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AI app

Fabric

Enriches product catalogue data and tracks how often a brand's products are cited by AI assistants like ChatGPT, Gemini and Perplexity.

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  • Paid

Listing data refreshed Built from public product pages and documentation. SourcesClaim this listing

ecommerceguide summary

Fabric enriches product catalogue data so answer engines cite a brand's products, and tracks that visibility. Merchandising Studio connects PIM, PLM, ERP and supplier data, monitors the prompts shoppers ask across ChatGPT, Gemini, Claude and Perplexity, and reports AI-driven share of traffic per product page. Enrichment draws on the Fabric Shopping 360 knowledge graph, built from millions of SKUs and informed by the Amazon and Google reference taxonomies, with teams approving changes before publishing.

Why it stands out

Pairs catalogue enrichment with monitoring of the prompts and citations a brand receives across several answer engines.

What Fabric does

ecommerceguide editorial
  • Monitors prompts and citations across ChatGPT, Gemini, Claude and Perplexity
  • Enriches attributes, FAQs, metadata and alt text from Shopping 360
  • Tracks AI-driven share of traffic on individual product pages
  • Connects to PIM, PLM, ERP and supplier systems
  • Drafts descriptions and FAQs following your brand guidelines and tone
  • Human in the loop review before new data is published
  • Vendor states 99.95% uptime across a billion API calls a year

How ecommerce teams could use it

ecommerceguide editorial

Illustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.

  1. Apparel brand whose product data sits in a PIM

    Product pages carry thin sizing and care detail, so answer engines skip them

    Intended outcomeFabric enriches attributes and FAQs against the Shopping 360 knowledge graph, with the team approving changes before publishing

  2. Home and kitchen retailer tracking discovery beyond search engines

    Merchandisers want to know which shopper prompts the catalogue answers across AI engines

    Intended outcomeMonitored prompts show citations per engine, and PDP reporting shows AI-driven share of traffic by product

  3. Multi-category brand onboarding new products from suppliers

    Incoming supplier data lacks the attributes, keywords and FAQs needed for AI answers

    Intended outcomeFabric enriches records against category reference data and activates the completed data across channels

Who it suits

ecommerceguide editorial

Best for

You merchandise a large catalogue, hold product data in PIM, PLM or ERP systems, and want enrichment plus monitoring of citations across ChatGPT, Gemini, Claude and Perplexity.

Probably not for

You need published self-serve pricing, a named platform integration such as Shopify, or a system of record PIM like Sales Layer.

Business size
EnterpriseFabric states the product is designed for enterprise scale and cites over 10 million products and attributes managed.

Fabric pricing

From the vendor

As published by the vendor. Prices change, so confirm on the vendor's site before buying.

Model
Paid
Starting price
$500

Often used alongside

ecommerceguide editorial

Categories and use cases

Alternatives to Fabric

Listings that share this one's category, platforms or use cases. Ordered by how many relationships they share, not by quality or payment.

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Sources

ecommerceguide profiles are built from public product information and written for ecommerce teams. We do not test products, and paying never changes where a listing ranks.

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