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MEASUREMENT METHODOLOGY

Wenjian GEO Methodology: Explicit Formulas, Auditable Windows.

Visibility metrics are meaningless unless their numerators, denominators, deduplication rules, and sampling windows are documented openly. Here is how Wenjian measures AI brand perception.

FORMULA 01

Brand Mention Rate

Mention Rate = Answers Naming Target Brand ÷ Total Valid Sampled Answers in Window × 100%

Deduplication rule: Multiple occurrences of a brand within a single answer count once, preventing verbose answers from inflating visibility.

FORMULA 02

First-Position Share

First-Position Share = Answers Listing Brand First ÷ Total Answers Mentioning Brand × 100%

Position scope: Computed specifically on comparative and shortlist-style buyer prompts where ordered recommendations exist.

FORMULA 03

Source Citation Rate

Citation Rate = Answers Citing Target Domain in Footnotes ÷ Total Answers with Citations × 100%

Critical distinction: Being named in prose (Mention) and having your URL cited as evidence (Citation) are tracked as separate metrics.

Dated Benchmark Observation Scope

In cross-engine baseline research conducted by Wenjian Research (anchored to the Q3 2026 90-day observation window), sampling follows explicit parameters:

  • Chinese Category Benchmark (Q3 2026 · 90-Day Window): 30 Chinese category discovery questions sampled 60 times each within a 90-day window (1,800 answers total) across six domestic Chinese engines: Doubao, DeepSeek, Qianwen, Yuanbao, Baidu AI, and Kimi.
  • English Vendor-Discovery Benchmark (Q3 2026 · 90-Day Window): A fixed English vendor-discovery question set totaling roughly 20,000 scanned answers across a 90-day window covering ChatGPT and Google.
  • Corpus-Scale Citation Context: Across a citation corpus in the millions of records, over 90% of sampled Chinese AI answers attach web citations, while static encyclopedia entries account for <=0.6% of direct citations on buyer discovery prompts.
Disclosure: Figures reflect Wenjian first-party observational monitoring rather than third-party audits; appearance rates measure naming frequency in AI answers and do not represent product quality or client outcomes.

T+7 / T+14 / T+30 Period-over-Period Evaluation Protocol

Because LLM outputs are probabilistic and web indices evolve daily, Wenjian conducts period-over-period comparisons using fixed prompt sets and holdout control prompts rather than isolated single-query snapshots.

Baseline (T0)Prior to website or content updatesLock agreed buyer prompt map and run multi-round sampling across target engines
Initial Check (T+7)~7 days post-publicationVerify crawler indexing and monitor initial footnote citation pickup
Mid-Cycle Check (T+14)~14 days post-publicationRe-sample identical prompts to spot responsive engines and remaining gaps
Cycle Review (T+30)~30 days post-publicationFull period-over-period evaluation of citations, framing accuracy, and next-step priorities

Governance Boundaries: Three Things Wenjian Never Claims

BOUNDARY 01

No fixed-ranking promises: Generative answers rotate retrieval sources dynamically; fixed organic answer slots cannot be bought or promised.

BOUNDARY 02

No conflated attribution: When on-site updates and external media run concurrently, website upgrades are evaluated on verifiable process metrics (crawling, indexing, and domain citation pickup).

BOUNDARY 03

No unverified technical gimmicks: Rather than chasing trendy files that major search engines confirm have zero ranking or AI Overview impact, we invest engineering effort in visible factual prose and clean HTML.

LET'S TALK

Start with one concrete brand question.

You do not need a finalized GEO roadmap to begin. Share your brand, priority market, and buyer scenarios—our research and consulting team will review real AI answer observations with you to identify what matters first.

  • Modular procurement: subscribe to the Wenjian SaaS dashboard, commission a standalone audit, or run full-cycle content & communications
  • Every finding traces back to raw AI answer transcripts, cited source URLs, and timestamped screenshots
  • Transparent governance: scoped sampling windows and auditable metrics—never unsubstantiated fixed-ranking promises
Shenzhen Wenjian Intelligent Technology Co., Ltd.
Yuehai Subdistrict, Nanshan Science & Technology Park, Shenzhen, Guangdong, China
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