# 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/): what Catalog does for brands — positioning, how it works, and the merchant 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
- [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)

## 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.
- [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.
- [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.
- [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):

- [Product feed management now has two jobs](https://www.getcatalog.ai/blog/product-feed-management): August 19, 2026 — Learn how product feed management works, which fields matter, how feeds differ by channel, and when to use feed tools or an AI product data layer.
- [What is a SKU? Meaning, examples, and how to create one](https://www.getcatalog.ai/blog/what-is-a-sku): August 18, 2026 — Learn what a SKU is, see real SKU examples, compare SKU vs UPC and barcode, and build a SKU system that works for ecommerce and AI shopping.
- [Omnichannel vs. multichannel: what changes for product data](https://www.getcatalog.ai/blog/omnichannel-vs-multichannel): August 13, 2026 — Compare omnichannel vs. multichannel commerce, the operational tradeoffs, and what each model needs from product feeds, inventory, and structured data.
- [Conversational commerce: what it is, examples, and how brands should prepare](https://www.getcatalog.ai/blog/conversational-commerce-guide): July 28, 2026 — Learn what conversational commerce is, how AI shopping assistants change it, and what product data brands need for chat-led buying.
- [Product experience management: what PXM means and how it fits the product data stack](https://www.getcatalog.ai/blog/product-experience-management): July 27, 2026 — Learn what product experience management means, how PXM differs from PIM, enrichment, and syndication, and how AI commerce changes the workflow.
- [Product attributes: examples, types, and why they matter](https://www.getcatalog.ai/blog/product-attributes-guide): July 24, 2026 — Learn what product attributes are, see ecommerce examples, and understand how consistent attributes improve search, filters, feeds, and AI readability.
- [Inventory management process: steps, map, and checkpoints](https://www.getcatalog.ai/blog/inventory-management-process): July 22, 2026 — A practical guide to the inventory management process, with process steps, handoff checkpoints, failure points, KPIs, and product data examples.
- [Ecommerce filters: how to improve product discovery with better data and UX](https://www.getcatalog.ai/blog/ecommerce-filters): July 22, 2026 — A practical guide to ecommerce filters, faceted navigation, filter UX, product attribute quality, and SEO crawl control.
- [What is a third-party marketplace?](https://www.getcatalog.ai/blog/third-party-marketplace): July 21, 2026 — Learn what a third-party marketplace is, how 3P selling works, examples like Amazon and Walmart, and what product data merchants need.
- [Referral traffic in Google Analytics: how to track AI and direct visits in GA4](https://www.getcatalog.ai/blog/referral-traffic-google-analytics): July 20, 2026 — Learn how to read GA4 referral and direct traffic, track AI assistants, segment likely dark visits, and tie product-page traffic to revenue.

## 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