Amazon A+ Content Design: A Product-Photo Workflow for Modular Images

Quick workflow: product facts → module plan → assets → preview

Start with approved photos and specifications. Give each module one job, prepare coordinated assets, keep factual text separately editable, and inspect Amazon's desktop and mobile previews before submitting.

The handoff is deliberate: Ciyo helps create and review visual assets; the seller or campaign owner confirms the selected Amazon module and its current requirements. If a preview reveals a crop or reading problem, return to that asset instead of rebuilding the whole story.

1. Confirm the module you can actually use

Amazon distinguishes Basic A+, Brand Story and Premium A+. Its public guide describes Professional selling-plan and Brand Registry requirements for Basic, with additional eligibility for Premium. Confirm the options available to your account before planning a feature that depends on a different tier.

Select the actual module before choosing a crop size. A generic landscape image is not automatically the right size for every module. Read the dimensions and constraints in the current module editor and record them in the creative brief.

Amazon's guide advises separating text from images for mobile readability and checking both desktop and mobile previews. Apply those requirements to the final configuration rather than assuming that a large canvas preview proves the asset will fit.

• Amazon's A+ design and requirements guide

2. Assign one buyer question to each visual

For a fictional ceramic mug, useful questions might be: what does the piece look like, what visible detail distinguishes it, how large is it, and which variant should I choose? Use only facts supplied by the product owner; do not infer capacity, care instructions or material claims from an image.

Give the opening visual a clear identity job. Use a detail image to answer a different question. Add a comparison only when real variants have meaningful verified differences. Repeating the same product photo against three decorative backgrounds adds visual variety without necessarily adding information.

3. Prepare a coherent asset set in Ciyo

Bring the approved source photos into one isolated project. Keep a visible original and label each candidate by its intended module purpose. Use a shared palette, lighting direction and product identity while allowing the compositions to answer different questions.

Ask for one module asset first. Inspect the product, crop and background before expanding to the others. If a background edit changes the handle or finish, return to the original; consistency across inaccurate images is not a successful result.

Prepare one visual asset for an A+ content module using the attached authorized product photo. Buyer question: [QUESTION]. Selected module dimensions: [WIDTH × HEIGHT, VERIFIED IN AMAZON]. Preserve the real product's visible shape and details. Use [PALETTE / BACKGROUND] consistently with the approved hero asset. Leave factual copy as separate editable text or supplied copy; do not invent specifications, badges, ratings or certifications. Return a candidate for review, not an automatically submitted listing.

• Product-background editing
• Plan image aspect ratios

4. Review the complete sequence and each individual file

Place the candidates in reading order. Check whether the product color, handle direction and finish remain consistent. Then inspect each asset at its intended size, including small details and any text rendered into the image.

Keep the approved copy in a source document or text field where it can be proofread. A generated label or dimension is not authoritative. If the visual contains factual lettering, compare every character with the approved source.

Export the required files and reopen them. Confirm dimensions, file format and size against the current module's requirements. Avoid repeated resaving that makes small details harder to inspect. Retain the original source and a record of which export was accepted.

5. Complete the Amazon preview and handle failures

In Amazon's A+ tools, populate the selected modules with accepted images and approved text. Review both preview sizes. Check that the sequence still makes sense when modules stack and that a crop has not removed the detail the text refers to.

If a file fails validation, use the stated requirement to correct that file. If the preview is technically valid but confusing, revise its purpose or hierarchy. Technical acceptance and a useful product story are separate checks.

A solo seller can begin with a small set that answers the most important questions. A team can scale by reusing the brief and approval record, while checking the real specifications and assets for each product. Do not replicate an unreviewed generated claim across a catalog.

• Create a factual product comparison
• Review product-photo accuracy

Worked example: prepare a concept asset with room for module copy

We attached the fictional mug source and requested a text-free breakfast-table image in Ciyo. GPT Image 2.5 Sunburst, High quality and a 3:2 request displayed a six-credit quote and returned a 1248 × 832 concept image.

The result keeps the mug visible on the right and leaves quieter space on the left. This demonstrates asset preparation. It is not a Seller Central module preview, an approved Amazon listing or proof that the image meets a particular module's current dimensions.

For a real A+ page, fit the accepted source into the chosen module, enter accessible copy separately, and use Amazon's desktop and mobile previews before submission.

Copy the handoff recipe for the next product

Keep the module plan, source files, approved text and accepted exports together. Assign one person to own product facts and another, where possible, to review the final preview. If either input is missing, leave that module in draft.

Product / variant:
Amazon account and selected module:
Verified dimensions / file requirements:
Buyer question:
Authorized source photo:
Approved factual copy:
Allowed visual changes:
Ciyo candidate and accepted export:
Desktop preview result:
Mobile preview result:
Reviewer and decision:
Submission status, recorded separately: