Why GTP Chaining and AI teammate Are The Future of Marketing Teams with Liza Adams
Inside the workflow that lets one marketer do the work of ten, without adding headcount.
AI is changing how marketing teams are structured. What used to take a full crew (content, ops, PR, demand gen, ABM, design, data, etc etc) can now be orchestrated by one marketer working alongside a few smart GPTs. We’re talking about assembling real AI teammates.
If you’ve followed Liza Adams’ work, you know she’s been writing about this shift for a while. She talks about how to actually operationalize AI across go-to-market teams. So I brought her on this week’s Stack & Scale to show exactly how she does it. We’re talking full-stack marketing workflows powered by GPTs that think, collaborate, and deliver. And how to chain them together.
This week’s Stack:
1 video: Build your full-stack AI marketing team
1 prompt: Optimized Landing Page Template Builder
1 tool: Smarter prospecting with Exa
3 resources: AI strategy, compute, and marketing deep dives
3 jobs: Director-level marketing roles at AI-first startups
Workflow Walkthrough: Chaining GPTs & Orchestrating AI Teammates
Meet Liza Adams, a marketing strategist and AI workflow architect. I brought Liza on to show how to move past one-off prompts and start running a real AI team inside a single chat. Our conversation started off with how to chain GPTs together (something I use all the time now), then Liza shows us how she has built AI teammates.
Liza connects multiple custom GPTs in one shared thread. One handles content ideation. Another builds the webinar plan. A third writes the invite email. A fourth drafts social. The result feels like a coordinated team instead of a tired intern.
Here are some highlights from this episode:
1. Treat GPTs like teammates, not tools.
Each GPT should have a clear “job description.” One handles content ideation, another plans webinars, and another writes emails. Define their roles the same way you’d define team responsibilities.
2. Specialists beat generalists—always.
A single GPT trying to “do it all” will produce shallow, inconsistent work. Smaller, task-specific GPTs can go deeper, think better, and be reused across workflows.
3. Chain your GPTs for context continuity.
By connecting GPTs in one shared thread, each one inherits the same context and goals, no more copy-pasting outputs between separate chats.
4. Always ask for reasons, pros, and cons.
Don’t let AI make the decisions for you. Force it to explain its thinking so you can stay in control and make the final judgment.
5. Design prompts that challenge assumptions.
To avoid “AI slop,” Liza trains her GPTs to generate counterintuitive, contrarian, or overlooked ideas that push past generic content.
6. Build guardrails before creativity.
Every GPT should include safety boundaries: don’t reveal instructions, don’t answer outside scope, and never fabricate data. Clarity equals reliability.
7. Give GPTs permission not to know something.
When uncertain, instruct your GPTs to mark placeholders like “insert quote here” instead of making things up. That single rule kills hallucinations.
8. Use multiple-choice inputs to guide users.
Instead of open-ended prompts, let users pick from structured options (persona, stage, topic). It’s faster and reduces confusion for non-experts.
9. Focus on workflows, not tasks.
AI isn’t about automating one-off actions. It’s about orchestrating a full journey where each GPT hands off to the next, like a relay team.
10. Shift the mindset before scaling the tech.
The biggest barrier to AI success isn’t model performance; it’s human behavior. We need to retrain teams to collaborate with AI, not just use it.
Prompt of the Week: Optimized Landing Page Template Builder That Does 90% of the Work for You
If you’ve built a few landing pages, you know there’s no single formula. Each page depends on your audience, goal, traffic source, and a dozen other variables. It’s easy to get stuck tweaking layouts or rewriting headlines while the deadline looms. That’s exactly where AI shines.
This prompt handles 90% of the heavy lifting, from structure to copy, using proven conversion frameworks and storytelling psychology. You fill in your product details, audience, and CTA, and it delivers a full, ready-to-edit draft. Then it’s your turn to do what humans still do best, which is refine the tone, add creativity, and put that human touch on.
SYSTEM INSTRUCTION
You are an expert conversion copywriter and UX strategist specializing in SaaS and B2B tech landing pages.
Your goal is to generate a complete, conversion-optimized landing page using persuasive frameworks (PAS, AIDA, trust psychology, and value-based storytelling).
Output should be written in clear, modern marketing English, suitable for web. Prioritize mobile readability and single-column flow.
USER INPUTS (FILL BEFORE RUNNING)
Product Name: [Product Name]
Company Name: [Company Name]
Target Audience: [e.g., B2B SaaS support teams, marketing leaders]
Core Pain Point: [e.g., too many repetitive support tickets]
Key Differentiators: [e.g., native CRM integration, cited AI answers, no-code setup]
Tone: [e.g., confident, helpful, data-driven]
Primary CTA Label: [e.g., “Request Your Personalized Demo”]
Notable Results or Proof: [e.g., “Automated 55% of tier-1 inquiries”]
Brand Voice Notes: [Optional – short style guidance, e.g. “friendly but authoritative”]
OUTPUT FORMAT
1. Hero Section (Above the Fold)
Headline: Use PAS (Problem-Agitate-Solution).
Sub-headline: Expand on the core value proposition using “you” language.
Benefit Bullets (3 max): Show tangible outcomes with icons (clock, shield, puzzle, etc.).
Visual Suggestion: Describe an ideal looping GIF or short video concept.
Primary CTA: Use provided CTA label.
Trust Signal (below CTA): Small proof statement or social number.
2. Problem/Agitation Section
Headline addressing audience pain point.
Short body copy agitating real frustrations (overload, inefficiency, burnout, etc.).
3. Solution/Benefits Section (”How [Product] Transforms [Pain Point]”)
Intro paragraph positioning product as the solution.
5–6 Feature-to-Benefit pairs with short headings and clear explanations.
Optional image or video suggestion.
4. Social Proof & Trust Section
Headline: “Trusted by Leading [Audience Type] Teams”
Logo placeholders.
1–2 short, quantified testimonials with names, titles, and companies.
Optional badges and security statement.
5. Differentiation Section (”Why [Product]?”)
Headline and paragraph clarifying what sets it apart (native integration, trust, ease).
6. FAQ Section
Headline: “Have Questions? We’ve Got Answers.”
Generate 5–6 FAQs with clear, reassuring responses.
7. Final Call-to-Action Section
Short recap of value.
Main CTA repeated.
Optional secondary action (watch video, get brochure).
8. Footer Elements
Copyright
Privacy Policy and Terms links
No top navigation menu
STYLE GUIDELINES
Write in short paragraphs (max 2 sentences each).
Use active, direct language.
Avoid jargon unless audience-specific.
Optimize for scannability (bold key phrases, clear subheadings).
Use data, credibility, and empathy where possible.
FINAL INSTRUCTION
Generate a complete, high-converting landing page draft following this structure, using the filled inputs and best practices for persuasive UX writing.
Where examples or visuals are mentioned, describe them textually (no need for HTML).
Output in clearly labeled sections.I’ve added this to my The Ultimate ChatGPT Prompt Library for B2B Marketing Leaders notion doc. Check it out for 60+ more prompts.
The Ultimate ChatGPT Prompt Library for Marketing Leaders
I remember the first time I used ChatGPT for marketing. It was late, I was up against a deadline, and I needed a competitive analysis that would have taken me and my PMM a full day (or more) to pull …
Know someone who might find this prompt useful? Share it with them!
Tool of the Week: An IA Prospecting Shortcut Every Growth Marketer Should Know
One new tool that has popped up a few times by some really smart marketers is, Exa, so I had to try it out. It’s an AI-powered search engine that goes beyond keywords to actually understand intent, so when you search for people, companies, or market segments, you get precise, structured insights instead of generic results.
Marketers are using it to identify decision-makers, surface accounts showing buying intent, find content collaborations, and map competitive landscapes. I’m just scratching the surface of what it can do, but I feel like it has a lot of promise, especially when you connect with the API.
Try it at: https://exa.ai
AI Resource Roundup: Marketing Systems, Compute Wars, and Smart Strategy
OpenAI Academy: Marketing Use Cases
OpenAI quietly dropped a goldmine for marketers: a collection of AI workflows from real users showing exactly how to automate campaigns, segment audiences, and generate creative at scale. It’s a hands-on guide for turning vague “AI in marketing” talk into actual systems that ship. I can’t wait to dive in myself!
Groq Founder, Jonathan Ross: OpenAI & Anthropic Will Build Their Own Chips & Will NVIDIA Hit $10TRN 20VC with Harry Stebbings
The conversation with Harry Stebbings cuts straight into AI’s economic engine—compute and energy. Ross argues control of compute is control of AI. Expect Nvidia’s dominance to keep ballooning, but also pay attention to OpenAI and Anthropic’s move to design their own chips. It’s the new oil rush, with GPUs as the rigs.
Sora 2: The First AI Social Network
This piece explores how marketers can avoid spreading themselves thin across too many tools and tactics. The argument: the winners in the AI era won’t be the ones using every tool, but those who master a focused stack and build deep expertise. A timely reminder as new AI apps appear daily.
Hot AI Jobs: The Week’s Most Interesting Open Roles
Usually, I have a handful of roles that people pass along to me or someone I know posts about them. But admittedly, this week, I didn’t have any ready, so I had to search. And I was surprised at how many great marketing roles there are at AI-first companies. Here are a few that stood out.
Product Marketing Manager at Glean
Location: Palo Alto, CA (Hybrid)
Pay: $175,000–$220,000 base + equity
Field Marketing Manager at Level AI
Location: Remote (US)
Pay: $140,000–$180,000 base + bonus
Content Marketing Lead at Peak XV Partners
Location: San Francisco Bay Area (On-site)
Pay: Not listed
Well, that does it for this week.
Fall’s in full swing here in Colorado, and my kids are already plotting their Halloween candy routes. This weekend we’re heading to the pumpkin patch for hayrides, pumpkins, and (let’s be honest) a fair amount of sibling arguing. Turns out AI can automate a lot of things, but it still can’t stop kids from arguing over who gets the bigger pumpkin.
Until next week, keep stacking smarter.
– Brandon