How to ship an A+ Campaign in 1 hour using ChatGPT 5 with Jordan Crawford @Blueprint

saas.unbound is a podcast for and about founders who are working on scaling inspiring products that people love, brought to you by https://saas.group/, a serial acquirer of B2B SaaS companies.

In episode #38 of season 5, Anna Nadeina talks with Jordan Crawford, founder of Blueprint, modern GTM playbooks for early-stage startups.

In a recent conversation with Jordan Crawford, founder of Blueprint, we walked through a rapid, repeatable way to use AI to research, design, and ship high-impact GTM campaigns in about an hour. Jordan’s approach starts with value and works backward into tools — not the other way around — and leans on two simple messaging frameworks that make cold outreach feel helpful instead of noisy.

Why this matters: AI as a shipping engine, not a magic wand

AI’s biggest advantage isn’t necessarily writing a perfect subject line. It’s the ability to take a good idea, test it quickly, and ship it at scale. Jordan summed it up well: crafting a single, near-perfect message for a specific customer and then reverse-engineering the systems to deliver that message repeatedly is where the real leverage lives.

“Process over prompts.”

If you adopt that mindset, AI becomes a rapid prototyping and execution engine for GTM plays instead of just a copywriter that sometimes hallucinates.

Two messaging frameworks that change cold outreach

PQS — Pain Qualified Segment

PQS focuses on identifying people who are currently in the exact situation that makes your product relevant. The messaging doesn’t attempt to fake personalization; it simply describes a specific problem so well that the recipient recognizes it and wants a solution.

• Start with: Why customers bought previously. What triggered their purchase?
• Find a public signal that maps to that situation (e.g., DNS records, unpatched vulnerabilities, public job posts, competitor footprints).
• Send a short message that explains: “We found you in this situation — does this resonate?”

Example idea from the session: identify customers who are switching from a legacy competitor that’s been repeatedly vulnerable. Describe the pain (maintenance by a single dev, security incidents) and ask if they’re feeling trapped — then offer your solution.

PVP — Permissionless Value Prop

PVP is arguably more radical: give the recipient real, independently useful output before asking for anything. The goal is to create a message a prospect would happily pay to receive.

• Ingest public data related to a prospect’s work.
• Generate a short, usable product output tailored to them — no sign-up required.
• Use this gift to open a conversation or accelerate adoption.

Jordan gave a strong example: programmatically parse public construction bid documents and deliver a short list of the exact items (union labor, special materials, spec clauses) a bricklayer should watch for. This isn’t “marketing fluff” — it’s tactical, timely, and useful.

“I’m actually giving you the benefits of the product because I have identified you in the wild as needing the benefits.”

Using Rewardful as a concrete example

Rewardful is an affiliate-management product beloved by bootstrap and growing B2B companies. Jordan used Rewardful to show how PQS and PVP plays translate into real outreach campaigns:

• Find companies that don’t appear to have an affiliate program but have plenty of organic advocates (blog posts, social mentions, content creators linking to them).
• Build a permissionless asset: list the creators already talking about the product and show the potential upside of formalizing payments.
• Or launch a PQS play: target companies whose competitors already run affiliate programs and show what they’re missing in revenue and reach.

That second play becomes especially powerful when you identify poachable affiliates — creators with large followings who are already promoting the competitor but not monetizing fully.

Data sources and signals worth mining

To make PQS and PVP plays concrete, Jordan recommends combining first-party knowledge with public signals. Useful sources include:

• DNS & hosting records (to identify tool usage)
• Stripe / Paddle app listings (who’s selling subscriptions)
• Product Hunt launches
• Content signals — blog posts, tweet mentions, YouTube videos
• Marketplace & review sites (with caveats — G2 traffic may be unreliable)
• Absumo / lifetime deal platforms (companies experimenting with distribution)

When you can map why customers bought → the public signals indicating that situation → a message that speaks to that pain or gives permissionless value, you’ve reduced the gamble in outreach.

Meta-prompting: getting AI to be an analyst

Jordan calls a meta-prompt the practice of asking the model to write the research prompt you’ll use to find prospects. This amplifies the model’s ability to identify signals, score opportunities, and produce the exact data you need to compose messages.

Key elements for a strong meta-prompt:

• Define the role (e.g., “You are a ruthless GTM research analyst.”)
• Specify outputs and formats (e.g., ranked list with evidence, quote snippets, URLs)
• Request scoring criteria (PQS score, advocacy density, poachability)
• Ask for message drafts (subject line + first lines customized per prospect)

Example meta-task Jordan uses: “Find subscription products with organic referrals but weak affiliate infrastructure. Compile competitor affiliate intelligence and short poachable affiliates. Produce lightweight outreach messages with URLs and evidence.”

From one-off play to a pipeline

The approach scales once you automate the discrete steps:

1. Prospect discovery: identify companies meeting ICP via public signals.
2. Signal enrichment: detect competitor usage, organic mentions, and potential affiliates.
3. Scoring & prioritization: rank by PQS/PVP scores and poachability.
4. Message generation: draft permissionless value props and PQS messages.
5. Execution: launch sequences in your CRM or with tools like Clay, Cloud Code, or automated agents.

Jordan: build “agents” that do the front-loaded work — find top creators, scrape codes, gather follower counts, and even assemble initial outreach lists so your message arrives pre-loaded with value.

Practical one-hour campaign checklist

1. Pick a target brand and confirm the ICP (revenue range, team size, industry).
2. Choose PQS or PVP play.
3. Run a targeted meta-prompt to collect 5–10 prospects with evidence links.
4. Draft short messages: subject line + 1–2 opening lines that deliver value.
5. Validate messages with a quick peer review or internal expert.
6. Load prospects and messages into your outbound tool and send the first tranche.
7. Measure replies and iterate the playbook (refine signals, tweak templates).

Advice for teams at different stages

Pre-product/market fit

“Eat your vegetables.” Spend time doing deep research prompts. You don’t know which signals matter, so ask AI to explore adjacent industries, find low-tech niches that would benefit from your product, and give you real company targets to talk to. The goal is to learn how your prospects talk about their problems.

Post-product/market fit

Now you can be surgical. Identify the exact customer situations that led to past purchases and map those to public signals. Build permissionless assets that solve or preview the value for prospects, and then scale via agents and pipelines. Your outreach should feel like a gift, not a sales pitch.

Some practical cautions

• AI may hallucinate — always validate key claims with a human or a URL.
• Web data changes; keep your signals and scoring rules under version control.
• Don’t substitute empathy with cleverness: the play works because it shows you understand the prospect’s world.

Parting thought

Stop asking ChatGPT for one perfect subject line and start asking it to be a research and execution partner. Give prospects something real — describe their situation precisely (PQS) or give them value before they sign up (PVP). Then automate the plumbing so that the messages that matter get sent reliably.

“If you care about growth, show up with a message that isn’t ‘I want your money.’ Show up with the work done.”

Special thanks to Jordan Crawford (Blueprint) and saas.group for the framework and examples that inspired this approach. Use the checklists and frameworks above to build your own A+ campaign — start small, validate quickly, and scale the plays that actually move the needle.