GEO Solution

Generative Engine Optimization

Knowledge · Content · Citation — get found and cited by AI search.

Overview

yunyeyuanzhi's GEO solution is for enterprises and brands losing voice in AI search—when customers ask Doubao, DeepSeek, Yuanbao, or major domestic AI search and answers cite competitors instead of you, systematic generative search optimization is needed. We package audit, strategy, content engineering, and monitoring into a verifiable delivery path—not a one-time content refresh.

Platforms Covered

GEO monitoring and optimization covers major domestic AI search and answer engines where your customers actually ask questions:

  • Doubao
  • DeepSeek
  • Yuanbao
  • Major domestic AI search and answer engines

Core Capabilities

AI semantic sovereignty

Zero-click visibility—earn preferred brand citations in AI answers instead of being absent.

Verifiable knowledge

Ground content in real, traceable enterprise knowledge—no content-farm output.

Knowledge engineering

Transform scattered enterprise materials into structured, retrievable, verifiable assets.

Content workflow

AI-assisted generation → human review → publish → structured optimization—a controlled pipeline.

Full-lifecycle delivery

Audit, strategy, content, deployment, monitoring, iteration—one-stop GEO delivery.

Continuous monitoring & iteration

Track AI search citation changes and optimize content strategy with data.

Four-Step Delivery Path

Each stage has clear deliverables and acceptance criteria. Start from audit or a pilot based on your current state, then expand coverage.

Step 1: Visibility audit

Establish citation baselines for 15–30 core business queries across Doubao, DeepSeek, Yuanbao, and major domestic AI search; compare competitor share and content gaps.

Deliverable: AI Search Visibility Baseline Report

Step 2: Strategy and knowledge engineering

Set content priorities from audit gaps; engineer product descriptions, solutions, cases, and FAQs into AI-retrievable knowledge assets.

Deliverable: Content Priority List and Knowledge Map

Step 3: Structured publishing

Publish via Schema.org JSON-LD, FAQ format, internal linking, and Insights sub-channels so AI engines understand content semantics.

Deliverable: Structured Pages and Publish Checklist

Step 4: Monitoring and iteration

Monthly re-test core query citation rates, track competitor moves, and adjust content strategy and publish plans.

Deliverable: Monthly Citation Report and Iteration Recommendations

Proven Results

An industrial weighing equipment company had no website and almost no public information beyond a few Douyin short videos. We built brand entity and selection-knowledge assets from zero across 24 decision queries; after eight weeks, brand citation rose from 0% to 38%.

Read the full case study