Sam Na writes practical guides on AI workflows, digital productivity, and building useful systems that turn ideas into reliable online experiences.
You can build a website with AI without starting from a blank design or writing every line of code. The harder part is turning that first generated result into a website people can understand, use, and trust. A successful project connects five decisions: what the site should accomplish, what AI should build, where it should live, what must be tested, and who will maintain it afterward.
The most useful way to build a website with AI is to treat generation as one part of a complete workflow. AI can help plan pages, create layouts, write code, shape content, and identify mistakes. But a website still needs a clear purpose, trustworthy information, working interactions, an appropriate publishing environment, and ongoing maintenance.
Imagine describing a small business to an AI assistant and receiving an attractive homepage a few moments later. The colors feel right, the headline sounds confident, and the layout includes polished service cards and a contact button.
At first glance, it looks like most of the website is finished.
Then you begin asking ordinary questions. Does the homepage explain the actual service clearly? Are the prices and claims accurate? Where does the contact button lead? Can the owner update the site without asking AI to rebuild it? What happens when the business adds a second location or a new service?
These questions reveal the difference between generating a website and creating a website that is ready for real use.
Modern tools have made the first part considerably easier. ChatGPT, Claude, Gemini, Grok, and Microsoft Copilot can help turn natural-language instructions into web interfaces, code, or working prototypes. Dedicated platforms such as Wix, Webflow, and Squarespace can combine AI-assisted creation with visual editing and managed publishing.
The amount of work you can complete without writing code depends on the tool and the project. A simple portfolio or informational website may fit comfortably inside a visual builder. An application with accounts, complex integrations, or custom business logic may need more development work even when AI generates much of its code.
The central challenge is making those choices in a sensible order.
Begin by deciding what visitors need. Create only enough of the website to prove the essential experience. Choose a platform that supports the way the site will grow. Verify the important details before inviting people to use it.
The real measure of AI website creation is not how quickly the first page appears. It is how confidently you can explain what the site does, change it when necessary, and trust its important functions.
Plan the website before asking AI to build it
The easiest mistake in AI website creation is starting with the part that gives immediate visual feedback.
A prompt such as “Create a modern website for my business” can produce something attractive without knowing what the visitor actually needs. The AI may choose a standard navigation menu, write broad marketing claims, add common business sections, and place a contact button at the bottom.
None of those choices is necessarily wrong. The problem is that they may have been made without enough information to justify them.
A website for a consultant, for example, should help potential clients understand the service and decide whether an inquiry is worthwhile. A recipe website needs to make its content easy to discover and use. A software product site may need to help visitors evaluate features, pricing, and compatibility before signing up.
Those sites can all be generated from a prompt. They should not all follow the same information structure.
Define the visitor's problem before the page layout
Start with the person who is most likely to visit the site. What are they trying to find, compare, understand, or accomplish?
If you are creating a local gardening service website, potential customers may want to know whether you serve their area, what work you offer, how appointments are arranged, and how to request an estimate. A large animated homepage cannot replace those answers.
For a personal portfolio, the questions may be different. A prospective client wants to see relevant work, understand the person's capabilities, and find a straightforward contact method.
The primary audience should guide the amount of detail, the organization of information, and the strongest next action. A site can serve secondary audiences, but trying to satisfy every possible visitor equally often produces generic content.
Describe the outcome in terms of a visitor's task rather than a vague ambition such as building an online presence. A concrete purpose gives every major page a reason to exist.
Choose the main visitor group and identify what that person already knows. A beginner, an experienced buyer, and an existing customer may need very different explanations.
Decide whether the most useful next step is reading another resource, requesting information, viewing work, subscribing, booking, or starting a service.
Turn visitor questions into a sensible page map
A sitemap is more useful when it comes from visitor needs rather than a standard menu template.
Write down the questions someone must resolve before completing the main task. Group closely related questions. Then decide which groups need their own page and which belong together on a single page.
AI is helpful at this point because it can organize an untidy collection of questions, identify overlaps, and propose several ways to group information. It can also challenge page names that sound impressive but reveal little about the content.
Still, avoid treating a generated sitemap as a final authority. An AI model may suggest more pages than the site needs because a longer hierarchy appears comprehensive. Every additional page creates another place where information must be written, verified, and maintained.
For a small first website, clarity is usually more valuable than elaborate navigation. The site needs enough pages to support meaningful visitor tasks, not enough pages to make the project appear large.
Give each important page a separate responsibility
A homepage should orient the visitor and make the main paths obvious. It does not necessarily need to contain the full explanation of every service, feature, or project.
A service page should help someone evaluate that specific service. An About page may explain the people, experience, or approach behind the offer. A contact page should make the next step easy to complete.
These responsibilities should complement one another.
When two pages answer almost the same question for the same visitor, consider whether they need to be separate. Otherwise, AI may create several polished pages that repeat the same message with slightly different wording.
That kind of repetition makes maintenance harder and rarely helps visitors understand the business better.
The challenging part is often deciding what deserves a page before choosing a template. A practical way to resolve that uncertainty is to map the visitor's questions first. The process is developed in AI Website Planning: Structure and Content Before You Build.
With an approved sitemap and a short brief for each important page, AI can start building from decisions you have examined rather than assumptions it has invented.
Know what belongs in the first version
A new website rarely needs every planned feature on its first day.
Separate essential content from later improvements. If the business needs visitors to understand three services and submit an inquiry, those functions should work before you spend time building a complex testimonial carousel or personalized dashboard.
This is not an argument for making the website look unfinished. It is a way to put effort where it affects the first real visitor experience.
A focused first version also gives the AI fewer competing instructions. The result is easier to inspect, and later changes are less likely to disrupt unrelated parts of the site.
Decide the visitor's task, primary action, and page responsibilities before asking AI to generate the interface. A small, clear plan gives AI better instructions and prevents unnecessary pages from becoming permanent maintenance work.
Build with ChatGPT, Claude, Gemini, Grok, or Copilot
Once you have a page plan, AI can turn it into something visible and interactive.
The tools differ in the environment they provide around the generated result. Some offer a direct way to preview and publish a website. Others are strongest at prototyping, editing code, or creating lightweight applications inside an existing productivity platform.
These differences affect how much additional work you need before a project becomes publicly available.
Rather than searching for one model that does everything, decide what kind of artifact you need first. A personal homepage, an interactive calculator, a client portal, and a multi-page marketing website may require different creation and publishing workflows.
Match the AI tool to the result you need
ChatGPT: ChatGPT Sites provides a direct workflow for creating, previewing, refining, and publishing websites or lightweight apps in eligible ChatGPT environments. It is relevant when you want the work to remain close to the conversation and prefer not to assemble a separate development setup for a supported project.
Claude: Claude Design can help develop landing pages and interactive prototypes, refine their visual direction, and export standalone HTML. Claude Code offers a route into a codebase when the approved design needs more substantial implementation. The combination can be useful when interface exploration and production development need different kinds of attention.
Gemini: Gemini Canvas supports creating and editing web experiences, inspecting code, reviewing previews, and refining selected elements. This makes it helpful for turning an idea into a visible prototype while keeping the code and conversational editing close together.
Grok: Grok Build can generate working websites and apps, refine them in conversation, and publish supported projects to a hosted link. It also provides options such as custom domains and GitHub export, which can help when a project needs a different development workflow later.
Microsoft Copilot: Copilot Pages can generate runnable code for lightweight prototypes, with an optional handoff into App Builder for supported applications. That is useful for certain interactive productivity tasks, particularly within the Microsoft 365 environment. It should not be assumed to provide the same public website hosting model as a dedicated website platform.
Features, availability, publishing options, and account requirements can change. Before committing to a particular workflow, check what is available in the account and environment you actually intend to use.
A supported website creation and publishing environment can reduce the number of separate services you need to configure. ChatGPT Sites and Grok Build are examples of tools with direct site-publishing capabilities.
Claude Design and Claude Code offer a way to separate interface exploration from implementation. That distinction matters when the website needs maintainable code and deeper customization.
Gemini Canvas and Copilot Pages can help turn descriptions into working interfaces or prototypes, although their sharing, application, and hosting models are not interchangeable.
Give the first build a narrow, testable goal
A surprisingly effective way to create a website with AI is to begin with one page that proves the essential design direction and interaction.
Suppose you want a website for a small photography business. The first version may need a homepage with a clear introduction, selected work, service categories, and an inquiry action.
You can ask AI to create those elements using approved descriptions and real project details. Once the page appears, check the order of information and whether the intended action makes sense.
Only then expand into separate portfolio collections, service pages, and other planned content.
This approach also makes revisions easier. If you dislike the visual direction, you can adjust it before the same styling spreads across a dozen pages. If a component behaves incorrectly, you can fix it before the interface becomes more complicated.
Tell AI what it must not invent
An AI website generator often tries to produce a complete-looking page even when some business details are missing.
That can lead to fictional testimonials, unsupported performance numbers, invented team members, fabricated client logos, or pricing that nobody approved.
Use real source material wherever possible. When necessary information is missing, ask the AI to flag the missing decision rather than quietly create an answer.
You can also protect approved content during design revisions. Tell the AI to change spacing or layout without rewriting verified copy, navigation labels, or policy information.
Generated code and generated facts require different kinds of review. Code must be tested for actual behavior. Business claims, credentials, prices, and policies must be checked against reliable source material. Neither becomes trustworthy simply because the AI presents it confidently.
Move from first generation to controlled revisions
Once the first version works, avoid replacing the entire website every time you notice a small issue.
Change one type of problem at a time. Clarify the hero message, then inspect it. Adjust the mobile card layout, then test it. Fix an interaction, then repeat the task that originally failed.
Preserve a working version before large changes. Some platforms provide version history; code-based workflows may use repository commits or saved deployments.
The ability to return to a previous version is particularly valuable in conversational development because one broad instruction can alter several components unexpectedly.
Knowing which model can produce a preview is useful, but the actual controls, publishing steps, and handoff options are different. The practical creation paths for all five tools are covered in Build a Website with AI: ChatGPT, Claude, Gemini, Grok & Copilot.
The best initial tool is the one that can create the artifact you need while leaving a clear way to revise, verify, and eventually maintain it.
Choose AI based on whether you need a hosted site, a visual prototype, a code project, or a lightweight application. Generate the smallest useful version, provide factual source material, and refine specific parts without repeatedly discarding what already works.
Choose an AI builder or no-code website platform
Creating the first version of a website and choosing where that website will operate are related decisions, but they are not identical.
You might generate an impressive interface in a general AI tool and later decide it needs a CMS, hosting, domain management, forms, or collaboration features that the original environment does not provide.
You might instead create the entire site inside a dedicated website builder, accepting less flexibility in exchange for a more integrated operating environment.
Neither choice is universally better.
The right platform depends on what the website needs after its first public launch.
Understand why AI generation and no-code editing overlap
The phrase AI site builder no longer describes only a tool that generates code from a prompt.
Dedicated platforms can use AI to create a starting page, suggest sections, generate text, or establish a visual direction. The generated result then remains inside an editor where it can be modified manually.
Wix offers AI-assisted creation alongside visual editing and integrated business features. Webflow combines AI site generation with a design environment suited to structured layouts and CMS-driven content. Squarespace offers AI-guided website creation followed by visual editing. Framer also brings AI-assisted generation and visual design together.
That combination is useful because the tasks people perform after launch are not always best handled through a prompt.
Changing a sentence, updating a service, adding an article, or moving a section should not require reconstructing the entire page.
In many cases, the better platform is the one that makes ordinary edits easy rather than the one that generates the most visually impressive first draft.
Think about the website's second year, not just its first day
A personal portfolio may receive occasional updates. A local service business may change hours, contact details, and offerings regularly. A publication may add new articles every week. An online store may require ongoing changes to products, orders, and customer information.
Those patterns create different requirements.
If the site has many repeating types of content, a content management system can be more important than a flexible homepage generator.
If the site handles bookings or online sales, built-in business features and reliable integrations may matter more than having complete control over the front-end code.
If designers will maintain the site, precise visual controls and reusable components may deserve higher priority. If the owner will make updates alone, a simpler editing experience may be a better fit.
A clear page structure, responsive design, reliable hosting, and easy content changes may be more valuable than an elaborate development setup.
Look at how the platform handles collections, articles, categories, templates, internal links, and updates across many pages.
Forms, bookings, payments, customer management, marketing tools, and permissions may influence the platform decision as much as page design.
When the experience depends on unusual behavior, complex data, or specific infrastructure, a code-oriented workflow may be more appropriate than a conventional visual site editor.
Check the difference between exporting content and exporting a working site
Portability is easy to misunderstand.
A platform may allow you to export written content or product records without allowing you to download the complete working website as independently hosted code.
Even when a platform supports front-end code export, CMS features, forms, commerce systems, and other hosted functionality may not travel with those files.
For example, Webflow supports code export under qualifying Workspace plans, but its platform-backed CMS and several other features are not included as fully functioning independent services in the exported site.
Other hosted builders have their own restrictions. Those differences should be evaluated before the project accumulates hundreds of pages or becomes deeply integrated into business operations.
Moving a domain name is also different from moving the website. A custom domain gives you control over an address; it does not necessarily make the site's editor, design system, and hosted features portable.
The generated homepage may not reveal the most important difference between them. Editing, CMS, hosting, business tools, and migration options are more meaningful over time. Those tradeoffs are examined in AI Website Builder vs No-Code: Wix, Webflow, Squarespace & More.
Before paying for a larger plan or moving all your content, test the tasks you expect to repeat. Routine maintenance provides a much stronger basis for choosing a platform than a single generated demonstration.
Include operating costs in the decision
The price of creating a website is not always the cost of operating it.
A free preview may be useful for experimentation while a custom domain, premium features, advanced CMS capacity, extra collaborators, or higher usage limits require a different plan.
Some projects also depend on external services for forms, email, automation, analytics, or specialized interactions. A code-generated site may require separate hosting and maintenance even if the code itself was produced quickly.
Rather than assuming one platform is cheaper, identify the capabilities the finished site actually needs and check the current total cost of those requirements.
Leave room for growth, but avoid paying for complexity you have no clear plan to use.
Select the website platform for the content, editing, business operations, and maintenance it must support. AI generation is a starting benefit; the long-term decision is where the website can operate reliably and how easily you can change it.
Review the website before publishing
By the time an AI-generated site looks complete, it may already contain many small decisions that have never been checked.
A link can look correct without opening the intended page. A contact form can show a success message without delivering anything. A service description can contain a plausible but inaccurate promise.
These problems are not exclusive to AI-generated websites, but AI can produce enough convincing interface and copy that they are easier to overlook.
A pre-publish review should therefore begin with the visitor's actual task rather than visual polish.
Test the complete journey, not the first click
Imagine visiting a business website because you want to request an estimate.
You read the offer, open the relevant service page, press the contact button, fill out the form, and submit it.
The journey is only successful if the form behaves as intended and the request reaches its actual destination.
The same principle applies to other website goals. A booking route should produce the expected booking state. A newsletter signup should reach the intended subscription system. A useful resource should be readable and accessible from its links.
Where a transaction is involved, use a supported test environment and safe test data rather than creating unwanted real charges or exposing sensitive information.
Check content, accessibility, and technical settings separately
A website can pass one type of review and still fail another.
Content accuracy requires comparing important claims with approved information. Accessibility requires checking how visitors navigate and understand the interface, including people who rely on a keyboard or assistive technology.
Performance tools help investigate loading and responsiveness, but an excellent score does not prove that the site communicates well or that the contact form works.
Search-related settings also deserve attention. Confirm that important pages have descriptive titles, useful content, sensible internal links, and the intended indexing configuration.
Google's SEO guidance emphasizes making content understandable and helpful to users, not simply filling metadata fields. W3C's accessibility guidance likewise distinguishes preliminary automated or manual checks from a comprehensive accessibility evaluation.
Decide which issues should stop publication
Not every imperfection has the same consequence.
A decorative element that sits slightly off-center may be worth correcting later. A form that silently discards inquiries can defeat the website's purpose. A misleading claim or exposed private information can create a much more serious problem.
Classify findings according to their impact on visitors and the business. Fix problems that prevent essential tasks, misrepresent important facts, or introduce unacceptable risks before opening the site to its intended audience.
Record less urgent problems with enough information that they can be reproduced and corrected later.
Once the website is published, perform a short test on the actual public domain. Production links, permissions, and third-party services sometimes behave differently from the preview environment.
The most useful final review is organized around tests with observable outcomes, not a general request for AI to improve everything. A practical sequence for mobile checks, links, forms, content, accessibility, performance, and search settings is available in AI Website Review Checklist: Fix Issues Before You Publish.
Completing those checks gives you evidence for a publication decision instead of relying on how polished the generated preview appears.
Publish only after important visitor tasks have been tested, consequential information has been verified, and critical accessibility or functional problems have been addressed. Automated checks help identify issues, but real outcomes still need to be confirmed.
Build a workflow that survives future changes
A website launch is a milestone, not the end of the work.
Once visitors begin using the site, information changes, new questions appear, and some design choices become less useful than they seemed during planning.
The strongest AI website workflow therefore produces more than a published address. It leaves behind a website that someone can understand, edit, review, and improve without repeatedly reconstructing the project from memory.
Treat the website as a set of decisions and deliverables
One practical approach is to separate the project into five deliverables that remain useful after the initial creation process.
The first is a short purpose statement explaining the audience and desired outcome. The second is an approved page map and content brief. The third is the working website itself. The fourth is a record of the hosting, editor, integrations, and access requirements. The fifth is a review record showing what has been tested and what remains open.
These deliverables do not need elaborate project management software. A small team may keep them in a shared document and repository. A solo creator may use a simple project folder and checklist.
What matters is that important knowledge is not stored only in a long AI conversation.
If you return to the site months later, you should still be able to answer why a page exists, where a form sends information, which copy is approved, and how changes are published.
Document the main audience, purpose, navigation decisions, primary CTA, content responsibilities, and major constraints that shaped the project.
Know where the site is hosted, how versions are preserved, who can change it, and what is needed to return to a previously working state.
Track critical visitor journeys, unresolved issues, accessibility findings, and changes that require another check before they go live.
Choose one place for each kind of work
AI makes it tempting to move the same project between different tools whenever a new feature appears.
That can be useful when the current tool has reached a real limitation. It can also create conflicting versions, missing context, and uncertainty about which output is authoritative.
Keep one approved source for site copy, one working implementation, and one clear publication process.
You can still use different AI tools for different tasks. One may help refine content while another supports code changes or design exploration. The important point is to move approved results back into the actual website rather than allowing every conversation to become a separate version of the project.
When you change tools, record what was transferred and what still depends on the previous environment. Source code, design assets, content records, integrations, and hosting configuration may each have different migration requirements.
Use a practical definition of done for each change
A generated edit is not finished simply because the AI says it made the change.
Suppose you ask for a new service card on the homepage. The work is complete when the card contains the correct information, matches the design, behaves properly on mobile, and leads to the intended page or action.
If you update the contact form, the work is complete when valid submissions reach the destination and error states behave correctly. If you publish a new article, the work is complete when the page is readable, linked appropriately, and accessible at the intended public URL.
This makes AI-assisted maintenance more dependable because every request includes a result you can verify.
Avoid turning every improvement into a rebuild
A website can always be redesigned, expanded, or made more visually elaborate.
That does not mean each possibility deserves immediate attention.
After launch, improvement priorities should come from real needs. Visitors may repeatedly struggle to find a service. A form may create too much friction. A popular content page may need clearer navigation. A business may introduce a new offering that deserves a separate page.
Those are meaningful reasons to change the website.
By contrast, regenerating the entire site because a different AI model produces a prettier demo can erase decisions that were already working well.
Keep the useful parts, identify the specific limitation, and improve the smallest area that solves the problem.
The long-term value of AI website creation is not endless generation. It is the ability to make targeted improvements quickly while preserving the content, interactions, and visitor paths that have already proven useful.
Keep the site's purpose, content decisions, working implementation, publishing configuration, and review findings accessible. When the website changes, define success in terms of the visitor's experience and preserve everything that does not need to change.
Frequently Asked Questions
Yes, many informational sites, portfolios, landing pages, and simple interactive projects can be generated and refined through natural-language instructions without manually writing code. The degree of automation depends on the builder and the features required.
A website with complex authentication, custom data processing, specialized integrations, or other advanced requirements may still need technical implementation and review. Not typing the code yourself does not remove the need to understand how important functions are operated and maintained.
The right choice depends on the desired result. ChatGPT Sites and Grok Build provide direct website creation and publishing workflows for supported projects. Claude Design and Claude Code are relevant when visual prototyping and code-based implementation need to work together.
Gemini Canvas is useful for creating, previewing, and refining web experiences, while Copilot Pages is oriented toward runnable prototypes and lightweight applications. Compare actual features, access requirements, publishing options, and maintainability rather than assuming the tools are interchangeable.
An AI website generator can create a strong starting point, but the generated result still needs accurate business information, appropriate content, functioning visitor journeys, accessible interactions, suitable hosting, and any required policies or integrations.
A visually complete homepage does not prove that inquiries arrive, that service details are correct, or that the website works on representative devices. The readiness of the final site depends on those verified outcomes.
A dedicated builder can be convenient when you want creation, visual editing, hosting, content management, and publishing within one platform. A general AI or coding workflow may offer more flexibility for custom interfaces, unusual interactions, or projects that need a particular codebase.
Neither approach is always better. Consider who will update the website, how content will grow, which business systems are required, and what can be exported or transferred if your needs change.
The total depends on the AI service, website builder, hosting plan, custom domain, CMS requirements, integrations, storage, usage limits, and optional development or professional review.
Some services provide free creation or preview options, while public publishing or advanced features may require paid plans. Compare current official pricing for the capabilities your project actually needs rather than estimating cost from the first generated page alone.
Sometimes, but the answer depends on where the website was created and which features it uses. A code-based project may be easier to transfer when its source files and dependencies are available. A hosted visual builder may allow certain content exports without providing a fully independent copy of its entire website system.
Check the current export rules, CMS dependencies, custom-domain controls, third-party services, and any features that would need rebuilding. A domain transfer is not the same as a complete website migration.
Check the site against its original purpose. Confirm that important pages have distinct jobs and the main visitor journey works. Replace unverified content, test links and forms, inspect the mobile layout, and review accessibility, performance, and public search settings.
After publication, repeat essential checks on the live domain and establish a simple process for maintaining the content and making future changes. The goal is a dependable website, not merely a finished-looking preview.
From the first prompt to a website people can rely on
AI has made website creation more accessible, but the most valuable decisions still happen around the generated output.
Before choosing a tool, decide who the website serves and what visitors need to accomplish. That gives the pages and navigation a clear purpose.
When the plan is ready, choose an AI creation environment based on the kind of result you need. A simple published website, a visual prototype, a custom code project, and an internal interactive tool do not all require the same workflow.
Then consider how the website will be maintained. Hosting, CMS features, visual editing, integrations, and portability can matter more over time than how quickly a builder produces its first attractive page.
Before launch, verify the details that affect real visitors. Test the main CTA, confirm form delivery, review business claims, inspect mobile usability, and investigate meaningful accessibility, performance, and technical problems.
After launch, preserve the decisions that made the website useful. Keep an approved source for content, a clear publishing process, and a way to test changes without risking unrelated parts of the site.
Where should you begin?
If the site exists only as an idea, start with the visitor and page plan. If the structure is ready, create one useful working page. If a prototype already exists, choose the platform that can support its real operation. If the website looks finished, test the complete visitor journey before making it public.
There is no need to master every AI model before starting. A clear purpose, an appropriate tool, and a repeatable way to check the result will take the project further than an oversized first prompt.
Write a single sentence describing what your website should help a visitor accomplish. If that sentence is unclear, work on the purpose and page plan first. If it is clear, use it to define a small first build or test the site you already have.
Share this resource with someone choosing an AI website tool or preparing to publish a new site. For more practical AI workflows, digital systems, and productivity ideas, follow RoutineOS and subscribe through the available blog updates.
Sam Na writes about practical uses of AI, digital productivity, and structured approaches to everyday technology. His work on RoutineOS focuses on helping readers turn new tools into clear, maintainable processes rather than relying on impressive outputs that are difficult to understand or verify.
His articles explore how people can use AI to plan digital projects, organize information, develop useful content, build simple systems, and evaluate the quality of generated work. The emphasis is on decisions readers can apply to their own projects, with important factual and technical details checked against appropriate sources.
This material is intended to help readers understand the general process of planning, creating, and improving websites with AI. The right approach can vary with the website's purpose, platform, audience, technical requirements, and applicable rules. The more focused resources linked throughout the discussion may also need to be adapted to different individual or business circumstances.
AI product features and availability can change, and generated output may contain mistakes or assumptions that need correction. Before making important technical, legal, accessibility, privacy, security, or business decisions, check current official documentation and consider guidance from a qualified professional or relevant organization when the situation calls for it.
Official information about generating websites and lightweight apps, reviewing previews, refining projects, publishing, and the availability of supported site features.
Official guidance on discoverable website content, descriptive pages, useful links, search appearance, and how site owners can help search engines understand their content.
Official introductory accessibility evaluation guidance covering titles, headings, text alternatives, contrast, keyboard access, forms, and the limits of preliminary checks.
