Image Optimization

Image Optimization is the practice of reducing file sizes while preserving image quality, applying the right formats and specifications, and ensuring that images enhance rather than hinder site performance. Optimized images improve both SEO and user experience by loading faster, consuming less bandwidth, and being properly indexed by search engines.

Effective optimization involves selecting the right file types (JPEG for photos, PNG for graphics with transparency, WebP or AVIF for modern browsers), compressing images to minimize file size, and implementing responsive techniques so images adapt to various devices. Additional key steps include using descriptive filenames, writing keyword-rich alt text for SEO and accessibility, and applying loading techniques such as lazy loading for images not immediately in view.

Optimizing images is critical since they often make up the bulk of a webpage’s weight, heavily influencing Core Web Vitals and page speed. For GEO and AI-powered search, image optimization is also important because AI increasingly evaluates visual assets and their metadata. Properly labeled and accessible images help AI models interpret context and may improve the chances of being cited or referenced in generative outputs.

Best practices include compressing images without noticeable quality loss, leveraging modern formats like WebP or AVIF, implementing responsive image attributes (srcset), adding descriptive alt text, optimizing filenames with relevant keywords, using CDNs for faster delivery, and applying lazy loading to non-critical images.