Start with a real question and a point of view
A strong content brief identifies the reader, the question and the decision the article should support. “Write about AI” is too open. “Help a service business decide whether enquiry routing needs AI” creates a useful boundary.
Add the business’s position. Perhaps the recommendation is to fix ownership and data quality before introducing a model. Explain the reasoning and the circumstances that would change that view. A reader should come away understanding how the business thinks.
Google’s people-first content guidance encourages useful, reliable material and clear information about authorship. Read Google’s content guidance. My editorial takeaway is to make the reader’s decision the organising principle of the page.
Create a small voice guide with real examples
A voice guide should be practical enough to use during editing. Specify the intended level of knowledge, preferred sentence style, treatment of technical terms and examples of language that does not suit the brand.
For a premium consultancy, that might mean direct explanations, concrete examples and measured claims. Confidence can come from specificity: identifying the problem, describing an approach and acknowledging the relevant trade-off. It does not require grand promises.
Include examples of approved writing and explain why they work. Ask AI to use them as stylistic guidance rather than copy them. After drafting, read the article aloud. Repetition, artificial transitions and vague statements become easier to notice.
Use search terms to clarify the subject
Choose one primary topic and a small set of related questions. An article about ecommerce automation might naturally discuss Shopify workflows, customer retention and post-purchase support. Each term belongs where it helps explain the subject.
Write a title that accurately describes the answer. Use the introduction to establish the problem, then structure headings around its major decisions. A concise description should tell a potential visitor what the page offers.
Avoid adding a paragraph simply to repeat a keyword. If a sentence contributes no information, remove it. Search-aware writing works best when the same language that identifies the topic also helps the reader understand it.
Build a source and review workflow
Separate research, drafting and approval. Keep a record of where factual claims came from, including product documentation and the date checked. Link to sources where they support specific statements rather than placing unrelated references at the bottom.
Mark examples as hypothetical when they are hypothetical. A plausible calculation can teach a useful lesson without pretending to be a case study. Never ask AI to fill a missing client result, customer quote or personal experience.
Review every draft for accuracy, usefulness and voice. Check whether the advice still applies to the intended audience and whether any product capability needs qualification. Give a named person responsibility for approving publication and revisiting content that becomes outdated.
Repurpose the argument, then measure its usefulness
A detailed article can support several shorter pieces: a question-led social post, an email explaining one trade-off or a brief checklist for a sales conversation. Adapt the idea to each format instead of copying the same opening everywhere.
Review whether readers reach the parts that help them act, visit related service pages or refer to the article in an enquiry. Customer questions are especially useful feedback. If readers consistently misunderstand a point, improve the explanation before producing another version.
I would rather build a small collection of articles with a clear purpose than an archive of interchangeable drafts. AI can accelerate preparation and adaptation. The lasting value comes from original judgement, verified detail and a voice readers can recognise.
What would this look like in your business?
Explore Grow or tell me what you would like to improve.