AI for Content Creation

1. 1

   Outlines and structure

   Getting from a topic to a sensible shape. Fast, low-risk, and removes the part of writing most people stall on.

2. 2

   First drafts

   Turning a brief and your source material into prose you can edit. The value is in having something to react to rather than something to publish.

3. 3

   Repurposing

   One article into a newsletter, several social posts and a summary. Genuinely mechanical, and the highest-return use on this list.

4. 4

   Research summaries

   Condensing sources, documents or transcripts into something usable, with the sources kept so claims can be checked.

5. 5

   Bulk descriptive copy

   Product descriptions and listing copy across a large catalogue, generated from structured attributes rather than free text.

6. 6

   Editing support

   Tightening, cutting length, adjusting reading level and catching the sentence that says nothing.

A draft is not a piece of content. It is raw material that is confidently written, plausibly structured, and frequently wrong in ways that are hard to spot precisely because it is confidently written and plausibly structured.

The pass that has to stay human is the one that checks facts, removes claims nothing supports, adds what only you know — your data, your customers, your experience — and makes it sound like a person with a point of view rather than a summary of the internet. That is also the pass that makes it worth reading.

Teams that skip it publish faster and get read less. The tell is content that is technically about the topic and contains nothing a reader could not have guessed.

• Give it your material to work from — notes, transcripts, data, customer conversations — rather than asking it to write about a topic in general.
• Check every factual claim, statistic and product detail. Assume nothing is sourced unless you sourced it.
• Never publish claims about your own pricing, capabilities or results without verifying them.
• Decide who owns the output and whether your inputs train the provider's models.
• Judge output on whether a reader would find it useful, not on how much of it there is.

Does Google penalise AI-generated content?

Search guidance focuses on whether content is helpful and original rather than on how it was produced. In practice, thin output that restates what already ranks performs badly whoever wrote it, while material built on genuine expertise and original information performs well. The production method is less predictive than the substance.

Who owns content that AI helped write?

That is set by the provider's terms, and they vary — including on whether your inputs are used for training. Copyright treatment of AI-assisted work also differs by jurisdiction and is still developing. Read the terms of any tool you rely on commercially, and take your own legal advice where it matters.