AI search visibility optimization
Checks product appearances for selected customer questions, improves attributes and structured content, and tracks visibility and relevant traffic. Citations are not guaranteed.
Specialized AI agents and managed workflows for ecommerce catalog teams.
Boost.space builds specialized AI agents for business roles, starting with Bob, its Product Catalog Agent. Bob combines a retailer’s catalog with selected external commerce data to identify opportunities, improve listings and carry out agreed work toward catalog revenue goals.
Agent OS provides the managed data, workflows, connections and access controls behind ongoing assignments. Teams agree an initial goal, baseline and service scope before launch, then review results after four weeks. Boost.space also offers custom agents and lets additional roles reuse approved skills and connections with separate permissions.
Checks product appearances for selected customer questions, improves attributes and structured content, and tracks visibility and relevant traffic. Citations are not guaranteed.
Evaluates competitor prices and availability against price floors, margin requirements and approval settings. ACT executes permitted updates in connected sales channels.
Researches missing details and turns incomplete supplier data into channel-ready listings. Bob flags uncertain information for team review.
Identifies promising sales channels, prepares product listings and keeps them current.
Use selected external listings, prices, and availability for catalog research. Coverage and access depend on the assignment's selected sources.
Agent OS maintains business records and connections, runs repeatable processes as reusable skills, and controls what each agent can see and do.
Catalog teams can supply examples of acceptable listings, delegate repetitive preparation and reserve review time for uncertain details and sensitive changes.
Retail teams handling frequent competitor and stock changes can start with one category, define review thresholds and assess revenue and margin against a baseline.
Commerce teams can select priority categories and customer questions, investigate products absent from AI answers and measure visibility after improving their information.
The $2,500 one-time launch includes the first assignment and baseline, training, a working workflow, scoped Agent OS services for the first month, an ROI review and team handover.
Ongoing catalog work using the managed product database requires an active Agent OS plan or replacement services. The required plan, data scope and monthly cost are confirmed before payment. Self-contained assignments may not require the complete Agent OS.
You retain the delivered agent, training, current memory, configuration and delivered custom skills. Managed database access, synchronization, connections and updates end. Export needed company records during offboarding and replace service dependencies to continue affected workflows.
The baseline and measurement method are agreed before launch. Positive ROI means the first assignment’s agreed economic benefit exceeds relevant launch and operating costs over the measurement period. Revenue, valued staff capacity and longer-term opportunity are reported separately; forecast potential is not counted as delivered results.
You can connect a supported provider account or API; Boost.space confirms the connection before launch. AI usage, hosting, paid external services and scoped external data access are separate unless included in your agreement.
Os dados de tráfego são apenas para referência.
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