Obsess AI

Obsess AI is a Shopify-native AI marketing team that learns a store's theme, products and voice, then designs pages, writes content, produces social video and fixes search issues, with every result measured to a day-28 verdict and undo available.

Obsess AI is an AI marketing team built for Shopify stores. After installation it studies the store's theme sections, product catalog, existing copy and 16 months of Search Console history, then produces finished work: designed collection, landing and home pages, blog articles, rewritten product descriptions, and short social videos. Everything is generated by frontier language, image and video models, and the product itself is never invented because only approved photos are used as source material. The target user is a merchant who needs output rather than another dashboard. The pitch sits between agencies, which are described as costly and slow, and generic AI writers, which do not know the store or its theme. Pages are composed from the theme's own sections and saved as templates the merchant owns, so no foreign page builder or iframe is involved. Copy follows a voice learned from existing text and works in 10 languages, with Swedish-language stores among the live examples. In practice, drafts appear at a real preview URL on the storefront within a day, and nothing is published without approval. After that the system picks topics from the store's own keyword profile, with a daily article as the usual cadence. A chat assistant refines any section, image or article in plain language, with each edit priced in credits. Search fixes such as retargeting and boosting can be reversed for 90 days. The distinguishing feature is measurement. Each job records a baseline at publish and returns a verdict at day 28, compared against pages deliberately left alone, including verdicts that report failure. Price, variants, inventory, cart and checkout are never AI-rendered. Compared with general-purpose writing tools or SEO suites, Obsess AI is narrower, limited to Shopify, but it executes the work in the store instead of only recommending it. Usage is metered in credits quoted before each run.