Auggle turns community insights, shop details, photos, posts, and 3D product models into practical AI answers about nearby products and services.
People ask naturally. Auggle uses community posts, shop details, photos, and 3D objects to answer.
Auggle can use shop notes, product photos, and linked posts to suggest relevant options.
Menus, hours, photos, and fresh contributor updates keep the answer local and practical.
Good answers come from specific local details.
Products, services, prices, hours, vibe, must-try items.
Storefronts, menus, shelves, products, displays, proof.
Create product models from photos for richer discovery.
Availability, offers, seasonal items, changes, corrections.
Useful contributions improve answers. Better answers show what information matters next.
Fresh, accurate details earn more because they help real queries.
Approved posts earn reward points. Eligible points can convert into Auggle tokens during token cycles.
Open contribution works when quality is protected. Auggle uses AI checks, reputation, community validation, and corrections.
Posts are reviewed for duplicates, location consistency, media quality, and obvious errors before rewards are finalized.
Reliable contributors can earn more over time. Low-quality or misleading posts reduce future reward potential.
Outdated or low-quality information can be corrected so answers stay current.
Natural questions about nearby shops
Text, photos, posts, and 3D models
Rewards for useful contribution quality
Share shop insights as text, photos, posts, or 3D product models. Useful verified contributions earn reward points.