The AI visibility gap.

There’s a version of your brand living inside AI systems right now. It’s a composite built from your website, press coverage, review sites, forum discussions, and anything else that made it into training data or gets pulled via web search grounding. That version of your brand is answering questions and making recommendations to potential customers every day. Most companies have no idea what it’s saying.

The gap is partly a tooling problem. Until recently there was no straightforward way to monitor what AI says about you at scale. You could ask ChatGPT manually, but that’s a snapshot across one platform, and AI answers change. You’d need to check regularly, across multiple platforms, across multiple queries — and then somehow make sense of the results. Most teams don’t have the bandwidth for that.

The gap is also partly a mindset problem. Marketing teams are optimized for channels they can measure and control — paid media, SEO, email. AI visibility doesn’t fit neatly into existing frameworks, so it gets deprioritized. But 'we can’t measure it yet' has historically been a terrible reason to ignore a channel.

The brands closing the gap first will have a compounding advantage. They’ll know when AI misrepresents them and can push back. They’ll know which competitors AI is recommending instead and can study why. They’ll build a feedback loop between their content strategy and their AI presence. That’s not a small edge — it’s the new version of having good SEO when most companies still hadn’t figured out what SEO was.