How we help
We restructure product data so AI agents can find, understand, and choose your products.
Process
We identify gaps, prioritize fixes, and optimize for agent visibility using agent-simulated analysis.
We analyze and simulate your product feed across 250+ dimensions. Every SKU gets scored on agent-readiness using the same models agents use.
You get a prioritized breakdown: what's missing, what's weak, what's blocking visibility. We identify quick wins and structural issues, with specific recommendations for each SKU.
We restructure your catalog for agent consumption — enriching content, fixing taxonomy, adding conversational context, validating attributes. This is where catalogs go from browsable to recommendable.
We help your optimized catalog connect to agentic commerce. Products become discoverable, searchable, and purchasable through AI agents.
Models
Choose the model that fits your team, timeline, and catalog complexity.
We handle everything. Audit, optimization, protocol connection, ongoing monitoring. You get results without building internal capability.
Best for
What it looks like
Your top-selling jacket has the title "Men's Waterproof Jacket - Black - XL." An agent asked "best rain jacket for commuting" never surfaces it — nothing in your data connects product to intent. After Carve, that same SKU has enriched attributes, conversational context, and use-case mapping. It surfaces for 3x more relevant agent queries. You see the lift in your dashboard within weeks.
Access the platform directly. Run audits, track agent visibility, get SKU-level diagnostics, and optimize on your own timeline. Full transparency into what agents see and what needs fixing.
Best for
What it looks like
You launch a new product line. Within days, you see exactly how AI surfaces are picking it up — which queries trigger it, how it's described, where competitors rank above you. You spot that ChatGPT is pulling the wrong material attribute from your feed. You flag it, fix it, and watch the visibility score climb. No guessing. No three-month delay before you notice.
Not sure which fits? Get in touch and we'll recommend the right approach based on your catalog, team, and timeline.
Outcomes
Regardless of which model you choose, these are the outcomes.
Products structured, enriched, and validated for AI consumption across all major platforms.
Direct integration with OpenAI ACP, Google UCP, and emerging agent commerce protocols.
Track how often your products surface in agent responses, where you're winning, and where you're losing.
SKU-level recommendations showing exactly what's missing, weak, or blocking agent recommendations.
Agent behavior evolves. Your catalog does too, with ongoing monitoring and refinement.
Early presence compounds. You're not just keeping up — you're building an advantage while others catch up.
Start with a free audit or discuss your catalog with our team.