But did anyone check?
For twenty years I watched startups and growing companies make the same bet. They invested in marketing built on positioning they never had the resources to truly test.
The research that catches those gaps, the kind large enterprises run, was too slow, too expensive, and completely out of reach. I kept waiting for the technology to change that. Now it has.
We can process thousands of conversations, podcasts, blog posts, Reddit threads, competitive signals, and buyer language across every channel where your market actually talks. We find the patterns, pressure-test the messaging, and build strategy with more confidence than this work has ever allowed.
I have built positioning for deeply technical brands (SaaS, application security, cybersecurity) and worked with dozens more, from agencies to service providers to startups. I know where the gaps are. I built Pebble to fill them.
Laura McAliley, Founder
Fractional CMO for B2B
The effort is not usually the problem. The strategy underneath the effort is.
I have seen websites say one thing while sales says another. Polished marketing built on assumptions that were never really challenged. Good teams keep executing even when the story underneath the work has never been settled. That is where the waste starts. Not because the people are not smart. Because until recently, there was no practical way to check whether the positioning held up before everything was built on top of it.
Evidence over instinct
Marketing strategy should be built on evidence, not instinct. If nobody checked whether the positioning holds up against what buyers actually think, everything built on top of it is a gamble.
Why Pebble exists
I saw that clearly in agency work too. We did the research, built the decks, and made smart recommendations. But too often, the work was slow, expensive, or hard for a busy team to turn into action. Pebble came from that frustration. AI is part of that story. Not as the headline, and not as a substitute for judgment, but as a way to evaluate more deeply and move faster than this work used to allow. What matters is the thinking: knowing what to check, what matters, and how to turn that into direction a team can actually use.