Practical AI in Go-to-Market Get practical insights in using AI for go-to-market strategy, initiatives, workflows, and roles.
Hello go-to-market leaders, strategists, and innovators! 👋 Thank you for dropping by to learn practical AI applications and gain strategic insights that help you grow your business, elevate your team’s strategic value and now, bring your best ideas to life.
Quick Take
Most teams still ask AI to help them write faster or summarize better. The best teams use AI to turn ideas they’ve been sitting on into working solutions — fast, interactive, and real.
The AI skills you’ve developed for building AI teammates are now also turning marketing concepts into working solutions. Here are some key takeaways:
While competitors describe competitive analysis, you build interactive comparisons where stakeholders can filter and gain real-time insights
Instead of explaining ROI calculations in presentations, you create working calculators that generate personalized projections
Rather than outlining buyer journeys in documents, you prototype actual interactive experiences that qualify and educate prospects
The same strategic prompting skills used for AI teammates also help you build AI-powered apps with AI platforms (e.g., ChatGPT, Claude, and Gemini) you already have
These AI-powered apps serve both internal and external uses
Prefer to Listen? Try the AI-Generated Podcast
For those who prefer to consume information through audio, I’ve used Google’s NotebookLM to transform this newsletter into a short podcast episode, featuring a natural conversation between two AI hosts. You can listen to the 14-min podcast here while driving, walking the dog, or doing chores. Once you hit play, give it just a few seconds then it will start.
Why This Matters Now
A lot of AI talk still circles around speed. Faster content. Faster emails. Faster decks.
But speed isn’t the biggest gain. It’s finally having a way to get the ideas out of your head and into something others can explore. We all have brilliant concepts rattling around, but translating them into something others can understand and act on is hard.
AI democratizes software development. What used to require developers and weeks of back-and-forth now happens in one conversation. You can show your thinking instead of struggling to explain it.
We’re in a new go-to-market era where:
Buyers want to try, not just hear.
Execs need proof, not more pitch decks.
Teams move faster when they can align around something real.
Building with AI lets you skip the long explanation. You can show the thing. Test it. Iterate. Share it in the room, or let others explore it on their own time.
And the tools are ready but good enough to build something meaningful in an afternoon. That’s what this newsletter is about.
My Observations
I’m seeing a quiet shift.
Some teams still present slides packed with bullets and static comparisons. Others show up with interactive dashboards that let stakeholders filter by company size, explore use cases, and see real-time insights.
It’s the same research but one buries the findings and the other brings them to life.
From Concepts to Clickable Reality
You might have heard the new AI term: vibe coding.
It’s the ability to build software by describing what you want in plain language. No code and no waiting. Just an idea that becomes a working tool.
This lets go-to-market teams quickly launch things like quizzes, assessments, demos, or lead forms, without relying on other teams to get started.
The idea took off thanks to Andrej Karpathy, founding member of OpenAI and former Director of AI at Tesla, who called it a way to “just go with the flow.” You let the AI handle the technical work so you can focus on your ideas and keep moving forward.
You can start with AI platforms like ChatGPT, Claude, or Gemini. Or you can try specialized no-code builders like Lovable, Replit, or Bolt.
For most GTM professionals, the AI platforms are all you need. They handle interactive tools, calculators, assessments, and lead qualification well.
Specialized tools offer extras like drag-and-drop editors, automation, and connections to other business systems. But those features are typically needed by GTM ops teams working on complex integrations – where IT and legal usually get involved anyway.
You don’t need to find the perfect tool. Use what you already have. Focus on being clear about what you want to build. Let the AI do the heavy lifting.
You don’t need to become a developer. You just need to know how to describe what you want clearly. AI handles the rest.
What to Expect on Your First Build:
Plan for 2-3 iterations to get your vision right – AI rarely nails it on the first try
Start with simple functionality, then add complexity
Expect some back-and-forth as you refine your requirements
Your second and third projects will go much faster as you get the hang of it
Isar Meitis, CEO of Multiplai.ai and Host of Leveraging AI Podcast, puts it well:
“The #1 problem I hear from professionals isn’t that AI doesn’t work. It’s that they’re paralyzed by choice.
In our recent Ultimate AI Showdown podcast, Liza showed how to build apps with AI platforms like ChatGPT and Claude, while Marwan Kashef, MMAI showed what’s possible with specialized tools like Bolt, Lovable, and Replit.
It’s clear that you don’t need to solve the ‘perfect tool’ puzzle before you start. Begin with the AI platforms you likely already use. Learn the fundamentals of turning ideas into working solutions. Then, if you need more sophisticated features, you’ll know exactly what to look for in specialized platforms.”
Check out The Ultimate AI Showdown recording here.
Three Ideas That Became Reality
To inspire what’s possible, here are three project management challenges that transformed from concepts into working solutions.
Each one took roughly 30-90 minutes to build, depending on complexity (that includes research time). Pulling insights from a blog post to create an interactive FAQ might take 30 minutes or less, while sophisticated calculators can take 60-90 minutes. Your first few builds will likely be on the longer end as you learn the flow.
1. Dynamic Competitive Infographic
I used Gemini’s Deep Research to analyze Asana, Monday.com, and Smartsheet across vendor websites, analyst reports, customer reviews, and industry publications.
Note my Deep Research prompt and the research output from Gemini below. Here’s the full output.
Notice on the top-right corner that you can select what type of app or experience you want to create.
After the research, I selected “web page” as the output format. Gemini turned the report into an interactive infographic. You can now look at detailed profiles, compare ratings by metric, and see which solution fits different scenarios.
This is a new feature in Gemini. Currently, the interactive output isn’t shareable externally. Only the creator can access it. I expect that to change soon as other models already allow sharing.
Watch the process and see the infographic in action in this demo video.
What took weeks of manual research and design now happens in one conversation. The result transforms information into an experience that helps stakeholders make informed decisions.
2. Business Impact Calculator
I used Claude to research project management metrics and business value benchmarks, then had it build a working calculator. Claude’s research feature is still in beta, but it’s strong at building functional interfaces.
Users enter their company details and see projected productivity gains, cost savings, and payback periods based on industry data.
Below are my research prompts and here’s Claude’s output. Notice that Claude asked clarifying questions prior to doing the research. You’ll also see my responses.
I then asked Claude to create a simple interactive calculator using the benchmark data.
Try the interactive business impact calculator. I also walk through the full build process, how to use it, and how to remix it in this demo video.
3. Choose-Your-Own Adventure Web Experience
I used ChatGPT to research mid-market buying behaviors and best practices for web engagement. It handled the complexity well, pulling insights from multiple perspectives.
Here’s ChatGPT’s Deep Research output based on the prompt below. Similar to Claude in the previous use case, ChatGPT asked a few questions before starting the research.
Based on the research, I built a choose-your-own-adventure experience with AI. Visitors select their role and challenges, then follow personalized paths to relevant demos.
I created two versions to compare AI platform (ChatGPT vs Claude) strengths.
ChatGPT Version:
ChatGPT handled the research and built the web experience. It did a great job with the research.
However, rendering an interactive web experience is new for ChatGPT. So it’s not as good as Claude yet but the outputs are usable and shareable.
Try the ChatGPT choose-your-own-adventure web experience here.
Claude Version:
I used the same research from ChatGPT but built the experience with Claude. The design and interactivity are stronger, and the app is easier to share.
Try the Claude choose-your-own-adventure web experience here.
Both turn static buyer research into a dynamic experience that qualifies prospects and educates along the way.
If you’re interested, here are the ChatGPT demo and Claude demo videos.
More Ideas Made Real
These three are just the beginning. Here are more working solutions that I built with Claude in the same way:
AI Working Style Assessment – Understand how you work with AI today and get personalized strategies to improve.
Brand Impact ROI Calculator – Quantify the value of brand investment with industry-backed data.
Interactive Sales Workflows Simulator– Models lead qualification, sales discovery & call prep, objection handling, proposal generation, and deal velocity analysis.
Interactive Starter Kits – Get ideas for custom GPTs by marketing function.
AI Jargon Translator – Test how well you understand AI jargon.
Mindful Moments – Take a refreshing break to reset and recharge during your day with this app.
Interactive Games – Pictionary, Battleship, Blackjack, and more. Built to help my kids learn AI. Still surprisingly useful for work for onboarding and offsite ice breakers.
Emoji Jeopardy – Holiday game where teams decode clues like 😱🏠1️⃣📌🦶. (What is Home Alone?)
Each one started as a simple idea, described clearly and built quickly.
Internal and External Impact
The competitive analysis becomes both a team alignment tool and a customer-facing resource. The ROI calculator supports internal planning and external sales conversations. The interactive journey helps product teams make better decisions and helps prospects self-qualify.
Some of these tools are final. Others are just version one. But all of them make your thinking tangible. They help others react, improve, and buy in.
The Skills That Transfer
The same prompting skills you’ve used to build AI teammates also apply here.
Clear context, specific requirements, and step-by-step refinement create functional apps/tools instead of conversations.
The shift is simple. Instead of asking, “Help me think through this,” you ask, “Help me build something others can use.”
Jessica Lanier, Vice President Marketing & Communications at Cox Automotive Inc., experienced this shift firsthand:
“Liza really got our strategic brains buzzing on how AI can revolutionize our marketing efforts. We moved well beyond tactical thinking into deep, strategic use cases that could be game changers for our organization.
The team left inspired with new knowledge about what’s possible when you stop just explaining concepts and start building them.
We’re still pondering the learnings — we just couldn’t stop talking about the possibilities days after the workshop. We look forward to continuing our AI journey with Liza. The passion this team brings to everything they do makes me excited to see what they’ll create with all this new inspiration.”
Where Others See Limitations, You See Opportunities
While some teams wait for designers or developers, you’re already building. While others describe strategy, you create something people can use. While competitors talk about value, you build tools that prove it.
The competitive advantage comes from making ideas tangible instead of keeping them abstract.
Your Next Steps
Start Simple: Try this exact prompt and URL to see the transformation in action.
Use any of these AI platforms (paid versions recommended and I got the best results using these models):
Claude: Sonnet 4
ChatGPT: o4-Mini-High
Gemini: 2.5 Flash or 2.5 Pro
“Transform this article into an interactive ‘Pick Your Challenge, Get Your Solution’ tool. Ask users to select their main problem, then show them which solution from the article helps solve it, plus one action step to get started. Output the interactive app please. https://www.marketingprofs.com/articles/2023/50442/ai-use-cases-cmos“
See my results: Claude version and ChatGPT version. Compare the outputs and pick your preferred style. Gemini output apps are currently not shareable.
Once you see how it works, use your own blog post and adapt the prompt to fit your content. Each blog will need a slightly different approach depending on the topic and structure.
Congratulations, you’re officially a vibe coder! 🤪
Go Bigger: Pick one concept your team keeps talking about. Instead of explaining it again, build something interactive that brings it to life. Start with the AI platforms you already use. Keep it simple. Make it explorable.
What to Expect: Your first build might take 60-90 minutes as you learn the flow. Expect 2-3 iterations to get your vision right. Your second and third projects will go much faster.
The goal isn’t perfection. It’s progress. Getting from idea to first version. From abstract to actionable.
Your ideas don’t belong in just your head, slides, or long meetings. AI gives you the tools to make them real now.
Share Your Success: Let us know what you plan to build or share what you’ve already built to inspire others!
The Practical AI in Go-to-Market newsletter is designed to share practical learnings and insights in using AI responsibly. Subscribe today and let’s learn together on this AI journey!
For those who prefer more interactive learning, explore our applied AI workshops, designed to inspire teams with real-life use cases tailored to specific go-to-market functions.
Also check out this team transformation case study and step-by playbook of how we helped transform a lean GTM team into a human-AI powerhouse with human and AI teammates.
Or, if audio-visual content is your style, here are virtual and in-person speaking events where I’ve covered a variety of AI topics. I’ve also keynoted at many organization and corporate-wide events. Whether through the newsletter, multimedia content, or in-person events, I hope to connect with you soon.