The Six-Layer Growth Model:
from AI-visible to deal-signed

Most AI marketing stops at content. Our model covers the entire chain — being indexed, being understood, being recommended, being remembered, being contacted and being chosen — with a measurable KPI at every layer.

6
Progressive layers
90
Days to benchmark results
4-8 wks
Typical citation lift window
100%
KPI-backed deliverables
Layers 1–3

First, get found and recommended

The visibility layers. They decide whether AI engines can index you, understand you and put your name in the answer.

L1 · SEO — Search Foundation

Be indexable. Technical site audits, crawlability fixes, keyword architecture and baseline content ensure search engines — the data source for most AI models — can find and index everything you publish.

L2 · AEO — Semantic Parsing

Be understood accurately. Schema structured data, FAQ knowledge bases and brand-consistency audits eliminate AI misreadings, so models describe who you are and what you solve without errors or gaps.

L3 · GEO — Generative Recommendation

Be recommended proactively. A matrix of deep, citable content optimized for how models like Doubao, Qwen, Kimi and DeepSeek select sources — measured by AI first-recommendation and citation rates.

Layers 4–6

Then, convert visibility into contracts

The conversion layers. They decide whether being seen turns into being remembered, contacted and finally signed.

L4 · GAO — Brand Mindshare

Be remembered. Brand tag systems, industry research reports and knowledge graphs build durable brand associations so AI keeps mentioning you across question variations, not just once.

L5 · GMO — Lead Conversion

Be contactable. Touchpoint optimization, landing-page A/B testing and consultation SOPs turn AI-driven visits into tracked, qualified inbound leads.

L6 · GDO — Decision Endorsement

Be chosen. Deep case packaging, transparent service processes, third-party source building and competitor comparison testing construct the evidence chain that wins the final AI-assisted comparison.

Why It Works

Principles behind the model

Progressive, not all-or-nothing

Each layer delivers standalone value. Start with three layers; let data justify each next step.

Self-proven first

We ran the full model on HuiTuYun itself — from AI-invisible to top recommendation — before offering it to clients.

Dual-track effect

The model solves both information delivery (can AI find the facts?) and mindshare (does AI prefer you?).

Everything measurable

First-recommendation rate, mention rate, citation count, lead volume — weekly monitored, monthly reported.

FAQ

Frequently Asked Questions

Which layers should we start with?+

Layers 1–3 (SEO + AEO + GEO) form the recommended starting scope. They establish the ability to be recommended by AI, and citation improvements typically appear within 4–8 weeks — creating the data baseline for deciding on layers 4–6.

Is this model specific to Chinese AI engines?+

No — the principles apply to ChatGPT, Perplexity and Gemini as much as to Doubao, Qwen, Yuanbao and Kimi. What differs per engine is the source strategy: which crawlers to admit, which platforms feed each model, and where content must live. We handle both.

How is this different from a content agency?+

Content agencies produce articles. The Six-Layer Model manages the full chain from crawlability to signed deals, with defined deliverables and KPIs per layer — content is only one instrument inside layer 3.

See the model applied to your brand

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