“Moving Fast” is killing your GTM

I’ve been working with more GTM teams again, and I’m seeing consistent self-sabotage that kills their messaging from the start. They’re “moving fast” and skipping basic research and positioning strategy. This guarantees mediocre results.

Here’s a common scenario. You want to build an outbound campaign targeting their “IT Buyer” ICP. You hand off an ICP profile with Name, Title and Company and a couple use cases to mention. 

Pretty standard, right? 

But when you start to build, the gaps start to show: 

  • What use cases are we prioritizing to this vertical?
  • How are we positioning to this specific company size and maturity profile?
  • What’s their current tech stack?
  • How are we positioning against the incumbent or other named competitors? 
  • Are they genuinely ready to buy, or just browsing?
  • Which channels will actually cut through the noise?

If you can’t answer these questions, you have major blank spaces in your go to market strategy.

These are the four strategy gaps kill your GTM strategy and performance:

  • Product Clarity: Most teams struggle with answering the fundamental question: “How does our solution solve X problem for Y person?” They can list a ton of features but can’t explain why any of it matters to the specific human who needs it most. And then they fumble explaining why their approach beats competitors.
  • Competitive Intelligence: Surface-level competitive knowledge is dangerous. They check the big brands box and skip the niche competitors that even a simple web search would uncover. That’s the “knows enough to be dangerous” zone. It’s false confidence and buyers smell that from a mile away. Deep competitive knowledge builds confidence that comes through in the content and conversations.
  • Contextual Content: Shallow ICPs limit your content and guarantee you get ignored. Rich behavioral and contextual signals transform your ICPs and make the rest of your messaging and content stand out. A robust ICP should tell you:
    • Core customer pain points
    • Specific use cases that resonate
    • Compelling reasons to choose you
    • Actual market readiness
    • Priority engagement channels
  • Behavioral ICPs: Most ICP builds stop at basic metrics: Geography. Revenue. Headcount. Title. This targeting is table stakes and commoditized. That’s not good enough. The real competitive advantage lives in behavioral signals that show true buying intent. Behavioral signals are the real GTM strategy gold that screams “ready to buy”:
    • Recent leadership hires
    • Active social engagement
    • Competitor product follows
    • Detailed product reviews
    • Engagement with industry content

This is what a high value actionable ICP looks like:

US IT Lead

  • VC-Backed, $100MM Revenue
  • Raised funding in last 90 days
  • Currently using specific competitor technologies
  • Showing hiring signals (job listings, social posts)
  • Active social engagement across LinkedIn, Reddit, industry forums
  • Following key industry competitors and thought leaders
  • Confirmed (4) contact pathways
  • Demonstrable site or social engagement in last 30-90 days

Paints a different picture, right?

The best part? This level of insight is available without slowing you down. 

With the right AI-assisted workflow you can get:

  • Deep Marketing and Competitor Research
  • Precise Market and ICP Data
  • Build Actionable Insights
  • Tailor your GTM Assets to the ICP + Use Case + Individual LevelWanting to “move fast” isn’t a valid excuse when anyone can do it right the first time now.

Which AI Platform has the best onboarding flow?

I spent 20+ hrs going through the onboarding experiences for a dozen major AI tools: Anthropic(Claude), Perplexity, OpenAI(ChatGPT), Replit, Lindy, Lovable, Manus AI, Cursor, GitHub, Genspark, Bolt and Base44/Wix.

Claude does a decent job, but there’s lots of room for improvement. The rest have a ton of work to do.

I put them all on a Miro board with notes and takeaways.

Review of AI Tools Onboarding Flows

Here’s the TLDR:


1. New Tools Need Instructions
These tools are whole new categories with frame of reference. They require whole new ways of working, using the technology and building.

You need to teach people HOW to use these tools so they get to value fast vs getting frustrated and dropping off or adopting poor practices/inputs and getting sub par outputs.

2. Define what “value” looks like for the user. And coach to that target.
Focusing on the user ensures that you’re coaching to value and minimizing TTV. Engagement and retention will come when users see value faster.

How do you do this?
– Educate IN the workflow, in the apps.
– Lead with Use Cases
– Show Visual Guides
– Summarize New Best Practices
– Use onboarding to show how your tool is different from the rest.
– The features will come through in context and mean more.

3. Start thinking beyond early adopters.
It’s still early days. Most users are early adopters, so they’re more open to testing, exploring and dealing with setbacks. The general consumer won’t deal with that nonsense.

Use this time to build a meaningful onboarding experience. Learn how to caoch new users how to be power users. Test, learn and refine across channels so you’re ready to properly onboard and educate the general consumer user audiences in the coming months and years.

4. Stop Outsourcing Your Story
YouTube is to AI tools what HGTV is to home renovations.

Podcasts are setting unreasonable expectations for consumers. Writing “build me an app” does not make one magically appear like the podcasters want you to believe.

Taking control of onboarding is another way to take full ownership of your story and the user experience. Great onboarding experiences set clear expectations, educate users on how to get the most value from these tools and coach them towards being better users and, eventually, paying customers.

#Onboarding #Lifecycle Marketing #Customer Marketing #AI