Ecommerce
AI-generated or AI-enhanced product photos create a specific, practical risk: the item you receive doesn't match the image, because the image was never a photo of that specific item.
Buyer's checklist
Real product shoots show the same unit from multiple angles with consistent lighting, scuffs and manufacturing marks. AI-generated sets often show subtly different proportions or details between "angles" of the supposedly same item.
Generated images frequently distort small text, warp logos, or render care labels and packaging text as plausible-looking gibberish — a strong, specific tell that's rare in real photography.
Real buyer photos are the best independent evidence a seller actually ships what the listing shows. A brand-new listing with only studio-perfect images and no buyer photos deserves more scrutiny.
If the exact image appears across dozens of unrelated stores selling different brand names, it's a stock or generated asset being reused, not a photo of that seller's actual stock.
Seller's side
AI-generated backgrounds, lifestyle scenes and lighting enhancement around a real photographed product are common and generally fine when the product itself is represented accurately. It becomes misrepresentation when the AI-generated or AI-altered image changes the product's actual appearance, material, color, or included contents — features a buyer would reasonably rely on. Marketplaces increasingly require disclosure for fully AI-generated product imagery; check the specific platform's policy before listing.
Check it here
The homepage checker reads embedded metadata and runs error-level analysis on any image you drop in — useful for a first pass on a listing photo before you rely on it, alongside the checklist above.
Worked example
A listing shows a "genuine leather jacket" with four studio-quality angle shots, all with identical, unusually perfect stitching and a slightly-too-symmetrical collar. Reverse-searching the main image returns matches across six unrelated stores, each selling the same photo under a different brand name and price. Zooming into the interior tag shows text that's almost legible but not quite — a common generation artifact on small printed text. None of these three signals is individually proof, but together they describe a specific, common pattern: a dropshipping listing using a shared AI-generated or stock image rather than a photo of the seller's actual inventory. A buyer who checks review photos before purchasing — genuine buyer-submitted images tend to show the item's actual variation, wear and packaging — gets the clearest signal of what will really arrive.
Policy landscape
Several major marketplaces have introduced or announced policies requiring sellers to disclose AI-generated or AI-substantially-altered product imagery, particularly where it could misrepresent color, material, size or included contents. Policies and enforcement vary significantly by platform and change often — when in doubt, check the specific marketplace's current seller policy rather than assuming a blanket rule.
FAQ
Not inherently — the legal and policy risk comes from misrepresenting the actual product's material, appearance or condition, not from using AI tools in the image pipeline generally.
Reverse image search the main listing photo and read reviews that include buyer-submitted photos — both take under a minute and catch most reused or generated listing images.
Yes — drop it into the homepage checker for embedded metadata and error-level analysis, same as any other image.