Prompts for Marketing: Content, Ad Copy, Ideas

How is a prompt chosen for a marketing job?

Name the job first, not the tool. The input for a content brief is not the same as for an ad headline. One foregrounds search intent and a source map; the other foregrounds the offer, the proof, platform limits and prohibited claims.

OpenAI's prompting guide recommends writing the task clearly, giving enough context and splitting complex work into small requests. Marketing adds two more questions: which proof does the answer rest on, and who will approve it? For the underlying structure, see the effective prompt guide first.

5 prompts for content research and editing

1. Map of audience questions

   "Split the questions [audience] might ask about [topic] before deciding into the starting, comparison, risk and purchase stages. Write the need behind each question. If no data on search volume and user behaviour was given, don't invent numbers; list the source needed for confirmation separately."

2. Source-bound content brief

   "Using these primary sources [links or documents], prepare a content brief for [search intent]. Include a direct answer, the important sub-questions, a comparison table, a practical example, objections and an FAQ. Write the source beside every fact; mark any claim not in the sources as 'to be verified'."

3. Adapting one idea per channel

   "The core idea is: [idea]. Adapt it into a 180–250-word explanation for LinkedIn, a short headline and 6-slide carousel skeleton for Instagram, and a subject line plus 120-word text for email. Don't copy the same text three times. Build the reader's context and one call to action separately for each channel."

4. Brand voice edit

   "Compare this text against [brand voice samples]: [text]. First point out the specific sentences that break the tone, then edit without changing the facts. Remove artificial pathos, generic 'innovative solution' phrases and unevidenced superiority claims. Add a one-sentence editor's note at the main places you changed."

5. Fact and meaning audit

   "Check the text sentence by sentence: [draft]. Label facts, opinions, forecasts and advertising claims separately. Show in a table any undated number, unsourced comparison, correlation presented as causation, and terms that distort meaning in Azerbaijani. Don't fix the facts yourself; demand a verified source."

5 prompts for ad copy and landing pages

6. Message angles for an offer

   "Product: [product]; audience: [segment]; verified advantage and proof: [proof]. Build five distinct message angles: problem, convenience, cost, risk and outcome. Don't exceed the proof's boundary, don't write unverified opinions about competitors and don't promise guaranteed results."

7. Ad variants within platform limits

   "Write 8 ad variants for [platform] within [character limit]. Each variant gets one headline, one key benefit and one call to action. Source offer: [offer]; usable proof: [proof]; prohibited phrases: [list]. Don't repeat variants by merely swapping words."

8. Ad–landing page alignment

   "Compare this ad copy with the landing page: [ad] and [page]. Show mismatches in the offer, price, duration, audience and call to action in a table. Flag separately the promises made in the ad but not proven on the page. Don't add new claims."

9. Claim and discount check

   "Extract all objective claims in this text: [ad copy]. For claims about price, discounts, availability, delivery, warranty, certification and results, create columns for 'proof exists / proof missing / needs legal review'. Don't automatically soften phrases like 'best', '100%' and 'guaranteed'; ask for the basis of use first."

10. Shortening ad copy at three sizes

    "Shorten the ad below at three levels (120, 70 and 35 words) without losing the meaning: [text]. Keep who the product suits, the key proof and the conditions. Don't invent urgency, add fear-based manipulation or hidden terms. Note the key detail you removed in each version."

5 prompts for campaign ideas and results analysis

11. Campaign ideas from one problem

    "The audience's verified problem: [problem]; the product's proven role: [role]. Derive 10 campaign ideas from this link. For each idea write the core message, the fitting channel, the material needed, the risk and a small test. Don't use a trend merely because it's popular."

12. 7-day creative test

    "Build a 7-day ad creative test for [product and audience]. Change only one key variable at a time — the message, the visual or the offer. Write the baseline variant, the budget cap, the primary metric, the secondary metric, the minimum-data condition and the stop rule. Don't present the expected result as fact."

13. Pre-campaign objection audit

    "Check the campaign idea from the standpoints of a sceptical customer, an existing customer, the sales team and legal review: [idea]. For each standpoint give the unclear part, the objection, the proof needed and a suggested fix. Don't defend the idea to soften the criticism."

14. Diagnosing a results table

    "Verify the calculations in this campaign table: [data]. Separate spend, impressions, clicks, qualified leads, sales and revenue by stage. Account for period and tracking changes. Write the possible causes of the change as hypotheses; don't declare one campaign as the cause."

15. Decision note and next test

    "Prepare a one-page decision note from this test result: [result]. What was tested, what changed, which data is unreliable, what was learned, what stops, and which single hypothesis will the next test check? Justify the 'success/failure' verdict with the threshold set in advance."

How is AI content tested for Google and a real audience?

Google does not ban AI-written text merely because a tool was used. The problem is producing masses of pages with no original value to influence search results. Google's guidance on generative AI content says AI can be useful for research and structure, while large-scale production that gives users no value can violate the spam policy. The people-first content documentation likewise demands original information, clear authorship, verified sources and answers that help the reader finish their task.

1. Freeze the task before the answer. Write the audience, goal, sources, format and acceptance criteria.
2. Start with one real example. Take the text or campaign you published last week, not a comfortable demo.
3. Open the facts in primary sources. Check the link the AI gave, the date, and that the quote actually supports the claim.
4. Measure the editorial load. Record not the speed of the first answer but the time and the number of substantive fixes to reach a publish-ready version.
5. Separate the audience reactions. Clicks, quality leads and sales are not the same metric. Choose in advance which stage you want to improve.
6. Keep the result versioned. The prompt, model, date, input, output and human edits must stay together.

For SEO text, don't force the keyword into sentences. Give the short answer to the question first, then add your own experience, an example and the sources. For broader structure read the SEO guide; for general work scenarios, the business prompts.

How are ad claims, privacy and human approval protected?

Articles 6–8 of Azerbaijan's Law "On Advertising" prohibit unfair, inaccurate and hidden advertising. Article 7 separately lists distorted information about a product's characteristics, availability, price, discounts, payment, delivery, warranty and test results. For the current text, check the official document on e-qanun.az. There may be additional requirements per product and channel; in a high-risk campaign, a lawyer's opinion replaces this general guide.

Google Ads' misrepresentation policy does not accept unavailable offers, hidden prices, unreliable outcome promises and claims inflated for clicks. In other words, a sentence the AI made "stronger" can also be riskier for the platform and the law.

Don't upload customer lists, emails, phone numbers, contracts and sales records as-is to a personal account. Remove unnecessary fields, anonymise the data and use an account approved by your organisation. Keep the final approval line clear: who verifies the facts, who approves the legal claims, who can stop the campaign?