10 Paste Ready ChatGPT Prompts for Australian Agencies

ChatGPT prompts give your marketing team a faster path from blank page to usable draft: clearer briefs, repeatable outputs and fewer stalled campaigns. The categories worth trying first are campaign planning, content creation, paid media, social posts, analytics reporting and competitor analysis. Every prompt in this guide is ready to paste and adjust, so you can start testing them in your next planning session.

TL;DR:

Using ChatGPT for campaign planning helps generate clear timelines and creative structures, but always verify metrics and strategies against actual goals.

Prompts for content, ads, and social media can produce first drafts and variations quickly, yet human review remains essential to ensure accuracy and brand consistency.

Building a shared prompt library with version control improves consistency and efficiency, with iterative testing and verification before publishing.

Always confirm factual accuracy, privacy compliance, and brand voice matching, and retain records of prompts used for accountability and audits.

While ChatGPT streamlines tasks, organizations should treat it as a drafting tool and seek external expertise for final approval and legal considerations.

Mybusinessmarketingcoach

Build Marketing That Performs

Mybusinessmarketingcoach helps Melbourne business owners with marketing, SEO, website design and business coaching.

Explore marketing support

Prompt categories every marketer should try
Ten ready-to-use prompt templates for marketers
How to iterate, test and embed prompts into your workflow
The prompt structure behind every template here
Privacy and compliance when using ChatGPT for marketing
How we think about prompts at MYBMC
Where MYBMC fits if you’d rather not build this yourself
Where to go for deeper prompt and compliance guidance
Sources
FAQ

Prompt categories every marketer should try

Not every prompt suits every job. Matching the category to the task saves you time and stops you from over-engineering a simple request. Here’s where each type fits into a typical marketing calendar.

Campaign planning prompts help you build a timeline, choose a channel mix and settle on creative pillars before a single asset gets made. Feed ChatGPT your goal, budget range and launch date, and it will draft a working structure you can pressure-test with your team.

Content creation prompts cover SEO outlines, blog drafts and editorial briefs. These work best when you give ChatGPT a target keyword, audience and word count, then treat the output as a first draft rather than a finished piece.

Paid media prompts generate ad variants, landing page copy and audience-specific messaging. They’re useful for testing multiple angles quickly, though every claim in the output still needs a human check against your actual offer. If you run Google Ads, our guide on AI-assisted Google Ads covers where automation helps and where it doesn’t.

Social media prompts turn one piece of long-form content into a week of posts, captions and repurposed clips. This is one of the highest-leverage uses of ChatGPT because a single blog can feed five or six platform-specific posts in minutes.

Analytics and reporting prompts turn a spreadsheet of numbers into an executive summary, a set of insight bullets, or a list of next-step recommendations. You still need to check every figure against the source data. ChatGPT is drafting the narrative, not verifying the maths.

Competitor and content-gap analysis prompts ask ChatGPT to compare your published content against a competitor’s and flag missing angles or topic clusters you haven’t covered. This works well as a starting point for an editorial calendar, not as a final content strategy.

Customer-journey mapping prompts draft stage-based messaging and likely objections for awareness, consideration and decision stages. They’re handy for briefing writers who need a quick orientation before drafting nurture emails or landing pages.

Workflow and SOP prompts turn a messy process into a clean checklist: campaign handoffs, brief templates and step-by-step guides your team can follow without you repeating instructions every time.

Creative ideation and A/B testing prompts generate hypotheses and test matrices, useful when you’ve run out of obvious angles for a headline or offer and need a longer list to choose from.

Meta-prompting is the category most marketers skip and shouldn’t. These are prompts that improve other prompts, asking ChatGPT to shorten, localise or sharpen a prompt you’ve already written. OpenAI’s own ChatGPT prompt guide recommends this kind of iterative refinement rather than expecting a perfect result on the first try.

Here’s the quick reference for where to start:

Campaign planning: use it to draft timelines, channel mix and creative pillars before briefing your team.
Content creation: use it for SEO outlines and first-draft blog copy, then edit for accuracy and voice.
Paid media: use it to generate ad variants and landing copy angles, then verify claims against your offer.
Social media: use it to repurpose one long-form piece into a week of platform-specific posts.
Analytics and reporting: use it to turn raw numbers into an executive summary, checking every figure yourself.
Competitor analysis: use it to spot content gaps and topic clusters worth targeting next.

Ten ready-to-use prompt templates for marketers

Each template below states its purpose, the inputs you need to supply, the prompt text itself and a quick way to check the output before you use it. Replace anything in square brackets with your own details.

Campaign brief generator. Purpose: draft a one-page campaign brief. Inputs: goal, budget range, launch date, target audience. Prompt: “Draft a one-page campaign brief for [campaign name], targeting [audience], with a budget of [range] and launch date of [date]. Include objective, key message, channel mix and success metrics.” Check: does every metric match something you can actually track?
Blog outline with SEO headings. Purpose: structure a blog post around a target keyword. Inputs: keyword, audience, word count. Prompt: “Create a blog outline for the keyword ‘[keyword]’, written for [audience], targeting [word count] words. Include H2 and H3 headings and one key point per section.” Check: does the structure match how your audience actually searches?
Five ad variations. Purpose: generate paid media copy options. Inputs: product, offer, audience, platform, character limit. Prompt: “Write five ad variations for [product] promoting [offer], targeting [audience] on [platform], within [character limit] characters each. Vary the opening line and call to action across all five.” Check: does every claim match your actual offer terms?
Three-post social series. Purpose: repurpose long-form content into social posts. Inputs: source article, platform, tone. Prompt: “Turn this article into three [platform] posts, written in a [tone] tone. Each post should stand alone and include a call to action.” Check: does each post make sense without the reader having seen the others?
Analytics executive summary. Purpose: turn a results table into plain-language reporting. Inputs: raw figures, reporting period, audience (client or internal). Prompt: “Summarise these results for [audience] covering [period]. Highlight the two biggest changes, one risk and one recommended next step.” Check: does every number in the summary match your source data exactly?
Competitor content-gap report. Purpose: find topics you haven’t covered. Inputs: your published topics, competitor’s published topics, niche. Prompt: “Compare these two topic lists for the [niche] industry and list five topics the second list covers that the first doesn’t.” Check: is each gap genuinely relevant to your audience, not just present on a competitor’s site?
Customer journey map. Purpose: draft stage-based messaging. Inputs: product, audience, funnel stages. Prompt: “Map the customer journey for [product] targeting [audience] across awareness, consideration and decision stages. For each stage, list the key message and one likely objection.” Check: does the messaging match language your actual customers use?
Campaign handoff SOP. Purpose: standardise a repeatable process. Inputs: campaign type, team roles involved. Prompt: “Write a step-by-step handoff checklist for launching a [campaign type], covering the roles of [roles]. Format as a numbered list with one action per step.” Check: does every step have a clear owner?
A/B test idea generator. Purpose: build a test matrix. Inputs: page or asset, current metric, goal. Prompt: “Suggest five A/B test hypotheses for improving [metric] on [page or asset]. For each, state the hypothesis, the variable being tested and how you’d measure success.” Check: is each hypothesis testable with a single variable change?
Meta-prompt to refine a prompt. Purpose: sharpen a prompt you’ve already written. Inputs: your draft prompt, the problem with its output. Prompt: “Here is a prompt I’ve been using: [paste prompt]. The output keeps [problem]. Rewrite the prompt to fix this, and list any assumptions you made.” Check: does the rewritten prompt still ask for one clear deliverable?

How to iterate, test and embed prompts into your workflow

Treat every prompt as a draft of a process, not a one-off request. The loop that works is scope, run, verify, refine: define exactly what you want, run the prompt, check the output against your standards, then adjust the wording and try again.

Validation matters more than the prompt itself. Before anything goes live, check:

Facts and figures match your source data, not just what sounds plausible.
The tone and vocabulary match your brand voice, not a generic AI register.
The call to action is specific and matches your actual offer.
Nothing in the output raises a privacy or compliance flag.

Build a shared prompt library rather than letting good prompts live in someone’s private chat history. Name each prompt by task, assign an owner, and keep a short version history so your team can see what changed and why. OpenAI’s guidance on prompt engineering recommends exactly this kind of structured, reusable approach over ad-hoc requests.

A simple automation might look like this: generate a draft with a saved prompt, route it to a human editor for review, then schedule it once approved. Keep a human checkpoint at every stage where the output reaches a customer.

Pro Tip: Save your best-performing prompts word for word, not paraphrased. Small wording changes can shift the output more than you’d expect.

The prompt structure behind every template here

Every prompt above follows the same underlying shape, and it’s worth using yourself when you write new ones. OpenAI’s prompt guide recommends breaking a prompt into three parts: context, instructions and additional information, so the model knows what it’s working with before it starts generating.

Context: who the audience is, what the brand voice sounds like, and what’s already been tried.
Instructions: the single deliverable you want, its format and its length.
Additional information: constraints like word count, tone, platform or required keywords.

Stick to one deliverable per prompt. Asking for a blog outline and five ad variations in the same request usually produces a weaker version of both. Add a quality-check clause to the end of higher-stakes prompts, asking ChatGPT to list its assumptions or flag anything it’s uncertain about, which makes the output easier to audit before it goes near a client or a live campaign.

Privacy and compliance when using ChatGPT for marketing

Never paste personal or sensitive customer data into a public AI model. The OAIC’s guidance on commercially available AI products is clear that organisations should apply human oversight and privacy safeguards whenever they deploy AI tools, and that misuse of personal data in prompts can raise issues under the Privacy Act. Treat ChatGPT as a drafting tool, not a place to store or process customer records.

Label AI-assisted content where it matters and keep a record of which prompts produced which drafts, both to support the Department of Industry’s guidance on AI-generated content and to make your own review process easier to audit.

Every AI output your team publishes should carry a human sign-off, matching the OAIC’s recommendation for human oversight of AI-generated material.

Before you publish anything AI-assisted, run through this:

Check no personal or sensitive customer data appears anywhere in the prompt or output.
Confirm a human has verified every factual claim and figure.
Confirm the content is labelled appropriately if your policy requires disclosure.
Confirm the output matches your brand voice and approved messaging.
Log which prompt version produced the draft, for future audits.

How we think about prompts at MYBMC

We use ChatGPT prompts for exactly the tasks covered here: drafting campaign briefs before a client call, generating ad copy variants to test in Google Ads, and turning raw analytics into a plain-language summary before a reporting meeting. It saves drafting time so the team spends more of it on strategy and client conversations. The one habit we’d pass on to any team starting out: agree on your brand voice guardrails before you write a single prompt, not after the first draft comes back sounding wrong.

— MYBMC

Where MYBMC fits if you’d rather not build this yourself

Setting up a prompt library, checking outputs against brand voice and running paid media tests takes time most marketing teams don’t have spare. My Business Marketing Coach offers Google Ads management and broader marketing services that can take this off your plate, from ad copy testing through to reporting.

If you’d rather have a team handle the setup and the ongoing testing, book a discovery call through our marketing services page and we’ll talk through what fits your business.

Where to go for deeper prompt and compliance guidance

For readers who want to go further, these sources cover the technical and regulatory ground in more detail:

OAIC guidance: privacy rules for using commercial AI tools.
OpenAI’s prompt guide: practical templates and meta-prompting notes.
Marketing Mag on AI shopping: market implications of AI-driven recommendations.
Baby Love Growth on ChatGPT visibility: further reading on AI search optimisation.

This article is general information, not a substitute for advice from a qualified lawyer. Consult a qualified legal professional about your own circumstances before acting on anything here.

Sources

FAQ

What is the 3-3-3 rule for marketing?

Definitions of the 3-3-3 rule vary across marketing circles, and there’s no single authoritative version tied to ChatGPT prompting specifically. A common interpretation involves testing three messages across three channels for three days before deciding what to scale, but treat it as a loose framework rather than a fixed standard.

What are the top ChatGPT prompts for marketers?

The strongest prompts cover campaign briefs, blog outlines, ad variations, social series and analytics summaries, all scoped with a clear audience, format and word count. The ten templates in this guide cover each of these tasks and can be copied and adjusted directly.

What is a good prompt for ChatGPT to make a logo?

ChatGPT itself doesn’t generate finished logo files, though it can describe visual concepts or briefs for a designer to work from. For an actual logo, you’d typically pair a descriptive prompt with an image-generation tool or brief a designer directly using ChatGPT’s concept output as a starting point.

What is ChatGPT’s marketing strategy?

ChatGPT is a widely used AI chatbot platform in Australia and a primary channel for AI-driven consumer recommendations and search commerce, so brands benefit from optimising content for AI visibility using structured data, clear FAQs and third-party credibility signals, an approach known as Generative Engine Optimisation.

Do I need to disclose AI-generated marketing content?

Disclosure requirements depend on your industry and the platform you’re publishing on, so check the specific rules that apply to your sector. As general practice, labelling AI-assisted content and keeping a record of which prompts produced it supports transparency and makes your own review process easier to defend.