AI Central's ten ChatGPT prompts for strategic go-to-market run the whole build in dependency order, from strategy blueprint and buyer personas through positioning, competitive intelligence, pricing, channels, demand generation, sales, launch and metrics. All ten share one scaffold: your real situation stated up front, a task body that names every section the answer must contain, and an explicit output instruction at the end. The scaffold is the technique. The ten topics are just where you point it.
Reviewed August 2026.
What the ten prompts actually produce
This is a sequence, not a grab bag. AI Central ordered the set so that each answer becomes usable input for the next one, which is how a go-to-market plan gets built in practice and almost never how prompt lists are written.
- A GTM strategy blueprint covering positioning, ideal customer profile, market sizing, distribution channels, pricing model, launch roadmap and key KPIs.
- Customer segmentation and persona creation, three to five personas built to guide messaging and targeting.
- A positioning and messaging matrix set against a named list of competitors.
- A competitive intelligence deep dive across product features, pricing, distribution, customer experience and marketing.
- Pricing and packaging strategy, with a justified recommendation on which model fits the market.
- Channel and distribution strategy, comparing direct sales, partnerships, marketplaces, affiliates, paid ads, social, SEO and events.
- A demand generation playbook split across inbound and outbound tactics and mapped to funnel stages.
- A sales strategy and playbook covering qualification, lead scoring, funnel stages, objection handling and closing techniques.
- Launch strategy and timeline, broken into pre-launch, launch and post-launch.
- A metrics and reporting framework defining KPIs and the structure of the dashboard that tracks them.
The scaffold every one of them shares
Read the ten side by side and the interesting thing is not the topics. It is that every single prompt opens with the same sentence, a slot you are expected to fill before you ask for anything.
I'm [mention the problem you're facing in detail with background context].
That bracket does more work than the rest of the prompt around it. A model asked to build a pricing strategy with no context returns a competent, generic answer about tiers and freemium. The same model, told you are a two person team selling into agencies that already pay for three competing products, returns something you can argue with. AI Central puts the slot first, ahead of the instruction, and that ordering is deliberate. Context supplied after the task tends to get treated as an afterthought.
Every one of the ten closes the same way as well.
I want you to [mention how you want the output in detail with examples].
Front slot for input, back slot for output, task in the middle. Those two slices are exactly the parts most people delete when they copy a prompt, because they look like placeholder noise. They are the only two parts that make the answer yours.
Naming the artefact, not just the topic
The second technique running through AI Central's set is that the prompts rarely ask for information alone. They specify the shape the answer has to arrive in. The blueprint prompt asks for a strategic document with bullet points and sub-sections for clarity. The positioning prompt asks for a structured table format for easy comparison. The launch prompt is the sharpest example of all.
Present the plan as a phased Gantt-style timeline with key milestones.
Asking for a Gantt-style timeline rather than a launch plan changes what the model has to commit to. A timeline forces sequence, dependencies and dates. A plan lets it hedge in paragraphs. Same underlying request, considerably more work extracted, and the difference costs you one sentence.
Why the running order matters more than any single prompt
Take AI Central's sequence and the logic is a dependency chain. The blueprint sets the frame. Personas define who you are talking to, which is what the positioning matrix needs before it can produce messaging tailored to different segments. Competitive intelligence then sharpens the differentiators the matrix asserted. Pricing arrives with both a buyer and a benchmark to sit against. Channel strategy needs the preferred communication channels that the persona prompt explicitly asked for.
Demand generation and sales come next because they are execution, and they inherit every decision made above them. Launch is the calendar. Metrics sits last for a reason. You cannot define KPIs across acquisition, activation, retention, revenue and referral until you know what you sell, to whom, through which channel, at what price.
Run them out of order and you get ten disconnected documents. Run them in order, inside one conversation, pasting each answer forward as context, and you get one plan.
Where this breaks
Two honest limits, and a third that is entirely your fault. None of them is a reason to skip the set.
- The market sizing ask in the first prompt wants total, serviceable and obtainable market. A language model has neither your funnel data nor your addressable list, so what comes back is a method and a plausible structure, not a number belonging in a board deck. Treat it as the shape you fill with real research.
- The competitive intelligence prompt is only as good as what the model can actually see of your competitors right now. Paste in their pricing page and their positioning copy yourself rather than trusting recall.
- Every bracket you leave lazy costs you specificity. Ten prompts filled with vague context produce ten generic documents faster than you could have written one bad document by hand.
How to run the whole set in one sitting
The practical version, and this is the part worth doing rather than reading.
- Write your context paragraph once, properly. Product, audience, stage, constraint, and what has already failed. Reuse it verbatim in the front slot of all ten.
- Decide your output instruction once too. Length, structure, level of detail, whether you want worked examples, and who is going to read the result.
- Run the ten in their published order inside a single conversation, so each answer stays in context for the next.
- After the competitive intelligence pass, go back and revise the positioning matrix. It is the output most likely to change once real competitor detail is in front of you.
- Stop and edit before the sales playbook. Anything wrong upstream gets baked into outreach templates that people will actually send.
AI Central is blunt about what a prompt set is and is not.
Prompts are a good resource.
That is the right level of claim. The prompts are scaffolding. The strategy is still yours to argue for, defend and fund. What the ten remove is the blank page at every stage of a go-to-market build, which is not nothing when the alternative is writing a positioning statement at midnight with no framework at all.
Do I have to use all ten prompts?
No, though the value compounds if you do. If you only run three, run the blueprint, the personas and the positioning matrix. Those three decide what everything downstream says. Pricing, channels and demand generation can be revisited cheaply. Positioning that is wrong poisons every asset built on top of it.
What do I actually write in the brackets?
The most detail you can stand. The front bracket wants your situation with background, not a job title: what you sell, who has bought it so far, where the bottleneck is, and what you have already tried. The closing bracket wants format: how long, how structured, with or without examples, and who the reader is.
Will ChatGPT give me real market sizing numbers?
It will give you a market sizing framework and estimates you should treat as unverified. Use the structure, source the numbers yourself. Anything you would defend in a fundraise needs a citation you can point at.
Can I use these for a single feature launch instead of a whole company?
Yes. Every prompt takes a product or service name as a variable, so a feature, a new pricing tier or a market entry all fit. The launch and metrics prompts in particular work at any scope. Narrow the audience bracket and the answers narrow with it.
Which prompt should a team already selling start with?
The competitive intelligence deep dive, then the positioning and messaging matrix. Teams with revenue usually have a positioning problem rather than a strategy problem, and those two attack it directly. Go back to the blueprint only if the answers reveal you have been chasing the wrong buyer.