案例Case Studies

基线是什么,就如实写什么Report the baseline as it is.

这里展示的是有项目范围、有日期、有样本数的可回查记录。不同品类、不同问法不能拼成一条“增长曲线”;未完成同口径复测,就只展示基线和执行路线。These are auditable records with scope, date and sample size. Different categories and queries are not merged into a growth curve; without like-for-like re-testing, we show only the baseline and execution route.

专业测试交付什么What an expert audit delivers

不是一个“排名”,而是
5 类可审计结果
Not one “rank”, but 5 auditable outputs

每次测试必须同时保留平台、问法、轮次、地区 / 语言与日期。单张截图不算结果,被提及也不等于采购认可。Every test retains platform, query, run, region / language and date. One screenshot is not a result, and a mention is not procurement approval.

01

出现率 Mention RateMention Rate

在指定问题库与测试范围内,企业名称被正确提到的比例。它是基线指标之一,不等于采购短名单或成交。The share of scoped answers that correctly mention the company. It is one baseline measure, not a procurement shortlist or sale.

02

官网地址准确性 Official-domain AccuracyOfficial-domain Accuracy

提到企业时,是否给出真实官网,还是缺少链接、指向第三方或生成错误域名。Whether a mention includes the real official site rather than no link, a third party or a fabricated domain.

03

竞品 Rival SetRival Set

同一批问法里,AI 反复提到哪些企业;这是一组答案内竞品,不直接等于现实采购竞争格局。Which companies recur across the same queries; these are answer-level rivals, not the complete real-world competitive set.

04

信源 Source SetSource Set

答案实际引用或明显依赖了哪些官网、目录、媒体与社区页面,用于定位证据缺口。Which sites, directories, editorial and community pages are cited or clearly relied on, revealing evidence gaps.

05

被提到 / 被忽略的上下文原因 ContextInclusion / Omission Context

记录答案如何描述能力、规格、市场与限制,判断是抓取、理解、匹配还是核验层出了问题。Record how answers describe capabilities, specifications, markets and limits to identify crawl, understanding, match or verification gaps.

三个实测项目Three measured projects

按品类拆开看真实基线与执行路线Scoped baselines and execution routes

同一企业不同品类可以得到完全不同的答案。下面只陈述测试文件支持的数字,并把“已验证”与“待执行 / 待复测”分开。Different categories for one company can produce very different answers. The numbers below are supported by archived test files, with verified facts separated from planned work and pending re-tests.

案例 01 · 包材代工Case 01 · Packaging
120 条可回查记录120 auditable records

妍创包装 · 香水玻璃瓶代工Yanchuang · Perfume glass bottles

8 类买家问题 × 3 平台 × 5 轮 = 120 条

0%·上线前基线pre-build baseline

已验证:120 条答案中企业出现率 0%,测试覆盖 ChatGPT、Perplexity、Gemini。
执行路线:完善香水玻璃瓶直答内容、结构化数据与实体一致性,再补独立信源。
状态:尚无同口径优化后复测,因此不宣称“已进入推荐池”。
Verified: 0% across 120 answers on ChatGPT, Perplexity and Gemini. Route: improve direct-answer content, structured data, entity consistency and independent sources. Status: no like-for-like post-build re-test, so no recommendation claim.

查看完整基线 + 执行路线 →Full baseline + route →
案例 02 · OEM / ODM 代工Case 02 · OEM/ODM
分品类测试,不混算Category scopes kept separate

妍色美妆 · 吸油纸 + 痘痘贴 OEM/ODMYanse · Oil blotting paper & acne patches

吸油纸专项 · 2026-07-21 · 40 条 · 4 平台

40 条·55.0%

吸油纸:Gemini 100%、Perplexity 70%、ChatGPT 30%、Claude 20%,官网地址准确性 100%。
痘痘贴:另有 2026-06-29 的 20 条独立基线,出现率 0%。
边界:两组样本的品类、问法和日期不同,不能相减为“提升 55 个点”。
Blotting paper: Gemini 100%, Perplexity 70%, ChatGPT 30%, Claude 20%, with 100% official-domain accuracy. Acne patch: a separate 20-record baseline dated 29 Jun 2026 was 0%. Boundary: different scopes cannot be subtracted into a growth claim.

查看完整分品类数据 →Full scoped data →
案例 03 · 软胶囊代工Case 03 · Softgel OEM
先纠偏,再建设Correct before building

东锦盛科技 · 护肤软胶囊代工Dongjinsheng · Skincare softgel capsules

2026-07-01 · 4 条基线测试 · 0/4 出现

0 / 4·待复测re-test pending

已验证:4 条基线均未出现企业,且早期定位把“软胶囊代工”和“软胶囊包装设备”混在了一起。
纠偏:“整线 turnkey”已有强势既有企业,并非无人竞争;更合理路线是护肤 / 美妆软胶囊、小批量与 OEM 到整线的分层承接。
状态:执行路线已建立,优化后复测待完成。
Verified: the company was absent from all four baseline tests, while early positioning mixed softgel manufacturing with packaging equipment. Correction: turnkey has established incumbents; the route is skincare / beauty softgels, small batches and a staged OEM-to-line offer. Status: route defined, post-build re-test pending.

查看完整纠偏 + 路线 →Full correction + route →

数据边界:一次问法 × 一个平台 × 一轮计 1 条。出现率仅对该项目范围有效;AI 答案会随平台、地区、语言与日期变化,不承诺固定排名或推荐。Data boundary: one query × one platform × one run = one record. Mention rate applies only to the stated scope; answers vary by platform, region, language and date, with no fixed-rank or recommendation promise.

先建立你的真实基线,
再决定修哪里
Build your real baseline,
then decide what to fix

25 题免费自测 →Free 25-question check →申请专业测试Request expert audit