Catalogs may be readable for people, but AI still has to infer product positioning, trust signals, contact paths, and store-level identity from scattered pages.
Current problemHow small online stores become easier for AI to understand and recommend
A storefront can already work for people and still be hard for AI to compare correctly. Agntbase helps small online stores add a machine-readable layer without rebuilding the shop.
A canonical profile, machine-readable website files, and a stable entrypoint so AI can read official business information instead of guessing from storefront fragments.
Practical layerPrepared website files, install guide for your webmaster, canonical hub profile, and a re-check path after the files are added.
Clear outputClear product categories, trust policies, shipping/returns, contact options, brand story, and structured business cues.
Signals AI can useKeep the current storefront. We prepare the machine-readable layer, then you or your webmaster adds it and points the site to one canonical profile instead of rebuilding the commerce stack.
Low effortAs AI assistants compare stores for users, being clearly interpreted becomes part of digital visibility, not just search ranking.
New discovery behaviorStart with the free check, then decide if you want prepared files or expert help
The practical flow is simple: check the store, review the gaps, then choose free hub inclusion, prepared file package, or expert enhancement.