Brand Voice Guidelines for AI Content

We start by collecting your best writing. We ask for website copy you like, emails that got replies, proposals, social posts, WhatsApp replies and the way founders explain the business out loud. We also gather examples you dislike. We read customer reviews and enquiries to learn the words your customers use, which often differ from the words in your brochures. We interview the owner and two or three team members about how the business wants to be seen: expert or friendly, formal or relaxed, traditional or modern, direct or reassuring. Next we distil what we find into a small set of voice principles. A good principle is specific and testable, for example “we explain in plain words and define any technical term the first time” or “we state the price range before we are asked”. For each principle we write a short description, an example of it done well and one of it done badly. We then define how the voice flexes. A proposal, a complaint reply, a festival greeting and a technical guide need different warmth and formality, so we describe tone for each situation and for each channel, including WhatsApp, email, website, social and ads; see newsletter design and management for newsletter style. We build word lists: phrases you like, words to avoid because they sound hollow or off-brand, industry terms to explain, spelling choices such as UK or US English, how to write numbers, currency, dates and names, and how to address customers. We set language rules for Hindi and mixed-language content. We write claim rules: what can be said about results, guarantees, comparisons, prices and certifications, based on what you can prove, and phrases that need approval. We also write safety rules for AI use, such as never inventing customer names, statistics or quotes. Then we convert the guide into two forms. One is a readable document for people. The other is a compact instruction block for AI tools, with the principles, word lists, rules and a few example passages that can be pasted into any tool or stored in a prompt library; see prompt and knowledge base development. We test the guide by generating drafts with and without it, comparing them with your real writing and asking your team which sounds more like you. We refine until drafts need fewer edits. We train writers and reviewers to use the guide, and add a checklist to the review step; see human-reviewed content workflows. We recommend reviewing the guide yearly or when the business changes direction. We cannot make a tool perfectly match a voice, and a guide must be used consistently to work, but clear rules reduce generic wording and edits.