Writing copy with AI: a real brand voice

Anyone writing website copy with AI will recognize the problem: the output is fluent but sounds like everyone else. The model is not necessarily at fault. Most prompts provide no clear brief, brand voice, or review step. In 2026, useful AI copy comes from a repeatable process in which you remain the final editor, not from one magic prompt.

This article explains how to set up that process, where AI helps, and where human judgment is still needed. It covers familiar chat tools such as ChatGPT and Claude, then looks at an AI agent such as Hermes, which can remember context, reuse established procedures, and schedule recurring jobs.

Why AI copy often sounds generic

A language model does not know your business. Without context, it fills the gaps with common patterns: corporate filler, superlatives, and a neutral tone that belongs to no one. The grammar may be fine, but the copy still feels artificial because it makes no distinctive choices.

The answer is not a cleverer prompt that asks the model to sound “more human.” Give the model the information it naturally lacks:

• Who you are: your business, your offer and what customers come to you for.
• How you sound: two or three of your own example sentences from texts you like.
• What the goal is: the page, its intended reader and the action you want them to take.
• What is not allowed: claims you can’t prove and words that don’t fit your brand.

That brief gives the model something specific to work with. It turns a loose prompt into a repeatable process.

What AI does well now (and where it falls short)

AI is strongest between the rough idea and the first draft. It can structure, rewrite, and shorten copy, produce alternatives, adapt a draft for a particular audience, and keep repetitive product descriptions consistent. It can also draft metadata and product description variations, provided you supply the facts.

How editing changes the copy: an example

Suppose a landscaping company asks AI to draft a services page. The first version says: “We deliver top quality and work closely with every customer to make their dream garden a reality.” It is grammatically correct but empty. Any competitor could publish it unchanged.

For illustration, using fictional business details that must be replaced with verified facts before publication: “Our four-person team builds your garden in two to three weeks, using our own machinery and plants from nurseries around Aalst. You also receive a maintenance plan for the first year, because the work does not stop when the planting is done.” It fills the same space but now gives readers concrete reasons to choose this company.

AI cannot decide which details matter most to your customers. That is why source material makes such a difference. Ask it to “write something about garden landscaping” and you get the first version. Provide the company’s process, region, and real promises, and the draft has a chance of becoming the second.

AI remains weak wherever real knowledge of the business matters: how you work, the results you have achieved, claims you can prove, humor that suits the audience, and the decision about which message belongs on which page. You supply those judgments. The tool can only speed up the drafting.

Writing website copy with AI in five steps

This workflow suits homepages, service pages, product pages, and landing pages. Blog articles need extra work around search intent and measurement.

The fifth step is easy to forget, but it separates using AI from finding out whether the copy works. A page nobody finds was an expensive prompt. The guide to keyword research explains how to set up that measurement.

Writing in a chat versus working with an AI agent

ChatGPT and Claude in the browser are good starting points. They are accessible, capable writers and useful for experiments. Their limitation is the chat format: each new session can mean starting from scratch. You may need to paste the brief, examples and brand rules again, and refinements from earlier chats are easy to lose.

An AI agent can retain more of that process. I work with Hermes Agent, and three features make it different from an isolated chat:

• Memory: the agent can retain your brand voice, approved brief, and earlier copy. Later iterations build on what you have already recorded.
• Skills: a proven approach can become a reusable procedure. The editing process lives in the tooling rather than in a list you paste into every chat.
• Scheduled jobs: recurring work such as reviewing copy, refreshing seasonal pages and fetching measurements can run on a schedule.

For a one-off page, a chat tool is often enough. If you write or update pages every month, an agent that retains the process can save more time and keep the work consistent.

How Straffe Sites uses AI for website copy

At Straffe Sites, copy does not run from prompt to publication automatically. Hermes agents prepare the work; people make the decisions. Here is a practical example:

The agent works from the brief, proposes a page structure, and marks points that need human review. A person still decides which claims are valid, whether the tone is right, and what gets published. That is how I use AI for copy: it speeds up preparation and rewriting, while the final edit remains human. Prefer to start from a generated design rather than written text? That route follows the same split between agent preparation and human decisions: from AI design to a working website.

Common mistakes with AI copy

• Publishing without editing: the first version is a draft. Without your own facts, it may sound polished but say very little.
• One prompt for the whole website: every page has its own goal and reader. A generic briefing makes all pages the same.
• Leaning on superlatives: “top quality” and “personal approach” appear on millions of sites. Replace them with concrete details about how you work.
• Ignoring search intent: even elegant copy will struggle if it does not match the query. Add accurate metadata and measure the result.
• Failing to record the brand voice: without examples and agreed rules, every session becomes another guess. Document the tone once and reuse it.

Conclusion

Writing copy with AI is an editing process, not a prompt trick. It needs a brief based on your own material, a structure you choose, a faster first draft, and a human final edit. ChatGPT and Claude work well for occasional drafts. For recurring work, an agent with memory, reusable skills, and scheduled jobs can retain more of the process. Work beyond the copy itself, such as measuring and preparation, can run on that same schedule; see how AI automation for small businesses handles it with clear rules. If you would rather not manage the briefing and editing yourself, Straffe Sites builds websites with a clear content structure and provides copywriting and SEO that reflect your business and how customers search.