Should we use AI to write product pages?

AI product page writing works best as assisted drafting, not autonomous publishing. Generative AI can speed research, produce initial wording and suggest directions that a writer might develop. In practice, its first output may be average or clichéd, while a useful word or angle can still become a creative springboard. Product pages for complex offers need more than fluent prose: they need a clear argument, relevant expertise and a voice that readers recognise. Give a human writer responsibility for deciding what matters, shaping the message and approving the finished page. That division uses AI for pace while retaining the judgement that makes product communication distinctive.

AI search, answer engine optimisation and structured formats do not justify turning every product page into a keyword container. Answer-first copy, FAQs and restructuring can be useful when they help a reader and a machine understand genuine knowledge. They become harmful when they add information the page cannot support, cram in every possible phrase or force a rigid format onto a well-explained complex subject. The result can be poorer search clarity and a weaker human experience, without making the page more useful to an AI. Maintain the same underlying knowledge, but adapt its presentation carefully for the audience and channel. Human editing should protect clarity, evidence and the intended voice.

We believe AI-ready product pages should make real expertise easier to retrieve without flattening a brand into generic copy. A product page has to help a person understand a complex offer as well as help an AI system locate useful knowledge, so automated drafts need human editorial judgement. We have put that belief into practice by generating 92 AEO pages built in an organisation's style from its evidence, case studies and statistics. Through Brand Proximity, we use AI to surface existing knowledge while keeping the human touch in the content.