Overview
Running a website is not one job. It is content and design and code and SEO and reporting, each needing a different skill, and in most organisations each sitting with a different person or agency. The result is familiar: a ten-minute change takes a fortnight, because it has to find its way through a queue that was built for projects rather than for small, constant work.
AI website management collapses that queue into a conversation. You describe what you want — a new landing page, a restyled template, a price change across forty pages, a report on which articles are quietly rotting — and an AI team that knows your site carries it out against your real CMS and your real codebase. Nothing is rebuilt and nothing is migrated: your existing stack stays the source of truth.
This page is the hub for how that works in practice — the disciplines covered, the guardrails that make delegation safe, and the platforms it runs on.
How it works
- Connect your CMS and, if you want code changes, your repository — both through official APIs.
- Invite your team and set roles, so each person can do exactly what they should and no more.
- Ask for changes in plain language; the agent reads your content model, components, design tokens and tone guide.
- Work lands on staging or as a draft, with a preview you can click through and share.
- You approve; it publishes, the build is verified, and the whole thing is recorded in the audit log.
What it covers
- Content — new pages and posts, bulk edits, rewrites, metadata and scheduling, all in your own CMS.
- Templates and code — new sections, restyles, schema fields and integrations written into your real repository.
- Design — Figma frames implemented from exact values, or imagery generated, edited and optimised on brand.
- SEO and AI visibility — keyword research, strategy, published pages, meta and schema, measured in Search Console and GA4.
- Reporting — plain-language questions answered against your real content graph and analytics, joined by URL.
- Housekeeping — accessibility fixes, image optimisation, redirects and broken-link clean-ups.
Why teams use it
- One team, every discipline — no hand-offs between a copywriter, a designer, a developer and an SEO agency.
- Your stack, unchanged — no migration, no parallel copy of your content, no new editor for your team to learn.
- Nothing goes live unseen — staging and preview-before-publish are the default, not an option to remember.
- Fully accountable — every action attributed, timestamped and reversible, which makes a risky change a cheap one.
Staying in control
The principle is deliberately simple: if a teammate could not make a change with their own login, the agent cannot make it for them either. Permissions are enforced on every write, before it executes, and they are a ceiling rather than a suggestion — there is no phrasing or insistence that lifts them, and the agent will not switch environment to dodge a denial.
Bulk operations get extra care: before a change touches many entries you are told how many and shown a sample, and the whole operation is recorded as one reversible action. After every write the agent re-reads what it changed and confirms the result before reporting success, because an API returning 200 is not the same as the change being right.
Availability
Content and code management are included on every plan. Separate staging environments, custom roles, SEO and design integrations are included on Growth, Scale and Enterprise.
Frequently asked questions
What is AI website management?
It is delegating the ongoing running of a website — content updates, design and template changes, code, SEO and reporting — to an AI team that works directly in your existing CMS and repository, rather than doing each of those jobs yourself or spreading them across separate freelancers and agencies. The work arrives staged and previewed for your approval.
Which platforms do you support?
WordPress, Sanity, Contentful, Webflow, Drupal, Shopify, WooCommerce, BigCommerce and Adobe Commerce for content. For code, any repository on GitHub, GitLab or Bitbucket, with any framework — Astro, Next.js, Nuxt, SvelteKit, Eleventy, Hugo, Laravel and plain HTML templates are all in regular use.
Is it safe to let an AI change our live website?
Safety comes from the architecture rather than from the model. Four layers do the work: staging environments, draft-and-preview before publishing, role-based permissions enforced on every write, and an append-only audit trail with one-click rollback. Model quality determines how good the work is; the architecture determines how bad a mistake can be.
How quickly do changes appear?
Typically under a minute once approved — code commits rebuild in roughly 30 to 60 seconds and content changes in one to two minutes. The agent confirms the build actually succeeded before telling you a change is live, because a commit that does not build never reaches the site.
Do we still need an agency or an in-house developer?
For the routine work, no — that is the point. For architecture, performance and genuinely complex problems, keep them: most teams find the backlog of small jobs disappears, which frees skilled people for work that actually needs them. They stay in the loop by reviewing readable diffs rather than writing every line.
Who owns the work that gets produced?
You do. Content lives in your CMS, code lives in your repository, and generated images and documents are imported into your own asset library. If you stop using us tomorrow, everything stays exactly where it is — there is no lock-in and nothing to migrate back.
