Canonical page: https://www.kuudo.com/solutions/amazon-product-imagery/ Solutions · product imagery # Keep every image stack accurate, complete, and on-brand. Ground every image decision in the product data and image stack Amazon is serving through the [Selling Partner MCP](/features/amazon-selling-partner-mcp/), then use Amazon Agent Iris to prepare, check, and hold accurate candidates for review. Choose [Managed MCP](/managed-mcp/), which Kuudo hosts and operates, or run it in your own [Private Cloud](/features/cloud-platforms/). [Request beta access](/contact/) [See Amazon Agent Iris](/features/amazon-agent-iris/) Current versus proposed Current image stack MainReadyDetailReadyInfographicMissingLifestyleReady Proposed image stack MainReadyDetailReadyInfographicCandidateLifestyleReady * Opportunity ASIN B0D4K8C7 · infographic view · found Aug 14, 2026 * Awaiting approval Proposed update · identity and image rules checked · no image submitted Current image stack is missing a view · found Aug 14, 2026 Method: [Product creative Skill](/features/skills/amazon-seller/product-creative/) How the work changes [See Amazon Agent Iris](/features/amazon-agent-iris/) ## Every candidate starts with the product Amazon is actually selling. Kuudo reads the live listing and image stack, works from real product material, and prepares only the missing or corrected views your catalog needs. Identity, policy, destination, and approval stay attached from source to publish. ![An Amazon image-stack health check showing ready main, detail, and lifestyle views with a missing infographic slot.](/assets/images/solutions/product-imagery-card-1.svg) ### Which image stacks need attention? Read live slot coverage, missing views, replacements, and policy risks across the catalog you choose, then prioritize the next useful image instead of checking PDPs one by one. [See Amazon Agent Iris ›](/features/amazon-agent-iris/) ![An approved and live Amazon main-image comparison showing an unexpected replacement and the time it was detected.](/assets/images/solutions/product-imagery-card-2.svg) ### Did Amazon replace an approved image? Compare the live slot with the approved stack, see when the difference appeared, and review the source and product identity before choosing a response. [See the live catalog connection ›](/features/amazon-selling-partner-mcp/) ![Product-identity checks showing the jacket shape, Coast blue color, one-item quantity, and approved logo placement as matches.](/assets/images/solutions/product-imagery-card-3.svg) ### Can it work from the real product? Ground candidates in your product photography and live facts while checking shape, color, quantity, logos, labels, and included contents against the source. [Read the Iris documentation ›](/docs/amazon-agent-iris/) ![A main-image policy check flagging a measured background value of 254 against the required 255, while product area and text checks pass.](/assets/images/solutions/product-imagery-card-4.svg) ### Will it catch policy problems? Catch avoidable technical and policy failures before submission, keep every verdict visible, and leave Amazon's final acceptance decision accurately framed. [See image checks in Iris ›](/features/amazon-agent-iris/) ![Main, detail, and infographic candidates shown with their review states, exact Amazon slots, and publishing held for approval.](/assets/images/solutions/product-imagery-card-5.svg) ### Does our team approve each destination? Review the real source, candidate, checks, intended Amazon slot, and publishing state together. Nothing is submitted until the configured approval is present. [Review available image actions ›](/docs/mcp-reference/amazon-sp-tools/) ![A two-pack title conflicting with a source image of one jacket, blocking image work and routing the catalog data to listing optimization first.](/assets/images/solutions/product-imagery-card-6.svg) ### What if the catalog data is wrong? An accurate image cannot repair a contradictory title, attribute, pack count, or variation. Route the underlying product-data conflict to listing optimization first. [See the listing optimization handoff ›](/solutions/amazon-listing-optimization/) Make it yours [Explore Amazon Agent Iris](/features/amazon-agent-iris/) ## Bring live catalog health and creative review into one workspace. Choose the coverage standard, required views, brand checks, and review roles. Keep each candidate tied to real product material and the current Amazon destination instead of passing anonymous files between tools. ![A catalog image-health view showing ASIN-level slot coverage, unexpected replacements, policy state, and the next recommended image view.](/assets/images/solutions/imagery-catalog-health.svg) ### See image health across the catalog Live catalog Find thin stacks, changed slots, and policy risks across the selected ASINs. Each row identifies the next useful view without inventing a conversion claim. [See how Iris handles image work ›](/features/amazon-agent-iris/) ![An image approval workspace pairing a real jacket source photo and proposed candidates with live listing data, identity and policy checks, target slot, and awaiting-approval state.](/assets/images/solutions/imagery-approval-workspace.svg) ### Review the source, candidate, checks, and slot together Live product facts constrain the creative work. If those facts conflict with the source image, the workflow stops and sends the catalog correction to listing optimization. [See listing optimization ›](/solutions/amazon-listing-optimization/) Where it runs [See every supported client](/features/ai-clients/) ## Use the client your imagery team already has open. Live Amazon context, real product sources, image checks, and approval state stay consistent across chat, agent, workflow, research, and IDE clients. [ /chat ![ChatGPT logo](/assets/images/chat/chatgpt.svg) ### ChatGPT Ask which stacks are thin or changed and review candidates beside the live product context. View quick start ](/docs/quick-start/chatgpt/)[ /chat ![Claude Desktop logo](/assets/images/chat/claude-color.svg) ### Claude Desktop Inspect sources, identity checks, policy verdicts, and target slots through the same scoped connections. View quick start ](/docs/quick-start/claude-ai/)[ /agent ![OpenClaw logo](/assets/images/workflow/openclaw-color.svg) ### OpenClaw Hand off recurring image-health checks while every public image submission remains behind approval. View quick start ](/docs/quick-start/openclaw/)[ /workflow ![n8n logo](/assets/images/workflow/n8n.svg) ### n8n Schedule catalog monitoring and route candidate reviews into the creative workflow your team already runs. View quick start ](/docs/quick-start/n8n/)[ /ide ![Codex logo](/assets/images/code/codex-color.svg) ### Codex Maintain brand-specific image rules and asset workflows beside the code that governs them. View quick start ](/docs/quick-start/codex/)[ /research ![Perplexity logo](/assets/images/chat/perplexity-color.svg) ### Perplexity Investigate catalog image questions from private live context instead of inferring from public results. View quick start ](/docs/quick-start/perplexity/) Frequently asked questions [See the listing optimization solution](/solutions/amazon-listing-optimization/) ## Questions from Amazon imagery teams. How live listing context grounds new assets, what gets checked, and what always waits for review. Does this replace our creative team? + No. It gives the team a repeatable workflow for catalog health, candidate creation, checks, and approval. Your creative owner still decides what represents the product and which asset belongs in each Amazon slot. Can it detect when a live image changes? + Yes. It can compare the live image stack with the set your team approved and identify an unexpected replacement, missing view, or changed destination slot for review. Can it work from our real product photos? + Yes. Candidates start from product photography you supply and facts from the live listing. The workflow is designed to build from real product material, not invent features, accessories, labels, or claims. Will it preserve product identity? + It checks product shape, color, quantity, labels, logos, and included contents against the source material and listing facts. Human review remains required because automated checks cannot detect every form of visual misrepresentation. Does a policy pass guarantee Amazon will accept the image? + No. Policy and geometric checks reduce avoidable rejection, but Amazon makes the final acceptance and display decision. Kuudo keeps the verdict, caveats, and publishing state visible instead of calling a checked image guaranteed. What if the image conflicts with the title, pack count, or variation? + The underlying catalog conflict routes to listing optimization. Another generated image cannot repair contradictory title, attribute, quantity, or variation data, so the product facts get corrected first. Can the workflow use SQP, Ads, or returns signals? + Yes. Search Query Performance, Ads, and returns signals can help prioritize which listing or view deserves attention while the live product facts and approved source material continue to constrain the asset. Guides ## See how live product data becomes a reviewable image set. Start with real product material, check identity and policy, route catalog conflicts correctly, and publish only the candidates your team approves. [View all guides](/guides/) [ Seller · Listings ### How to Create Amazon Listing Images From Photos How to create Amazon listing images from real photos: preserve product facts, check variants, review batches, and approve images before submission. ![Kuudo](/assets/versioned-images/logo.fd1684585a8c1070.svg) Thomas Spicer 9 min read Jun 25, 2026 ](/guides/seller-listing-image-regeneration-seeded/)[ Seller · Listings ### Amazon Listing Suppressed: Diagnose the Cause Amazon listing suppressed or stranded? Read live buyability, discovery status, suppression reasons, and FBA evidence before applying a reason-specific fix. ![Kuudo](/assets/versioned-images/logo.fd1684585a8c1070.svg) Thomas Spicer 7 min read Jul 30, 2026 ](/guides/seller-listing-suppression-diagnosis/)[ Vendor Central · Operations ### Automate Amazon Vendor Listing Quality Checks Audit Amazon vendor listing quality across a catalog: prioritize ASINs, resolve product type schemas, and propose validated writes for policy approval. ![Kuudo](/assets/versioned-images/logo.fd1684585a8c1070.svg) Thomas Spicer 12 min read Aug 25, 2026 ](/guides/vendor-listing-quality-automation/) The bottom line ## The image on Amazon should still be the image your team approved. Monitor every selected stack, prepare missing views from real product material, and give your team the source, checks, destination, and publishing state in one review. [Get started free](/contact/) [Compare Kuudo with Pixii](/compare/kuudo-vs-pixii/)