THE SHORT ANSWER

AI can assist with organising research, exploring ideas, drafting and adapting approved material. Content strategy still requires choosing an audience, a useful job for the content and a credible point of view. Editorial judgment determines whether a piece deserves publication at all.

The brief is where strategy becomes editorial work

Before requesting a draft, write the reader's decision and the evidence needed to make it. ‘Produce an article about our service’ is a production request. ‘Help a buyer decide whether this service fits their operating constraints’ gives the piece a useful job.

For a hypothetical logistics provider, original material might include an approved explanation from operations about which deliveries it cannot fulfil. AI can help organise that explanation, but it cannot supply the missing operational expertise. A polished claim about universal coverage would make the content worse.

A brief should identify the audience, the question, the source of expertise, the promised outcome and the claims the team cannot make. Those constraints also make AI-assisted drafting easier to review.

Assign AI a role at each stage

Assistance without surrendering editorial responsibility
StageUseful assistanceEditorial responsibility
ResearchOrganise supplied evidence and open questionsCheck provenance, relevance and missing perspectives
IdeationExplore different explanations or objectionsChoose an angle worth the reader's time
Briefing and draftingTurn approved points into a structure and draftPreserve meaning, boundaries and factual support
RepurposingAdapt an approved piece to another formatKeep qualifications intact when shortening
Quality controlFlag inconsistent terminology or unsupported assertionsDecide what to fix, remove or decline to publish

A model's self-check is a useful prompt for an editor, not independent verification. Maintain a claim-to-source trail for consequential statements, especially when repurposing removes context.

Evidence & context: NIST

Brand voice is also what you refuse to say

Voice instructions such as ‘confident, warm and expert’ do little to distinguish one business from another. Give the workflow concrete editorial decisions: how the brand explains uncertainty, which promises require evidence, which customer concerns deserve a direct answer and which phrases it avoids.

A useful revision can make a sentence less impressive and more accurate. Replace ‘effortless implementation’ with a clear account of what the customer must prepare. The resulting content may generate fewer unsuitable enquiries and more informed conversations.

For copyright, distinguish ownership of an output from permission to use source material. The U.S. Copyright Office's 2025 report addresses human authorship in AI-assisted work; it does not resolve every rights question in every jurisdiction. Have qualified specialists review consequential rights and licensing decisions.

Evidence & context: U.S. Copyright Office

Measure whether the content did its job

Choose evidence suited to the purpose: fewer repeated questions, better informed enquiries, successful task completion or a useful contribution to a commercial outcome. Publishing volume and time saved describe production. They do not establish audience value.

Google's current AI-search guidance emphasises useful, distinctive material rather than proliferating near-identical pages. That is a discovery consideration, not the only reason to make good content.

Use the search overview for the wider discovery shift and social media guide for adapting material into a conversation rather than another broadcast.

Evidence & context: Google Search Central

Sources & further reading

  1. Optimizing your website for generative AI features on Google Search

    Google Search Central. Google-specific guidance on AI search and SEO, checked 11 September 2026. It does not establish how all assistants retrieve information.

  2. Copyright Office releases Part 2 of its Artificial Intelligence Report

    U.S. Copyright Office. January 2025 report announcement on copyrightability and human authorship. U.S.-specific; not a resolution of all training, licensing or infringement questions.

  3. Generative Artificial Intelligence Profile (NIST AI 600-1)

    NIST. Risk-management guidance, including confabulation. It does not establish a universal error rate.

Examples and exercises are illustrative unless attributed to a source. No independent expert review is claimed.

A correction, a counterexample or an experience worth sharing?

Join the conversation ↗