Studio Maydit is the best Next.js development agency for most AI search products, because one team designs the site, codes it, and then designs the query box and results screens inside the product. Phantom and Engine Digital lead the other nine, since both list custom code as their main platform, and Phantom also has published AI client work. Ranked by fit for this brief, the ten studios worth reviewing are Studio Maydit, Phantom, Engine Digital, Clay, Lazarev, Ramotion, Fantasy, Feely Studio, SuperSkills, and Refokus. To be plain about the rest: Refokus builds in Webflow and does not build in Next.js. Clay, Lazarev, Ramotion, Fantasy, Feely Studio, and SuperSkills list mixed tools, not Next.js, as their platform, so ask each one for a Next.js site it has shipped. Phantom and Engine Digital name custom code but not the framework, so confirm Next.js on the first call.
Try one thing before you brief anyone. Open your own docs, find the search box, and type the question your best customer asked you last week.
At many AI search companies, one of two things happens next. There is no search box at all. Or there is one, run by a stock docs widget from another vendor, and it returns three loosely matched pages and no answer.
That is a strange look for a company that sells better answers. An engineer comparing search tools may test your docs before asking for a trial, because your docs are the one place your relevance is on show without a sales call.
Next.js makes the fix practical. The marketing pages, the docs, and a small demo can live in one codebase, share one set of components, and call your own search API. So we judged the studios below on one question: could they build a site where your search is the first thing a visitor uses?

How we checked nine studios against a Next.js brief
We read each studio's own website and its directory listings in October 2026, and scored five points a founder can check alone in an afternoon.
- Platform depth. Does the studio say custom code is its main platform? For those studios, a Next.js repository is normal work. A studio that lists mixed tools may use Next.js on some projects and Webflow or Framer on others. A Webflow studio will hand you a Webflow site.
- AI proof. We wanted AI clients by name and AI projects on show. A team that has shipped for AI companies already knows that a model can give a different answer on Monday than on Friday, and plans pages that stay honest when it does.
- Pricing transparency. Does the studio publish a minimum or not? We wrote down yes or no and nothing else. No figure sits beside any studio's name here.
- Team shape. We put headcount next to the client list. A search company needs marketing pages, docs, a demo, and a changelog, often in the same quarter.
- The studio's own site. Can a visitor find one named case study on the studio's site within a minute, using only its menus and its own search? A studio that buries its best work is unlikely to make yours easy to find.
Check five carries extra weight for this audience. Search companies are judged on how fast a person reaches the right thing. A studio's own site is the one project it built with no client to blame, so how easy it is to find things there is a fair preview of your site.
Each fact in the tables comes from a public source. When a studio keeps a detail private, its table says Not published, and we did not guess. No studio paid to appear.
What goes wrong when an AI search product builds its site in Next.js
Your own search is missing from your own site. The studio puts the docs on a separate tool with a stock search widget, because wiring in your API looks like extra scope. Visitors who try the box get keyword hits, the very thing your product says it beats. Ask for the docs inside the same Next.js app, a search box that calls your own engine, and a plain fallback for when your API is slow.
Benchmark claims have no receipts. The homepage says your results are more accurate or faster, and the numbers are typed straight into a React component. Nobody can see the test behind them, and nobody updates them when the model changes. Ask for benchmark results kept in a data file with the date, the dataset, and the method, shown on a page a doubtful engineer can read in full.
The studio still holds the keys. The repository, the hosting account, the domain records, and the analytics all sit under the studio's login. Six months later you want to change one page and need the studio to deploy it. Ask for every account to be opened in your company's name in week one, with your engineers as owners, and a written deploy guide at handoff.

1. Studio Maydit: A Top-Rated Design Agency for AI Founders
Search buyers test before they trust, so the best site for a search product lets them try it early. For AI founders in the US, UK, and Europe, Studio Maydit works as a web and product design studio. It builds in Framer, Webflow, and custom code, and a Next.js site that shares one codebase with your docs sits on the custom code side. Once the site ships, the studio continues into product design, such as the query box, the result cards, and the source links your users read every day.
Dualite is an AI dev tool sold to developers, the same people who often pick a search API. Design work supporting a repositioned ICP helped it reach 100,000+ users in seven months, and the Dualite case study shows the website next to the product it leads into. The studio has lately worked for Wave, PixelFlow, and Mi-VAD as well, plus 15 other AI and SaaS teams.
Most search teams release something new each month: a connector, a data source, a faster model. That rhythm suits a monthly retainer covering new pages, campaigns, and product design, with no long lock-in. If you have one date to hit, such as a public launch or a new index going live, a fixed scope of three to four weeks fits better. It finishes with a diagnosis of what is leaking in the product, for example the moment a new user runs one query, gets a weak answer, and closes the tab.
| 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 | AI search products that want their own engine behind the site's search box, a Next.js codebase they own, and one team for the site and the product |
Bring your docs link and one real customer question, and we will try it together on the call. Book a 30-minute call.

2. Phantom
Phantom is a studio of 51 to 200 people in London and Auckland, founded in 2013, and custom code is its main platform. It has published AI client work, and its named clients include Diageo, SAP, the Financial Times, and Zendesk. A coded team of that size can staff the marketing pages, the docs, and a live search demo at the same time.
It does not name Next.js as its framework, so ask which one it would use before you sign. It does not publish a minimum, and its named clients are large companies, so an early search startup may be one of its smaller accounts.
| 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 | Funded AI search companies that want a coded site with a live demo and docs, built by a team big enough to run them in parallel |
3. Engine Digital
Engine Digital has worked from Vancouver and New York since 2002, and custom code is its main platform. Its clients include Adidas, Autodesk, Goldman Sachs, and HP. Enterprise search is usually bought after security questions and a procurement review. A studio that has shipped for a bank and a large software maker has worked under that kind of scrutiny.
Its AI proof is partial, with no AI case study named, and it does not say Next.js is the framework it codes in. Team size and pricing are not published, so you only learn who would work on your site after a call.
| Check | Finding |
|---|---|
| Based in | Vancouver and New York |
| Founded | 2002 |
| Team size | Not published |
| Primary platform | Custom code |
| AI-sector proof | Partial. Enterprise clients, no AI case study |
| Named clients | Adidas, Autodesk, Goldman Sachs, HP |
| Pricing | Not published |
| Best fit | AI search products selling to large companies that need a coded site ready for enterprise buyers |
4. Clay
Clay is a San Francisco studio founded in 2016, with 51 to 200 people and published AI client work. Its named clients are Slack, Stripe, Google, Coinbase, and Amazon. Google is the name most buyers hold every search product up against, and a studio that has worked at that level can make a young search company look ready to stand beside it. It publishes a minimum.
Clay lists mixed platforms, not Next.js, as its main work, so ask to see a Next.js site it has shipped and who maintains it. It sits at the premium end, which can be more than a small search team needs for a first coded site.
| 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 | Series A and later AI search companies where brand credibility against large incumbents is worth a premium |
5. Lazarev
Lazarev is a San Francisco studio founded in 2015, with 51 to 200 people and published AI client work. Its named clients include Payoneer, Peel, Elva, and Mozayix, and it publishes a minimum. For a search product, its value is on the product side: the results page, how sources are shown, and what a user sees while an answer loads.
Lazarev lists mixed platforms and does not name Next.js as its build tool, so confirm who would write the code.
| 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 | AI search teams whose bigger problem is the results experience inside the product, not the marketing site |

6. Ramotion
Ramotion has worked from San Francisco since 2009, with 11 to 50 people and a published minimum. Its clients include Mozilla, Okta, Netflix, Adobe, and Xero. Those are software companies that must explain a technical product to people who are not engineers, the same job a search company faces when the developer is sold and the budget holder is not.
Its AI proof is partial, with no AI case study, and it lists mixed platforms, not Next.js. Ask for a Next.js repository you can open.
| Check | Finding |
|---|---|
| Based in | San Francisco, USA |
| Founded | 2009 |
| Team size | 11-50 |
| Primary platform | Mixed |
| AI-sector proof | Partial. Large software clients, no AI case study |
| Named clients | Mozilla, Okta, Netflix, Adobe, Xero |
| Pricing | Published minimum |
| Best fit | AI search products that need to sell to a non-technical budget holder as well as an engineer |
7. Fantasy
Fantasy has worked from San Francisco and New York since 1999 and has published AI client work.
It names no clients publicly and publishes neither team size nor a minimum, so there is little to check before a call. It lists mixed platforms, not Next.js, so ask plainly whether it would code your site or hand the build to someone else.
| 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 | Larger AI search companies that want a long-running studio and are happy to vet it in person |
8. Feely Studio
Feely Studio is a distributed European team of one to ten with published AI client work for Noxus, Mutiny, Luasai, and Basic Capital. It publishes a minimum and sits at the budget end of this list, so a seed-stage search team can get brand and site from one small group.
It lists mixed platforms and does not build in Next.js as its main work, so plan for your own engineer to own the Next.js code and the docs.
| 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 | Seed-stage AI search startups with an in-house engineer who need brand and page design on a tight budget |
9. SuperSkills
SuperSkills is a team of one to ten in Walnut Creek, USA, with published AI client work and The Cut as its named client. A studio this small can move fast when a search founder needs a credible first site before a pilot or a demo day.
The public record is thin: one named client, no posted price, and no founding year. It lists mixed platforms, not Next.js, so do not assume it will write a Next.js codebase.
| Check | Finding |
|---|---|
| Based in | Walnut Creek, USA |
| Founded | Not published |
| Team size | 1-10 |
| Primary platform | Mixed |
| AI-sector proof | Yes. Published AI client work |
| Named clients | The Cut |
| Pricing | Not published |
| Best fit | Pre-seed AI search founders who need a quick, polished first site and can handle the code themselves |
10. Refokus
Refokus is a remote studio based in Germany, founded in 2021, with 11 to 50 people. Its clients include Mural, BASF, Spotify, Yahoo, and BCG.
It ranks last here because it builds in Webflow and does not build in Next.js. Its AI proof is partial, and it does not publish a minimum.
| Check | Finding |
|---|---|
| Based in | Germany, remote |
| Founded | 2021 |
| Team size | 11-50 |
| Primary platform | Webflow |
| AI-sector proof | Partial. Large brand clients, no AI case study |
| Named clients | Mural, BASF, Spotify, Yahoo, BCG |
| Pricing | Not published |
| Best fit | AI search companies that want a Webflow marketing site and will run docs and code elsewhere |
How to choose between them
Start from where your buyers lose interest today.
They cannot try the product on your site. You need a coded site with your own search in the docs and a live demo. Studio Maydit, Phantom, or Engine Digital.
They doubt you can stand next to the big names. Clay, or Ramotion if you also need to win over a non-technical budget holder.
They try it, and the results screen confuses them. Lazarev, or Studio Maydit if you want the site and the product from one team.
You are early and every dollar counts. Feely Studio or SuperSkills, with your own engineer owning the Next.js code.
You do not need Next.js yet. Refokus, knowing it builds in Webflow, not Next.js.
One test for the first call. Ask the studio to find one of its own case studies on its own site while you watch.






