fabric NEON restructures product catalog data so it surfaces correctly inside AI-driven search surfaces like ChatGPT, Perplexity, and Gemini shopping answers. The platform audits existing PDP attributes, enriches them with intent signals that LLMs parse, and tracks how often a SKU appears in generative results. Built for merchandising and ecommerce leads at mid-market and enterprise brands preparing catalogs for agentic buyers rather than traditional SEO crawlers.
> pick this if
Pick this if you're a mid-market or enterprise merchandising leader who believes a meaningful share of discovery is shifting to LLM shopping surfaces and you need a measurement and enrichment layer purpose-built for that channel.
> look elsewhere if
Look elsewhere if you're under $5M GMV, still fixing basic PDP hygiene and traditional SEO fundamentals, or if you need a full PIM of record rather than a specialized agentic-commerce layer on top of existing catalog infrastructure.
> fabric NEON is built for
- platform-agnostic
> what it does for ecommerce
- Audit catalog attributes against what LLM shopping agents actually parse
- Enrich PDP data with intent signals beyond standard SEO fields
- Monitor SKU visibility across ChatGPT, Perplexity, and Gemini results
- Activate structured data feeds consumable by agentic commerce endpoints
- Benchmark catalog readiness for AI-mediated discovery versus traditional search
> how you'd use it
- Mid-market home goods brand, $30M GMV, 4-person ecommerce team with one merchandiserAuditing 8,000 SKUs that rank well on Google but rarely surface in ChatGPT shopping answers, then enriching PDP attributes with material, use-case, and compatibility signals LLMs actually cite→ Measurable lift in SKU appearances across ChatGPT and Perplexity product queries within a quarter, tracked per category
- Enterprise apparel retailer, $200M+ GMV, 15-person digital team with dedicated PIM and SEO functionsRunning NEON alongside existing PIM to benchmark which catalog segments are agent-ready and feeding enriched attributes back into Akeneo or Salsify→ Category-level visibility scorecards for AI surfaces, letting merchandising prioritize enrichment spend on SKUs with the highest agentic traffic upside
- Mid-market specialty retailer, $15M GMV, lean team of 2 merchandisers reporting to a CMOReplacing ad-hoc SEO copywriting with structured intent-signal enrichment to compete in Gemini and Perplexity answers where paid search budget doesn't reach→ A defensible share of voice in generative shopping results for long-tail queries the brand couldn't afford to target via SEM
> fabric NEON use cases
> how fabric neon compares
bidirectional editorialSales LayerSales Layer is a full PIM with agentic AI for syndication breadth; fabric NEON is narrower, focused specifically on LLM shopping-surface visibility and measurement.freemium
- E-e-commerceGeneric ecommerce platforms manage transactions and storefronts; fabric NEON is a dedicated enrichment and tracking layer for agentic discovery channels sitting alongside them.mcp
> alternatives to fabric NEON in our index
by shared use-case- ASAmazon ShoppingMCP server that searches Amazon, scrapes specs and reviews, and compares up to 20 products via Claudemcp· 2 shared
- E-e-commercemodular skill packs for Claude Code covering ecommerce architecture and deployment workflowsmcp· 2 shared
PimberlyThe most powerful PIM platform on the planet· 2 shared
SyndigoAccelerate product onboarding with autonomous workflows directed by natural language.· 2 shared
Hypotenuse AIAI platform for ecommerce product data and contentfreemium· 2 shared
> fabric NEON pairs well with
GorgiasCovers the post-discovery conversational layer once LLM-sourced shoppers land and ask questions.
One AIOn-site conversational AI complements off-site LLM visibility, closing the agentic buyer loop.
Tidio ‑ Live Chat & AI ChatbotShared mid-market buyer adding AI chat to handle traffic arriving from generative search surfaces.