The Best AI Prompts for Content Marketing

The hunt for the perfect prompt is the wrong question. Providers like HubSpot, neuroflash, or GetResponse list dozens to hundreds of marketing prompts. They all promise usable output — and when you use them, they deliver interchangeable text that sounds like ChatGPT rather than your company.

The reason lies not in the prompt, but in the missing context. A language model without context falls back on the statistical average of all training data. The result: smooth, generic sentences with no character. Exactly the tone you actually want to avoid in marketing.

So anyone who wants better marketing copy out of AI does not optimise the prompt — they optimise the input. Brand voice, audience, positioning, and sample texts are the levers every prompt list lacks.

Four documents stand before every usable AI text. They make the difference between output that sounds average and output that sounds like your brand. The order matters here — the first two carry most of the weight.

If you do not yet have building blocks one and two: sharpening your positioning and creating a buyer persona are the two pieces of groundwork. Without them, every AI setup stays built on sand.

The brand voice profile is the most important of the four documents. It defines not how your brand looks, but how it sounds. A language model has no access to your tone until you describe it.

An effective brand voice profile sticks to three properties: it is short (one page, not ten), it is concrete (examples instead of adjectives), and it contains negative instructions (what the brand does not do). The last point is the underrated part — forbidden words, avoided constructions, and anti-examples steer AI output more precisely than positive style instructions.

Typical building blocks: tone in three adjectives with a short explanation, five signature phrases, a list of forbidden words with reasons, three do/don't pairs, and three complete sample sentences. You need no more. Less is often enough too.

A brand voice profile takes half a day, not a workshop marathon. Four steps lead from a blank page to a profile you can use:

The real lever is step 2: instead of describing the brand voice by hand, you let the AI derive it from your own texts — and only correct from there. This prompt gets you started:

A filled-in brand voice briefing is your brand voice profile — the same thing, once as a blank template, once filled in. The following template fits most Swiss SMEs: one page, five blocks, fillable in 45 to 60 minutes. In the room you need the right people — a marketing lead and someone from the operational side who has known the brand for years.

The blank template to copy and fill in yourself:

The template is deliberately short. A brand voice briefing longer than one page does not get used in practice — neither by the team nor by the AI. If you need more substance, build it as a linked appendix document, not into the briefing page itself.

Three prompts that, with your brand voice profile loaded, produce usable content right away. The orange fields are examples — adjust them, then copy.

Theory rarely convinces. The lever becomes concrete in an example: the AI should write a blog intro on the topic «Squarespace for restaurants in Switzerland». Four rounds, from the raw prompt to a publishable draft.

Round 1: Raw prompt, no context

Prompt: «Write me a blog intro about Squarespace for restaurants.»

Output: «In today's digital age, a professional online presence is indispensable for restaurants. Squarespace offers the perfect solution to delight your guests with modern design and seamless functionality. Discover why more and more restaurateurs are turning to Squarespace.»

Diagnosis: three phrases, one cliché, one forbidden word («seamless»), no position. Interchangeable with any other restaurant post on the web.

Round 2: Plus brand voice profile

Same prompt, with a brand voice briefing loaded beforehand — tone («calm, clear, considered»), forbidden words, and three sample sentences.

Output: «Restaurants in Switzerland rarely need a large website — they need one that reliably handles reservations, the menu, and directions. Squarespace covers these three points without a restaurateur having to touch any code. When that fits and when it doesn't is what this article clarifies.»

Diagnosis: tonally close, position recognisable. But the argument is still too generic — no concrete reference point for the reader.

Round 3: Plus audience profile

Audience added: «Owner of a 30-seat family restaurant, no marketing team, wants to be able to publish a new menu on a Sunday evening.»

Output: «Anyone who wants to publish the new menu themselves on a Sunday evening needs no agency solution and no page builder with 40 plugins. A small, robust platform is enough — and for many family restaurants in Switzerland, Squarespace is exactly that. What to watch out for is what this article sums up.»

Diagnosis: concrete, target person recognisable, position clear. Nearly there.

Round 4: Plus sample paragraph

A real paragraph from an existing blog article appended with the note: «Sounds like this. Keep the same tone and sentence length.»

Output: «Restaurants in Switzerland that want to maintain their own website rarely need an agency — they need a platform that handles reservations, the menu, and directions without code. For a 30-seat family restaurant without a marketing team, Squarespace is exactly that fit. This article shows what the platform delivers in this setup — and where its limits become visible.»

Diagnosis: publishable, sounds like the brand, has a position and a target person — and stays with the argument the persona and positioning set out. The distance between round one and round four is not the prompt, but the inputs added step by step.

Negative constraints are one of the underrated dials in an AI setup. A list of forbidden words in the system prompt or in the custom instructions often works better than a positive style instruction. The reason is concreteness: a clearly named forbidden word gives the AI a firm anchor, while an abstract tone guideline gives only a mood. Lexically anchored bans are therefore easier to follow than adjectives.

The list comes from two sources: words your company has always avoided (buzzwords, empty phrases, industry clichés), and constructions that stood out in your recent AI outputs. The latter is iterative — add two or three new observations per output until the profile stabilises.

The list is not a manifesto — it is a tool. Ten to fifteen entries are enough to start. A short reason per word («too generic», «sounds like an ad agency», «doesn't match our standard») helps the AI understand the pattern.

Once you have the brand voice profile and the persona, you should not paste them in again with every prompt. Three of the big providers have configuration containers for this: Custom GPTs at OpenAI, Projects at Anthropic Claude, Gems at Google Gemini. All three do the same thing — they bind documents and system instructions to a reusable assistant.

This shifts the work. Instead of maintaining 200 templates, the team maintains one assistant. Instead of copying the brand voice into every prompt, it lives in the configuration. The promise of «template instead of writing» only holds once this step is done.

For most Swiss SMEs the choice is pragmatic: ChatGPT, if the team already works in Microsoft 365 and uses Copilot Enterprise. Claude, if tone fidelity is the most important factor and there is no Microsoft lock-in. Gemini, if Workspace is already the standard. The platform choice is smaller than the jump from no custom assistant to one. If you'd rather not build it in-house, AI and automation for Swiss SMEs offers support.

The finest brand voice profile is no help if data privacy gets in the way. The moment personal or confidential data enters the prompt — a customer list, internal pitches, financial figures — different rules apply than for general marketing tasks.

Consumer-tier tools (ChatGPT Plus, Claude Pro, Gemini Free) are off limits in this setup. They process prompts outside the EU/CH and partly use inputs for training. For Swiss SMEs subject to the DSG/nDSG, that is untenable.

The enterprise variants offer contractual guarantees for data residency, no training on inputs, and usually a data processing agreement (DPA) with standard contractual clauses. These include Microsoft Copilot Enterprise on Azure EU, Claude Enterprise with an EU tenant, Mistral Le Chat in the EU, and Apertus via Swisscom AI Studio in Switzerland. For marketing copy without personal reference (a general blog intro, generic social captions), consumer tools remain acceptable — as long as the split is clear within the team.

Brand voice and the design system are the same discipline on two levels. Anyone who cleanly defines what the brand sounds like and what it does not sound like has gained the same clarity for the visual presence too. Tone and visual language run in parallel — a vague tone rarely sits well with a precise logo manual.

Concretely, this means: once the brand voice profile exists, a short alignment with the visual identity pays off. Which words are forbidden — and which image types match that? Which tone is set — and does the design system fit it? Sessions like these take an hour and close gaps that would otherwise nag in the background for months.

For SMEs without a formal corporate design, the brand voice profile is often even the entry point. It is cheaper to create than a complete corporate identity manual, takes immediate effect on content output, and gives the brand a sharpness that can later be translated into the visual.

Google does not rate AI-generated content worse across the board — what matters is the helpful-content assessment. Texts that sound average, with no position of their own and no audience relevance, land exactly where HubSpot, neuroflash, and countless other providers already rank: in the middle, with no E-E-A-T profile.

Brand-specific AI content, by contrast, can rank when three conditions are met: a recognisable position, concrete examples from real business, and author attribution with substance (E-E-A-T). A brand voice profile solves the tone problem; the persona setup solves the relevance problem; human final editing solves the E-E-A-T problem.

In practice: AI first drafts with good input are an accelerator for SEO content, not a replacement for it. Anyone who publishes the output directly, without a person with industry knowledge reading over it, gives away the E-E-A-T substance that Google now weights for marketing topics.

Prompt lists have their place — but not the one most providers claim. They are useful as a source of inspiration for formats (what can I even build with AI?), not as copy-paste templates. Anyone who takes a prompt from a list gets the same result as everyone else who used that prompt.

A catalogue becomes useful once it becomes your own: maintained by the team, built from prompts that work well with your brand voice profile, and versioned. That is closer to an internal knowledge base than a public collection.

The list stays useless in two situations: when it is built without a brand voice briefing (no lever), or when it is meant as a replacement for human final editing (no E-E-A-T). In both cases the maintenance effort is greater than the benefit of reuse. If you want to be sure here: the best AI tools for Swiss companies gives an overview of tools you can use to build a sensible catalogue of your own.