Using AI to Write Website Content: What Works, What Hurts and Where to Draw the Line

AI writing tools can produce a 1,500-word article in under a minute. For a business that has struggled to keep a blog going, that sounds like the answer to everything: fill the website with content, rank for hundreds of searches and watch enquiries roll in.

It rarely works out that way. Some sites that published large volumes of AI content saw traffic rise briefly and then collapse. Others saw no effect at all, because their content was indistinguishable from thousands of similar pages.

That doesn’t mean AI tools are useless. Used carefully, they save real time. This article explains what Google has actually said, where AI genuinely helps, where it causes damage, and the workflow we recommend.

What Google actually says about AI content

Google’s position, stated in its Search guidance, is that it rewards helpful, reliable content made for people, however it was produced. Using AI is not, by itself, against its rules.

What is against its rules is using automation — AI or otherwise — to generate large amounts of content mainly to manipulate search rankings. Google’s spam policies call this scaled content abuse: producing many pages that add little value, whether written by machines, people or a combination.

So the real question isn’t “Did AI write this?” It’s “Is this page genuinely useful, accurate and worth reading — more so than the other pages competing for the same search?”

Google also emphasises experience, expertise, authoritativeness and trustworthiness (often shortened to E-E-A-T). Content that shows first-hand experience, real examples and accurate information tends to do better over time. That’s exactly what AI tools can’t provide on their own.

Where AI-generated content falls short

It says what everyone else says

AI models generate text by predicting likely words based on content they were trained on. The result tends to be an average of what already exists. For a business trying to stand out, average is the problem.

It can be confidently wrong

AI tools sometimes invent facts, statistics, legal requirements or prices that sound plausible but aren’t true. On topics like health, finance, tax or law, a single wrong statement can mislead customers and damage your credibility.

It has no experience

An AI tool has never fitted a modular kitchen, treated a patient or run a Google Ads campaign. It can’t tell readers what usually goes wrong, what customers in your town ask, or what you’d honestly recommend. Those details are what make content trustworthy.

It often sounds generic

Readers increasingly recognise the patterns: overused phrases, lists of “key benefits”, conclusions that restate the introduction. Once a reader notices, trust drops.

It can repeat itself across pages

When the same tool writes twenty location or service pages, they often end up structurally identical with slightly different wording. Search engines see this as thin, duplicate content.

Where AI tools genuinely help

Used as an assistant rather than an author, AI tools can save a lot of time:

• Brainstorming: generating lists of questions customers might ask about a topic, which you then check against real search data and real conversations.
• Outlining: suggesting a structure for a post that you then rearrange and fill with your own knowledge.
• Turning notes into drafts: converting a transcript of an expert explaining something into a readable first draft — which you then edit carefully.
• Editing: tightening sentences, simplifying jargon, checking grammar and suggesting clearer headings.
• Repurposing: turning a finished article into social posts, an email summary or FAQ answers.
• Meta descriptions and title options: drafting several versions to choose from.

In each case, the substance — the knowledge, opinions, examples and checks — comes from a person who knows the subject.

A workflow that keeps quality high

1. Start with real input. Collect the customer questions, a short interview with your expert, examples from your work and any facts or prices that need to be included.
2. Plan the piece yourself. Decide the main question, who it’s for and the key points it must make. Use AI to suggest additional angles if helpful.
3. Draft with your material. If you use AI for a first draft, give it your notes and interview, not just a keyword. The output will be far more specific.
4. Edit heavily. Cut generic sentences. Add your own examples, opinions and local details. Make it sound like your business.
5. Fact-check everything. Every number, law, price, date and technical claim. If you can’t verify it, remove it.
6. Expert review. The person whose knowledge the article is based on reads it before it’s published.
7. Publish less, but better. One genuinely useful article beats ten average ones.

Uses we’d avoid altogether

• Mass-producing location pages — “Best plumber in [city]” generated for hundreds of towns you don’t serve.
• Publishing unreviewed articles on health, legal or financial topics. The risk of misleading readers is too high.
• Fake reviews, testimonials or case studies. These are dishonest, and they can break consumer protection rules as well as platform policies.
• Rewriting competitors’ articles. Spinning someone else’s content adds nothing and risks copyright problems.
• Automatic publishing without a human reading the output.

Getting better output from AI tools

If you do use AI for drafting, the quality of the result depends heavily on what you give it. A one-line prompt such as “write a blog about website costs” produces generic text. Better input produces better drafts:

• Give it your interview notes, real price ranges and examples, and ask it to organise them rather than invent content.
• Describe the reader precisely: “owner of a small manufacturing unit in Madhya Pradesh who has never commissioned software”.
• Specify the tone and words to avoid, based on how your business actually speaks.
• Ask it to flag any statement it isn’t certain about, then check those first.

Even then, treat the output as raw material. The editing step is where most of the value is added.

Should you disclose AI use?

There’s no universal rule for business blogs, but transparency builds trust. What matters most to readers is knowing who stands behind the information. Show a real author or team, explain their experience, and make clear that content is reviewed for accuracy. If AI played a large part in producing a page — for example, an automatically generated summary — saying so is a sensible courtesy.

Already published a lot of AI content?

If your site already has many AI-generated pages, don’t panic and don’t delete everything overnight. Review them in order of importance:

• Pages that bring traffic or enquiries: keep them, but fact-check and improve them with real examples and expertise.
• Pages that overlap heavily: merge them into one stronger page and redirect the others.
• Pages with no traffic, no links and no real value: consider removing them or setting them to noindex.

Use Search Console to see which pages actually receive impressions and clicks. Our Search Console guide explains how.

What still wins

As AI makes average content cheap and plentiful, content that shows genuine experience becomes more valuable, not less. The businesses that do well will be the ones that publish what only they can: real prices and timelines, honest comparisons, mistakes they’ve seen, and answers grounded in years of doing the work.

That’s how we approach content for our clients. We use tools where they save time, but every piece is built on interviews with the client’s experts, written and edited by a person, and checked before it goes live. If you’d like content that sounds like you and earns trust, talk to our content team. For more on planning posts that bring enquiries, see how to write blog posts that bring customers.