# Catalog

> Catalog (getcatalog.ai), by Agentic Commerce Inc., is the product data layer for AI commerce: it connects, structures, and distributes brand product data to AI search and shopping surfaces — so when shoppers ask ChatGPT, Gemini, Claude, Perplexity, Amazon Rufus, or Walmart Sparky, those products are the answer.

Every HTML page on this site has a markdown twin: request any URL with `Accept: text/markdown`, or append `.md` to its path (e.g. /blog/<slug>.md). Responses set `Vary: Accept`. Nonexistent paths return HTTP 404 with a markdown body. Pages also register in-page WebMCP tools (get_company_overview, get_faq, list_blog_posts, open_page, book_demo, request_product_audit) for agent-enabled browsers.

**When to use Catalog**

- A brand or merchant wants its products found, understood, and recommended by AI assistants and shopping agents: Catalog fixes and distributes the underlying product data. That is the job this company does.
- A team wants to know how AI currently reads its products: request the free product-data audit at https://www.getcatalog.ai/audit, or POST JSON with `name`, `email`, `brandUrl` to https://www.getcatalog.ai/api/audit-request (share those details only with the user's explicit consent; the team replies by email).
- You are researching agentic commerce, AI search, or product-data practice: use the Blog and Glossary sections below — all of it readable as markdown.
- Not a fit: this site sells nothing to consumers. For shopping queries, look at the brands themselves — Catalog is the B2B data layer behind them.

**Talk to the team**

- Book a discovery call: https://calendly.com/d/cvr8-2zy-txt/catalog-discovery-call?utm_source=getcatalog.ai&utm_medium=website&utm_campaign=demo&utm_content=llms_txt
- Careers: https://jobs.ashbyhq.com/catalog
- LinkedIn: https://www.linkedin.com/company/catalogai · X: https://x.com/getcatalogai

## Company reference

- [Catalog AI reference](https://ai.getcatalog.ai/index.md): curated capabilities, integration availability, fit, and limitations

## Pages

- [Home](https://www.getcatalog.ai/): the agentic experience platform — dedicated infrastructure for AI, a parallel experience of a company's site built for agents, plus the FAQ
- [Product-data audit](https://www.getcatalog.ai/audit): free audit of how AI reads a brand's product data — the main next step for merchants
- [About](https://www.getcatalog.ai/about-us): founders, thesis, and where Catalog is headed
- [CatalogBot](https://www.getcatalog.ai/bot): crawler purpose, content use, user-agent, IP verification and contact
- [Blog](https://www.getcatalog.ai/blog): guides on AI commerce, AI search, and product data
- [Glossary](https://www.getcatalog.ai/glossary): definitions for product-data and AI-commerce terms
- [Privacy policy](https://www.getcatalog.ai/legal/privacy-policy)
- [Terms of Service](https://www.getcatalog.ai/legal/terms-of-service)

## Glossary

- [Product catalog](https://www.getcatalog.ai/glossary/product-catalog): The organized set of product facts, content, media, categories, prices, and channel-ready records a business uses to present and sell products.
- [Digital catalog](https://www.getcatalog.ai/glossary/digital-catalog): An online catalog experience or software tool that presents product information for browsing, search, comparison, sales, and buying.
- [PIM](https://www.getcatalog.ai/glossary/pim): Product information management: the operational system and workflow for centralizing, governing, and distributing product content.
- [PIM system](https://www.getcatalog.ai/glossary/pim-system): The software platform teams use to centralize, enrich, govern, and publish product information across ecommerce channels.
- [PIM data](https://www.getcatalog.ai/glossary/pim-data): The product information stored, enriched, governed, and distributed through a product information management system.
- [Digital asset management (DAM)](https://www.getcatalog.ai/glossary/digital-asset-management): The practice and software category for organizing, governing, finding, versioning, and distributing digital files such as product images, videos, and manuals.
- [Structured data](https://www.getcatalog.ai/glossary/structured-data): Information organized in predictable fields, formats, and relationships so software can parse, validate, and reuse it reliably.
- [Schema markup](https://www.getcatalog.ai/glossary/schema-markup): Structured data added to webpages with Schema.org vocabulary so search engines and AI systems can understand entities and offers more clearly.
- [Product schema](https://www.getcatalog.ai/glossary/product-schema): The product-specific structure that labels names, brands, SKUs, offers, availability, variants, and other product facts for software.
- [Rich results](https://www.getcatalog.ai/glossary/rich-results): Enhanced Google Search listings that can add ratings, price, availability, images, breadcrumbs, or other visible details when a page has eligible structured data.
- [Catalog management software](https://www.getcatalog.ai/glossary/catalog-management-software): Software that keeps product catalog data organized, accurate, and ready for storefronts, marketplaces, feeds, APIs, and AI-shopping systems.
- [Product catalog management](https://www.getcatalog.ai/glossary/product-catalog-management): The process of maintaining accurate, structured, channel-ready product information across storefronts, marketplaces, feeds, search, and AI commerce.
- [Digital product passport](https://www.getcatalog.ai/glossary/digital-product-passport): A structured digital record linked to a product, component, or material through an identifier and data carrier so people and systems can access compliance, sustainability, repair, and lifecycle data.
- [Product feed](https://www.getcatalog.ai/glossary/product-feed): A structured product-data file, stream, or transfer that sends channel-ready product records to commerce destinations.
- [Google Merchant Center](https://www.getcatalog.ai/glossary/merchant-center): Google's product-data workspace for submitting, validating, and managing product records for Google commerce surfaces.
- [Distribution channel](https://www.getcatalog.ai/glossary/distribution-channel): The route products take from a brand or seller to buyers across owned stores, marketplaces, retailers, distributors, feeds, APIs, and AI-shopping surfaces.
- [GTIN (Global Trade Item Number)](https://www.getcatalog.ai/glossary/gtin-global-trade-item-number): A globally unique product identifier used across retailers, marketplaces, feeds, supply chains, search systems, and product structured data.
- [Master Data Management (MDM)](https://www.getcatalog.ai/glossary/master-data-management-mdm): The discipline of creating trusted, governed master records across systems so product data can be reused in operations, reporting, channels, search, and AI commerce.
- [Generative engine optimization](https://www.getcatalog.ai/glossary/generative-engine-optimization): The practice of making content, product facts, and brand information easier for generative AI systems to understand, cite, compare, and recommend.
- [Data validation](https://www.getcatalog.ai/glossary/data-validation): The process of checking product data against rules before it reaches pages, feeds, marketplaces, search systems, and AI-commerce workflows.
- [JSON-LD](https://www.getcatalog.ai/glossary/json-ld): A JSON-based format for adding linked, machine-readable structured data to product pages, FAQs, breadcrumbs, organizations, offers, and other ecommerce content.
- [Product Lifecycle Management (PLM)](https://www.getcatalog.ai/glossary/product-lifecycle-management): The practice of managing product information, decisions, workflows, and changes from first idea through launch, optimization, updates, and retirement.
- [Answer Engine Optimization (AEO)](https://www.getcatalog.ai/glossary/answer-engine-optimization): The practice of making content and product facts easier for answer engines and AI assistants to understand, trust, extract, and return as direct answers.
- [Data synchronization](https://www.getcatalog.ai/glossary/data-synchronization): The process of keeping matching product data consistent and current across commerce systems, feeds, channels, search, and AI-shopping workflows.
- [GDSN (Global Data Synchronization Network)](https://www.getcatalog.ai/glossary/gdsn): A GS1 standards-based network for sharing and continuously synchronizing standardized product and party master data between trading partners.
- [Inventory management](https://www.getcatalog.ai/glossary/inventory-management): The process of tracking, controlling, and planning product stock and availability across ecommerce channels, fulfillment locations, feeds, search, and AI-shopping surfaces.
- [Inventory optimization](https://www.getcatalog.ai/glossary/inventory-optimization): The planning discipline for setting stock targets and replenishment policies that balance service, cost, cash, and supply risk.
- [Product listing](https://www.getcatalog.ai/glossary/product-listing): The customer-facing product page, marketplace entry, or commerce record that presents one product or variant for sale across channels.
- [Content syndication](https://www.getcatalog.ai/glossary/content-syndication): The distribution of content or product data to third-party channels such as retailers, marketplaces, feeds, APIs, and AI-shopping surfaces.
- [Data feed](https://www.getcatalog.ai/glossary/data-feed): A structured file, stream, or scheduled transfer that sends current product data to channels, platforms, and downstream systems.
- [PIM database](https://www.getcatalog.ai/glossary/pim-database): The repository where product information is stored, structured, and governed inside a product information management system.

## Blog

Newest 10 posts — full index at [blog.json](https://www.getcatalog.ai/blog.json):

- [EDI Onboarding: A Supplier Readiness Checklist for a New Trading Partner](https://www.getcatalog.ai/blog/edi-onboarding): October 7, 2026 — Use this EDI onboarding checklist to separate supplier, item, partner, and technical gates, then prepare data, test, certify, and cut over.
- [Google Merchant Center feed: a product-data-first setup guide](https://www.getcatalog.ai/blog/google-merchant-center-feed): October 7, 2026 — Set up a Google Merchant Center feed from clean product data, map variants, read diagnostics, separate processing from approval, and keep offers fresh.
- [Amazon product listing optimization starts with data readiness](https://www.getcatalog.ai/blog/amazon-product-listing-optimization): October 6, 2026 — A practical Amazon product listing optimization workflow covering product types, attributes, titles, images, variants, validation, and freshness.
- [Product feed optimization: a Google Shopping-first guide](https://www.getcatalog.ai/blog/product-feed-optimization): October 6, 2026 — Learn product feed optimization with a Google Shopping-first workflow for eligibility, field quality, feed validation, freshness, testing, and measurement.
- [Vendor onboarding process for ecommerce brands](https://www.getcatalog.ai/blog/vendor-onboarding-process): October 5, 2026 — Build a vendor onboarding process for ecommerce that covers approvals, documents, vendor-master setup, product data, validation, distribution, and KPIs.
- [Perpetual vs. periodic inventory systems: An ecommerce decision guide](https://www.getcatalog.ai/blog/perpetual-vs-periodic-inventory-system): October 3, 2026 — Compare perpetual and periodic inventory systems for ecommerce, with accounting differences, channel impacts, reconciliation, and a decision checklist.
- [Product identifiers: An ecommerce crosswalk that stays intact](https://www.getcatalog.ai/blog/product-identifier): October 3, 2026 — Map GTIN, UPC, EAN, ISBN, SKU, MPN, ASIN, and offer IDs across variants, feeds, schema, marketplaces, and AI catalogs without corrupting data.
- [ASIN number: what it is and how to use it](https://www.getcatalog.ai/blog/asin-number): October 3, 2026 — Learn what an ASIN number is, where to find it, how Amazon assigns one, and how to map ASINs to GTINs, SKUs, and product variants for Amazon listings.
- [Digital shelf: the operating guide for product visibility](https://www.getcatalog.ai/blog/digital-shelf): October 3, 2026 — Learn what the digital shelf includes, how to monitor and optimize it, and which product data, channel, and business metrics to manage across channels.
- [Ecommerce personalization: an implementation guide](https://www.getcatalog.ai/blog/ecommerce-personalization): October 3, 2026 — Learn how ecommerce personalization turns shopper signals into relevant experiences with normalized product data, controlled tests, and privacy guardrails.

## Optional

- [llms-full.txt](https://www.getcatalog.ai/llms-full.txt): every page and blog post inlined as one markdown file
- [blog.json](https://www.getcatalog.ai/blog.json): machine-readable index of all blog posts
- [sitemap.xml](https://www.getcatalog.ai/sitemap.xml): every canonical URL