AI-Generated Website Code: What Businesses Should Know Before Publishing It

Quick Summary: AI-generated website code can save time, make prototyping easier, and help turn an idea into something functional very quickly. But code that works is not automatically code that is secure, accessible, maintainable, accurate, or ready for a live business website. At Blue Canopy Marketing, we recommend treating AI-generated website code as a prototype or draft that requires professional review, testing, and a clear maintenance plan before it is introduced to a production website.

Artificial intelligence has dramatically lowered the barrier to building things online. Today, a business owner can ask ChatGPT, Claude, an AI website builder, or another coding assistant to create a landing page, calculator, form, custom WordPress functionality, or even an entire website.

We understand the appeal.

These tools are fast. They make development feel more accessible. They can help someone explore an idea without waiting for a full development cycle. In some cases, the result may look polished and work exactly as expected on the first try.

That does not necessarily mean the code is ready to publish.

At Blue Canopy Marketing, our concern is not that AI exists or that businesses are interested in using it. AI can be a valuable tool for brainstorming, prototyping, troubleshooting, and helping experienced developers work more efficiently. 

Our concern is what happens when AI-generated website code is placed online without the same review, testing, and accountability we would expect from any other custom development.

The question is not simply, “Did the AI make it work?”

The better question is, “Has a qualified person verified that it works safely and appropriately for this website, this business, and its users?”

What Is AI-Generated Website Code?

AI-generated website code is code created partly or entirely by an artificial intelligence tool in response to written instructions. Depending on the tool, that might include HTML and CSS for a webpage, JavaScript for interactive features, PHP for WordPress functionality, database queries, API integrations, or even a custom WordPress plugin.

There is an important difference between AI-assisted development and unsupervised AI website coding.

Professional developers may use AI to speed up repetitive tasks, explore different approaches, explain unfamiliar code, troubleshoot an issue, or produce a starting point. The developer still reviews the output, understands how it fits into the larger website, tests it, and takes responsibility for the finished work.

That human oversight is the part businesses should not skip.

Codacy describes AI coding assistants as useful for tasks such as code generation, error detection, refactoring, and learning. Elementor and HubSpot similarly identify speed, rapid prototyping, and easier website creation as meaningful advantages of AI-assisted web development.

Those are real benefits, especially when AI-generated website code is being evaluated by someone who understands the code it produces.

The Biggest Benefit of AI Website Coding Is Speed

There is no question that AI can accelerate the early stages of development.

A prompt can produce a rough page layout, a proof of concept, or a first version of a feature in minutes. For a business owner, that can be helpful when trying to answer questions like:

Could this calculator work? 

What might this landing page look like? 

Is this idea technically possible? 

What information would we need to provide?

This is where we think AI-generated website code can be most useful: as a prototype.

A prototype gives you something tangible to evaluate. Production code has a much higher standard.

Production code needs to function consistently across devices and browsers. It needs to work with the rest of the website, follow accessibility requirements, protect data, avoid conflicts, load efficiently, and remain maintainable as other technology changes around it.

Something can pass the “it works on my screen” test and still fail several of those requirements.

Elementor, for example, highlights rapid prototyping as one of AI development’s major advantages while also acknowledging that generic AI-generated scripts can introduce security vulnerabilities or unnecessary code if they are placed directly into a site without the appropriate safeguards.

Working AI-Generated Website Code Is Not Necessarily Secure Code

Security is one of the biggest reasons Blue Canopy Marketing does not recommend copying AI-generated website code directly into a live website.

AI can generate functional code while missing security considerations that are not obvious from the front end.

The risk becomes more significant when a feature accepts user input, connects to a third-party service, uses an API, accesses the WordPress database, handles login information, changes user permissions, stores data, or gives someone the ability to modify functionality through the WordPress backend.

A feature can look completely normal to a website visitor while a vulnerability remains hidden underneath.

The Open Worldwide Application Security Project, better known as OWASP, now provides specific guidance for secure coding with AI. Its recommendations include reviewing AI-generated changes, auditing dependencies, protecting credentials, using appropriate testing environments, and assigning a human owner who is accountable for AI-assisted code before it is deployed.

That does not mean every piece of AI-generated website code is insecure. Human developers can write insecure code, too.

The problem is that a person who does not understand development may have no reliable way to determine whether the code is safe. Asking the same AI that generated the code, “Is this secure?” is not an independent security review.

Accessibility, Mobile Behavior, Performance, and SEO Still Need Testing

A webpage can look right visually and still create problems for users.

Custom AI-generated website code may need to be reviewed for semantic HTML, keyboard navigation, form labels, focus behavior, screen-reader compatibility, color contrast, responsive behavior, touch targets, status messages, and other accessibility considerations.

Accessibility is particularly important because compliance cannot be determined simply by looking at a page. The World Wide Web Consortium’s WCAG standards define specific success criteria for accessibility, with Level AA requiring applicable Level A and Level AA criteria to be satisfied.

Mobile responsiveness also needs real-world testing. AI-generated website code may look fine at the screen size on which it was created but behave differently on a phone, tablet, ultrawide monitor, or less common browser.

Performance is another consideration. Generated code may introduce unnecessary scripts, duplicate styling, excessive dependencies, or functionality that conflicts with an existing theme or plugin.

And then there is SEO.

AI-generated website code is not automatically bad for SEO, and using AI is not itself a search-engine penalty. But automated generation also does not guarantee appropriate heading structure, schema markup, crawlability, indexation controls, page speed, internal linking, metadata, or other technical SEO elements.

HubSpot notes that although many AI website builders can handle basic SEO tasks, more advanced technical SEO and AEO requirements may offer considerably less flexibility depending on the platform.

For a business that depends on its website for leads, sales, information, or customer service, “the page loads” is only the beginning of quality assurance.

AI Website Coding Can Save Money Upfront and Cost More Later

One of AI website coding’s strongest selling points is cost.

If an AI tool can create something in five minutes, why pay a developer to build it?

Sometimes the answer is that the prototype really is simple. Other times, the cost has simply moved from development to troubleshooting and maintenance.

Custom AI-generated website code may take additional time for a developer to understand later, especially when no developer was involved in the original creation process.

Consider an AI-created WordPress plugin. It may perform exactly the function the business requested today. But who maintains that plugin when WordPress changes? What happens when PHP is updated? Has it been tested against the website’s other plugins? What if the API it relies on changes? Who checks it for vulnerabilities? Who updates the code?

A reputable, established plugin generally has an update process, documentation, compatibility testing, and a development team responsible for ongoing support. A one-off plugin generated through a conversation with an AI tool may have none of those things.

Even static HTML deserves some context. Static websites themselves are not inherently bad. In fact, properly developed static sites can be fast and secure. But an AI-generated static webpage can become a maintenance problem if a business expects employees to manage content through WordPress and suddenly discovers that part of the website sits outside the normal editing process.

The maintenance burden of AI-generated website code becomes especially important when the person who created it is no longer available or does not understand what the AI actually built.

Why Reviewing Someone Else’s AI Code May Cost Extra

When Blue Canopy Marketing is asked to support code, webpages, or plugins created outside of our normal development process, additional review may be necessary before our team can safely maintain or modify them.

That review can mean understanding how the code works, examining database or API interactions, reviewing third-party dependencies, checking for conflicts, testing mobile behavior, evaluating accessibility and security, and determining how future updates will be handled.

In some cases, reviewing and repairing AI-generated website code may take longer than building the functionality correctly within the website’s existing framework.

The additional cost is not a punishment for using AI. It reflects the amount of work required for a developer to understand and responsibly support code they did not create.

In other words, “free code” is not always free to own.

Compliance and Liability Matter More for Some Industries

The stakes become higher when AI-generated website code affects health, financial, legal, or other consequential information.

Consider a pharmacy website with a custom calculator.

If the calculator simply estimates shipping, the level of risk may be relatively limited. If it interprets a patient’s information, recommends a dose, suggests a therapy, screens someone for eligibility, or presents information that could reasonably be interpreted as clinical guidance, the questions change considerably.

Who validated the calculation?

Who reviewed the recommendations?

What information is being collected?

Where is that information stored?

Does it leave the website?

Who has access to it?

Is a disclaimer appropriate? More importantly, is a disclaimer actually sufficient for what the tool does?

Those questions should not be answered solely by the AI tool that generated the functionality.

For healthcare organizations, HIPAA may also become relevant depending on who is operating the website, what information is collected, and how that information is handled. HHS explains that the HIPAA Rules apply to covered entities and business associates and that regulated entities must appropriately protect PHI handled through websites, applications, vendors, and other technologies.

A disclaimer can be part of an appropriate implementation, but a disclaimer is not a substitute for validating the functionality or determining which privacy, regulatory, or professional requirements apply.

Custom web applications can also introduce questions involving cyber insurance, privacy policies, third-party vendors, security controls, and data-handling practices. These considerations vary significantly by business and functionality, which is why legal counsel, IT professionals, compliance experts, or insurance providers may need to be involved for higher-risk projects.

Who Is Responsible for AI-Generated Code on a Business Website?

This may be the most important question of all.

AI does not maintain your website after launch.

It does not take responsibility for the feature if something goes wrong. It does not monitor future WordPress updates, answer your cyber insurance questions, check whether a third-party API changed, or respond when a customer discovers that a feature does not work with assistive technology.

Someone needs to own the outcome.

If a client creates a page, plugin, calculator, or other feature with AI and asks a web developer to add it to an existing website, a responsible developer should not be expected to paste it into the site blindly.

The AI-generated website code needs to be reviewed before the developer can reasonably support it.

Sometimes that review will show that the feature can be used with minor adjustments. Other times, the safer and more efficient option may be rebuilding it with established WordPress functionality, a vetted plugin, or developer-written code rather than trying to validate an unknown solution line by line.

This also helps answer the question of where a web developer’s responsibility begins.

When a developer agrees to integrate and maintain custom functionality, that developer needs enough understanding of the code to support it responsibly. That is why externally created or AI-generated website code may require a separate review and additional development scope before it becomes part of a managed website.

Our Approach to AI Website Coding at Blue Canopy Marketing

Blue Canopy Marketing does not recommend using AI-generated website code as a substitute for professional web development on a live business website.

That does not mean we believe AI has no place in development.

There is a meaningful difference between a professional developer using AI as one tool within a controlled process and a business publishing whatever an AI tool produces because the page appears to work.

AI can help research a problem. It can help developers brainstorm. It can accelerate repetitive tasks. It can create useful prototypes. It can help explain unfamiliar code or test potential approaches.

But AI-generated website code should still have a qualified human responsible for the final implementation.

For production websites, Blue Canopy prioritizes solutions that can be tested, maintained, updated, and supported over time. That may mean using established WordPress functionality, well-supported plugins, or custom development when a project genuinely requires it.

If AI contributes to the process, the finished work still needs human oversight.

This becomes especially important for ecommerce websites, user accounts, custom forms, calculators, sensitive information, healthcare content, third-party integrations, or other website functionality where an error can create consequences beyond a broken layout.

Before You Add AI-Generated Website Code to Your Website

Before publishing AI-created code, ask yourself:

• What exactly does the code do, including what happens behind the scenes?
• Does it collect, store, transmit, or modify information?
• Does it connect with an API, database, external service, or third-party library?
• Has a qualified developer reviewed the complete code?
• Has it been tested on a staging website for security, accessibility, responsive behavior, performance, browser compatibility, and conflicts?
• Who will maintain it when WordPress, plugins, browsers, APIs, or other technology changes?
• Is there a tested backup and rollback process if something goes wrong?
• If it provides health, financial, legal, or other consequential information, who has validated the logic and reviewed the associated compliance considerations?

If those questions cannot be answered, the AI-generated website code is probably still a prototype.

AI Can Help Build the Idea. A Professional Still Needs to Own the Outcome.

AI has made web development more accessible, and there are real benefits to that.

Business owners can explore ideas, visualize features, create prototypes, and better understand what may be technically possible. Experienced developers can use AI to work more efficiently and spend more time solving the larger problems that require human judgment.

But a business website is not simply a collection of webpages that look right.

It is an ongoing system that needs to remain secure, usable, accessible, searchable, maintainable, and appropriate for the business or organization it represents.

That is why our position at Blue Canopy Marketing is straightforward:

AI-generated website code can be a useful starting point. It should not be assumed to be production-ready simply because it works.

If you are considering adding AI-created functionality to an existing WordPress website, or you already have AI-generated website code that needs to be evaluated, Blue Canopy Marketing’s website development team can help determine the safest, most practical, and most maintainable way to accomplish your goal.

Frequently Asked Questions About AI-Generated Website Code

Is AI-generated website code safe?

AI-generated website code can be safe, but safety cannot be determined simply because a feature works. The code should be reviewed and tested for security, dependencies, data handling, permissions, compatibility, and other potential vulnerabilities before being added to a production website.

Can ChatGPT or Claude build a website?

Yes. Generative AI tools can create HTML, CSS, JavaScript, components, page layouts, and other code used to build webpages and website features. They can also generate surprisingly sophisticated functionality. The resulting code should still be treated as development work that requires testing, professional review, and ongoing maintenance.

Can I use AI to create a WordPress plugin?

AI can generate WordPress plugin code, but that does not automatically make the plugin secure, compatible, or maintainable. Before installing AI-generated website code as a plugin on a live site, a developer should review its interactions with WordPress, the database, user permissions, third-party services, and other plugins.

Will an AI-coded website hurt my SEO? 

Not automatically. Search performance depends on the quality and technical implementation of the website, not simply whether AI helped create it. AI-generated website code should still be reviewed for crawlability, page speed, heading structure, structured data, mobile performance, internal linking, metadata, and other technical SEO factors.

What should I do if AI-generated code is already on my website?

Do not assume it automatically needs to be removed. Make sure your website developer knows that it is there and what it was intended to do. The next step should be reviewing the AI-generated website code within the context of the complete website, identifying any data or third-party connections, testing it, and determining whether it can be safely maintained or should be rebuilt.

Is AI website coding appropriate for healthcare or pharmacy websites?

AI can be useful for prototyping, but the review threshold should be considerably higher when functionality handles patient information or provides health-related calculations, recommendations, or guidance. Technical review may need to be paired with clinical, privacy, compliance, legal, and insurance review depending on what the feature does.

Does Blue Canopy Marketing use AI?

Yes, Blue Canopy uses AI. AI may be useful as an assistive tool during research, troubleshooting, ideation, prototyping, or other parts of a professional development workflow. Blue Canopy Marketing does not view AI output as a substitute for professional web development or review. The finished website or feature still needs to meet our standards for security, accessibility, performance, maintainability, and ongoing client support.