Artificial intelligence is rapidly changing the way images and marketing materials are created online. With modern generative AI tools capable of producing highly realistic images in seconds, it has become increasingly difficult to determine whether a product advertised online actually exists in the real world.
From elaborate crystal mugs to furniture made of glowing glass or carved gemstones, AI generated visuals can make products appear extraordinary. In many cases, however, these products either look very different when delivered or never existed in the first place.
For investigators, journalists, and consumers alike, recognizing AI generated product imagery has become an important digital verification skill. As synthetic media becomes more common, the ability to distinguish authentic images from generated visuals is now part of modern open source intelligence research.
Why AI Generated Product Listings Are Increasing
Generative AI tools such as image diffusion models allow anyone to create professional looking product visuals without producing a physical item. What previously required product photography, studio lighting, and graphic design can now be created in seconds with artificial intelligence.
This technology has created new opportunities for creative design and advertising. However, it has also made it easier for online sellers to advertise products that do not exist or exaggerate the appearance of a real item.
Investigators are increasingly encountering AI generated product images across online marketplaces, social media advertisements, and drop shipping websites. Understanding how these images are created can help researchers quickly recognize potential deception.
Source
Bellingcat. Detecting AI Generated Products Online
https://www.bellingcat.com/resources/2025/03/25/detecting-ai-products/
Common Signs a Product Image May Be AI Generated
Even though generative AI continues to improve rapidly, the images it produces often contain subtle inconsistencies. Recognizing these patterns can help investigators identify synthetic imagery.
Unrealistic Materials or Designs
AI generated products often feature materials that appear beautiful but unrealistic for everyday use. Examples include glowing crystals, delicate glass furniture, or complex carved surfaces that would be extremely difficult or expensive to manufacture.
If the product design appears physically impractical or unusually intricate, it may indicate the image was generated digitally rather than photographed.
Inconsistent Details Across Images
AI tools can generate convincing individual images but often struggle to maintain consistency between multiple images of the same object.
Investigators should review product listings carefully to determine whether the object looks identical in each photo. Patterns, textures, shapes, and lighting should remain consistent across all images.
Listings that contain only one dramatic image or multiple images that appear slightly different may indicate synthetic content.
Visual Distortions or Artifacts
AI generated images frequently contain small distortions that may not be immediately noticeable.
These can include warped textures, unusual reflections, unrealistic lighting patterns, or objects that blend into one another in unnatural ways. Some images may appear extremely sharp or visually perfect in a way that feels artificial.
Researchers studying synthetic imagery note that these subtle artifacts are often the strongest indicators of AI generated visuals.
Source
Bellingcat. Testing AI Image Detection Tools
https://www.bellingcat.com/resources/2023/09/11/testing-ai-or-not-how-well-does-an-ai-image-detector-do-its-job/
Missing Product Specifications
Legitimate product listings typically include clear specifications such as dimensions, materials used, and detailed photos from multiple angles.
Listings that rely heavily on visually striking images but provide very little practical information should be reviewed carefully. Some sellers also include disclaimers stating that images are for illustration purposes only.
Unrealistic Materials or Designs
AI generated products often feature materials that appear beautiful but unrealistic for everyday use. Examples include glowing crystals, delicate glass furniture, or complex carved surfaces that would be extremely difficult or expensive to manufacture.
If the product design appears physically impractical or unusually intricate, it may indicate the image was generated digitally rather than photographed.
Inconsistent Details Across Images
AI tools can generate convincing individual images but often struggle to maintain consistency between multiple images of the same object.
Investigators should review product listings carefully to determine whether the object looks identical in each photo. Patterns, textures, shapes, and lighting should remain consistent across all images.
Listings that contain only one dramatic image or multiple images that appear slightly different may indicate synthetic content.
Visual Distortions or Artifacts
AI generated images frequently contain small distortions that may not be immediately noticeable.
These can include warped textures, unusual reflections, unrealistic lighting patterns, or objects that blend into one another in unnatural ways. Some images may appear extremely sharp or visually perfect in a way that feels artificial.
Researchers studying synthetic imagery note that these subtle artifacts are often the strongest indicators of AI generated visuals.
Source
Bellingcat. Testing AI Image Detection Tools
https://www.bellingcat.com/resources/2023/09/11/testing-ai-or-not-how-well-does-an-ai-image-detector-do-its-job/
Missing Product Specifications
Legitimate product listings typically include clear specifications such as dimensions, materials used, and detailed photos from multiple angles.
Listings that rely heavily on visually striking images but provide very little practical information should be reviewed carefully. Some sellers also include disclaimers stating that images are for illustration purposes only.
Source
ABC News. How to Spot Fake or AI Manipulated Images
https://www.abc.net.au/news/2024-09-13/how-to-spot-a-fake-image-ai-manipulation/103646188
OSINT Techniques Investigators Can Use to Verify Product Images
Open source intelligence methods are extremely effective for evaluating suspicious product listings. Investigators can apply several verification techniques to determine whether an image is authentic.
Reverse Image Searching
Open source intelligence methods are extremely effective for evaluating suspicious product listings. Investigators can apply several verification techniques to determine whether an image is authentic.
Reverse Image Searching
Reverse image searching allows investigators to determine whether the same image appears elsewhere online.This technique can reveal whether a product image has been reused across multiple websites or advertising campaigns.
Common reverse image search tools include
Google Images
https://images.google.com
Bing Visual Search
https://www.bing.com/visualsearch
Yandex Images
https://yandex.com/images
TinEye
https://tineye.com
Using multiple platforms can produce more accurate results because each search engine indexes images differently.
Source
Bellingcat. Guide to Reverse Image Search for Investigations
https://www.bellingcat.com/resources/how-tos/2019/12/26/guide-to-using-reverse-image-search-for-investigations/
Checking Metadata and Image Properties
When investigators download images from suspicious listings, reviewing the file properties can sometimes reveal useful information. Metadata may show whether the image was edited or generated using digital tools.
While many platforms strip metadata, examining the image file is still a useful investigative step.
Tools investigators often use include
ExifTool
https://exiftool.org
Jeffrey’s Image Metadata Viewer
http://exif.regex.info
Reviewing the Seller’s Digital Footpring
Evaluating the seller behind a product listing can provide additional context. Investigators should review the business website, social media presence, customer reviews, and domain registration history.
Red flags may include newly created storefronts, minimal customer feedback, or identical product images appearing across multiple unrelated stores.
Tools commonly used for this step include WHOIS domain lookup services
Company registration databases
Business review platforms
Why AI Generated Content Matters for Investigators
AI generated images are part of a larger category known as synthetic media. This includes deepfakes, AI generated imagery, and other computer generated content designed to imitate authentic media.
Synthetic media is increasingly appearing in online advertising, misinformation campaigns, and fraudulent schemes. As these technologies improve, investigators will need to rely more heavily on verification techniques and open source intelligence methods.
Understanding how AI imagery works helps investigators identify digital deception before it spreads or causes harm.
Source
Deepfake Synthetic Media Overview
https://en.wikipedia.org/wiki/Deepfake
Final Thoughts
AI generated product images are not inherently harmful. In fact, many companies use them responsibly for concept design and marketing visuals.
However, when synthetic imagery is used to mislead buyers or promote products that do not exist, it becomes a form of digital deception.
By examining image details carefully, using reverse image search tools, and evaluating the digital footprint of online sellers, investigators and consumers can better protect themselves from misleading product listings.
As artificial intelligence continues to evolve, verification and critical thinking will remain essential skills for navigating the digital world.