amz-listing-indexation-audit

Listing Indexation Audit

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.

When to use this

• 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

The framework. The Indexation Matrix

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.

Root cause diagnosis table

Symptom	Likely root cause	Fix
Not indexed, term is in title	Brand-locked or prohibited claim	Review title, replace risky terms
Not indexed, term is in bullets	Bullet character limit or filter strip	Move to backend, simplify
Not indexed, term only in backend	250-byte overflow or duplicate	Re-prioritize backend, dedupe
Partial (some variants only)	Variation parent indexation issue	Update parent-level keywords
Indexed but no rank movement	Indexed but irrelevant per A9/COSMO	Improve relevance signals in copy

Step by step

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.

Output format

## Indexation Audit. [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. [...]

Worked example

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.

Quality check

• 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

Common mistakes

• 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.

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