The institution built
to define AI Search.
Not a tool. Not a plugin. A research-led authority that is building the canonical body of knowledge for how brands get found, trusted, and cited by AI.
The observation that started everything.
AI Search Lab was founded in Hong Kong with a single, inconvenient observation: the tools marketers rely on were built for a search paradigm that is already fading.
When AI models — ChatGPT, Perplexity, Google Gemini — began answering questions directly instead of listing links, they changed who gets found, who gets trusted, and who gets ignored. The entire framework of "rank on page one" became irrelevant overnight for a significant and growing share of user queries.
Most agencies responded by renaming their SEO decks "GEO" and continuing as before. We didn't. We rebuilt the methodology from first principles — studying how large language models select sources, how they weight authority signals, how they decide which brands to name when a user asks a question your product answers.
"We built AI Search Lab to study that shift with the rigor of a research institution and the urgency of practitioners who know the window is narrow."
Today AI Search Lab operates at the intersection of AI model behaviour, content authority, and structured data — the three forces that determine who gets cited in the age of AI-generated answers.
How we make AI
choose you.
AIO (AI Influence Optimization) is not SEO with a new name. It is a purpose-built discipline with its own signals, its own measurement framework, and its own competitive dynamics.
We query the five major AI engines with your target topics and map every mention, citation, and omission. You cannot optimise what you cannot measure.
AI models don't read pages — they parse structured signals. We build the entity relationships, Schema markup, and semantic architecture that makes your brand legible to LLMs.
We identify the exact queries where AI models form opinions about your industry, then produce the canonical content that becomes the model's reference point.
Your content needs to appear in the training signals and real-time retrieval layers that AI models use. We distribute across the platforms, publications, and sources that models trust.
AI model behaviour changes without notice. We monitor your citation status across ChatGPT, Perplexity, Gemini, Claude, and Copilot — adjusting strategy when the models shift.
Ready to be cited by AI?
Get an audit from the team that built the methodology — and find out exactly where you stand in the AI engines your buyers are already using.