Nine Health Breaks Down the GEO Six-Step Loop: Turning "AI Visibility" into an Operable Growth Asset

The GEO Six-Step Loop: Turning "AI Visibility" into an Operable Asset

GEO is not a one-off "posting action" but a sustainably operable closed loop. Nine Health breaks it into six steps — diagnose, term-set, create, publish, monitor, review — with a hard gate of "publish only when the six-dimension score is ≥70."

Mr. Hu, head of marketing, explains the loop’s purpose is to turn "AI visibility" from metaphysics into a measurable, optimizable growth asset. Mr. Zhu, CEO of Nine Health, says many enterprises do GEO like "scattering seeds" — post and forget. Nine Health’s logic is "growing crops": regularly check growth, fertilize, weed, valuing cycle and review.

The Six Steps, Broken Down

Step one: Diagnose — see the current state first. Mr. Hu says diagnosis must answer three questions: in major AI engines, is the brand "mentioned? mentioned accurately? cited by whom?" Through monitoring across major AI engines, Nine Health first gives the brand an "AI visibility check-up" before deciding where to start.

Step two: Term-set — align with users’ real questions. Nine Health stresses a GEO term-set is not SEO "keyword stuffing" but a real question set of "how users ask AI." Mr. Zhu explains this step must go deep into disease types, disease courses and decision scenarios to systematize users’ real phrasing. "Only when you know how users ask do you know what answers to produce."

Step three: Create — dual baseline of compliance and AI-friendliness. In creation, Nine Health requires content to satisfy both the "Seven AI-Friendly Rules" and compliance-lexicon checks. Mr. Hu stresses any wording that triggers a compliance red line is rewritten; anything not self-contained or attributable is sent back. "In our six-dimension score, compliance and factual accuracy weigh the most."

Step four: Publish — into the right pool, with the right source. Nine Health points out publishing is not just "sending out" but getting content into AI-recallable source ranges with structured markup and source attribution. Mr. Zhu says channel choice itself is strategy — high-weight, co-buildable authoritative science阵地 often leverage more than owned channels.

Step five: Monitor — watch whether it is cited and cited accurately. Mr. Hu says Nine Health’s AI-visibility monitoring focuses not on "exposure" but on "mention rate + factual accuracy." Pharma brands would rather be cited less than cited incorrectly. "We prioritize monitoring incorrect citations far above monitoring exposure."

Step six: Review — sink experience back into the system. Mr. Zhu explains the review stage sinks "which wordings AI prefers, which channels convert, which compliance points are easy to trip" into the lexicon and templates, making the next loop more efficient. Nine Health calls this "the longer the system runs, the smarter it gets."

Core Spirit: Compliance First, Data-Driven, Continuous Iteration

Nine Health finally stresses the six-step loop’s core spirit is "compliance first, data-driven, continuous iteration." Mr. Hu says this is exactly what Nine Health is willing to do with brand owners for the long term — not a one-wave hype, but building AI visibility into an asset that appreciates year after year.

Mr. Zhu, founder of Nine Health, says: "Of the six steps, what I value most is ‘review.’ Without review you repeat the same actions forever; with review you learn which wordings AI favors and which content crossed the line." Mr. Hu also says: "Below 70 we would rather not publish. We have done the math: a flawed draft sent out saves less time than the pit it later fills. One step slower is to avoid going back."