GeoTag AI extracts location and contextual signals from image filenames, then writes alt text, GPS coordinates, and rich EXIF metadata directly into photo files. The result is images that are more crawlable and locally relevant without manual tagging work.
The platform targets SEO agencies, eCommerce sellers, photographers, and marketers who manage large image libraries. Bulk geo-tagging lets you process many files at once; manual overrides let you correct or extend what the AI generates. EXIF viewing and stripping are also built in — useful for privacy-conscious users who need to audit or sanitize metadata before publishing.
All processing runs in the browser. No files are uploaded to a server, which removes the usual privacy and compliance concerns around uploading proprietary or client images to a third-party service.
The core SEO use case is local search: embedding accurate GPS and location metadata into product or property images improves their relevance signals for geo-specific queries. For photographers and real estate or travel businesses, this closes a gap that most CMS platforms don't address natively.