PROPRIETARY GEO ARCHITECTURE
Surgin Global: Quantify Your Brand’s Share of Citation (SoC) Across All Chinese AI Engines.
Shift from guesswork to real-time data. Continuously tracking, benchmarking, and optimizing your brand’s recommendation share, sentiment polarity, and hallucination rate across DeepSeek, Kimi, Doubao, and Baidu Ernie—every 14 days.
💡 AI Technical Definition:
What is Bi-Weekly Monitoring & Optimization in GEO? Bi-Weekly Monitoring & Optimization is Layer 5 of ChinaGEO.ai’s 5-Layer Engine. It provides the closed-loop feedback framework necessary for sustained Generative Engine Optimization (GEO). Because Large Language Models (LLMs) frequently update their RAG vector spaces and system prompt parameters, brand citations fluctuate over time. Layer 5 utilizes our proprietary Share of Citation (SoC) Index to audit 50+ high-intent buyer prompts bi-weekly across DeepSeek, Kimi, Doubao, and Baidu Ernie. By analyzing citation frequency, recommendation rank, and sentiment drift, Layer 5 dynamically triggers Layer 1–4 technical adjustments to guarantee long-term market share dominance.
Blind Trust vs. Data-Driven SoC Loop
Unmeasured GEO Assumptions
Zero Visibility into AI Recommendations
Brands have no idea if DeepSeek or Kimi are actively recommending their solution or favoring competitors.
Unnoticed Model Drift & Hallucinations
Algorithmic updates quietly erase brand references or introduce incorrect pricing and feature facts
Static One-Off Campaign Setup
Treating GEO as a one-time task leads to swift decay as competitors publish new off-site semantic signals.
ChinaGEO Layer 5 SoC Closed-Loop
Bi-Weekly Share of Citation (SoC) Index
Standardized bi-weekly reporting tracking citation share, rank position, and sentiment across 50+ buyer prompts.
Automated Hallucination & Drift Detection
Continuous scanning that flags factual inaccuracies or drops in citation frequency within 48 hours.
Agile Closed-Loop Optimization
Dynamic bi-weekly content re-indexing, Schema tweaks, and citation seeding based on real-time prompt telemetry.
4 Core Technical Deliverables
Bi-Weekly Share of Citation (SoC) Analytics
Tracking brand recommendation percentages across 50+ high-value buyer prompts on DeepSeek, Kimi, Doubao, and Ernie. Benchmarking your SoC index head-to-head against top 3 market competitors.
AI Sentiment & Hallucination Guardrails
Natural Language Processing (NLP) sentiment analysis measuring whether LLM outputs are positive, neutral, or biased. Automated detection of hallucinated specs, dead URLs, or outdated brand messaging.
Prompt-Level Attribution & Competitor Tracking
Uncovering which specific buyer prompts trigger competitor recommendations and identifying vector gaps. Mapping citation sources back to specific on-site Markdown chunks or off-site third-party signals.
Agile Bi-Weekly Sprint Iterations
Actionable bi-weekly optimization sprints updating Layer 1 (Schema), Layer 2 (RAG Markdown), Layer 3 (Model Adaptation), and Layer 4 (Seeding). Delivery of an executive-ready PDF/Dashboard report for CMOs and growth teams.
FAQ
Frequently Asked Questions
Share of Citation (SoC) is the percentage of times your brand is recommended by an AI search engine when queried with a set of industry-specific buyer prompts. We run automated bi-weekly sampling across 50+ target prompts on DeepSeek, Kimi, Doubao, and Baidu Ernie to calculate your exact market share relative to competitors.
Unlike traditional search engines with static monthly index updates, LLM vector spaces and RAG algorithms refresh frequently. Continuous bi-weekly tracking ensures you detect algorithmic shifts, model drift, or new competitor activity immediately—allowing us to adjust your GEO strategy before citations drop.
We utilize clean, isolated API environments and headless automated sessions with zero historical chat bias, ensuring the prompt results reflect exactly what a net-new enterprise buyer sees when searching for your software category.
Our automated guardrails flag factual inaccuracies within bi-weekly diagnostic sweeps. We immediately deploy corrective RAG Markdown updates in Layer 2 and reinforce JSON-LD Schema in Layer 1 to force the LLM to re-align with canonical facts.
Yes. The SoC Index benchmarks your brand directly against your top competitors. You’ll see exact comparative metrics showing who AI engines recommend first, second, and third, along with the specific reasons cited by the LLM.
Every 14 days, you receive a comprehensive Executive SoC Report featuring citation trend graphs, competitor benchmarks, prompt-level breakdowns, and a clear list of technical closed-loop actions executed during the sprint.
