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Kurt Lewin’s 1951 behaviour equation: what a person does depends on who they are and the situation they are in. JefurryAxis points it at AI search — we model the buyer and the week they are having, derive the question they would actually type, and check whether AI names you in the answer it gives back.

SEO wins a position on a page of links. An AI assistant returns one synthesised answer, different for each person, with no page one to be seventh on. What counts is whether your brand is named in that answer, how high it sits, and how much of the answer is about you.

Ten automatically: ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Qwen, Doubao, Kimi and Hunyuan. Tencent Yuanbao, RedNote Ask and Google AI Overviews are covered through team-assisted runs. International and Chinese models are always scored as two separate tracks, never averaged.

One number from 0 to 100, built from four readings of the same sampled answers: whether the brand is mentioned, how often, how high in the list, and what share of the answer is about it. The question set and test conditions travel with the score, so every re-test measures the same thing.

No, and no vendor can. What we can do is optimise for the specific personas you want to win — and that approach has been tested. Our peer-reviewed research, “Persona-Driven AI Engine Optimization in Zero-Click Search”, found that articles written for one persona were cited only for that persona, while the brand’s AI Visibility Score rose from 69.1 to 77.2 — the targeting holds. And in our RedNote case, the same method took a brand from zero to one: absent from the answer before, recommended and cited after.

JefurryAxis is the AI visibility product of Jeffery Asia, a Singapore growth agency working across education, healthcare, finance and cross-border services since 2016. The research, the measurement method and the delivery team all come from there.