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amz-listing-indexation-audit

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Listing Indexation Audit

Listing索引审计

A listing can be fully live, Buy Box won, plenty of inventory, and still not indexed for 40% of its target keywords. Sellers throw PPC at it and wonder why organic rank never climbs. The fix is not bidding, it is indexation. The most common causes: a restricted term in backend search, a 250-byte truncation, a brand-locked variant, or a prohibited claim quietly stripped by Amazon's content filter. This audit produces a heatmap of indexed vs not indexed for the top 30 keywords plus a root-cause diagnosis per gap.
商品Listing可能已完全上线、赢得Buy Box、库存充足，但仍有40%的目标关键词未完成索引。卖家投入PPC广告却疑惑自然排名为何毫无提升。解决方法并非提高出价，而是修复索引问题。最常见的原因包括：backend搜索词中包含受限术语、250字节截断、品牌锁定变体，或是亚马逊内容过滤器悄悄移除了违规声明。本审计将生成前30个关键词的已索引/未索引热图，并针对每个差距进行根本原因诊断。

When to use this

使用场景

  • 60-90 days post-launch and organic rank refuses to move
  • PPC for a keyword performs well but the ASIN never shows organically
  • After a backend keyword edit, verifying nothing was silently stripped
  • Pre-launch sanity check, confirming indexation before scaling PPC
  • 上线后60-90天自然排名仍无变化
  • 某关键词的PPC表现良好，但ASIN从未出现在自然搜索结果中
  • 编辑backend关键词后，验证是否有内容被悄悄移除
  • 上线前合理性检查，在扩大PPC投放前确认索引状态

The framework. The Indexation Matrix

框架：索引矩阵

For each ASIN x target keyword pair, run a search on Amazon.com:
{ASIN} {keyword}
If the ASIN appears in results, INDEXED. If not, NOT INDEXED. If it appears only with quoted phrase fragments, PARTIAL.
针对每个ASIN x 目标关键词组合，在Amazon.com上执行搜索：
{ASIN} {keyword}
如果ASIN出现在搜索结果中，则标记为INDEXED（已索引）；未出现则标记为NOT INDEXED（未索引）；仅出现带引号的短语片段则标记为PARTIAL（部分索引）。

Root cause diagnosis table

根本原因诊断表

SymptomLikely root causeFix
Not indexed, term is in titleBrand-locked or prohibited claimReview title, replace risky terms
Not indexed, term is in bulletsBullet character limit or filter stripMove to backend, simplify
Not indexed, term only in backend250-byte overflow or duplicateRe-prioritize backend, dedupe
Partial (some variants only)Variation parent indexation issueUpdate parent-level keywords
Indexed but no rank movementIndexed but irrelevant per A9/COSMOImprove relevance signals in copy
症状可能的根本原因修复方案
未索引，术语包含在标题中品牌锁定或违规声明审核标题，替换风险术语
未索引，术语包含在要点中要点字符限制或被过滤器移除移至backend，简化内容
未索引，术语仅存在于backend250字节溢出或重复重新排序backend关键词，去重
部分索引（仅部分变体显示）变体父商品索引问题更新父商品级关键词
已索引但排名无变化索引成功但不符合A9/COSMO算法的相关性要求优化文案中的相关性信号

Step by step

步骤说明

  1. Build the target keyword list. Top 30 commercial-intent terms for the product. Pull from Helium 10 Cerebro, Brand Analytics top search terms, or the seller's known target list.
  2. Run the matrix. For each keyword, search "{ASIN} {keyword}" on Amazon. Log INDEXED, NOT INDEXED, or PARTIAL.
  3. Build the heatmap. Visual grid, green for indexed, yellow for partial, red for not indexed. Sort by search volume descending.
  4. Diagnose root causes. For every red row, walk through the diagnosis table. Identify the most likely cause.
  5. Check backend search terms. Edit > Keywords. Confirm under 250 bytes, no duplicate words across title and backend, no restricted terms.
  6. Check for prohibited claims. Words like "FDA approved", "best", "cure", "kills bacteria" without certification, "organic" without USDA cert. These get silently stripped from indexation.
  7. Generate per-keyword fix list. Specific, actionable. "Move 'antibacterial' to backend, remove 'kills 99% germs' from bullet 2".
  8. Run the quality check, then submit edits.
  1. 构建目标关键词列表：选取产品的前30个具有商业意图的术语。可从Helium 10 Cerebro、Brand Analytics热门搜索词或卖家已知的目标列表中提取。
  2. 运行索引矩阵：针对每个关键词，在亚马逊上搜索"{ASIN} {keyword}"，记录INDEXED、NOT INDEXED或PARTIAL状态。
  3. 生成热图：可视化网格，绿色代表已索引，黄色代表部分索引，红色代表未索引。按搜索量降序排列。
  4. 诊断根本原因：针对每个红色行，对照诊断表找出最可能的原因。
  5. 检查backend搜索词：进入编辑>关键词页面，确认字节数不超过250，标题与backend无重复词汇，无受限术语。
  6. 检查违规声明：如"FDA approved"、"best"、"cure"、无认证的"kills bacteria"、无USDA认证的"organic"等词汇，这些会被悄悄移除导致无法索引。
  7. 生成关键词专属修复列表：具体且可执行，例如“将'antibacterial'移至backend，从第2条要点中移除'kills 99% germs'”。
  8. 执行质量检查，然后提交编辑。

Output format

输出格式

undefined
undefined

Indexation Audit. [ASIN]

索引审计报告. [ASIN]

Heatmap (top 30 keywords sorted by search volume) Keyword | SV | Status | Where it appears | Diagnosis [rows]
Indexed: [N] of 30 Partial: [N] of 30 Not indexed: [N] of 30
Backend health check
  • Byte count: [N] of 250
  • Duplicates with title: [list]
  • Restricted terms detected: [list or "none"]
Fix list (ranked by SV impact)
  1. [Specific edit] - unlocks [keyword] - SV [N]
  2. [...]
undefined
热图（按搜索量降序排列的前30个关键词） 关键词 | 搜索量(SV) | 状态 | 出现位置 | 诊断结果 [行内容]
已索引：30个中的[N]个 部分索引：30个中的[N]个 未索引：30个中的[N]个
backend健康检查
  • 字节数：[N]/250
  • 与标题重复的词汇：[列表]
  • 检测到的受限术语：[列表或“无”]
修复列表（按搜索量影响排序）
  1. [具体编辑操作] - 解锁关键词[keyword] - 搜索量[SV]
  2. [...]
undefined

Worked example

示例

ASIN: B0F4XYZ123, sleep mask, 30 target keywords. Matrix run results: indexed 19, partial 3, not indexed 8.
Not indexed analysis:
  • "blackout sleep mask" (SV 14,800): in title but missing. Diagnosis: title is 187 chars, Amazon truncated. Fix: shorten title to 145 chars, prioritize this term in first 80 chars.
  • "anti aging eye mask" (SV 5,400): in bullet 4. Diagnosis: bullet has "FDA approved" claim, full bullet got filtered. Fix: remove FDA claim.
  • "silk sleeping mask" (SV 9,100): not in any field. Diagnosis: missing. Fix: add to backend search terms (uses 18 bytes).
  • 5 more similar.
Backend health: 287 bytes (over limit by 37, last 4 keywords are not indexed), 3 duplicates with title wasting 22 bytes. Cleanup recovers 59 bytes for new terms.
Fix list ranked by SV impact: 8 specific edits, total SV unlock = 67,000 monthly searches. Projected organic impression lift: 35-50% within 14 days of edit.
ASIN: B0F4XYZ123，睡眠眼罩，30个目标关键词。矩阵运行结果：已索引19个，部分索引3个，未索引8个。
未索引分析：
  • "blackout sleep mask"（搜索量14,800）：包含在标题中但未索引。诊断：标题长度为187字符，被亚马逊截断。修复：将标题缩短至145字符，在前80字符中优先放置该术语。
  • "anti aging eye mask"（搜索量5,400）：包含在第4条要点中。诊断：要点中包含"FDA approved"声明，整条要点被过滤。修复：移除FDA声明。
  • "silk sleeping mask"（搜索量9,100）：未出现在任何字段中。诊断：缺失该术语。修复：添加至backend搜索词（占用18字节）。
  • 另有5个类似情况。
Backend健康状况：字节数287（超出限制37字节，最后4个关键词未索引），与标题有3个重复词汇，浪费22字节。清理后可回收59字节用于添加新术语。
按搜索量影响排序的修复列表：8项具体编辑操作，解锁的总搜索量为每月67,000次。预计编辑后14天内自然曝光量提升35-50%。

Quality check

质量检查

  • Search performed on amazon.com logged out or in incognito (personalization off)
  • Search includes the ASIN to force-find regardless of rank
  • Backend byte count measured in UTF-8 bytes, not characters
  • Restricted terms checked against current 2026 prohibited claims list
  • Variation parent and child both checked if listing is varied
  • 在Amazon.com上以未登录或隐身模式执行搜索（关闭个性化推荐）
  • 搜索时包含ASIN，强制查找该商品而不受排名影响
  • Backend字节数以UTF-8字节为单位计算，而非字符数
  • 对照2026年最新违规声明列表检查受限术语
  • 若为变体Listing，需同时检查父商品和子商品

Common mistakes

常见错误

  • Searching by keyword only. Without ASIN you cannot tell if the listing is indexed but just ranked low.
  • Using character count for backend. Amazon uses bytes. Non-ASCII chars count as 2-4 bytes.
  • Duplicating title words in backend. Wastes the 250 bytes, no ranking benefit.
  • Ignoring partial status. Partial means a variation issue, easy to miss.
  • Not re-auditing after edits. Index updates take 24-72 hours. Re-run the matrix to confirm fix took effect.
  • 仅按关键词搜索：不添加ASIN无法区分商品是未索引还是排名过低
  • 使用字符数计算backend长度：亚马逊采用字节数统计，非ASCII字符占2-4字节
  • 在backend中重复标题词汇：浪费250字节配额，无排名收益
  • 忽略部分索引状态：部分索引意味着变体存在问题，容易被遗漏
  • 编辑后未重新审计：索引更新需要24-72小时，需重新运行矩阵确认修复生效

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