An appealing image can highlight a product while showing something the product is not. In an online store, that distinction matters: finish, quantity, accessories and proportions shape purchase expectations. Improving presentation should not quietly change those details or make the offer appear different.
Using AI to explore a setting or assist a composition requires a clear editorial decision. Which elements represent the real item? Which belong to an illustrative setting? What must someone familiar with the product verify? This guide organizes that review without assuming every generated image is suitable for a catalogue.
Establish a reference that must remain accurate
Start with the correct photograph and description, including the variant. A blue mug should not become a different shade because the composition looks more attractive. A single item should not appear to include a second piece. Record which elements belong to the product and which are styling objects.
When an image communicates relative size, choose meaningful references. Changes in perspective can suggest different proportions. If a characteristic cannot be represented reliably, use an appropriate photograph or an additional detail view rather than trying to resolve the uncertainty through text placed far away from the image.
Separate catalogue photography from illustrative scenes
A main image can present the item directly, while supporting images explain details or context. Its purpose should guide treatment. An elaborate setting does not replace the need for a view in which visitors can examine what is being offered.
Imagine a vase photographed on a table. Replacing the surrounding environment might be a visual proposal, but changing its texture, material or opening changes how the object is perceived. Review the final composition against a reference of that exact product, rather than only against a preferred brand style.
Review the rules of each intended channel
Google Merchant Center documentation requires AI-generated images to carry identifying metadata and instructs publishers to preserve digital-source information. This requirement concerns submitting material to Google’s channels. A visible caption should not be assumed to replace the required embedded metadata.
Before supplying files, check current channel guidance and how editing and export tools handle the information. An image intended for a website may pass through other systems before reaching an external catalogue. Keep provenance organized and preserve the original version so that the journey can be reviewed when needed.
Approve individual items rather than just the style
Approval of an overall art direction does not verify every product. Create a stage where the responsible person checks the variant, quantity, visible features and consistency with its description. Record corrections by filename so that a rejected image does not accidentally return to the catalogue.
AI can help draft a checklist or organize filenames, but should not be the only judge of its own output. If a feature matters to the customer’s decision, confirmation must rely on the real item and reliable information. A convincing appearance alone is not enough evidence of accuracy.
Plan the catalogue within the store project
In MissaciWeb’s E-commerce offering, catalogue scope forms part of the discussion about operations: up to 30 products in the initial format, with E-commerce+ for 31 to 100. This distinction helps size the organization work without making AI image generation an assumed deliverable.
Bring available photographs, variants, descriptions and unanswered questions to the brief. Visual presentation should help visitors understand products and find consistent information. Additional image production or treatment needs an explicit agreement based on requirements. The aim is a dependable catalogue with clear responsibility for approving what will be published.
Store planning needs a defined catalogue and purchase journey. The E-commerce and E-commerce+ scopes distinguish product quantities; any additional integration must be agreed in the proposal. Our five-stage project methodology explains how those requirements are organised before development.
A checklist to take away
- Identify the exact reference product and variant.
- Separate product components from styling objects.
- Review metadata and destination-channel requirements.
- Approve accuracy for each file before publication.
Sources and further reading
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