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10 Best Landing Page Design Agencies for AI Copilots - August 2026
A copilot is a sidebar and a stream of text. Screenshotting it tells a buyer almost nothing.
The best landing page design agencies for AI copilots in 2026 are Studio Maydit, BX Studio, basement.studio, Lighthouse Digital, Lazarev, Foundey, Clay, Phantom, Fantasy, and Feely Studio. Studio Maydit and basement.studio lead for this brief, because both build pages for AI-native companies and basement.studio has shipped work for Cursor, ElevenLabs, and Harvey AI, which is the exact category this article covers. Lighthouse Digital and Fantasy are the wrong fit here, since one publishes no AI client work at all and the other publishes neither client names nor pricing.
Copilots are the hardest AI product to put on a page, and the reason is physical.
Your product does not have a screen of its own. It lives in a sidebar inside somebody else's editor, or a panel beside a document, or a box at the bottom of a CRM. The interface is a text field and a stream of words. There is nothing to photograph. A screenshot of your product is a screenshot of Visual Studio Code with a narrow column on the right.
So the usual playbook fails immediately. Product-led landing pages work because the product looks like something. Yours looks like a chat box, and every competing chat box looks the same.
That pushes everybody towards the same escape route, which is describing the outcome instead. Ship faster. Save hours. Ask anything about your codebase. Open six copilot websites and you will read those sentences six times, in the same order, over the same dark gradient. The category has converged so hard that a buyer genuinely cannot tell the products apart, and when they cannot tell products apart they pick on price or on whoever their colleague mentioned.
There is a third problem underneath both. Copilots are bought on trust, not on speed. The question in a serious buyer's head is not how fast it writes. It is how often it is wrong, what it can see, and who is accountable when it does something unhelpful in a customer-facing system. Almost no copilot landing page answers any of that, which leaves the most important objection completely unhandled.
The ten studios below are ranked on how well they suit a product that has to be understood before it can be seen.
How we picked these agencies
Every studio here was checked against five questions, using only what anybody can find without booking a meeting:
Platform depth. Can they build a page that does something, or only a page that describes something?
Proof with AI products. Has the studio shipped work for companies whose value comes out of a model, or is the AI experience secondhand?
Pricing. Is a starting figure published, or does the budget stay hidden until the second call?
Team shape. Are you buying named senior people or a team allocated afterwards?
Their own site. Does it explain a hard thing quickly, which is precisely the skill you are hiring for?
That last check is unusually predictive in this category. Explaining an abstract product in one screen is the job, and a studio's homepage is the only place you can watch them attempt it without a client editing the result.
Everything in the tables comes from public sources, mostly each studio's own site. Where a studio publishes nothing, the table says so instead of filling the gap.
What goes wrong on copilot landing pages
Three failures repeat across this category, and each one comes from trying to sell a copilot the way you would sell an app.
The page shows the interface instead of the result. A cropped screenshot of a sidebar, a floating panel, a cursor mid-sentence. It photographs badly and it communicates nothing, because the interesting part is not the box, it is what came out of it and how much work that saved. What lands instead is a short loop showing the input and the output together: the messy thing that went in, the useful thing that came back, with enough real content on screen that a practitioner recognises their own work. That is harder to produce than a screenshot and it is the single highest leverage asset on the page. Budget for it explicitly, because studios that have not built one will quietly leave it out.
Everything sounds like everything else. The vocabulary of this category is exhausted. Faster, smarter, context-aware, ask anything. Those words no longer carry information, because every competitor uses them and the buyer has read them all this month. Differentiation has to come from specifics that only you can say: the exact task you do better, the system you connect to that others do not, the kind of user who gets the most out of it. Name the workflow, not the benefit. A page that says it drafts pull request descriptions from your commit history is worth ten that say they help engineering teams move faster.
Nobody addresses being wrong. Every serious buyer knows a copilot makes mistakes, and their real question is what happens then. Can it see the private repository. Does anything leave the network. Is there a review step before it acts. How do I turn it off for one team. Pages skip all of this because it feels defensive, and the silence reads as an answer. Handling it directly is a competitive advantage while the rest of the category avoids it, and it turns a page that sells to enthusiasts into a page that survives a security review.
1. Studio Maydit: A Top-Rated Design Agency for AI Founders
Pages for AI products are the ordinary work at Studio Maydit, a web and product design studio whose clients are AI founders in the US, UK, and Europe. Builds happen in Framer, Webflow, and custom code, chosen by how interactive the demo has to be, and the same small senior team carries on into product design once the page is live. It is founder-led, so the person on the call is the person building.
One project in the record carries a number rather than an adjective. Seven months after design work aimed at a repositioned ICP, Dualite was past 100,000+ users. The recent roster runs Wave, PixelFlow, Mi-VAD, and 15 other AI and SaaS teams.
Two commercial shapes are on offer. A fixed scope, three to four weeks, for a page that has to be live by a date. A monthly retainer for teams running campaigns continuously, covering new pages, campaigns, and product design, with no long lock-in. Fixed-scope work closes with a diagnosis of what is leaking in the product, which for a copilot is usually the distance between the page and the first real session.
Check | Finding |
|---|---|
Based in | Remote, serving US / UK / EU |
Platform depth | Framer, Webflow, and custom code |
AI-sector proof | Yes. AI-native clients, published outcome on Dualite |
Pricing | Fixed scope or monthly retainer, quoted per project |
Team shape | Founder-led, small senior team |
Best fit | Copilot teams whose product is hard to show in one image |
Worth a call if your page describes the product and never quite shows it. Book a 30-minute call.
2. BX Studio
BX Studio is a New York team of 11 to 50 with a published minimum and Reddit, Headspace, ASAPP, and Verifone named. ASAPP is a genuine AI company, and a published starting figure plus a mid-sized team means a copilot launch page can be scoped and priced in a single conversation.
They publish no founding year, and Webflow is the primary platform, which limits how far an interactive product demo can go without extra engineering.
Check | Finding |
|---|---|
Based in | New York, USA |
Founded | Not published |
Team size | 11-50 |
Primary platform | Webflow |
AI-sector proof | Yes. Published AI client work |
Named clients | Reddit, Headspace, ASAPP, Verifone |
Pricing | Published minimum |
Best fit | Teams who want a priced launch page without a long build |
3. basement.studio
basement.studio works from Mar del Plata and Los Angeles, founded in 2018, building in custom code, with a published minimum and Vercel, Cursor, ElevenLabs, Harvey AI, and Scale AI named. Cursor and Harvey AI are copilots, so this is the closest direct experience in the list, and custom code means the page can run an actual demo rather than describe one.
They are a team of 11 to 50 splitting time across two continents, and their work sits at the ambitious end, which means longer builds than a straightforward launch page needs.
Check | Finding |
|---|---|
Based in | Mar del Plata, Argentina and Los Angeles, USA |
Founded | 2018 |
Team size | 11-50 |
Primary platform | Custom code |
AI-sector proof | Yes. Published AI client work |
Named clients | Vercel, Cursor, ElevenLabs, Harvey AI, Scale AI |
Pricing | Published minimum |
Best fit | Copilot teams who want a live demo built into the page |
4. Lighthouse Digital
Lighthouse Digital is a London studio working in Webflow, with a published minimum and HelloSelf, Freetrade, and IGN named. Freetrade is a consumer product that had to explain something unfamiliar to a wide audience, and the published price makes the budget question quick.
They have no published AI client work, no founding year, and no team size, so for a product in this category almost nothing relevant can be verified in advance.
Check | Finding |
|---|---|
Based in | London, UK |
Founded | Not published |
Team size | Not published |
Primary platform | Webflow |
AI-sector proof | No. No published AI client work |
Named clients | HelloSelf, Freetrade, IGN |
Pricing | Published minimum |
Best fit | UK teams who want a clear page at a known price |
5. Lazarev
Lazarev is a San Francisco firm of 51 to 200, founded in 2015, working across platforms, with a published minimum and Payoneer, Peel, Elva, and Mozayix named. They run marketing and product design together, which suits a copilot where the page has to set an expectation the first session then has to meet.
At that size you get an assigned team rather than named individuals, and their engagements assume a longer runway than a single launch page.
Check | Finding |
|---|---|
Based in | San Francisco, USA |
Founded | 2015 |
Team size | 51-200 |
Primary platform | Mixed |
AI-sector proof | Yes. Published AI client work |
Named clients | Payoneer, Peel, Elva, Mozayix |
Pricing | Published minimum |
Best fit | Teams buying the page and the first-run experience together |
6. Foundey
Foundey is a San Francisco studio founded in 2021, working Figma-first, with DemandIQ, Traycer, and Sero AI named. Traycer is a developer tool, so there is direct evidence of designing for the technical audience most copilots are sold into.
They publish no pricing and no team size, and a Figma-first product studio is not primarily a landing page builder, so the build would need to be arranged separately.
Check | Finding |
|---|---|
Based in | San Francisco, USA |
Founded | 2021 |
Team size | Not published |
Primary platform | Figma-only |
AI-sector proof | Yes. Published AI client work |
Named clients | DemandIQ, Traycer, Sero AI |
Pricing | Not published |
Best fit | Teams who want design files and their own engineers building |
7. Clay
Clay is a San Francisco studio of 51 to 200, founded in 2016, working across platforms, with a published minimum and Slack, Stripe, Google, Coinbase, and Amazon named. Explaining complicated software to a broad audience is exactly what that client list represents, and their AI work is published rather than claimed.
Their engagements assume in-house design leadership, and a firm that size is a heavy purchase for a single page however good the result would be.
Check | Finding |
|---|---|
Based in | San Francisco, USA |
Founded | 2016 |
Team size | 51-200 |
Primary platform | Mixed |
AI-sector proof | Yes. Published AI client work |
Named clients | Slack, Stripe, Google, Coinbase, Amazon |
Pricing | Published minimum |
Best fit | Well-funded teams launching a flagship product page |
8. Phantom
Phantom is a London and Auckland studio of 51 to 200, founded in 2013, building in custom code, with Diageo, SAP, Financial Times, and Zendesk named. Zendesk and SAP are both sold into security-conscious enterprises, which is the audience a copilot has to reassure rather than excite.
They publish no pricing and no team detail, and their client base is large organisations, so an early-stage copilot team is unlikely to be a priority account.
Check | Finding |
|---|---|
Based in | London, UK and Auckland, NZ |
Founded | 2013 |
Team size | 51-200 |
Primary platform | Custom code |
AI-sector proof | Yes. Published AI client work |
Named clients | Diageo, SAP, Financial Times, Zendesk |
Pricing | Not published |
Best fit | Enterprise copilots selling through procurement |
9. Fantasy
Fantasy operates from San Francisco and New York, founded in 1999, across platforms, with published AI client work. Nearly three decades of practice means they have explained unfamiliar technology to sceptical audiences many times over, which is the underlying task here.
They publish no client names, no team size, and no pricing, so a buyer comparing options has less to go on here than anywhere else in this list.
Check | Finding |
|---|---|
Based in | San Francisco and New York, USA |
Founded | 1999 |
Team size | Not published |
Primary platform | Mixed |
AI-sector proof | Yes. Published AI client work |
Named clients | Not published |
Pricing | Not published |
Best fit | Large teams commissioning a full brand and site programme |
10. Feely Studio
Feely Studio is a distributed European team of one to ten with a published minimum and Noxus, Mutiny, Luasai, and Basic Capital named. Mutiny is a conversion product, so there is evidence of working where the page itself is the thing being measured, and a small team means one senior person throughout.
They publish no founding year, one to ten people caps how much can run at once, and European hours limit overlap with a US team.
Check | Finding |
|---|---|
Based in | Distributed, Europe |
Founded | Not published |
Team size | 1-10 |
Primary platform | Mixed |
AI-sector proof | Yes. Published AI client work |
Named clients | Noxus, Mutiny, Luasai, Basic Capital |
Pricing | Published minimum |
Best fit | Teams who want one senior designer and a published price |
How to choose between them
Sort by what the page has to do that it currently cannot.
Show the product actually working. Studio Maydit or basement.studio.
Explain something complicated to a wide audience. Clay or Fantasy.
Get through a security review without a call. Phantom or Lazarev.
Ship a good page quickly at a known price. BX Studio or Feely Studio.
One test before you sign. Ask a candidate to explain your copilot back to you in two sentences after ten minutes with the product, then listen for whether they name a specific task or reach for the category words. If they say it helps teams work faster, they have described every competitor you have. If they say it turns a half-written function into a tested one without leaving the editor, they understood the product, and that sentence is worth more than the rest of the proposal.
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