AI can produce a lot of text quickly. What matters to a business is whether it helps the right person understand something or make a decision. If an article could fit hundreds of companies unchanged, it probably needs more of your own knowledge.
Google's guidance says generative AI can help with research and structuring original content. Generating many pages without adding value for readers may violate spam policies. Accuracy, quality and relevance also apply to titles, meta descriptions and image descriptions. Source: Google Search Central.
Start with a question your customers ask
“What is AI?” may be too broad. “How do I draft a customer reply without AI inventing a price?” is a specific problem you can answer in a checkable way.
Before writing, record who the article is for, the question it resolves and what the reader should be able to do afterwards. Add your own method or a clearly labelled example. Don't invent a customer story to make the text seem trustworthy.
Check the content before optimising it
Review names, prices, dates and links. For news, distinguish the publication date from the event date. An old guide can still be useful, but isn't a new product update.
Then organise the title, headings and internal links. The meta description should explain what readers will find. Repeating keywords cannot repair an inadequate answer.
After publishing, see whether the article attracts relevant visitors and whether they continue to a suitable service. Traffic alone doesn't show customer value.
AILithe helps build a content process that combines AI research and writing with the company's knowledge. The result is a publication you can maintain, with clear responsibility for what it says.