About
fabric NEON is an enterprise-grade Agentic Commerce Platform built to help retailers win in the era of AI-powered shopping. As AI agents increasingly mediate product discovery, fabric enables brands to monitor, optimize, and activate their product catalogs specifically for LLM and agentic search consumption. The platform centers on three core capabilities: **Product Agent**, which streamlines product onboarding and drives agentic commerce conversion; **Monitor**, which tracks catalog visibility using custom and system prompt tracking, benchmarking, and content depth analysis; and **Activate**, which accelerates SKU onboarding and enriches product data with intent signals from leading category prompts. fabric integrates with existing commerce architectures through flexible input/output options including CSV, Shopify, ChatGPT (ACP), Universal Commerce Protocol (UCP), and product data feeds. Enterprise retailers like PetMeds have used the platform to enrich and structure product catalogs for LLM consumption, reporting significant increases in AI search visibility. fabric is designed for enterprise commerce teams, CDOs, and CTOs who want to future-proof their product data pipelines and ensure their catalogs surface prominently in AI-driven discovery channels. The platform also retains legacy modules for Order Management (OMS), Product Catalog, Offers, and Dropship.
Key Features
- Product Agent: Streamlines product onboarding and enriches catalog data to drive conversion across agentic commerce channels.
- Catalog Visibility Monitoring: Tracks how your product catalog appears in AI and LLM search results using custom and system prompt tracking, benchmarking, and content depth analysis.
- Activate with Intent Signals: Enriches product data with intent signals from leading category prompts, enabling faster SKU onboarding and better AI search performance.
- Flexible Integrations: Connects with existing commerce stacks via CSV, Shopify, ChatGPT (ACP), Universal Commerce Protocol (UCP), and product data feed integrations.
- AI Search Optimization: Structures and enriches product catalogs for LLM consumption to maximize visibility on AI-driven discovery platforms.
Use Cases
- Enterprise retailers optimizing product catalogs to appear in AI-generated shopping recommendations and LLM-driven search results.
- eCommerce teams accelerating SKU onboarding by enriching new product data with AI-generated intent signals before publishing.
- CDOs and CTOs benchmarking their catalog's visibility against competitors on AI search engines and identifying content gaps.
- Brands integrating Shopify or third-party product feeds into an AI-ready data pipeline for omnichannel activation.
- Commerce operations teams reducing manual data enrichment effort by automating product descriptions and structured data for LLM consumption.
Pros
- Purpose-built for agentic commerce: One of the first platforms specifically designed to optimize product data for LLM and AI agent-driven discovery, keeping retailers ahead of the curve.
- Enterprise-proven integrations: Works with Shopify, ACP, UCP, and CSV feeds, making it easy to layer onto existing commerce infrastructure without major re-platforming.
- End-to-end catalog intelligence: Covers the full cycle from monitoring AI visibility gaps to activating enriched data, reducing the manual effort required to maintain catalog quality.
Cons
- Enterprise pricing with no self-serve option: fabric requires a demo request with no transparent pricing, making it inaccessible for small or mid-market retailers.
- Emerging category with evolving standards: Agentic commerce is nascent, so ROI benchmarks and best practices are still being established, which may make budget justification harder.
Frequently Asked Questions
What is fabric NEON?
fabric NEON is the company's Agentic Commerce Platform, designed to help enterprise retailers monitor, optimize, and activate their product catalogs specifically for AI-driven and LLM-powered search and discovery channels.
How does fabric help with AI search visibility?
fabric structures and enriches product catalog data so it can be consumed and surfaced effectively by large language models (LLMs) and AI agents. Its Monitor module tracks how products appear in AI search prompts, while Activate enriches data with intent signals to improve rankings.
What integrations does fabric support?
fabric supports CSV imports/exports, Shopify, ChatGPT via the Agent Communication Protocol (ACP), Universal Commerce Protocol (UCP), and standard product data feed integrations.
Who is fabric built for?
fabric is designed for enterprise retailers, including CDOs, CTOs, and commerce operations teams who need to future-proof their product data strategy for AI-powered discovery.
Does fabric replace existing OMS or catalog tools?
Not necessarily. fabric can complement existing architectures. It also offers legacy modules for Order Management (OMS), Product Catalog, Offers, and Dropship for teams that want a more consolidated solution.
