About Leory Yang

If you are a CMO or founder at a tech company right now, someone on your board has asked about your AI strategy in the last 30 days. You have an answer prepared. But underneath that answer is a quieter question you have not said out loud yet: are we already behind, and do we even know it?

Most brands are. Not because they have done anything wrong — but because the system that determines brand visibility just changed, and the failure is quiet, which makes it dangerous.

For two decades, brand visibility meant search ranking. If your brand appeared on the first page of Google for the right queries, customers found you. The rules were clear. The playbook was established.

That playbook is now failing quietly — and for a precise reason. AI models have become the first stop for high-intent purchasing decisions across virtually every consumer and B2B category. When a potential customer asks ChatGPT or Perplexity to recommend a brand in your space, the AI does not consult your search ranking. It looks for structured credibility signals — specific, verifiable claims that it can cite with confidence. Brands that have those signals get recommended. Brands that do not are invisible, regardless of marketing budget or brand awareness.

I have watched this pattern play out across tech brands, DTC companies, and internationally expanding businesses trying to establish credibility in Western markets. The brands losing ground to less-resourced competitors are almost always losing on this dimension — not product quality, not pricing, not distribution. Credibility architecture.

That observation is what led me to build Brandthrive.

Brandthrive is the first Managed AI Brand Growth system — a nine-agent pipeline covering the full closed loop: diagnosing how AI models currently perceive your brand, engineering the structured credibility signals that fix the gaps, executing content and influencer campaigns that build lasting authority, and optimizing based on what actually performed. Building and operating it in production — across real brands, in real market conditions — is what informs every managed engagement.

The model is simple: the technology proves what is possible. The expert who governs it determines what actually gets done.

I operate Brandthrive as a managed service — selecting which agents to activate, sequencing the pipeline for your specific situation, interpreting the outputs into strategic decisions, and taking accountability for outcomes rather than just delivering reports. This is not software access with support. It is a domain expert who runs the system on your behalf.

I studied at Duke University and have spent the years since at the intersection of brand strategy and AI systems — which turns out to be exactly where this problem lives.

If your brand needs to win in the AI recommendation era — and the window to build that advantage before your competitors do is narrowing — that is the problem I solve.