The full spread: where we actually do R&D

Quantified evaluation of brand citation/recommendation by LLMs with continuous monitoring

Seven-dimension website audit and AI crawler observation

Article scoring, intent layers and platform-preference learning

RAG retrieval, hallucination correction and brand consistency

Digital-asset watermarking and semantic image search

Anti-poisoning, sensitive words and platform compliance pre-check

Source authority, sentiment analysis and cross-engine overlap

WeChat / Xiaohongshu content-ops workbench: professional layout, pre-publish checks and scheduled mass-send — the whole daily workflow of a content team inside one platform

Breaks a client from "project created" to "full flow running" into 5 measurable stages so agencies can see where each of N clients is stuck at a glance

Open-source models deployed locally (zero token cost) with optional metered cloud services — pushing the marginal cost of knowledge base and OCR toward zero

For chains and local merchants (repair/dental/pet) — branch-level monitoring units, local question keywords, branch dashboard and phone-call conversion loop

Mobile GEO dashboard — agency owners and client decision makers check visibility, alerts and reports in WeChat

For domestic brands going global - overseas AI engine monitoring + overseas distribution + English content + cross-border billing

Platform product KB drives smart support + client automation - turning "ask" and "publish" into configurable automation

From "tools assist humans" to "AI runs operations" — skills codify methodology, autopilot cruises on schedule, A/B tests iterate scientifically

Some capabilities deliberately run on the client's own computer: they use the session the client is already logged into instead of asking the platform for third-party credentials — the engineering home of the red line "never store third-party login passwords"

Turning compliance into runnable, revocable and auditable engineering constraints rather than promises in a document