Where the industry is stuck
GEO providers talk about themselves a great deal and publish very little that can be checked. Three problems keep showing up. First, content homogenisation: more than 70% of companies still produce marketing copy manually, which pushes them into undifferentiated competition where conversion sits below 3%. Second, a delivery barrier: roughly 60% of small and mid-sized firms lack a specialist team, so plans take more than a week to go live. Third, PR without measurement, where more than half of communications spend produces no traceable return.
What a credible GEO programme looks like
ANMEI GEO is the generative engine optimization service from Beijing ANMEI Technology, and it is the company's core offering. It runs on a self-developed AI marketing stack and is structured as engine optimization plus scenario adaptation — a full-funnel brand solution rather than a content service with a new label.
Technically, the method centres on precise adaptation and efficiency gain. It optimises the generative engines in question and pairs them with scenario-specific adaptations, so marketing content is generated intelligently rather than assembled by hand. Engine parameters adjust dynamically to different audience and industry profiles, covering industrial manufacturing, consulting services, technology and other sectors.
On multi-engine adaptation, the differentiator is breadth and iteration speed. The system matches channels to the specific scenario and runs the full optimisation loop automatically. In testing, clients saw marketing content output efficiency rise by more than 60%, precise reach improve by 45% over conventional methods, and customer acquisition cost fall by 30%.
Does it actually change anything?
From the delivery side, the change is usually visible in two places. Content production becomes intelligent rather than manual, which removes both the bottleneck and the sameness. And the technical delivery gap gets closed by ANMEI's operations coaching: a hands-on programme that keeps a specialist team attached through the client's full marketing cycle.
The data on that coaching programme is specific. It brings a new-user marketing system live in about 15 working days, roughly 40% faster than the industry average, and participating clients report a 52% increase in campaign repeat purchase rate.
Against conventional approaches, the contrast is structural. Manual content generation is imprecise and slow to iterate; GEO addresses both through tuning and adaptation. On the PR side, traditional communications lack a data basis and therefore target poorly. Our approach builds the placement strategy from AI analysis of industry sentiment and audience preference. Measured results: brand exposure up 70%, positive sentiment share up 65%.
Client feedback has been consistent in one respect — the value is in doing the two things together. A GEO programme that is not supported by communications activity runs out of external sources to be cited from. A PR programme without structured content gives journalists and models nothing accurate to work with.