Break down your target audience into segments
Start with people, not text. Ask the neural network to take the client’s place. For segments: “Describe three target audience segments for INSERT PRODUCT - their pain points, objections and purchase triggers.” For empathy: “Make a portrait of a client INSERT PRODUCT: a day in the life, fears that he googles before buying.” For audience language: “Collect 15 phrases that people in the INSERT NICHE niche use to describe their problem in their own words.” For priority: “Rank these segments by willingness to pay and explain the logic.” Check your conclusions using real reviews and interviews: a neural network provides a plausible hypothesis, but does not replace a live conversation with a client.
Collect offers and positioning
A strong offer is born from a selection of options. Ask: “Formulate 10 offers for INSERT PRODUCT using the formula benefit plus closing an objection.” Then narrow it down: “Rewrite your top three offers as briefly as a button label.” To tune: “Compare INSERT PRODUCT with two typical competitors and suggest how we differ in the eyes of the client.” For meanings: “Give me five positioning options - from premium to budget - with one promise phrase for each.” And a test of humanity: “Take out the bureaucracy and general words, leave the specifics.” Leave the final choice to yourself: the offer must be true, which you can fulfill.
Write selling texts and landing pages
It’s easier to collect text in blocks rather than as a whole. Structure: “Make a prototype of a landing page for INSERT PRODUCT: first screen, pains, benefits, handling objections, call to action.” For headings: “Give 10 first screen headings for the INSERT SEGMENT audience.” For trust: “Formulate five blocks of evidence: numbers, cases, guarantees, reviews, facts about the company.” For volume: “Expand the block of benefits into paragraphs in the client’s language, without superlatives.” For the finale: “Write three versions of the call - soft, direct and with a time limit.” Read the finished text out loud: if the phrase sounds like an advertisement and not a conversation, rewrite it.
Plan content and posts for social networks
Regularity is based on a plan, not on inspiration. Ask: “Make a content plan for a month for INSERT SOCIAL NETWORK according to the INSERT PRODUCT product: categories, topics, formats, frequency.” For ideas: “Give 20 post topics for the pain of the audience INSERT SEGMENT, break it down into educational, selling and engaging.” For a specific post: “Write a post on INSERT TOPIC: catchy beginning, benefit, soft appeal.” For repackaging: “Turn this article into five short posts and a video script.” Remember that the neural network does not know your latest statistics and trends of the week - you add relevance and brand voice, otherwise the feed sounds the same for everyone.
Write letters that are opened and read
Email is the least forgiving, so the prompt must be precise. For the chain: “Make a welcome series of five letters for INSERT PRODUCT: the purpose and topic of each letter.” For a specific letter: “Write a letter about INSERT REASON: subject, preheader, text, one appeal.” For the topic: “Give 10 letter topics with different mechanics - intrigue, benefit, number, question.” To revive the base: “Compose a letter for those who haven’t opened it for a long time, without feeling guilty or pressure.” For extra pressure: “Rewrite this letter in half as short, leaving one meaning.” Always check the promises in the letter with what the client will actually receive.
Test hypotheses and learn to formulate queries
Analytics is where a neural network saves hours of routine work. For hypotheses: “Suggest 10 reasons why the conversion rate of the INSERT PRODUCT landing page is falling, from important to minor.” For tests: “Make a plan for an A/B test of the title: what we are changing, the metric, how to understand the result.” For the report: “Explain in simple words what these numbers say, INSERT DATA, and what to do next.” Still, double-check the exact indicators and conclusions about money yourself - the model makes mistakes in arithmetic. Note: the more precisely you describe the problem, the stronger the answer. This is the prompting skill, and you can practice it in a free introductory lesson, where you learn how to turn a vague task into a clear request.