Watch: We rewrote the alt text on Google Store's Pixel Watch 5 page. Its images went from a 30% to an 84% match.

Even the biggest tech companies can struggle with basic web accessibility. A recent scan of the Google Store's Pixel Watch 5 page revealed major gaps in its image alt text. Out of over one hundred images on the page, nearly half had no descriptive text at all. This included crucial product photos, watch faces, and health screens. Other images used generic placeholders, and one portrait of athlete Stephen Curry was mistakenly described as a phone and earbuds. To fix this, the page was run through an artificial intelligence tool called Image Optimizer. The tool analyzes each image and automatically generates descriptive text. For major content images, it runs a deep optimization process. It rewrites the description ten times, using a multimodal AI model to score each version and keep only the best match. The results were dramatic. Across the entire page, the average match between the images and their alt text jumped from thirty percent to eighty-four percent. For the main product images, the accuracy score skyrocketed from a mere two percent to over ninety percent. This shows how modern AI tools can quickly bridge the gap in web accessibility, making sure every image is clearly described for everyone.