Your AI tools are only as good as the strategy you've given them. CommonFrame builds that foundation, using AI to get there faster and to scale what works once you do.
Traditional strategy frameworks were built before AI existed as an execution layer. The CommonFrame Method is different. AI accelerates the market research and sharpens the strategic work in the first four steps, so the foundation is built on real data, not instinct. Then it scales the output in the last two.
Most engagements start at the beginning. But if you've already done some of this work, we start where you are.
Before we build anything, we build the picture. AI compresses market and customer research that used to take weeks, so the strategy is grounded in data before we start. This is the input layer. Everything built above it depends on getting this right.
Strategy built on instinct gets refined over time. Strategy built on data gets there faster.
Built on the research. Who you're for, what you solve, and why you and not a competitor. This is where most companies are fuzzier than they realize. Everything above this step depends on getting it right first.
Get this wrong, and everything built above it will feel off, no matter how good the execution.
Positioning made usable. A messaging framework that gives your entire team (sales, marketing, product) one language to speak. Tailored to every buyer and every stakeholder in the room, so the story doesn't change depending on who's telling it.
One message. Every channel. Every person. That's alignment that compounds.
The plan that connects strategy to revenue. Which markets, which segments, which channels, and why those specifically for your stage. For B2B and B2G companies selling into enterprise or government, this means real account-based marketing: account-specific intelligence, multi-stakeholder messaging, and coordinated outreach across the buying committee. Built on the research we've already done together.
This is where positioning becomes pipeline.
Content systems trained on your positioning, so every asset, every channel, every week reflects the same story. Without starting from scratch. Your AI content strategy runs on the foundation we've built, not a generic prompt.
Your content writes itself. Consistently, at scale, in your voice.
Demand generation, outbound, and nurture workflows that run on your strategy. The velocity layer, so your team spends time closing, not building everything by hand. Outreach that sounds like you, running while you sleep.
The right strategy, running at scale. That's the whole game.
Hi, I'm Lynda Chau. I've spent 20 years building GTM and marketing functions for high-growth B2B and B2G SaaS companies, from early-stage startups through Series C, across enterprise and government markets.
I founded CommonFrame on a simple belief: the right framework, applied at the right moment, is the fastest path from confusion to clarity. A common frame: shared language, shared direction, shared foundation. That is what makes a strategy actually work. The name says it.
What's changed is AI. It now makes that foundation faster to build and far more powerful to scale once you have it. CommonFrame builds the foundation first, with AI inside the process from day one, then puts AI to work scaling what we've built together.
I've scaled ARR from $5M to $40M at near 100% CAGR, contributed to $0–$60M revenue growth through positioning and enterprise sales enablement, and built demand generation and ABM programs purpose-built for government procurement cycles, where relationships, credibility, and long buying timelines require a different kind of strategy.
That's usually where we start. If something here resonated, let's have a conversation.