Digital Engineering Hub

Complex requirements,
converged into systems that ship.

Standardized professional services · Selected work · Automated delivery

No buzzwords, no idle demos. We take on system architecture, applied AI, and engineering modernization — from requirement scoping through go-live operations, every stage leaves a verifiable reading.

Neural-network nodes and luminous data streams in a deep blue-violet gradient, symbolising ZhiYong Tech's AI-driven digital engineering hub
GEO · Generative Engine Optimization

Generative Engine Optimization,
getting your brand into AI's answer set.

The entry point to search is shifting from ten blue links to a single answer. GEO is not keyword stuffing — it reshapes a company's knowledge structure, entity relationships and credible evidence into a form that large models can read, dare to cite and trace back to source, so that DeepSeek, Kimi, GPT, Claude and Perplexity write your brand into their candidate answers instead of handing it to a competitor.

A 3D knowledge graph of entity nodes linked by light, with an AI answer halo rising at the centre, illustrating Generative Engine Optimization
G1

LLM Knowledge-Graph Penetration

We break a company's products, technologies, credentials and case studies into entity nodes, map the attributes and relations between them, and let a model walk the graph to your node during retrieval and reasoning.

  • Entity extraction and synonym disambiguation
  • Attribute completion and relationship modelling
  • Corpus-source weighting and trust propagation
Deliverables · entity inventory / relationship graph / corpus-source weight table
G2

Advanced Schema.org Injection

Structured data is organised as a single JSON-LD @graph, with Organization, Service, FAQPage, ItemList and Place types annotated strictly to the schema.org specification so machines read it without ambiguity.

  • Type selection and field-compliance audit
  • Zero dangling references across the @id network
  • Answer consistency across rich results and FAQ cards
Deliverables · JSON-LD @graph / validation report / iteration baseline
G3

AI-Friendly Corpus Foundation

Using the llms.txt / llms-full.txt convention, we distil a plain-text layer crawlers can consume directly, turning messaging scattered across pages into structured, source-annotated corpus material for RAG and long-context systems to draw on in full.

  • llms.txt summary layer and index structure
  • llms-full.txt full-text layer
  • Q&A messaging sourced verbatim from the pages
Deliverables · llms.txt / llms-full.txt / robots allow policy
G4

Entity Binding and Brand Co-occurrence

We bind the brand to authoritative entities within the same context — through sameAs links, credential citations and consistent naming — so a model judges it a trustworthy source; the more stable the co-occurrence, the higher the chance it is cited.

  • Reciprocal sameAs links to authoritative nodes
  • Unified brand naming and messaging governance
  • Placement of third-party source citations
Deliverables · entity-binding table / co-occurrence monitoring / citation tracking
PHASE 01

Semantic Health Check

We sample questions against mainstream AI engines, recording where the brand appears in answers, which sources are cited and where competitors take the slot, producing a comparable baseline reading.

Deliverables · semantic status report / competitor-occupancy map
PHASE 02

Structural Build-Out

We rebuild the knowledge graph and corpus layer to the Schema.org specification, aligning entities, relations and Q&A messaging in one pass, with every change baselined and rollback-ready.

Deliverables · JSON-LD / llms corpus / change baseline
PHASE 03

Answer Placement

We place citable answer blocks around high-intent questions and pair them with external-source co-occurrence, so models reliably deliver your wording under relevant queries.

Deliverables · answer-block matrix / source-citation list
PHASE 04

Reading Regression

We re-test the question set on a regular cycle, tracking changes in appearance rate, citation rate and wording consistency, and let the data decide whether optimisation actually works.

Deliverables · re-test log / performance trend / tuning recommendations
Is GEO the same thing as SEO?
No. SEO competes for ranking on the search results page; GEO competes for citation and mention inside AI-generated answers. GEO focuses on entity structure, corpus readability and source credibility, and the metric of success shifts from click-through rate to answer-appearance and citation rates. The two can run in parallel, but they are built differently.
How soon will we see changes in AI answers?
Structured data and the corpus layer are crawlable as soon as they are deployed; how fast answers change on the model side depends on each engine's retrieval and retraining cadence. We normally run a four-week re-test cycle, comparing appearance and citation rates against the same question set — no off-the-cuff promises on timing.
Will this change our existing website content?
We work on a lossless, additive basis. Existing sections, core facts, links and contact details are all preserved; GEO work mainly adds structured data, a corpus layer and answer blocks. Where existing wording genuinely needs adjusting, we issue a difference list for line-by-line sign-off and keep a rollback-ready baseline.
How do we verify the optimisation really works?
We run periodic re-tests on a fixed question set, recording where the brand appears in answers, which corpus sources are cited, where peers take the slot, and how consistent the wording is. Each cycle is compared against the first baseline, and appearance, citation and wording-consistency rates are written into the report.
Can we do just one part of it?
Yes. Knowledge-graph penetration, Schema injection, the corpus foundation and entity binding can each be taken on separately. If you start with one, we suggest advanced Schema.org / JSON-LD injection — it is the least invasive, the most verifiable, and it lays the groundwork for the other three.

Delivery note: the above is the fixed capability scope and delivery format of the GEO line — engage a single module as needed, or take all four end to end. The re-test question set and acceptance criteria are itemised in the proposal; scheduling and commercial terms follow the proposal agreed after requirements review.


Cross-Border · Global Digital Infrastructure

Global infrastructure,
storefronts, private links and payments in one pass.

From building the standalone storefront to global network links, multi-currency acquiring and end-to-end AI Agent enablement, we fold the scattered pieces of going global into one engineered whole. No template assembly — every stage is delivered against acceptance readings, and the site stays in your hands.

Luminous routes linking continents on a night-time globe with a holographic storefront over the ocean, illustrating cross-border digital infrastructure
X1

Storefront Matrix

Shopify and Headless are chosen per category and operating cadence: a minimal, high-quality visual system, a front-end you can iterate on independently, and conversion paths continuously refined against analytics. The site data and domain are genuinely yours.

  • Shopify theme customisation and performance tuning
  • Headless front-end with a self-owned content model
  • Multi-site matrix and brand isolation
Deliverables · shippable site / theme source / analytics and conversion dashboard
X2

SD-WAN Enterprise Acceleration Line

A stable path for cross-border offices and store back-ends: intelligent multi-carrier routing, priority protection for critical traffic, encrypted transport and centralised policy management — holding cross-border jitter and packet loss down to a usable level.

  • Multi-link intelligent routing and redundancy
  • Business-grade QoS and bandwidth assurance
  • Encrypted transport and centralised policy delivery
Deliverables · network topology / link-monitoring report / operations manual
X3

Multi-Currency, Multi-Language Compliant Acquiring

Compliant payment integration for mainstream markets: multi-currency pricing and settlement, coverage of localised payment methods, risk rules and chargeback handling — with tax and data-compliance requirements landed alongside the site.

  • Card, wallet and local payment integration
  • Multi-currency pricing, settlement and reconciliation
  • Risk rules and chargeback dispute handling
Deliverables · payment configuration / reconciliation workflow / compliance checklist
X4

AI Agent Enablement for Global Markets

We wire agents into the going-global pipeline: multilingual product content generation, time-zone-agnostic customer service, and data interpretation for product selection and ad spend — turning manual operations into traceable automated workflows.

  • Multilingual product and marketing content generation
  • Cross-time-zone smart support and ticket triage
  • Product-selection and campaign data interpretation
Deliverables · agent runtime / scripts and knowledge base / performance dashboard
Selection & Content
Category positioning, asset standards and a multilingual copy foundation
Stage 01 · Before the site starts
Site Build
Both Shopify and Headless routes, with analytics and a performance baseline
Stage 02 · Ready for go-live acceptance
Network & Links
SD-WAN networking, cross-border acceleration and policy delivery
Stage 03 · Link-reading acceptance
Acquiring & Compliance
Multi-currency payments, risk rules and settlement reconciliation
Stage 04 · Order loop closed
Agent Operations
Content generation, cross-time-zone support and campaign data interpretation
Stage 05 · Continuous iteration and on-call
Shopify Plus Headless Commerce React / Next.js TypeScript Node / Python Multi-currency settlement Stripe / PayPal / local wallets SD-WAN networking QoS and link redundancy GDPR / data compliance Multilingual SEO RAG knowledge base AI Agent runtime

Delivery note: the cross-border line advances in four stages — site, links, acquiring, operations — and can be taken as a whole package or as any single stage. Payment channels and compliance requirements follow the target market's current policy; the specific plan and quotation follow the proposal agreed after requirements review.


WeChat Mini-Program · Full-Stack Custom Development

WeChat mini-program, full-stack custom build —
from business scenario to approved launch, one loop.

From native TypeScript to Taro / Uni-app cross-platform, from business modelling to official compliance review, and on to miniprogram-ci automated delivery — we cover the four questions of a mini-program (can build, can pass, can be fast, can be automated) in one pass, with verifiable metrics at every step.

Three floating phone screens showing abstract interface layouts surrounded by teal code streams, illustrating full-stack WeChat mini-program development
W1

Full-Scenario Business Customisation

Modelled on your real business, not a template. Five scenario families — retail e-commerce, brand showcase, enterprise collaboration & office, check-in, and viral marketing — delivered end to end from requirement mapping to live operations.

  • Retail e-commerce (catalogue / cart / checkout / WeChat Pay / fulfilment)
  • Brand showcase (brand site / cases / store locator / booking & lead capture)
  • Enterprise collaboration & office (approvals / contacts / calendar / tickets / intranet apps)
  • Check-in (geo check-in / attendance stats / event sign-in / points)
  • Viral marketing (group buy / bargaining / lucky draw / distribution / membership growth)
Deliverables · shippable mini-program / business-model doc / operations console
W2

Official Compliance & Review, Fully Managed

We front-load the parts most likely to be rejected: filing, privacy agreements and special-category qualifications are aligned with official requirements once, cutting back-and-forth rejections.

  • 2026-current ICP filing compliance guidance (entity / pre-approval / content compliance)
  • Dual privacy interception (wx.onNeedPrivacyAuthorization) anti-rejection scheme
  • Pre-approval category compliance (medical / finance / education / live-streaming and other special categories)
Deliverables · filing checklist / privacy-compliance scheme / category-qualification guide
W3

Extreme Performance Architecture

Architecture driven backwards from experience targets: instant open, no jank, no dropped frames — moving both the bundle-size and memory bottlenecks out of the way.

  • Native instant-open (FMP < 1s, first-screen skeleton parallel to subpackages)
  • Subpackage preload (preloadRule) to break size limits (main package ≤ 2MB)
  • Memory & setData tuning (long-list virtual scroll / partial updates)
Deliverables · performance-baseline report / subpackage plan / tuning checklist
W4

CI/CD Automated Delivery

miniprogram-ci wires an unattended path from commit to release; versions, SourceMap and grey-release policy all stay traceable.

  • miniprogram-ci headless automated upload & preview
  • SourceMap tracing and production error attribution
  • Grey release and IP-allowlist secure hosting
Deliverables · pipeline config / SourceMap baseline / grey-release policy
Requirement Discovery
Business mapping, scenario inventory and feature-list sign-off
STEP 01
UI Prototype
Interaction draft and hi-fi prototype reviewed and locked
STEP 02
Architecture & Build
Native / Taro / Uni-app selection and front-end scaffolding
STEP 03
Filing & Compliance
ICP filing, privacy agreement and category-qualification review
STEP 04
Automated Submission
miniprogram-ci upload, preview and version submission
STEP 05
Grey Release
Grey rollout, metric regression and full launch
STEP 06
Native TypeScript WeChat CloudBase Skyline renderer Subpackages & preload WeChat Pay Privacy-compliance certified Taro Uni-app miniprogram-ci WXSS / WXS

Delivery note: the mini-program line advances across four dimensions — business, compliance, performance, automation — and can be taken as a whole package or as any single link. Filing and category qualifications follow WeChat's and the regulator's current policy; scheduling and commercial terms follow the proposal agreed after requirements review.


01 · Services

Standardized services,
with scope, deliverables and acceptance criteria in writing.

The four service lines are delivered to a single standard, and you can engage one or take them end to end. Every service maps to explicit deliverables and is accepted against actual readings — no paper promises.

Layered translucent glass architecture suspended and connected by precise conduits, illustrating standardised engineering services
S1

System Architecture & Governance

Architecture design that addresses the dual complexity of traffic and organisation — from boundary definition to failure drills, delivering a technical plan that can both land and evolve.

  • Distributed systems and service governance
  • Capacity planning, degradation and circuit breaking
  • Architecture review and disaster-recovery design
Deliverables · architecture proposal / risk register / transformation roadmap
S2

Applied AI Delivery

We connect large models to real business: tool calling, memory management, effectiveness evaluation and end-to-end observability, so agents produce reliably rather than hallucinate.

  • Multi-agent collaboration and task orchestration
  • Knowledge base and retrieval augmentation
  • Tool permissions and evaluation regression
Deliverables · runnable agent / evaluation set / one-month regression log
S3

Engineering & Delivery

End-to-end delivery capability — from infrastructure to interface feel, all carried in-house — so your team moves faster and the product feels complete.

  • Cloud-native infrastructure and CI/CD
  • Front-end and back-end engineering standards
  • Observability and alert consolidation
Deliverables · runnable system / test log / pipeline configuration
S4

Infrastructure Operations

Day-to-day operations, monitoring and automated inspection for data centres and self-hosted platforms, holding failure rates down to a predictable level.

  • Container orchestration and self-healing
  • Monitoring alert consolidation and inspection
  • Backup and disaster-recovery drills
Deliverables · operations handover manual / inspection log / monthly drill report

Delivery note: the four lines above are the fixed scope and delivery format of the standardised services, available per segment or end to end. Scheduling and commercial terms follow the proposal agreed after requirements review; work starts once the contract is signed.


02 · Selected Works

Selected work,
the representative picks from 17 shipped systems.

Engineering systems, plugin ecosystems and automation pipelines built through long iteration, laid out by type. Each one runs in a real environment — runnable and traceable, not a concept deck.

Glowing data pipelines converging into a ring-shaped data band and dashboard light wall, illustrating the automation platform and agent runtime
Automation Pipeline

Data Automation Hub

Full-chain hosting of meter reading, accounting, reporting and alerting. Repetitive data labour is taken off people's hands, and reports grow themselves on schedule.

Python / pandasScheduled task chainsException flaggingHundred-thousand-scale daily throughput
Agent System

Agent Runtime

Multi-agent division of labour, tool orchestration, memory lifecycle, evaluation regression and cost control, with millisecond response on critical paths.

Multi-AgentRAGEvalTool permissions
Engineering Infra

Self-Maintaining Delivery Pipeline

A reusable build-and-operations pipeline shared across projects. A new repository needs only a little configuration; the rest runs itself.

Docker ComposeNginxReusable WorkflowCI/CD
Integration

Multi-Channel Access Layer

Business systems and messaging channels are integrated uniformly — one flow for triggering, dispatch and audit trail — so you don't rewrite for every channel.

WeChat / QQEmail / WebhookIdempotent retry
Plugin Ecosystem

Plugin & Tool Ecosystem

17 self-built plugins and tools with unified version management, tiered permissions and regression testing, sharing one foundation across projects.

Plugin RegistryVersion managementTiered permissionsRegression testing
Edge & Delivery

Site & Edge Access

Full TLS coverage for sites and services, DNS hosting, and tiered management of keys and credentials, with every change logged and rollback-ready.

Let's EncryptKeys never on the siteChange logging


03 · Solution Matrix

Solution matrix

Solution Matrix

A matrix array of glowing 3D cubes with distinct internal light patterns, illustrating a modular solution matrix
M1

Data Automation Hub

Full-chain hosting of meter reading, accounting, reporting and alerting. Repetitive data labour is taken off people's hands, and reports grow themselves on schedule.

  • Python / pandas collection and cleaning
  • Scheduled task chains and failure retry
  • Automatic exception flagging and alerting
Deliverables · data pipeline / report templates / alert rules
M2

Agent Applications

Agent runtimes tailored to business scenarios, covering multi-agent division of labour, retrieval augmentation and cost control, so models produce reliably in real business.

  • Multi-agent division of labour and task orchestration
  • RAG knowledge base and retrieval augmentation
  • Evaluation regression and token cost control
Deliverables · agent runtime / evaluation set / cost report
M3

Self-Maintaining Delivery System

A build-and-operations pipeline shared across projects. A new repository needs about ten lines of configuration; build, release and monitoring are wired up automatically.

  • Docker Compose orchestration templates
  • CI/CD and GitHub Reusable Workflows
  • Self-healing restarts and health checks
Deliverables · pipeline templates / onboarding docs / operations manual
M4

Energy Efficiency & Cost Reduction

A one-stop package of variable-frequency drives, reactive-power compensation, cooling-source and PUE optimisation; after commissioning we reconcile against the settlement bill — savings counted to the cent.

  • VFD and reactive-power compensation retrofit
  • Cooling-source group control and PUE optimisation
  • Reconciliation against the settlement bill
Deliverables · retrofit plan / energy baseline / savings estimate
M5

Multi-Channel Access Layer

Unified integration of WeChat / QQ / Email / Webhook — one flow for triggering, dispatch and audit trail, with idempotent retry on failure.

  • One protocol across four channel types
  • Trigger and dispatch orchestration
  • Idempotent retry and end-to-end audit trail
Deliverables · access gateway / orchestration config / audit log
M6

Compliance & Security Hardening

Full TLS coverage for sites and services, DNS hosting, and tiered management of keys and credentials — every change logged and rollback-ready.

  • Full TLS coverage and enforced HTTPS
  • Tiered key and credential rotation
  • Change logging and one-click rollback
Deliverables · hardening checklist / key ledger / rollback plan

This section covers ready-to-reuse, mature solutions and standard products; scope, timeline and commercial terms follow the proposal agreed after requirements review.


04 · Standard Products

Standard products

Standard Products

Translucent glowing cards suspended in sequence along a light band, illustrating standardised products with instant delivery
P1

Card Matrix · Instant Delivery

Delivered on order, with corporate settlement and invoicing. Includes a data-automation deployment package and custom agent applications — deliverables verifiable on the spot.

  • Delivered on order, card issued in minutes
  • Corporate settlement and invoicing supported
  • Deliverables verifiable on the spot
Deliverables · delivery card / usage guide / after-sales support
P2

Self-Maintained Hosting · Monthly Subscription

Container-cluster hosting, routine inspection, backup and alert consolidation, with a monthly failure-drill report — ordered monthly or per node.

  • Routine container-cluster inspection
  • Backup strategy and alert consolidation
  • Monthly failure-drill report
Deliverables · inspection report / drill report / on-call response
P3

Architecture Review · Specialist Consulting

An in-depth architecture check-up producing a risk register, transformation roadmap and ROI estimate; bookable per project.

  • Full check-up of the current architecture
  • Risk register and prioritisation
  • Transformation roadmap and ROI estimate
Deliverables · review report / risk register / roadmap

This section covers ready-to-reuse, mature solutions and standard products; scope, timeline and commercial terms follow the proposal agreed after requirements review.

05 · Process

Four delivery steps,
each one leaves something you can verify.

Four glowing nodes lighting up in sequence along a flowing line, illustrating the four-step delivery process from requirements to launch
STEP 01

Requirement Clarification

We get the business-side problem clear, and issue a scoped statement of work with acceptance criteria.

Deliverables · statement of work / acceptance criteria
STEP 02

Proposal & Quotation

Architecture choices, implementation path, milestones and staffing — with quotation and schedule spelled out together.

Deliverables · proposal / quotation
STEP 03

Implementation & Integration

We advance by milestone, submitting for testing and keeping records at each stage, closing issues the same day with nothing left hanging.

Deliverables · runnable system / test log
STEP 04

Go-Live & On-Call

Go-live cutover, monitoring and alerting hook-up, delivery of inspection scripts, plus an operations handover manual.

Deliverables · go-live log / handover manual
99.9%
Service availability
The level for long-running online services
Millisecond-level
Critical-path response
Latency measured by API probes
Hundred-thousand-scale
Daily processing capacity
Stable throughput for automated tasks
17 tools
Self-built plugins and tools
Flagship work is listed separately

Background: deep roots in industrial field control and high-concurrency infrastructure — our standards for availability, failure rate and response latency come straight from production systems that have run for years.


06 · Contact

Describe the problem clearly, and we can start.

Architecture review, applied AI, engineering modernization or infrastructure operations — reach us on WeChat or by email. You normally get a first assessment and scheduling advice within one business day.