Embedded Text on Real-World Photos Forces Google Lens to Extract Diagnostic Answers

To capture visual AI search traffic for replacement components, replace pristine white-background catalog images with real-world photography of dirty, installed parts, advises Andy Chadwick.

When an end user captures a real-world diagnostic photo of a broken dishwasher or vacuum part, the visual engine matches it against in-context images rather than pristine catalog photography.

Separately, to secure placement in top image carousels, I overlay step-by-step diagnostic text directly onto the visual of the damaged component, reveals James Dooley.

This setup enables Google Lens to extract the directions via integrated OCR alongside visual entity recognition, forcing the asset into visual search diagnostic answers.