Build an AI GTM Strategy From Scratch

Hockeystack just published a guide on creating an AI GTM strategy from the ground up. Their core argument: GTM AI gives you the speed and intelligence to compete. It handles the analysis and repetitive tasks, so you can focus on building better customer relationships.

That framing is exactly right. But most SMBs I talk to are still confused about what GTM AI actually means for them.

They think it's about replacing their sales team. Or they assume they need some massive tech stack before they can start. Neither is true.

The real opportunity is simpler. You're probably drowning in work that machines should do. Research. List building. Personalization at scale. Follow-up sequences. That's the stuff eating hours every week.

And that's exactly what AI handles best.

Start With the Grunt Work

Open your calendar. Look at the last two weeks of GTM activity.

How much time did your team spend on:

• Finding the right contacts at target accounts
• Researching companies before outreach
• Writing personalized first touches
• Building sequences and follow-ups
• Updating the CRM

If you're like most SMBs, that's 60-80% of your GTM hours. And most of it follows patterns that AI can replicate.

You don't need AI to replace strategic thinking. You need it to clear the decks so strategic thinking actually happens.

The Three-Layer Stack

When we build GTM AI for clients at Helix, we think in three layers.

Layer one is signal capture. Everything that tells you a prospect might be ready to buy. Job postings. Funding announcements. Product launches. Social activity. Intent data. You want AI monitoring these signals and flagging the accounts that matter.

Layer two is research and personalization. Once you know which accounts to target, AI does the heavy lifting. It pulls company info, identifies key stakeholders, surfaces relevant news, and drafts personalized outreach. Not generic templates. Actual relevant messages based on what the AI found.

Layer three is orchestration. The sequencing, timing, and coordination. AI handles when to send, what channel to use, and how to adjust based on responses. It also keeps your CRM clean and your reporting accurate.

Most SMBs try to jump to layer three without setting up layers one and two. That's backwards. You need the signals and research foundation before orchestration matters.

What to Automate First

If you're starting from zero, here's my recommended order.

First, automate your account research. Set up AI to pull company data, recent news, and key contacts. This should happen before your team ever touches an account.

Second, automate your first-touch drafts. AI can write personalized emails that reference specific company events or challenges. Your sales team reviews and approves, but they're not starting from a blank page.

Third, automate your follow-up sequences. Once you know what works, AI can replicate and scale it. It handles the timing, the channel switching, and the escalation logic.

Fourth, automate your reporting. AI can tell you which signals predict deals, which messages convert, and where your funnel leaks. This is analysis that humans are bad at and machines are great at.

What to Keep Human

Not everything goes to AI. Here's what I tell clients to hold onto.

Discovery calls. AI can prep you, but the actual conversation needs human judgment. You're reading between the lines, building trust, and adjusting on the fly.

Negotiation. AI can suggest terms and pull comps, but the actual back-and-forth requires human intuition.

Strategic account planning. AI surfaces data. Humans decide what to do with it.

Relationship nurturing after the deal. Your customer success work is about connection. AI can remind you to check in, but the check-in itself should be personal.

A Practical Starting Point

Here's what I'd do if I were an SMB founder starting today.

Week one: Map your current GTM process. Document every step from target identification to closed deal. Note where humans add value and where they're just executing playbooks.

Week two: Pick one repetitive process to automate. Start with account research or first-touch drafting. Use an AI tool to handle it. Measure the time saved.

Week three: Expand to a second process. Keep the human review step in place. You're building confidence in the AI output.

Week four: Connect the pieces. Your research feeds your outreach. Your outreach feeds your sequences. Your sequences feed your CRM.

By month two, you should have a functioning GTM AI stack that handles the repetitive work. Your team shifts from doing tasks to managing outcomes.

The Speed Advantage

Your competitors who aren't using AI are moving at human speed. They're spending hours on research that takes AI minutes. They're writing messages from scratch when AI can draft ten variations in seconds.

You can either match their pace or leave them behind.

For SMBs, this matters more than for enterprises. You don't have the headcount to throw at GTM problems. You need leverage. AI provides that leverage.

The companies we work with at Helix see 3-5x improvements in outbound efficiency. That's not magic. It's just removing the friction from work that shouldn't require human attention.

Getting Started

If you're reading this and thinking your GTM process could be faster, you're right. The tools exist. The playbooks are proven. The question is whether you'll implement them.

Start small. Automate one thing this week. See what happens. Then expand.

The goal isn't to build some complex AI system. The goal is to free your team to do the work that actually requires humans.

Relationships. Strategy. Judgment.

Everything else is a candidate for automation.