather than something plausible given the category.
That work can't be prompted. It requires thinking — about the company, the market, the audience, and the gap between where the brand currently sits and where it needs to go. AI can accelerate the production of what comes after that thinking. It can't replace the thinking itself.
The companies that understand this use AI as a production layer on top of a deliberate creative strategy. The ones that don't use AI as a substitute for that strategy — and end up with a website that looks like everyone else's, shipped faster.
The commoditisation trap for AI companies specifically
There's a particular irony here worth naming.
AI companies — the ones building the most technically sophisticated products in the market — are among the most visually homogeneous. Dark backgrounds, purple gradients, neural network imagery, copy that leads with "the future of" something. The aesthetic has become so pervasive that it signals AI company before the product name registers.
For companies trying to stand out in a crowded and rapidly growing category, this is a significant problem. Enterprise buyers evaluate multiple vendors. Investors see hundreds of decks. Talent compares multiple employers. In each of those moments, visual and brand differentiation does real work — it signals maturity, conviction, and the kind of taste that suggests the product was built with the same care as the brand.
Looking like every other AI company is not a neutral outcome. It's a positioning failure that happens before any conversation begins.
Where differentiation actually comes from
It comes from the system, not the prompt.
A brand system — a coherent set of decisions about visual language, verbal identity, and how the company shows up across every surface — is not something AI generates. It's something people build, through research, strategy, and deliberate creative direction. It takes longer. It requires more thinking. It produces something that can't be replicated by someone else typing a similar prompt.
That's the point.
Framer is powerful precisely because it's a system-first tool — one where design decisions are encoded into reusable components that enforce consistency across every page, every update, every contributor. The differentiation gets designed in. Then it gets protected.
This is what separates companies whose brand compounds over time from ones that keep resetting. Not the quality of any single page — the coherence of the system behind it.
The advantage hiding in plain sight
Here's the uncomfortable truth for any company still reaching for AI site builders as a shortcut to a finished website:
The shortcut is available to everyone. Which means it's not a shortcut anymore. It's the floor.
The companies that will stand out over the next three to five years are the ones that treat brand and web as a genuine competitive investment — not a cost to minimise. The ones that build distinctive visual systems, maintain them carefully, and use AI to move faster within those systems rather than to replace them.
When everyone can generate a website in seconds, the advantage goes to the companies that built something that couldn't have been generated at all.
The short version
AI has made it trivially easy to have a website. It has made it harder to have a distinctive one.
The tools are the same. The training data is the same. The outputs converge. And in a market where trust is built on first impressions and differentiation drives every commercial conversation, converging on the same aesthetic as your competitors is a choice with real consequences.
The prompt doesn't differentiate you. The thinking does.
Invest in the thinking. Use the tools to move faster inside it.
Allsite builds websites for scaling tech companies — designed to perform, and built for the teams that have to run them.