Introduction

If your image alt text has been quietly doing SEO heavy lifting for your listings, that’s over. Amazon has apparently removed alt-text from the ranking algorithm without updating public docs or warning sellers. Now, the question is: how do you recover that lost indexing power and protect your ranking?


1) What Changed: The End of Alt-Text Indexing

  • Diagnosis: Image alt-text fields (ALT tags) no longer contribute to Amazon keyword indexing.
  • Reasoning: Amazon’s machine vision + image metadata now deprecate this semantic field as they rely more on image recognition models and content-context alignment.
  • You may have started losing traffic to “shadow queries”—meaning keywords no longer supported by alt-text.

Proof test: Compare old alt-text terms vs. current Brand Analytics / SQP impressions—gaps often show lost coverage.


2) SEO Levers That Still Matter (and Should Be Your Focus)

Titles & Bullets

  • Front-load your core terms (first 60 characters).
  • Use synonyms and long-tail secondary terms here.
  • Must flow naturally—bullets improve both readability and context.

Backend Search Terms

  • Still a primary hidden indexer: 250 characters per group, 5 fields (check your marketplace rules).
  • Use semicolon + space to combine terms; no ASINs or competitor brands.
  • Use “term frequency” over “term stuffing” — don’t repeat the same term multiple times.

A+ / Enhanced Brand Content

  • Densely contextual visuals + keyword-relevant captions help Amazon’s image + content models.
  • Comparison charts and feature lists increase relevancy signals.

SQP (Search Query Performance)

  • Use impressions / click / purchase share gaps to spot lost visibility.
  • Reintroduce gap keywords into title, bullets, backend as relevant.

Additional Fields

  • Subject Matter fields, intended use, target audience (where available).
  • Review keywords in early search term report and backward map them into content.

3) Auditing & Recovery: What to Do Now

  1. Keyword Gap Audit
    • Pull historical search term reports; identify terms that dropped impressions.
    • Cross-check against alt-text phrases you used—likely gaps.
  2. Content Repair
    • Edit title & bullets to reintroduce lost terms (where relevant).
    • Re-run occasional relevancy tests: remove and re-add keywords to measure impact.
  3. Backend Clean-Up
    • Remove duplicate terms.
    • Use more “flowing” semantics instead of raw p-y-n-o-s-e (e.g., “cream for dry skin overnight” vs “dry skin cream overnight”).
  4. SQP Monitoring
    • Weekly check of lost or slipping terms.
    • Restore terms into content quickly before they disappear entirely.
  5. Creative / Visual Backstop
    • Use image captions, side overlay text (if applicable) to embed relevant concepts.
    • Maintain strong main image with text cue or color cues tied to terms.

4) 30 / 60-Day Plan to Rebuild Momentum

Days 1–30:

  • Run keyword gap audit; identify lost alt-text phrases.
  • Update titles & bullets with recovered terms.
  • Clean up backend search terms (dedupe, expand).
  • Monitor SQP for returns in impression share.

Days 31–60:

  • Test A+ content updates for key SKUs.
  • Use search term harvesting to fill blind spots.
  • Monitor rank + impression curves for key terms.

Days 61–90:

  • Continue refinements; expand beyond top SKUs to long tail.
  • Reaudit term performance monthly.
  • Adjust ad targeting to reclaimed terms or new keyword opportunities.

5) Example Before / After (Hypothetical)

SKULost Alt-Text TermImpressions BeforeImpressions After RecoveryDifference
Skin Serum 30ml“anti-aging glow”25,00048,500+94%
Yoga Mat Pro“non-slip grip”18,00032,000+78%

By recovering alt-text phrases into content, you can recapture up to 60–120% of lost traffic on affected terms.


Conclusion

Just when you thought you understood Amazon’s SEO, alt-text disappears from the equation. The path forward is finding those gaps, repairing content, and building stronger relevancy through content + backend + SQP. Do that, and you’ll protect traffic, maintain rank, and stay ahead of algorithm shifts.

Recommended Posts