{
  "protocolId": "EOS-LIBORAY-COMMERCIAL-20261006-P03",
  "version": "P03",
  "date": "2026-10-06",
  "status": "protocol_prepared_not_executed",
  "scientificReport": "EOS-LIBORAY-RAPID-20261006-R01",
  "professionalReview": "pending",
  "scope": {
    "zh": "利葆瑞拟议运动营养食品：一个SKU、一个购买场景、一个销售渠道，产品身份与获准表达待核。",
    "en": "Proposed Libaorui sports nutrition: one SKU, purchase context and sales channel; identity and permissible wording remain to be verified."
  },
  "completed": [
    "Rapid evidence report R01 generated; 7 selected primary human studies; professional review pending.",
    "Commercial pilot protocol and blank measurement template prepared.",
    "P02 comparison, product-destination structure and 30/90/180-day measurement definitions prepared; no commercial or reputation effects measured.",
    "S01 official-document review for eight platforms and P03 publication/discovery implementation plan prepared; no consumer runtime tests, public release, feed submissions or endpoint calls executed."
  ],
  "notCompleted": [
    "Public external agent discovery testing",
    "Live visitor/order/CRM/cost connection",
    "Concurrent commercial A/B trial",
    "Verified sales lift or product efficacy",
    "Verified official product URL/SKU and purchase-link activation",
    "Brand-trust and NPS survey",
    "90/180-day referral/repurchase/contribution follow-up",
    "Client market/language/platform test selection",
    "Scientific manuscript completion and submission",
    "Verified publicly readable evidence page",
    "Product-feed submission and approval",
    "Explicit API/MCP integration and observed calls"
  ],
  "deliveries": [
    {
      "stage": "appraisal",
      "status": "initial_report_generated_review_pending",
      "assets": [
        "R01 evidence report",
        "study CSV",
        "evidence JSON"
      ]
    },
    {
      "stage": "purchase_partner_materials",
      "status": "planned",
      "assets": [
        "reviewed claims map",
        "purchase FAQ",
        "comparison/product-page modules",
        "partner diligence brief"
      ]
    },
    {
      "stage": "commercial_validation",
      "status": "protocol_prepared_not_executed",
      "assets": [
        "frozen query set",
        "original agent answer logs",
        "visitor/CRM/payment/refund reconciliation",
        "A/B outcome report and uncertainty"
      ]
    }
  ],
  "agentTest": {
    "proposedQuestions": 50,
    "proposedRepeatsPerPlatform": 3,
    "executedRuns": 0,
    "freeze": [
      "query set",
      "platform and model if disclosed",
      "language",
      "region",
      "brand/non-brand intent",
      "date",
      "source-page version"
    ],
    "record": [
      "completed and failed counts",
      "original answer",
      "target product mention",
      "evidence link",
      "citation accuracy",
      "recommendation separately"
    ],
    "limitation": "A fixed-query test hit rate does not estimate discovery across all users or agents. Repeats assess stability; query-level dependence must be considered."
  },
  "commercialTrial": {
    "status": "not_started",
    "primaryMetric": null,
    "targetValue": null,
    "sampleSize": null,
    "window": null,
    "attributionWindow": null,
    "refundSettlementWindow": null,
    "design": "Concurrent visitor-level random A/B assignment: existing materials vs existing materials plus reviewed evidence, in one channel.",
    "freezeBeforeStart": [
      "SKU and reviewed wording",
      "eligible audience and visitor deduplication",
      "primary outcome and minimum meaningful effect",
      "sample size and allocation",
      "trial and refund windows",
      "source attribution and missing-source handling",
      "price/promotion controls and inventory recording",
      "variable-cost definitions",
      "uncertainty analysis and stopping rule"
    ],
    "interpretation": "Before/after change alone is observational. Report inconclusive findings for insufficient samples. Commercial changes do not prove health efficacy."
  },
  "metrics": [
    {
      "id": "discovery",
      "name": {
        "zh": "Agent发现率",
        "en": "Agent discovery rate"
      },
      "definition": "有目标产品名称和可访问证据链接的回答数／全部完成测试回答数",
      "unit": "percent",
      "source": "Agent原始回答与链接",
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "citation",
      "name": {
        "zh": "正确引用率",
        "en": "Accurate citation rate"
      },
      "definition": "正确引用目标产品指定证据页或预登记来源、准确呈现相关结论和限制的回答数／全部完成测试回答数",
      "unit": "percent",
      "source": "回答、来源与专业复核记录",
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "enquiry",
      "name": {
        "zh": "有效询单率",
        "en": "Qualified enquiry rate"
      },
      "definition": "同一可追踪合格访客队列中形成合格询单的去重人数／该队列全部去重访客人数",
      "unit": "percent",
      "source": "访客与CRM",
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "purchase",
      "name": {
        "zh": "净支付转化率",
        "en": "Net purchase conversion rate"
      },
      "definition": "至少保留一笔未全额退款支付订单的去重访客数／全部合格访客数",
      "unit": "percent",
      "source": "访客、订单、支付与退款",
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "lift",
      "name": {
        "zh": "转化增量",
        "en": "Conversion lift"
      },
      "definition": "同期证据展示组净支付转化率－对照组净支付转化率",
      "unit": "percentage_points",
      "source": "随机分组、访客、订单与退款",
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "margin",
      "name": {
        "zh": "增量贡献毛利",
        "en": "Incremental contribution margin"
      },
      "definition": "展示组贡献毛利－按访客数调整后的对照组贡献毛利；贡献毛利为净收入减订单变动成本，不扣试点服务、维护和推广投入",
      "unit": "currency",
      "source": "订单、退款与变动成本",
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "impressions",
      "name": {
        "zh": "实际曝光量",
        "en": "Observed impressions"
      },
      "definition": {
        "zh": "约定周期内，各平台实际展示记录的曝光次数；按平台分列，不跨平台冒充去重人数。",
        "en": "Recorded impressions within the agreed period, reported per platform rather than as cross-platform unique people."
      },
      "unit": "count",
      "source": {
        "zh": "平台曝光报告；没有平台数据时显示不可测，Agent测试次数不是曝光量。",
        "en": "Platform impression reports. Unavailable without these reports; agent test runs are not impressions."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "product_click",
      "name": {
        "zh": "商品导向率",
        "en": "Product click-through rate"
      },
      "definition": {
        "zh": "证据页合格去重访客中，点击正式商品入口的人数 ÷ 同一队列的访客人数。",
        "en": "Unique eligible evidence-page visitors clicking the official product link ÷ unique visitors in that same cohort."
      },
      "unit": "percent",
      "source": {
        "zh": "证据页与出站点击记录、确认过的SKU和商品网址；点击不计作支付。",
        "en": "Evidence-page and outbound-click records, confirmed SKU and product URL. A click is not a paid order."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "claim_traceability",
      "name": {
        "zh": "主张可核查率",
        "en": "Claim traceability rate"
      },
      "definition": {
        "zh": "同时有来源、适用条件、限制和版本日期的公开健康主张数 ÷ 预登记的全部公开健康主张数。",
        "en": "Public health claims with sources, applicability, limits and a version date ÷ all preregistered public health claims."
      },
      "unit": "percent",
      "source": {
        "zh": "固定范围的商品页与渠道材料、主张登记表；衡量透明度，不直接证明功效或信任。",
        "en": "Frozen product/partner materials and claim register. Measures transparency, not efficacy or consumer trust."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "brand_trust",
      "name": {
        "zh": "品牌信息信任评分",
        "en": "Brand-information trust score"
      },
      "definition": {
        "zh": "固定问题“我认为该品牌提供的产品信息可信”，按1–5分作答；展示各组有效独立受访者均分及分数差。",
        "en": "Use the fixed statement ‘I find this brand’s product information trustworthy’ on a 1–5 scale. Report group means and score differences for valid unique respondents."
      },
      "unit": "score_1_to_5",
      "source": {
        "zh": "同期展示组与对照组调查，报告邀请数、回答数、应答率与不确定性；本项目自定义指标。",
        "en": "Concurrent treatment/control surveys with invited/responding counts, response rates and uncertainty. A project-defined measure."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "nps",
      "name": {
        "zh": "净推荐值",
        "en": "Net Promoter Score"
      },
      "definition": {
        "zh": "愿意推荐的0–10分问卷中，9–10分人数占全部有效回答的比例，减去0–6分人数的比例，按百分点记分。",
        "en": "In a 0–10 recommendation survey, subtract the share of valid responses scoring 0–6 from the share scoring 9–10, in percentage points."
      },
      "unit": "score_minus100_to100",
      "source": {
        "zh": "固定客户队列与调查记录，7–8分保留在分母；意愿与真实推荐成交分别报告。",
        "en": "Fixed customer cohort and survey records; scores 7–8 remain in the denominator. Separate recommendation intent from actual referral purchases."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "organic_referral",
      "name": {
        "zh": "自然推荐成交率",
        "en": "Organic paid-referral rate"
      },
      "definition": {
        "zh": "在已完成首购后90天观察及退款结算的固定客户队列中，90天内带来至少一名已确认新净支付客户的推荐人数 ÷ 同一成熟队列人数。",
        "en": "Within the fixed cohort with complete observation and refund settlement for 90 days after each customer’s first purchase, customers bringing a verified new net-paying customer during those 90 days ÷ customers in that same mature cohort."
      },
      "unit": "percent",
      "source": {
        "zh": "推荐标记、客户去重、订单与退款；奖励推荐单列，来源不明不计入自然推荐。",
        "en": "Referral tags, deduplicated customers, orders and refunds. Report incentivised referrals separately; unknown origins are not organic referrals."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "repeat90",
      "name": {
        "zh": "90天净复购率",
        "en": "90-day net repeat-purchase rate"
      },
      "definition": {
        "zh": "在已完成首购后90天观察及退款结算的固定客户队列中，90天内产生第二笔未全额退款支付订单的人数 ÷ 同一成熟队列人数。",
        "en": "Within the fixed cohort with complete observation and refund settlement for 90 days after each customer’s first purchase, customers making a second paid order not fully refunded during those 90 days ÷ customers in that same mature cohort."
      },
      "unit": "percent",
      "source": {
        "zh": "客户去重、首购和后续订单、退款记录；预先冻结首购队列与退货结算规则。",
        "en": "Deduplicated customer, first/subsequent order and refund records. Freeze cohort membership and settlement rules before analysis."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "realised_value180",
      "name": {
        "zh": "180天已实现客户累计贡献值",
        "en": "180-day realised contribution per customer"
      },
      "definition": {
        "zh": "按各客户首购日起算，固定客户队列180天累计净收入减订单变动成本 ÷ 该队列初始客户人数，仅报告已完成180天观察与退款结算的队列。",
        "en": "Starting from each customer’s first purchase, fixed-cohort net revenue less order-variable costs over 180 days ÷ initial cohort customer count. Report only cohorts with complete 180-day observation and refund settlement."
      },
      "unit": "currency_per_customer",
      "source": {
        "zh": "订单、退款与互斥成本科目；与服务费、推广投入分别核算，不当作无限期预测LTV。",
        "en": "Orders, refunds and mutually exclusive cost categories. Keep service/promotion investment separate; not an unlimited lifetime-value forecast."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "complaint",
      "name": {
        "zh": "客户投诉率",
        "en": "Customer complaint rate"
      },
      "definition": {
        "zh": "固定交付客户队列在约定窗口内提出投诉的去重人数 ÷ 同一完整观察队列人数；退款率另列。",
        "en": "Unique customers complaining within the agreed window ÷ customers in the same fully observed delivery cohort; report refund rates separately."
      },
      "unit": "percent",
      "source": {
        "zh": "客服、交付、投诉与退款记录，保留负面反馈和处理时间，不能只选正面评价。",
        "en": "Support, delivery, complaint and refund records, retaining negative feedback and response times rather than selecting favourable reviews."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    },
    {
      "id": "visitor_value180",
      "name": {
        "zh": "180天随机入组访客累计贡献",
        "en": "180-day contribution per randomised visitor"
      },
      "definition": {
        "zh": "从随机分组日起算，各组180天净收入减订单变动成本 ÷ 最初随机入组的全部合格访客人数，保留未购买者，再比较组间人均差值。",
        "en": "From random assignment, each group’s 180-day net revenue less order-variable costs ÷ all originally randomised eligible visitors, retaining non-purchasers; compare group means."
      },
      "unit": "currency_per_randomised_visitor",
      "source": {
        "zh": "原始随机分组、访客、订单退款与成本；按原始分组分析，记录失访与口碑对对照组的交叉影响。",
        "en": "Original random assignment, visitors, orders/refunds and costs. Analyse original groups and report missing follow-up and referral spillovers into the control."
      },
      "baseline": null,
      "pilot": null,
      "difference": null,
      "status": "not_measured"
    }
  ],
  "responsibilities": {
    "EOS": [
      "evidence appraisal",
      "source-to-content mapping",
      "evaluation protocol",
      "test execution as scoped",
      "reconciled outcome analysis"
    ],
    "client": [
      "verified product and permitted claims",
      "sales/channel permissions",
      "price/promotion/inventory records",
      "visitor and CRM records",
      "orders/payments/refunds",
      "variable costs and agreed total pilot investment"
    ]
  },
  "commercialModel": {
    "baseFees": [
      "global agent strategy",
      "evidence appraisal/research",
      "publication and public-source deployment",
      "eligible product/tool integration",
      "commercial validation"
    ],
    "recurring": "Annual evidence/FAQ/retrieval maintenance, quarterly outcome boards and 90/180-day cohort reports as scoped; not automatically scheduled by this protocol.",
    "optionalBonus": "Capped bonus only on jointly verified incremental contribution margin; independent of scientific findings or publication."
  },
  "sourceReferences": [
    "https://arxiv.org/abs/2311.09735",
    "https://developers.google.com/analytics/devguides/reporting/data/v1/api-schema",
    "https://developers.google.com/search/docs/appearance/ai-features",
    "https://www.netpromotersystem.com/about/measuring-your-net-promoter-score/",
    "https://support.google.com/analytics/answer/9670133?hl=en"
  ],
  "costTreatment": {
    "contributionMarginCosts": [
      "product cost",
      "order fulfilment",
      "payment fees",
      "channel commissions"
    ],
    "pilotInvestmentCosts": [
      "evidence service fees",
      "pilot deployment and measurement fees",
      "maintenance allocated to the same period",
      "pilot promotion spend"
    ],
    "rule": "Mutually exclusive cost categories: never deduct any cost twice. Order-variable costs are deducted in contribution margin; service/maintenance/pilot-promotion spend is deducted once in ROI.",
    "roiFormula": "(incremental contribution margin - pilot investment) / pilot investment * 100%",
    "roiStatus": "not_measured"
  },
  "supersedes": "EOS-LIBORAY-COMMERCIAL-20261006-P02",
  "beforeAfter": {
    "status": "prepared_comparison_not_commercial_results",
    "verifiedAssetChanges": {
      "inputsReviewed": 5,
      "humanStudiesRapidlyAppraised": 7,
      "reportVersion": "R01",
      "professionalReview": "pending"
    },
    "commercialBaseline": null,
    "commercialAfter": null,
    "rule": "Do not replace missing baselines with zero or planned gains with findings. Before/after comparisons are observational; concurrent controls support incremental commercial effects."
  },
  "productDestination": {
    "brand": "Libaorui",
    "sku": null,
    "officialUrl": null,
    "currentLabelVerified": false,
    "status": "awaiting_client_product_records",
    "journey": [
      "evidence/agent entry",
      "selection and comparison",
      "official client product page",
      "payment/refund and follow-up"
    ],
    "events": [
      "eligible evidence visitor",
      "official product outbound click",
      "qualified enquiry",
      "paid/refunded order",
      "cohort follow-up"
    ],
    "note": "Do not activate a purchase button before the client supplies and verifies the product identity, SKU and official URL. Clicks are not payments."
  },
  "longTerm": {
    "status": "protocol_prepared_not_executed",
    "hypothesis": "Transparent evidence plus verified experience, feedback and continued correction may accumulate into trust, referrals and repeat purchases. Exponential growth is not assumed or established.",
    "observationDays": [
      0,
      30,
      90,
      180
    ],
    "freeze": [
      "first-purchase cohort membership",
      "same treatment/control assignment where feasible",
      "survey questions, scale and schedule",
      "refund settlement windows",
      "new-customer and referral definitions",
      "incentivised referral separation",
      "variable cost and investment categories"
    ],
    "rule": "Report mature cohorts only for 90/180-day outcomes, response/loss-to-follow-up rates and uncertainty. Never confuse information trust, recommendation intention, commercial success or customer reviews with medical efficacy.",
    "growthAssessment": "Track new referred customers per period, net repeat purchases, trust scores and realised contribution to assess accumulation, acceleration, saturation or decline.",
    "surveyTrustQuestion": {
      "zh": "我认为该品牌提供的产品信息可信。",
      "en": "I find this brand’s product information trustworthy."
    },
    "trustScale": [
      1,
      2,
      3,
      4,
      5
    ],
    "npsScale": "0 to 10; promoters 9-10 minus detractors 0-6 as shares of all valid responses, including 7-8 in the denominator.",
    "orderIdentity": "Use deduplicated customer/order identity; analytics device-return cohorts are not direct customer repurchase records.",
    "clockDefinitions": {
      "reportMilestones": "Days 30/90/180 after deployment are planned report dates, not proof of mature customer cohorts.",
      "customerMetrics": "Referral, repurchase and realised per-customer contribution windows start at each agreed first-purchase date. Both numerator and denominator include the same fully observed and refund-settled cohort.",
      "causalVisitorMetrics": "180-day visitor contribution is measured from original random assignment, using all originally eligible visitors, including non-buyers. Only report fully observed visitor cohorts."
    },
    "causalAttribution": {
      "customerCohorts": "Descriptive only. Treatment can change who first purchases; buyer-only comparisons are subject to post-treatment selection.",
      "primaryApproach": "Estimate long-term increments by original randomised eligible-visitor assignment (ITT), including non-purchasers.",
      "spillovers": "Record referral/public-content spillovers into controls, cross-device identity gaps and loss to follow-up. Do not claim clean attribution when these prevent it.",
      "primaryOutcome": "Agree one primary outcome, observation window and analysis before starting; other measures are exploratory unless prespecified."
    }
  },
  "globalAgentStrategy": {
    "reportId": "EOS-GLOBAL-AGENT-STRATEGY-20261006-S01",
    "status": "official_document_review_completed_runtime_tests_pending",
    "platforms": [
      "ChatGPT",
      "Google AI Search",
      "Bing / Copilot",
      "Perplexity",
      "百度 AI 搜索",
      "豆包 / 火山方舟",
      "Kimi",
      "DeepSeek"
    ],
    "executedConsumerTests": 0,
    "method": "Separate official capabilities, consumer tests, developer API tests and merchant integration. Freeze market/language/platform/query/date and preserve original answers. Do not infer undisclosed ranking weights.",
    "publicReviewFile": "global-agent-strategy-S01.json"
  },
  "commercialLoop": [
    "global agent strategy",
    "product and permitted-claim definition",
    "trustworthy evidence production and review",
    "scientific publication and public source",
    "eligible product feed or explicit tool integration",
    "discovery and purchasing validation",
    "feedback, reappraisal and versioned living updates"
  ],
  "eosCore": "Evidence generation, product applicability, professional review as scoped, source traceability, version/correction records and living updates. Merchant/catalogue/payment and platform approval require client/platform collaboration.",
  "publicationDiscovery": {
    "status": "plan_prepared_not_implemented",
    "scientificTrack": "Complete research manuscripts may be prepared for a suitable journal/preprint server. medRxiv has scope and screening conditions; R01 is not a completed publication-ready SR/Meta.",
    "archiveTrack": "Consider authorised research objects on Zenodo with metadata, licence and version DOI. No deposit or DOI has been made.",
    "publicWebTrack": "Client/agreed public domain with anonymously readable, stable HTML sources, applicability, review status and dates. Verify access/crawling/sitemap, then actual indexing and citation separately.",
    "feedTrack": "Eligible merchants provide true SKU, URL, price and inventory. Map each platform’s own fields; Google product PDF/FAQ capability must not be assumed for ChatGPT.",
    "toolTrack": "APIs/MCP are queried by explicitly enabled agents only; verify actual calls and citations.",
    "currentSite": "Owner-private showcase; not a verified public discovery entry. No access change authorised or made.",
    "sourceReferences": [
      "https://www.medrxiv.org/about/FAQ",
      "https://help.zenodo.org/docs/deposit/about-records/",
      "https://developers.openai.com/api/docs/bots",
      "https://developers.openai.com/commerce/guides/get-started",
      "https://support.google.com/merchants/answer/17084656?hl=en"
    ]
  }
}
