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AI-built site rescue: from prototype to production

You built it with Lovable, v0, Bolt or Cursor and in the demo it looks finished. But it does not appear on Google or in AI, it has no SEO foundation, the code ownership is unclear, and the tool cannot take it the last stretch. That last 20% —being findable, fast, secure and yours— is not another prompt: it is architecture and strategy work. That is what we do.

See plans and pricing ↓ Initial diagnosis
100K+/day products built with AI the market this creates
The last 20% missing for production what AI does not give you
Invisible to Google and AI the build's typical state
Yours code, domain and deploy not locked in

What AI tools do well — and why you need the last 20%

It is worth starting by acknowledging what these tools do wonderfully, because the service is not born of dismissing them but of completing them. Lovable, v0, Bolt or Cursor are a very fast, cheap way to go from an idea to something you can see and touch: in minutes you have a presentable page, you can show it, validate whether people like it, iterate. For prototyping and for convincing yourself or a partner that the idea works, they are an enormous leap, and we encourage using them. The misunderstanding is not in using them, it is in confusing the prototype they produce with a site ready to go out into the world.

Because that is the trap: these tools take you fast to 80% —what shows on screen— and fall short precisely in the 20% that decides whether your site truly works. That 20% is what is invisible in the demo but decisive in reality: that the site is found on Google and in AI, that it loads fast, that it is secure, that it can be maintained, and that it is yours and not the tool\'s. None of those things is solved with another prompt, because they are not a screen-generation problem but one of architecture, strategy and craft. That is where a person comes in, and that is where this service comes in.

Why your AI-built site does not appear on Google or in AI

This is the symptom that most surprises whoever prototyped with AI: the site looks good, but it does not appear in any search, neither on Google nor in AI assistants. The cause is almost never the content, it is the architecture. Most of these tools generate applications that assemble the page inside the browser with a lot of JavaScript, so when Google\'s crawler or an AI engine\'s arrives, it finds a practically empty page and would have to run that code to see the content, something many crawlers do poorly or simply do not do.

On top of that underlying problem come others that come built in: the absence of structured data that explains to machines what each thing is, the lack of semantic tags, and a content structure that was not designed to be extracted or cited. The irony is hard to ignore: a site built with artificial intelligence can end up invisible precisely to artificial-intelligence search engines, which are the fastest-growing discovery channel. The fix means turning that logic around: delivering the content already served at the source, with the speed, structure and markup Google and AI need to read and cite you. It is exactly the terrain we work in.

The last 20%: what separates a prototype from a production site

When we talk about the missing 20%, it is not a phrase: it is a concrete list of fronts an AI-built prototype almost always leaves open. The first is findability: the SEO and AEO foundation —content served at the source, structured data, semantic structure, extractable FAQs— so the site appears on Google and is citable by AI. The second is real performance: that the page loads fast on mobile for real, not just in the demo, because speed decides both conversion and ranking.

The third is ownership and deployment: taking the site out of the tool\'s hosting and leaving it on a platform you control, with the domain and code in your name, not locked in. The fourth is security and maintainability: reviewing what automatic generation tends to neglect and leaving a site that can be updated and cared for over time. And the fifth, the easiest to forget, is strategy: what the site contains, for whom, how it is found and how it converts, which is a business decision and not a code-generation one. Those five fronts are the work that turns a presentable prototype into a site that performs, and they are precisely what an AI tool does not deliver on its own.

Signs your AI-built site is not ready yet

There are concrete signs that a site built with AI is not ready to be your real website yet, even if it looks finished on screen. The clearest is about visibility: you search your business or your content on Google and it does not appear, or appears far worse than its quality would deserve; you ask ChatGPT or Perplexity about your sector and your site is never cited. Another is about real performance: it loads fast on your computer, but it drags on an actual phone with mobile data, which is how most of your visitors experience it. And another is about ownership: you do not know for certain where your domain and code live, or you discover they are inside the account of the tool you prototyped with.

There are subtler but equally revealing signs. When you try to edit something beyond what the tool\'s interface allows, you get stuck. The forms look fine, but you are not sure they actually deliver the message or where it goes. There is no clear privacy page, no analytics, no way to know who comes in and what they do. None of these things is catastrophic on its own, but together they are the unmistakable signature of a prototype that was never finished for production. If two or three of these signs sound familiar, your site is in exactly the state this service addresses, and the diagnosis is what turns that vague "something is not quite working" into a concrete, prioritized list with its reason.

How we approach it: diagnose before deciding

Our first rule is not to assume but to diagnose, because the worst decision here is jumping to rebuild without knowing if it was needed, or patching something better redone. That is why everything starts with an audit of the AI-built site that answers two questions: what it is missing to be a production site, and whether to fix it on top of what you have or rebuild it on a clean base. The answer comes as a readable report, with priorities and their reason, not as an unsupported opinion.

From there, there are two honest paths. If the prototype is well on track, we take it to production on top of your own build: we add the SEO and AEO foundation, the structured data, the performance, the ownership and the deployment, without throwing away your work. If the prototype fights its architecture at the root —and some do—, we rebuild on a fast, static base that keeps your same vision and design, but that is born findable, fast and readable to AI. The decision between one and the other is not made by what suits us to charge, it is made by what the diagnosis shows, and we explain it so you understand it.

What we do not do, honestly

So you know what to expect, we also say what we do not do. We do not dismiss your tool or your prototype: the work you did with AI is a valid starting point, and we treat it as such. We do not sell you a rebuild when a fix would do, because the diagnosis exists precisely to avoid that. And we do not promise positions nobody controls —neither on Google nor in AI—; we promise to give your site the foundation it lacks today so it can compete, which is what does depend on work done well. That honesty about scope is the same we apply to this very site, built to pass the tests we recommend.

Public plans and pricing

We publish the prices because transparency is part of the product. Three levels, no lock-in, and with the option to start with just the diagnosis before committing to anything else.

Starting point

AI-built site diagnosis

USD 600one-time

To know what your prototype is missing and whether to fix or rebuild it, before investing in the full project.

  • Audit of architecture, SEO/AEO, performance and security of the current build
  • Visibility test: what Google and AI engines see of your site today
  • Review of ownership and dependence on the AI tool
  • Honest verdict: fixable on top of the current build or rebuild, with its reason
  • Readable report with a prioritized plan
  • 45-minute meeting to review findings
Delivery: 4 to 6 business days
Most common

Take to production

from USD 1,800/ project

For salvageable prototypes: we fix on top of your own build and add the last 20% it is missing to perform in production.

  • Initial diagnosis included
  • SEO and AEO foundation: content at the source, schema, extractable structure
  • Real performance optimization on mobile and desktop
  • Migration to a deployment you control, with domain and code in your name
  • Security and maintainability review of what was generated
  • Fixed scope agreed before starting, no surprises
Scope and final price after the diagnosis
When needed

Rebuild on a fast base

from USD 3,500/ project

For prototypes that fight their architecture: we rebuild on a fast static base, keeping your vision and your design.

  • Rebuild on a modern static architecture (Astro)
  • Same design and vision, now findable, fast and readable to AI
  • Complete SEO and AEO foundation from the source
  • Full ownership: domain, code and deployment in your name
  • A maintainable site ready to grow without being redone
  • Optional bilingual EN version if applicable
Scope and final price after the diagnosis

Any plan adapts to your case. The diagnosis is what defines the scope and the final price, which you see before committing. Almost always, doing it well once is cheaper than launching half-baked and redoing it later.

Why this service, and why now

This is not a passing fad, it is a deep shift in how software is built. Every day more than a hundred thousand products are created on AI tools like Lovable, v0, Bolt, Cursor or Replit, and "vibe coding" —describing what you want in natural language and letting the AI build it— has consolidated as a method. That wave has an inevitable consequence: an enormous amount of presentable prototypes that never reach production because they get stuck precisely at the last stretch, the one the tools do not solve.

That is the gap this service fills. As generating the prototype becomes free and fast, the value shifts toward what AI does not do: strategy, architecture, findability, ownership and the craft of leaving something that performs and holds up. We do not compete with the tool you used; we pick up the prototype where the tool left it and finish it. If you want to understand in depth what AI builds on its own and what still needs a person, we develop it in our guide on Lovable, v0 and Bolt.

For a business, the practical reading is simple: the barrier to having something that looks good has dropped almost to zero, so the differentiator is no longer having a pretty site, but having one that is found, loads fast and is yours. That is exactly what separates someone who used AI to make a prototype from someone who has a site that truly brings them customers. Closing that gap is the work we do, and the sooner it is closed, the sooner it starts to pay off.

Frequently asked questions about AI-built site rescue

What if I built my site with Lovable, v0 or Bolt?
Then you probably have a very presentable prototype and a site that is not yet ready for production, and those are two different things. These tools are excellent for validating an idea and generating something that looks finished in minutes, but the code they produce usually comes out with no SEO foundation, no structured data, with all the content assembled in the browser —which makes it hard for Google and AI to read—, and often tied to the tool's own hosting, with no clarity about who owns it. None of that shows in the demo, but it does when you try to make the site appear, load fast and truly be yours. We take that prototype and bring it to the point where it performs like a professional site: findable, fast and owned by you.
Why does my AI-built site not appear on Google or in AI?
Almost always because of an architecture problem, not a content one. Most of these tools generate applications that assemble the page inside the browser with a lot of JavaScript, so when Google's crawler or an AI engine arrives, it finds an almost empty page and would have to run that code to see the content, something many crawlers do poorly or simply do not do. On top of that comes the lack of structured data, of semantic tags and of a content structure designed to be extracted. The irony is notable: a site built with artificial intelligence can end up invisible precisely to artificial-intelligence search engines. The fix means delivering the content already served at the source, with the structure and markup machines need.
Do I have to redo everything or can what I already have be fixed?
It depends on the state of the prototype, and the right thing is to diagnose it before deciding, not assume. There are builds that are well on track and only need the missing foundation added —SEO, structured data, performance, ownership and deployment—, and in that case we fix on top of what you have without throwing away your work. There are others that fight their own architecture at the root, where patching ends up more expensive and more fragile than rebuilding on a clean base that keeps the same vision and design. The initial audit tells you honestly which of the two cases you are in, with its reason, so you do not pay for a rebuild when a fix would do, nor keep patching something better redone.
Do I own the code and the site?
You should, and it is one of the points we review most, because many AI-built sites end up trapped in the tool's own hosting or account. When we finish, the domain is registered in your name, the code is in your hands, and the site is deployed on a platform you control, with no dependence on the tool it was prototyped with. That ownership matters because it is the difference between having your site and having it on loan: if tomorrow you want to change provider, move the site or edit it yourself, you can. We put it in writing from the start, just as we recommend demanding from any provider.
Should I not just keep using the AI tool and be done?
For prototyping and validating, yes, and we actually encourage it: it is the fastest, cheapest way to test an idea before investing. The problem appears when you try to make that prototype your definitive site, because AI tools take you quickly to 80% —what is visible— but the remaining 20% is exactly what decides whether your site is found, loads fast, is secure, is maintainable and is yours. That last stretch is not another prompt, it is architecture and strategy work the tools do not solve on their own. The smart move is not to choose between AI or human, it is to use AI to reach the prototype fast and a person for the last 20% that turns it into a production site.
How much does it cost to take an AI site to production?
We publish it openly, because transparency is part of the product. The initial diagnosis costs USD 600 once and tells you clearly what your site is missing and whether to fix or rebuild it. If the prototype is salvageable, taking it to production on top of what you already have starts at USD 1,800 per project, with an agreed fixed scope. If rebuilding on a clean base that keeps your vision is the right call, the rebuild starts at USD 3,500 per project. These are reference ranges, not fine print: the exact scope and final price come out of the diagnosis, and you see them before committing to anything. Almost always, doing it well once is cheaper than launching half-baked and redoing it later.
Does this work for an app or a SaaS, or only for websites?
Our terrain is the content, marketing and business site, which is where you ask us most and where we add the most value: company websites, landing pages, catalogs, service sites. If what you prototyped with AI is a genuinely complex application —with user accounts, heavy server logic, real-time data—, that calls for a different architecture and we will tell you honestly, guiding you accordingly instead of forcing our fit. Many prototypes people think are "an app" are really a business site with some interaction, and for those we are exactly the answer. The diagnosis clarifies which case you are in before you invest.
Are you against AI tools?
On the contrary: we use and recommend them for what they are good at. It would be incoherent for an agency that defends modern architecture and AI visibility to be against these tools. What we defend is honesty about what they do and do not do: they are magnificent for prototyping and moving fast, and they are not designed to deliver, on their own, a findable, secure, owned production site. Our role is not to compete with the tool you used, it is to complete the stretch the tool does not cover. We explain it in depth, without selling hot air, in our guide on <a href="/en/blog/ai-builders-lovable-v0-bolt-aeo-2026/">what Lovable, v0 and Bolt build on their own and what still needs a person</a>.