TECHNICAL · SEO GLOSSARY
Visual Search SEO
Optimisation for image-based search systems — Google Lens, Google Images, Pinterest visual search, and Bing Visual Search — covering ImageObject schema, alt text, image file naming, WebP format, and structured data for visual discovery.
Definition
Visual search SEO covers the technical and content optimisation strategies for image-based search systems where users search using images rather than text queries. The primary visual search surfaces: (1) **Google Lens**: image recognition allowing users to search with their camera — Google identifies objects, scenes, and visual patterns in real-world images and returns related web content. For photographers and product-based businesses, Lens-indexed images with descriptive `ImageObject` schema and alt text create an additional discovery channel; (2) **Google Images**: the text-based image search within Google — images with descriptive alt text, relevant surrounding page content, and `ImageObject` schema rank in Google Images for relevant visual queries. `acquireLicensePage` in `ImageObject` schema enables the "Licensable" filter badge in Google Images; (3) **Pinterest visual search**: Pinterest\'s Lens feature allows visual search within Pinterest — businesses with active Pinterest boards and well-described image pins drive visual search discovery on Pinterest, particularly for home décor, fashion, wedding, and lifestyle verticals; (4) **Bing Visual Search**: Microsoft\'s image recognition system — relevant for businesses with strong Bing search presence. Common visual search SEO optimisation: descriptive alt text, keyword-relevant image filenames, `ImageObject` schema with name/description/author, WebP format for performance, and correct image dimensions preventing CLS.
Why it matters for SEO
Visual search is growing as mobile camera search (Google Lens via the Google app\'s camera button) becomes an increasingly common behaviour for product research, venue discovery, and visual inspiration. Businesses with well-optimised image content gain visibility in visual search channels that complement and extend text search visibility.
How DeepSEOAnalysis checks this
DeepSEOAnalysis validates `ImageObject` schema presence on image-heavy pages, checks alt text completeness and descriptiveness, verifies image format optimisation (flags JPEG/PNG for large images where WebP would improve LCP), and confirms structured data is server-rendered.
Useful tools and resources
GLOSSARY
Related terms
technical
ImageObject Schema
Schema.org `ImageObject` structured data for individual images — declaring image name, description, content URL, thumbnail, author, creator rights, and date created to support Google Images rich results and AI image search citation.
Read definition →technical
Google Lens SEO
Optimisation for Google Lens image recognition — ensuring images on business websites are well-indexed in Google Images with descriptive metadata, ImageObject schema, and visual context signals that help Lens identify and surface the content when users photograph related scenes or objects.
Read definition →technical
Alt Text SEO
Optimisation of HTML `alt` attributes on images for search engine understanding and accessibility — covering descriptive alt text writing, keyword relevance, location signals for local SEO, alt text length best practices, and decorative image handling.
Read definition →technical
Photographer SEO
SEO strategy for photography businesses — covering ImageObject schema for portfolio images, alt text optimisation for visual content, local search for wedding and portrait photographers, Core Web Vitals on image-heavy portfolio websites, and visual search via Google Lens.
Read definition →technical
Photography Schema
Schema.org structured data for photography businesses and photographic content — combining `LocalBusiness` for the business entity, `Person` schema with `hasCredential` for the photographer, `ImageObject` for portfolio images, and `PhotographAction` for photographic work.
Read definition →See how your site scores on Visual Search SEO.
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