Most B2B companies that discover weak AI visibility immediately label it a “marketing problem” and throw it at the CMO to fix. That’s the wrong move. What shows up in AI-generated responses is a direct reflection of your go-to-market foundation. And until that foundation is solid, no amount of optimization will change the picture.
How Your AI Visibility Exposes Your Deeper Growth Problems Read More »
When growth stalls in B2B companies, it’s almost never an activity problem. Teams are busy. Dashboards are full. The pipeline is moving. And yet the revenue line stays unpredictable and nobody can quite agree on what’s actually wrong. There’s a structural reason for that… and it’s invisible from inside the silos.
Why B2B Growth Stalls: The Progress Illusion Read More »
Most B2B teams hand their AI tools fragments of strategy and wonder why the output is generic. The fix? A structured document library built for how AI actually consumes context. The design is surprisingly simple. What’s harder is what happens when your team sits down to agree on what goes in these documents.
The AI Document Library Your B2B Team Needs (And Probably Doesn’t Have) Read More »
Every marketing function is already shaping how AI describes and recommends your company. Most teams are doing it accidentally. This final post in the AI Visibility Gap series goes function by function — content, SEO, brand, product marketing, PR — and names what each one needs to start doing deliberately.
The LLM-Era Marketing Playbook: What Every Function Needs to Do Differently Read More »
Most marketing operating models were built for channels we can track. But buyers now outsource research to AI, and your existing footprint is shaping the answers. Someone needs to own this new perception layer. The job is straightforward: new objectives, expanded scope across functions, and governance that keeps AI’s representation accurate and credible.
Your Marketing Operating Model Has a Blind Spot. Here’s What’s Missing. Read More »
