Web Copywriting
Should You Use AI to Write Your Website Copy?
It will produce a page in seconds. Whether that page can do the job depends on what website copy is actually made of, which is mostly not writing.
The honest answer is that it depends entirely on what you think website copy is. If it is arranging sentences about a service, a language model does that competently and instantly. If it is working out what a specific buyer hesitates over and answering it in words that business can defend, the writing was never the hard part — and that is the part these tools do not have access to.
The Bottleneck Was Never Typing
Ask a business why its website copy is weak and the answer is almost never that nobody could write the sentences. It is that nobody decided what the page should argue, nobody collected the objections, and nobody would commit to a specific claim. A model given the same absence of decisions produces the same generic page, faster.
This is why AI output so often reads as fluent and empty. It is not a failure of the tool. It is an accurate reflection of a prompt that contained no proprietary information, and no human writer given that brief would do better.
Where It Genuinely Helps
- Getting past a blank page: a bad first draft you react against is more useful than an empty document.
- Variations to choose between: twenty headline options in a minute, of which one is worth developing.
- Compression: cutting a section to fit without losing the point is a task it does well and people find tedious.
- Structuring raw material: hand it a messy call transcript and ask what objections appear. That is genuine leverage.
- Consistency checks: finding where a site contradicts itself across forty pages is a job worth automating.
The pattern in that list: it is strongest where you supply the substance and weakest where you ask it to supply the substance. Used that way it is a real speed increase rather than a quality risk.
Where It Reliably Fails
It invents specifics. Asked for a page about your service, it will happily produce a turnaround time, a team size and a satisfaction figure — none of which came from you. On a website those are commitments, and publishing invented ones is a commercial problem before it is an SEO one.
It also regresses to the category average by construction. Ask for copy about content writing and you get the most typical version of that page, which is exactly the page every competitor already has. Differentiation is not something a model can infer from a prompt that does not contain it.
Every number, claim, guarantee and timeframe in generated copy needs checking against something real before it goes live. This is the step that gets skipped, and it is the one with actual consequences.
What Google Actually Says
Google's position is about quality rather than provenance: helpful, original content is rewarded however it was produced, and content mass-produced mainly to rank is not. That is a narrower statement than either of the two things people repeat — that AI content is banned, or that it carries no risk at all.
The practical risk is straightforward. Unedited output is generic, generic pages do not earn rankings on a site with no authority, and publishing forty of them quickly looks like exactly the pattern the guidance describes.
A Reasonable Working Position
Use it for the parts where you already know the answer and want it expressed faster. Do not use it for the parts where you do not know the answer, because it will supply a plausible one and you will not notice until a client quotes it back to you.
The prerequisite is the same either way: the specifics have to come from the business. If you are unsure what those are, start with what website copywriting is meant to do. Our website copywriting service is written by an in-house team and is never subcontracted.
Questions
Questions about this article
Still unsure about something? Talk to a specialist — no script, no sales pitch.
Not for being AI-generated. Google's stated position is that it rewards helpful, original content however it was produced, and acts against content mass-produced primarily to manipulate rankings. In practice the risk is not the tool — it is that unedited output tends to be generic, which is penalised on the merits.
It can produce something homepage-shaped immediately. What it cannot supply is the material that makes a homepage work — what your buyers actually object to, what you say on calls that competitors cannot, the numbers you are willing to publish. Give it those and it becomes genuinely useful.
They will not identify it as AI, but they notice the symptom: copy that could describe any company in your category. That reaction is the same one produced by a thin brief or a rushed human draft, which is the real point — the failure is upstream of the tool.