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Amazon Listing Optimizer

Audit, optimize, and publish Amazon listings — titles, bullets, search terms, variations, A+ Content — from your AI client, every change previewed first.

Updated Jun 25, 2026 9 min read

Amazon Listing Optimizer audits, rewrites, and fixes your Amazon listings from the AI client you already use. It reads the live catalog and your submitted listing, finds what's wrong or thin — suppressions, contradictions, weak bullets, broken variations, empty search terms, missing A+ Content — rewrites it grounded in your product's real attributes and Amazon's current rules, and publishes the approved changes straight to the listing.

You talk to it in plain language. Name an ASIN (Amazon Standard Identification Number) or SKU and say "review it," "clean up the bullets," "why is this suppressed," or "fix the whole catalog," and it takes it from there.

It runs on Kuudo's hosted infrastructure as a Skill on the Amazon Selling Partner MCP. There is nothing to deploy or operate, and nothing it writes goes live without your sign-off.

This page covers what it does, what to say, what it checks, how changes get published safely, and how it pairs with Amazon Agent Iris for images.

What it does

  • Audit — review one listing or scan the whole catalog: surface suppressions, policy warnings, contradictions, thin copy, broken variations, and missing A+ Content.
  • Optimize — rewrite titles, bullets, descriptions, and search terms grounded in the product's real attributes and the category's Amazon style guide. Fix variation scope and fill gaps.
  • Publish — write approved changes straight to the live listing, then confirm Amazon accepted and ingested them.

Audit and optimize are one conversation: review a listing, pick the fixes, preview the change, approve, publish — without leaving chat.

Example prompts

You drive it in plain language from your AI client — no tool names, fields, or APIs to remember. Replace bracketed values like [ASIN], [SKU], or [brand] with your own.

Find problems across the catalog

Surface what needs attention before you decide where to spend effort.

  • "Scan my US listings and show me which ones have problems."
  • "Which of my listings are suppressed, and why?"
  • "Find my thin listings — a single image, one weak bullet, or no description."
  • "Give me a health check on [parent ASIN] and all its variations."
  • "Which of my brand-registered listings are missing A+ Content?"

Diagnose one listing

Zoom in on a specific SKU to understand its current state.

  • "Pull up [SKU] and tell me what's wrong with it."
  • "Review the listing for [ASIN] — title, bullets, description, search terms, and images."
  • "Why isn't [SKU] showing in search? What does it need to come back online?"
  • "Is there anything in [SKU]'s copy that looks tampered with or hijacked?"

Fix the copy

Rewrite text grounded in the product's real attributes — never invented features.

  • "Rewrite the bullets for [SKU] — it only has one and it's weak. Use only what's true from the listing."
  • "The description for [SKU] has copy-pasted text from another product. Clean it up."
  • "My title is over the limit and stuffed with keywords — tighten it to the category formula."
  • "Make the bullets answer who it's for and why to buy, not just list features."
  • "There's a contradiction — the bullet says 'cast iron' but the attributes say metal. Fix it the right way."

Fix variations and the family

  • "This is a variation parent but the bullets name a specific color — fix the scope so it describes the family."
  • "Compare the parent's child ASINs to its child SKUs and find the orphan."
  • "Each child should show its own color in the main image — which ones don't?"

Search terms and SEO

  • "My backend search terms are empty — fill them from the listing and customer reviews."
  • "Audit [SKU]'s search terms: strip out brand names, duplicates, and anything over the limit."

A+ Content

  • "Does [ASIN] have A+ Content? If not, what would it add?"
  • "Audit the A+ Content on [ASIN] against Amazon's policy."
  • "Draft A+ modules for [ASIN] — lifestyle, feature callouts, and a same-brand comparison."

Check compliance before you change anything

  • "Check [SKU] against Amazon's listing rules before I touch it."
  • "Is my responsible-party address DSA-compliant?"
  • "What would suppress this listing if I submitted it as-is?"

Preview and publish

  • "Draft the cleaned bullets and show me the exact before and after."
  • "Apply the rewritten bullets and description to [SKU]." (it previews; you confirm)
  • "Patch [SKU]'s title with the tightened version."

Confirm it actually went live

  • "Did my last change to [SKU] go through, or were there errors?"
  • "Re-check [SKU] in a bit and confirm the detail page updated."

Work at scale

  • "List every suppressed listing so I can prioritize them."
  • "Rank my listings by how much a copy cleanup would help."
  • "Walk me through fixing the thinnest listings one at a time."

Most real sessions chain these together. A typical one runs: "Scan my catalog for problems" → "Start with [SKU]" → "Why is it suppressed?" → "Rewrite the bullets and fix the contradiction" → "Preview the patch" → "Confirm" → "Re-check it went live." Treat it as a conversation, not a set of one-off commands.

What it checks

When it audits a listing, it looks for the problems that actually cost you visibility and conversions, and reports them ranked by priority:

  • Active warnings and suppressions — policy errors, missing required fields, and category-specific gaps that hide the listing from search.
  • Hijacked or tampered copy — adult terms, slurs, or sabotage phrases ("do not buy," "counterfeit") injected by a compromised account or a hijacker. Flagged as a security issue to investigate, not a typo to quietly rewrite.
  • Self-contradictions — title versus bullets versus description versus structured attributes: a size mismatch, "machine washable" with a hand-wash attribute, "cast iron" on a part that can't be.
  • Thin or feature-dump copy — bullets that list specs but never say who the product is for or why to buy it.
  • Wrong variation scope — color- or size-specific copy on a parent that spans the family, or an orphaned child SKU.
  • Weak SEO — empty or keyword-stuffed backend search terms, and titles that ignore the category formula.
  • Missing A+ Content — brand-registered ASINs leaving conversion lift on the table.
  • Compliance gaps — brand-name policy, the EU DSA responsible-party address, and the rest of Amazon's hard rules.

It leads with the warning that's hiding your listing, groups the cosmetic fixes, and offers concrete next actions rather than dumping a thirty-item list.

Nothing goes live without your sign-off

Listings are public content, so every change that writes to a live listing runs the same three steps:

It won't run back-to-back edits without your say-so, and it won't "fix" a field you didn't ask about. If you request a change that contradicts the product's reality — a spec the attributes say isn't true — it surfaces the conflict and offers the correct fix instead of silently shipping something that drives returns.

Grounded in Amazon's rules

The optimizer applies Amazon's hard policy — title and bullet limits, prohibited content, suppression triggers, brand-name rules, per-category required attributes — and grounds category-specific decisions like title formulas and bullet conventions in Amazon Agent Atlas, Kuudo's indexed Amazon knowledge base. When Atlas doesn't have a rule for a category, it says so rather than inventing one.

Images: pair it with Amazon Agent Iris

The optimizer handles everything text and structure — copy, variations, search terms, A+ Content. For the image side of a listing it pairs with Amazon Agent Iris, and that pairing matters more than it looks.

Amazon's image fields don't take bytes — they take a URL Amazon fetches and copies into its CDN, so a listing image has to be generated and hosted somewhere publicly reachable. Iris does both: it generates compliant images from your real product and hosts each one at a fetchable URL the instant it's created. You skip the part that usually breaks image work — standing up a storage bucket, credentials, public-read policies, and staging — and the optimizer publishes the resulting URL straight onto the listing through the same preview-and-confirm flow.

The full motion across both reads: audit the listing → rewrite the copy → generate the missing images with Iris → check everything against Amazon's rules → publish → confirm it went live. See the Amazon Agent Iris docs for the image side, and the Rebuild Your Listing Images From Your Own Photos guide for the seeded-image workflow.

Limits and honest framing

  • You own the call. It rewrites and previews; you approve every live change. It will push back on edits that contradict the product, but the final decision is yours.
  • "Accepted" isn't "live." Amazon validates the change immediately; the detail page propagates over minutes to hours. Re-check shortly after to confirm.
  • Some fixes need you at Seller Central. Brand-approval errors and A+ rejections require a support case or a resubmission you own — it tells you exactly what to file.
  • A+ Content goes through review. Amazon reviews new A+ Content (about seven business days); rejections usually trace to competitor comparisons or promotional claims.
  • It only touches listings your account owns. Edits are scoped to the connected seller identity and marketplace.
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