Prompt Library

ChatGPT Prompts for Content Marketing

30 copy-paste prompts

Thirty copy-paste prompts that turn ChatGPT into a content team — strategy, ideation, drafting, repurposing, distribution, and measurement. Swap in [BRAND], [TOPIC], and [AUDIENCE] and run.

In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 15 prompts are free instantly — no signup needed. Hand-curated and tested by the AI Academy team.

By Louis Corneloup · Founder, Techpresso
Last updated ·Hand-curated & tested by the AI Academy team

Content Strategy

5 prompts

Build a Quarterly Content Strategy

1/30

<context> Brand: [BRAND] Audience: [AUDIENCE] Business goal this quarter: [GOAL e.g. pipeline, signups, retention] Primary channels: [CHANNELS e.g. blog, LinkedIn, newsletter] Current content maturity: [none / sporadic / consistent] </context> <task> 1. Define one measurable content objective tied to [GOAL] with a target metric and timeframe. 2. Identify 3 audience segments inside [AUDIENCE] and the job-to-be-done each cares about. 3. Propose 4 content pillars that ladder up to the objective; justify each in one sentence. 4. Map each pillar to a primary channel and a funnel stage (TOFU/MOFU/BOFU). 5. Recommend a realistic weekly cadence given the maturity level. 6. List the 3 biggest risks to execution and a mitigation for each. Return as a structured brief with headers. </task>

A quarter-long content strategy brief with objective, pillars, channel mapping, cadence, and risks.

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Pro tip: Paste your last quarter's top-5 performing URLs into the context so ChatGPT anchors pillars to what already worked.

Define Content Pillars from Audience Pain

2/30

<context> Brand: [BRAND] Audience: [AUDIENCE] Top 5 customer pain points: [LIST] Product categories: [CATEGORIES] </context> <task> 1. Cluster the pain points into 3-5 themes; name each theme as a content pillar. 2. For each pillar, write a one-line positioning statement connecting [BRAND] to the pain. 3. List 6 sub-topics per pillar suitable for long-form articles. 4. Flag which pillars are differentiated vs. table-stakes vs. me-too. 5. Recommend which single pillar to over-invest in this quarter and why. Return as a pillar table. </task>

A pillar framework grounded in real customer pain, with positioning and prioritization.

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Pro tip: Ask ChatGPT to rank pillars by your ability to win vs. competitors before you commit budget.

Map Content to the Buyer Journey

3/30

<context> Brand: [BRAND] Audience: [AUDIENCE] Product: [PRODUCT] Sales cycle length: [DAYS/WEEKS] </context> <task> 1. Define the buyer journey stages for [AUDIENCE] (awareness, consideration, decision, retention). 2. For each stage, describe the dominant question the buyer is asking. 3. Recommend 2 content formats per stage that best answer that question. 4. Give one concrete title example per format. 5. Identify the single most underserved stage and explain the opportunity. Return as a journey map table. </task>

A full-funnel content map matching formats and titles to each buyer-journey stage.

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Pro tip: Tell ChatGPT which stage your current library over-indexes on so it surfaces the gap, not more of the same.

Competitive Content Gap Analysis

4/30

<context> Brand: [BRAND] Main competitors: [COMPETITOR 1, COMPETITOR 2, COMPETITOR 3] Topic area: [TOPIC] Audience: [AUDIENCE] </context> <task> 1. List the content angles competitors most likely own around [TOPIC]. 2. Identify 5 angles they are probably under-serving for [AUDIENCE]. 3. For each gap, rate difficulty to win (low/med/high) and expected payoff. 4. Recommend 3 gaps [BRAND] should attack first. 5. Suggest a distinctive point of view that would make [BRAND]'s take hard to copy. Return as a gap table plus a 2-sentence POV recommendation. </task>

A prioritized list of content gaps competitors miss, with a defensible point of view.

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Pro tip: Paste competitor blog index pages into the prompt so the gap analysis reflects what they actually publish, not assumptions.

Set Content KPIs and Targets

5/30

<context> Brand: [BRAND] Content objective: [OBJECTIVE] Channels: [CHANNELS] Current baselines (if any): [METRICS] </context> <task> 1. Recommend one north-star content metric tied to [OBJECTIVE]. 2. List 3 leading indicators that predict the north-star metric. 3. List 3 lagging/business indicators that prove impact. 4. Propose realistic 90-day targets given the baselines (or industry benchmarks if none). 5. Define a simple weekly reporting format covering all metrics. Return as a KPI tree with targets. </task>

A KPI tree separating leading from lagging metrics with realistic 90-day targets.

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Pro tip: Ask ChatGPT to label each metric as vanity, actionable, or business so you cut what does not drive decisions.

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Ideation & Research

5 prompts

Generate 30 Topic Ideas from One Pillar

6/30

<context> Brand: [BRAND] Content pillar: [PILLAR] Audience: [AUDIENCE] Funnel stage focus: [TOFU/MOFU/BOFU] </context> <task> 1. Generate 30 specific article titles under [PILLAR] for [AUDIENCE]. 2. Vary the formats: how-to, listicle, opinion, case study, comparison, framework, mistake. 3. Tag each idea with its likely funnel stage and search intent. 4. Flag the 5 with the strongest organic upside and the 5 best for social. 5. Avoid generic titles; each must imply a specific takeaway. Return as a numbered table with format and intent columns. </task>

Thirty specific, format-varied article ideas tagged by intent and funnel stage.

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Pro tip: Reject the first batch with "make every title more specific and contrarian" — the second pass is almost always sharper.

Mine Customer Language for Angles

7/30

<context> Brand: [BRAND] Audience: [AUDIENCE] Raw customer quotes / reviews / support tickets: [PASTE TEXT] </context> <task> 1. Extract the recurring phrases and exact wording customers use about [TOPIC]. 2. Group them into desires, objections, and points of confusion. 3. Turn each group into 3 content angles written in the customer's own language. 4. Flag any phrases worth using verbatim as headlines. 5. Note which angles reveal an underserved need. Return as a voice-of-customer table. </task>

Content angles built from real voice-of-customer language, with headline-ready phrases.

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Pro tip: Feed ChatGPT raw, unedited reviews — cleaned-up summaries strip the exact phrasing that makes headlines resonate.

Research a Topic into an Outline

8/30

<context> Topic: [TOPIC] Audience: [AUDIENCE] Depth required: [beginner / intermediate / expert] Word-count target: [WORDS] </context> <task> 1. Summarize what [AUDIENCE] already knows vs. needs to learn about [TOPIC]. 2. List the 6-9 sub-questions a complete article must answer. 3. Order them into a logical H2/H3 outline. 4. For each section, note the key point and one supporting data point or example to find. 5. Flag any claim that needs a cited source before publishing. Return as a structured outline with research to-dos. </task>

A research-backed article outline with section-level key points and source flags.

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Pro tip: Ask ChatGPT to mark which claims it is uncertain about so you verify those before drafting, not after.

Find Trending and Evergreen Angles

9/30

<context> Brand: [BRAND] Topic area: [TOPIC] Audience: [AUDIENCE] </context> <task> 1. Propose 8 evergreen angles that stay relevant for 12+ months. 2. Propose 6 timely angles tied to current shifts in [TOPIC]. 3. For each timely angle, note the window of relevance. 4. Recommend a 70/30 split plan across evergreen and timely. 5. Flag any angle at risk of going stale fast. Return as two labeled lists plus a split recommendation. </task>

A balanced mix of evergreen and timely angles with relevance windows.

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Pro tip: ChatGPT's knowledge has a cutoff — confirm "timely" angles against current news before you build a calendar around them.

Build a Content Calendar from Ideas

10/30

<context> Brand: [BRAND] Approved ideas: [PASTE LIST] Cadence: [POSTS PER WEEK] Channels: [CHANNELS] Key dates / launches: [DATES] </context> <task> 1. Sequence the approved ideas across a 6-week calendar at the given cadence. 2. Balance funnel stages and formats across each week. 3. Anchor relevant pieces to the key dates and launches. 4. Assign a primary channel and a repurposing channel to each piece. 5. Flag any week that is thin or overloaded and rebalance. Return as a week-by-week calendar table. </task>

A balanced 6-week content calendar with channels and launch anchors mapped per piece.

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Pro tip: Give ChatGPT your real publishing constraints (holidays, capacity) so the calendar is executable, not aspirational.

Creation & Drafting

5 prompts

Draft a Full SEO Blog Article

11/30

<context> Title: [TITLE] Target keyword: [KEYWORD] Audience: [AUDIENCE] Brand voice: [VOICE e.g. direct, expert, friendly] Word count: [WORDS] Outline (if any): [PASTE OUTLINE] </context> <task> 1. Write the full article in [BRAND]'s voice for [AUDIENCE]. 2. Open with a hook that states the reader's problem in the first two sentences. 3. Use the keyword naturally in the intro, one H2, and the conclusion — never forced. 4. Include concrete examples, a short actionable list, and one mini-framework. 5. Close with a single clear next step. 6. Keep paragraphs to 2-3 sentences for scannability. Return the finished draft with H2/H3 headers. </task>

A complete, scannable SEO article in your brand voice with a natural keyword and clear CTA.

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Pro tip: Paste 2-3 paragraphs of your existing content as a voice sample first — it matches tone far better than describing the voice.

Write a Strong Intro and Hook

12/30

<context> Topic: [TOPIC] Audience: [AUDIENCE] The one promise of the piece: [PROMISE] Tone: [TONE] </context> <task> 1. Write 5 distinct opening hooks: a bold claim, a surprising stat, a question, a story, and a contrarian take. 2. Each hook must lead naturally into [PROMISE]. 3. Keep each under 60 words. 4. Note which hook fits which channel best. 5. Recommend your top pick and explain why in one line. Return as 5 labeled options plus a recommendation. </task>

Five swipeable article openings in different styles with a recommended pick.

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Pro tip: Run the winning hook through "make it 20% shorter" — tighter openings almost always raise read-through.

Turn a Brain-Dump into a Clean Draft

13/30

<context> Audience: [AUDIENCE] Goal of the piece: [GOAL] My raw notes / transcript: [PASTE MESSY TEXT] </context> <task> 1. Identify the single core argument buried in the notes. 2. Reorganize the ideas into a logical structure with headers. 3. Cut repetition and tangents; keep every original insight. 4. Smooth the prose for [AUDIENCE] without inventing new claims. 5. Flag any gap where a missing point would strengthen the piece. Return the cleaned draft plus a short list of gaps. </task>

A coherent draft assembled from messy notes, with no invented facts and flagged gaps.

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Pro tip: Explicitly say "do not add facts I did not provide" — it keeps ChatGPT from hallucinating stats into your draft.

Write Headlines and Meta Descriptions

14/30

<context> Article topic: [TOPIC] Target keyword: [KEYWORD] Audience: [AUDIENCE] Primary benefit: [BENEFIT] </context> <task> 1. Write 10 headline options using varied formulas (number, how-to, question, promise, curiosity). 2. Keep each headline under 60 characters where possible and include or imply [KEYWORD]. 3. Write 3 meta descriptions of 150-160 characters, each with a benefit and soft CTA. 4. Rate each headline on clarity and click appeal (1-5). 5. Recommend the strongest headline and meta pairing. Return as labeled lists with ratings. </task>

Ten rated headlines and three SEO meta descriptions with a recommended pairing.

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Pro tip: Ask for "5 clear and 5 curiosity-driven" headlines so you can A/B test informational vs. intrigue angles.

Add Examples, Data Hooks, and Analogies

15/30

<context> Draft section: [PASTE SECTION] Audience: [AUDIENCE] Level of expertise: [LEVEL] </context> <task> 1. Identify 3 abstract claims in the section that need grounding. 2. For each, suggest a concrete example relevant to [AUDIENCE]. 3. Propose one analogy that makes the hardest concept intuitive. 4. Suggest 2 data points worth sourcing (mark as "verify before publishing"). 5. Rewrite one weak paragraph applying the additions. Return the suggestions plus the rewritten paragraph. </task>

Concrete examples, an analogy, and data hooks that turn abstract sections vivid and credible.

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Pro tip: Treat every suggested statistic as unverified — ChatGPT invents plausible numbers; always confirm before publishing.

Repurposing

5 prompts

Turn a Blog Post into a LinkedIn Series

16/30

<context> Source article: [PASTE OR SUMMARY] Brand: [BRAND] Audience: [AUDIENCE] LinkedIn voice: [VOICE] </context> <task> 1. Extract the 5 strongest standalone insights from the article. 2. Turn each into a LinkedIn post with a scroll-stopping first line and short lines. 3. Vary the hooks across the 5 posts so they do not feel repetitive. 4. End each with a question or soft CTA that fits [AUDIENCE]. 5. Suggest a posting order and spacing over 2 weeks. Return as 5 ready-to-post drafts plus a schedule. </task>

Five distinct LinkedIn posts derived from one article, with hooks, CTAs, and a schedule.

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Pro tip: Tell ChatGPT to keep the first line under 12 words — LinkedIn truncates, so the hook must land before "see more".

Convert an Article into an Email

17/30

<context> Source article: [PASTE OR SUMMARY] Newsletter audience: [AUDIENCE] Goal: [drive clicks / nurture / promote] Voice: [VOICE] </context> <task> 1. Write 3 subject line options optimized for open rate. 2. Write a 150-250 word email that delivers one core takeaway, not the whole article. 3. Use a conversational tone for [AUDIENCE] and short paragraphs. 4. Add one clear CTA linking to the full article. 5. Suggest preview text under 90 characters. Return subject lines, preview text, and the email body. </task>

A concise nurture email with subject options and preview text that teases the full article.

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Pro tip: Ask for one curiosity subject and one benefit subject so you can split-test which framing your list prefers.

Spin a Post into a Twitter/X Thread

18/30

<context> Source content: [PASTE OR SUMMARY] Audience: [AUDIENCE] Desired outcome: [follows / clicks / saves] </context> <task> 1. Write a hook tweet that promises a specific payoff in under 240 characters. 2. Break the core ideas into 6-9 tweets, one idea each. 3. Make each tweet skimmable; use line breaks, not jargon. 4. End with a CTA tweet tied to [DESIRED OUTCOME]. 5. Suggest one image or screenshot idea for the hook tweet. Return the full thread numbered, plus the visual idea. </task>

A tight Twitter/X thread with a strong hook, one-idea tweets, and a closing CTA.

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Pro tip: Have ChatGPT rewrite only the hook tweet five ways — the first tweet decides whether the whole thread gets read.

Script a Short-Form Video from Content

19/30

<context> Source content: [PASTE OR SUMMARY] Platform: [Reels / TikTok / Shorts] Audience: [AUDIENCE] Length: [SECONDS] </context> <task> 1. Write a 3-second hook line spoken to camera. 2. Script the body as 4-6 spoken beats delivering one idea each. 3. Keep language tight and conversational for [AUDIENCE]. 4. Add on-screen text suggestions for each beat. 5. End with a verbal CTA and a caption with 3-5 hashtags. Return the script with timestamps, on-screen text, and caption. </task>

A timestamped short-form video script with hook, beats, on-screen text, and caption.

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Pro tip: Ask ChatGPT to write the hook for "the version where the viewer almost scrolls past" — it forces a sharper first line.

Bundle Articles into a Lead Magnet

20/30

<context> Related articles: [LIST TITLES / SUMMARIES] Brand: [BRAND] Audience: [AUDIENCE] Desired format: [guide / checklist / template / ebook] </context> <task> 1. Define a single transformation the lead magnet promises [AUDIENCE]. 2. Propose a title and subtitle that sell that transformation. 3. Outline the chapters/sections, mapping each to a source article. 4. Identify what new connective content must be written to make it cohesive. 5. Suggest an opt-in headline and 2-line description for the landing page. Return the title, outline, and opt-in copy. </task>

A lead-magnet blueprint that bundles existing articles into a cohesive gated asset with opt-in copy.

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Pro tip: Ask which single article is strong enough to be the lead magnet alone — sometimes one deep post beats a thin bundle.

Distribution & Promotion

5 prompts

Build a Multi-Channel Distribution Plan

21/30

<context> New content piece: [TITLE / TOPIC] Brand: [BRAND] Audience: [AUDIENCE] Available channels: [CHANNELS] Goal: [traffic / leads / awareness] </context> <task> 1. Map a launch-day, week-one, and ongoing promotion sequence across [CHANNELS]. 2. Specify the native format the piece takes on each channel. 3. Identify 2 owned, 1 earned, and 1 paid distribution tactic. 4. Recommend the single highest-leverage channel for [AUDIENCE]. 5. Define one success metric per channel. Return as a phased distribution plan table. </task>

A phased owned-earned-paid distribution plan with native formats and per-channel metrics.

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Pro tip: Use the 1:3 rule — ask ChatGPT to plan three promotion actions for every one piece you create, so distribution outweighs production.

Write Channel-Native Promo Posts

22/30

<context> Content piece: [TITLE + LINK] Key takeaway: [TAKEAWAY] Channels: [LinkedIn, X, Instagram, Reddit, etc.] Audience: [AUDIENCE] </context> <task> 1. Write one native promo post per channel — match each platform's tone and length. 2. Lead with value, not "check out my new post". 3. Adapt the CTA to each platform's norms. 4. For community channels (Reddit, Slack), write a non-spammy, contribution-first version. 5. Note any channel where self-promo would backfire and suggest an alternative. Return as labeled per-channel drafts. </task>

Tailored promo posts that respect each platform's norms, including community-safe versions.

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Pro tip: For Reddit or niche communities, ask for a "give first, link last" version — overt self-promo gets removed or downvoted.

Draft Outreach for Backlinks and Shares

23/30

<context> Content piece: [TITLE + LINK] Why it is valuable: [VALUE] Target recipients: [bloggers / journalists / partners] Brand: [BRAND] </context> <task> 1. Write a 4-sentence cold outreach email: relevance, value, specific ask, easy yes. 2. Personalize the opener with a placeholder for a genuine detail. 3. Write 2 subject line options under 50 characters. 4. Write one short follow-up for non-responders. 5. Keep the tone human — no flattery, no buzzwords. Return the email, subjects, and follow-up. </task>

A concise, personalized outreach email plus subject lines and a follow-up for links and shares.

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Pro tip: Make the ask absurdly specific ("would a link from your X roundup fit?") — vague asks like "thoughts?" rarely convert.

Plan a Community and Newsletter Push

24/30

<context> Content piece: [TITLE / TOPIC] Audience: [AUDIENCE] Communities I belong to: [LIST] Newsletter size and theme: [DETAILS] </context> <task> 1. Recommend which communities fit [TOPIC] and the right way to share in each. 2. Draft a newsletter blurb that frames the piece as a reader benefit. 3. Suggest a partner-newsletter swap angle if relevant. 4. Identify timing that maximizes reach for [AUDIENCE]. 5. List 3 ways to spark replies and discussion, not just clicks. Return as a community-and-email push plan. </task>

A targeted community and newsletter distribution plan focused on engagement, not just reach.

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Pro tip: Ask ChatGPT to flag communities where a soft mention beats a link drop — relationship-first sharing outperforms broadcasting.

Repackage Top Content for Paid Ads

25/30

<context> Best-performing content: [TITLE / TOPIC] Brand: [BRAND] Audience: [AUDIENCE] Platform: [Meta / LinkedIn / Google] Goal: [leads / traffic] </context> <task> 1. Extract the single most compelling promise from the content. 2. Write 3 ad headline + primary-text variations using different angles (pain, gain, curiosity). 3. Suggest a hook-aligned creative concept for each. 4. Recommend the audience targeting that matches the content theme. 5. Define the conversion event and one metric to optimize. Return as 3 ad variations plus targeting and measurement notes. </task>

Three paid-ad variations built from proven content, with creative concepts and targeting.

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Pro tip: Only feed ChatGPT content that already performed organically — promoting unproven pieces with ad spend wastes budget.

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Performance & Optimization

5 prompts

Audit and Refresh an Underperforming Post

26/30

<context> Article: [PASTE OR SUMMARY] Target keyword: [KEYWORD] Current performance: [TRAFFIC / RANKING / ENGAGEMENT] Audience: [AUDIENCE] </context> <task> 1. Diagnose the 3 most likely reasons the post underperforms (intent, depth, freshness, structure). 2. Recommend specific edits to better match search intent for [KEYWORD]. 3. Suggest sections to add, cut, or update. 4. Propose a stronger title and intro. 5. List on-page improvements (internal links, headers, CTA, scannability). Return as a prioritized refresh checklist. </task>

A prioritized content-refresh checklist diagnosing why a post underperforms and how to fix it.

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Pro tip: Paste the live URL's current headings so ChatGPT critiques the real structure rather than guessing at it.

Analyze Content Metrics and Next Steps

27/30

<context> Reporting period: [DATES] Metrics by piece: [PASTE DATA — views, time, conversions, source] Objective: [OBJECTIVE] Audience: [AUDIENCE] </context> <task> 1. Identify the top 3 and bottom 3 performers and the likely reason for each. 2. Surface 2 non-obvious patterns across topics, formats, or channels. 3. Recommend what to double down on and what to stop. 4. Suggest 3 experiments for next period tied to [OBJECTIVE]. 5. Write a 3-bullet summary for stakeholders. Return analysis plus the stakeholder summary. </task>

A data-driven performance readout with patterns, recommendations, and a stakeholder summary.

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Pro tip: Paste raw exported rows, not a pre-summarized table — ChatGPT spots patterns you already filtered out.

Optimize a Draft for SEO

28/30

<context> Draft: [PASTE] Primary keyword: [KEYWORD] Secondary keywords: [LIST] Audience: [AUDIENCE] Search intent: [informational / commercial] </context> <task> 1. Confirm whether the draft matches the stated search intent; flag mismatches. 2. Recommend keyword placement in title, H2s, intro, and conclusion without stuffing. 3. Suggest 5 related questions to answer for topical depth. 4. Recommend internal and external linking opportunities. 5. Propose a meta title and description. Return an SEO optimization checklist with the meta tags. </task>

An on-page SEO checklist with intent check, keyword placement, related questions, and meta tags.

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Pro tip: Ask for "the People Also Ask questions you would expect for this keyword" to expand topical coverage naturally.

Improve Readability and Engagement

29/30

<context> Draft: [PASTE] Audience: [AUDIENCE] Reading level target: [LEVEL] </context> <task> 1. Flag long sentences, passive voice, and jargon unsuited to [AUDIENCE]. 2. Suggest where to add subheads, lists, or pull-quotes for scannability. 3. Recommend tightening any paragraph over 4 sentences. 4. Identify the weakest section and rewrite it as an example. 5. Estimate the current vs. target reading level. Return an edit list plus the rewritten section. </task>

A readability edit list with scannability fixes and one rewritten weak section.

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Pro tip: Ask ChatGPT to read the draft "as a skeptical, time-pressed reader" — it surfaces where attention drops off.

Set Up Content A/B Test Variations

30/30

<context> Asset to test: [headline / CTA / intro / thumbnail] Current version: [PASTE] Audience: [AUDIENCE] Metric to improve: [METRIC] </context> <task> 1. State a clear hypothesis for why a change would lift [METRIC]. 2. Write 3 test variations, each isolating one variable. 3. Explain the angle each variation tests (emotion, specificity, urgency). 4. Recommend the minimum sample or duration before deciding. 5. Note what result would prove or disprove the hypothesis. Return the hypothesis, variations, and decision rule. </task>

A structured A/B test with hypothesis, isolated variations, and a clear decision rule.

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Pro tip: Force one variable per variation — if ChatGPT changes wording and length at once, you will not know what moved the metric.

Frequently Asked Questions

Copy a prompt, replace the bracketed placeholders like [BRAND], [TOPIC], and [AUDIENCE] with your real details, and paste it into ChatGPT. The structured context and task blocks give the model the framing it needs, so the more specific your inputs, the sharper the output. Treat the first response as a draft and refine with follow-ups.
Any current ChatGPT model handles these prompts, but the more capable reasoning models produce stronger strategy, research, and long-form drafts. For quick repurposing and headline variations, a faster model is fine. If a draft feels shallow, switch to the most capable model and re-run the same prompt.
It can, if you add real expertise, original examples, and verified data on top of the draft. Search engines reward helpful, accurate content regardless of how it was produced. Use these prompts to accelerate structure and first drafts, then edit for accuracy, voice, and genuine insight before publishing.
Tell it explicitly not to add facts you did not provide, and treat every number it generates as unverified until you confirm the source. The drafting and data-hook prompts here flag claims that need sourcing for exactly this reason. Never publish a statistic from ChatGPT without checking the original source.
Yes. Paste two or three paragraphs of your existing best content as a voice sample inside the context block before asking ChatGPT to write. Matching an example works far better than describing your tone in words, and you can save the sample to reuse across every drafting and repurposing prompt.

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