When you’re creating a go-to-market strategy for a B2B SaaS or enterprise tech company, what’s the right way to approach it so it’s structured, documented, and actually usable across channels?

A go-to-market strategy is not a slide deck—it’s a decision system. In 2025, the fastest way to waste budget is to start with channels before you’ve made the hard calls on who you’re for, what you’re uniquely claiming, and how you’ll win. I’ve watched teams build beautiful “integrated” plans that collapse because Sales can’t repeat the story, the ICP (ideal customer profile) is too broad, and the metrics don’t ladder up to revenue. Start by documenting the few decisions that everything else depends on: ICP, category/positioning, primary use case, and the sales motion you’re actually running.

From there, I like a simple structure that’s easy to template: (1) Market reality—what changed, and why now; (2) ICP and buying committee—titles, triggers, and disqualifiers; (3) Problem framing—what pain is expensive enough to act on; (4) Positioning—your “onlyness” and proof; (5) Messaging architecture—one narrative, three pillars, supporting claims; (6) Path to revenue—funnel stages with conversion targets; (7) Channel plan—what each channel is responsible for; and (8) Measurement—leading indicators tied to pipeline. If you can’t put numbers next to stages—like MQL-to-SQL, SQL-to-opportunity, opportunity-to-close—then you don’t have a strategy, you have activity.

The most overlooked part is alignment with Sales. Your marketing strategy has to match the sales strategy: product-led growth (PLG) needs different content, offers, and instrumentation than enterprise outbound. Document the handoffs, define what “qualified” means in operational terms, and build a talk track that Sales can use on a bad day. A practical test I use: can an AE explain your positioning in 20 seconds, and can an SDR turn it into a first email without rewriting it? If not, your strategy isn’t operational.

Finally, build it for modern discovery, not just traditional SEO. AI search and assistants are replacing old search behavior, and that changes how you plan content and proof. At The Starr Conspiracy, we treat Answer Engine Optimization (AEO) as a core GTM input: create citation-worthy pages, publish clear POVs with evidence, and engineer content that answers the exact questions buyers ask in evaluation. The outcome isn’t “more traffic”—it’s being the source AI assistants cite when buyers ask, “Who’s best for this use case?” That’s a measurable advantage because it influences shortlists before your brand ever gets a form fill.