Every content team now has access to tools that can produce a page of fluent text in seconds. The temptation is obvious: if a service page, a blog post or a product description can be drafted that quickly, why pay for hours of writing?
The answer depends on what the content is for. AI is a useful writing tool and a poor replacement for knowing what you are talking about. Here is how we think about the difference.
What search engines say
Google's position has been consistent since early 2023: it rewards helpful, reliable content made for people, regardless of how it was produced. Using AI is not against its guidelines.
What is against its guidelines is producing large amounts of content mainly to rank in search, with little value for readers. Google's spam policies call this scaled content abuse, and the policy applies whether the pages were written by AI, by people or by a mix of both.
So the question is not "will Google penalize AI content?" It is "would this page still be worth publishing if search engines did not exist?" Pages that pass that test are fine. Pages that do not are a risk however they were made.
There is also a practical point. As AI search features answer more general questions directly, generic content that restates what is already widely known has less and less value. The pages that still earn visits and citations are the ones with something original in them.
Where AI helps
Structure and first drafts
Turning notes, a call transcript or a list of points into a first draft is where AI saves the most time. The thinking is yours. The tool helps you get it into a readable shape faster.
Editing
Tightening a long paragraph, simplifying jargon, checking for consistency with a style guide, or suggesting clearer headings. Writers have always benefited from an editor, and AI is a quick, always-available one.
Repetitive, structured content
Product descriptions built from specifications, event listings, short summaries of longer documents and metadata such as page descriptions. These follow a pattern, the facts come from your own data, and they are easy to check.
Variations and translations
Adapting a message for different channels, lengths or audiences, and producing translation drafts for a fluent reviewer to correct.
Where it hurts
Experience and expertise
The most valuable content on a business website shows that you know what you are doing: how you approached a real problem, what went wrong, what you would do differently, what your data shows. AI cannot supply experience it does not have, and it will happily invent details that sound plausible. Invented specifics on a company website are worse than none.
Facts that must be right
Prices, legal terms, medical or financial information, technical specifications and anything with consequences if it is wrong. Language models can state errors with complete confidence. Every factual claim needs to be checked against a source you trust.
Your voice
AI-generated text tends toward the same safe, polished style. Readers increasingly recognize it, and it makes different companies sound identical. If your brand depends on a distinctive voice, heavy AI drafting erodes it unless someone edits with that voice in mind.
Trust
When readers suspect a page was generated without care, they trust the whole site less. That cost is hard to measure and easy to underestimate.
A workflow that keeps quality up
- Start with knowledge, not a prompt. Collect the real material first: notes from the people who did the work, customer questions, data, examples.
- Use AI to organize and draft from that material, not to invent it.
- Have someone with expertise review every draft for accuracy and add what only they know.
- Edit for your voice. Cut generic phrases, filler and anything you would not say to a customer in person.
- Check every fact, number and claim before publishing.
- Name the people responsible for the content, and keep it up to date.
This workflow is faster than writing everything from scratch, and it produces content that stands up to scrutiny. It is slower than publishing whatever the tool produces, which is the point.
Should you disclose AI use?
There is no single rule for websites. For routine content such as product descriptions or summaries, disclosure is uncommon and rarely expected. For content where readers rely on expertise or personal experience, being open about how it was produced builds trust, and some industries and jurisdictions have their own requirements. Whatever you decide, the more important commitment is that a responsible person has reviewed what you publish.
Our view
Use AI as a tool for writing, not as a substitute for having something to say. The companies that will benefit most are the ones that already have real expertise and use AI to share it more often and more clearly. The ones that use it to fill pages with generic text are building a site that neither people nor search engines have a reason to visit.
Need help planning content that actually brings in customers? Get in touch and we will help you build a content process that fits your team.