You're brilliant. And nobody can find you.
Here's what changed while you were busy being excellent at your work.
The way people discover expertise has fundamentally shifted. The "ten blue links" era is ending. Google's AI Overviews & AI Mode, ChatGPT, Perplexity, Claude are now the first place decision-makers go when they need to find someone who knows what they're talking about and how to do it.
Over a billion prompts are sent to ChatGPT daily. When an AI Overview appears, users click traditional search results only about 8% of the time (Pew Research Center, 2025)[1].
You're either in the AI's answer, or you're invisible.
And this raises unnecessary anxiety: being great at what you do is no longer enough to be found. The world's best surgeon, the most insightful strategist, the founder with the most original thinking, the innovative brand and solution are invisible to AI (and even less so when agents are involved) when they aren't structured for how AI engines discover and evaluate authority.
BCG (2020)[2] estimates that the mismatch between skills requested and skills found — the wrong people in the wrong roles — costs the global economy $8 trillion annually.
A significant driver of mismatch is information asymmetry. As AI engines become the primary discovery channel for talent and services, experts who are invisible to those engines risk becoming part of that mismatch. AI engines cite people whose original story coheres and is narrated across platforms, across content, across time. They recommend brands whose narrative is clear, authoritative, and genuinely useful.
Fresh research from Sparktoro (2026)[3] found that AI recommendations are wildly inconsistent — less than 1% repeat rate across queries. However, certain brands appear in 55-77% of responses because they have the strongest, most consistent narrative coherence across sources.
Most professionals respond to this shift in one of two ways: some panic and start posting daily on LinkedIn (producing exactly the kind of performative, AI-generated slop that audiences, and AI itself, are increasingly sick of); others ignore it entirely and hope their work speaks for itself.
Neither works. There's a third way. And it is unique to yourself.