> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.feedonomics.com/product/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.feedonomics.com/_mcp/server.

# Product

> Documentation for Feedonomics — the enterprise product feed management platform

## Docs

- [Introduction](https://docs.feedonomics.com/product/introduction.md): Feedonomics is the enterprise product feed management platform that moves and optimizes your catalog data across ads, marketplaces, AI surfaces, and order systems.
- [User Access Control](https://docs.feedonomics.com/product/account/user-access-control.md): Manage who can log in to your Feedonomics account, what they can see, and what they can change — access levels, account-level vs database-level scope, and how to add, update, or remove users yourself.
- [FeedSupport Portal](https://docs.feedonomics.com/product/account/feedsupport-portal.md): How to reach the FeedSupport Portal, what you'll find on the home screen, how to submit a request to the Feedonomics support team, and how to check on existing tickets.
- [Exclude/Include Products](https://docs.feedonomics.com/product/workflows/exclude-include-products.md): Control which products appear in your feed exports from the self-managed Exclude/Include Products workspace — search and select products, exclude or re-include them, preview the impact per export, publish, and manage the rules you've created.
- [Custom Labels](https://docs.feedonomics.com/product/workflows/custom-labels.md): Assign values to your Google custom label fields from the self-managed Custom Labels workspace — search and select products, set a label value, preview the impact per export, publish, and manage the rules you've created.
- [What is FDX Enrichment?](https://docs.feedonomics.com/product/enrichment/what-is-fdx-enrichment.md): What FDX Enrichment does, why catalog data quality drives ads, SEO, and AI answer engine visibility, what it's worth to each role, and where to start.
- [What enrichment does (and doesn't do)](https://docs.feedonomics.com/product/enrichment/scope.md): What enrichment generates — product copy, SEO, AEO, and channel fields — and what it deliberately does not do, including structured attributes and categorization.
- [Fields in an enrichment run](https://docs.feedonomics.com/product/enrichment/fields.md): Every field a single enrichment run can generate — branded copy, SEO and discovery metadata, AEO content, and per-channel marketing fields — with what each one is for.
- [Your first enrichment run](https://docs.feedonomics.com/product/enrichment/first-enrichment-run.md): A step-by-step walkthrough of your first enrichment run on a small batch, from prerequisites through reviewing and accepting results.
- [The enrichment run](https://docs.feedonomics.com/product/enrichment/run-flow.md): The stages of an enrichment run, choosing between product-level and variant-level enrichment, and where enriched output lands.
- [Generation configs](https://docs.feedonomics.com/product/enrichment/generation-configs.md): What a generation config contains, how it governs every run, and the rules configs follow including versioning and pinned output structure.
- [Enrichment strategy](https://docs.feedonomics.com/product/enrichment/strategy.md): How to tune enrichment using the two levers you control — brand voice and raw data — and how to match the level of context to your product assortment with coverage enrichments or depth enrichments.
- [Teaching enrichment your brand voice](https://docs.feedonomics.com/product/enrichment/brand-voice.md): What to include in your brand voice input — personality, tone, do's and don'ts, restricted claims, and vocabulary — and how it shapes generated copy.
- [Inputs and what happens to them](https://docs.feedonomics.com/product/enrichment/inputs.md): The four config setup inputs — purpose, brand voice, search keywords, and additional context — what each one steers and what gets retained.
- [What makes good source data](https://docs.feedonomics.com/product/enrichment/what-makes-good-source-data.md): What good source data looks like for enrichment, why enrichment never fabricates missing facts, and what to fix before your first run.
- [Understanding your quality scores](https://docs.feedonomics.com/product/enrichment/scorecard.md): How enrichment quality is scored on accuracy, consistency, and brand adherence, and how issue-based scoring makes every result explainable.
- [Reviewing and accepting results](https://docs.feedonomics.com/product/enrichment/reviewing-results.md): How to review enrichment results at scale — accept all, accept above threshold, or row by row — plus annotating results and a review strategy that scales.
- [Editing enriched content](https://docs.feedonomics.com/product/enrichment/editing-content.md): How to change enriched content using transformers, transformed data overrides, and the feed build process, since output is applied as a raw data override.
- [Re-running enrichments](https://docs.feedonomics.com/product/enrichment/re-running.md): How to use quality scores to target a second enrichment pass, what to change between runs, and how new products get enriched.
- [Where enriched fields go](https://docs.feedonomics.com/product/enrichment/field-mapping.md): Which fields enrichment generates for storefront, SEO, AEO, and each marketplace or ad channel, how Feedonomics channel best practices are applied when they are generated, and how the feed build determines what ships.
- [Enrichment, transformers, and exports](https://docs.feedonomics.com/product/enrichment/transformers-and-exports.md): How enrichment writes to its own new fields, why your first enrichment changes nothing downstream, how to map enriched fields into exports, and what subsequent enrichments update automatically.
- [Measuring impact in Analytics](https://docs.feedonomics.com/product/enrichment/reports.md): How to measure enrichment impact in FDX Analytics — the required UTM and custom-label tagging, choosing a comparison method, and which report answers which question.
- [Proving enrichment works](https://docs.feedonomics.com/product/enrichment/measuring-impact.md): How enrichment shows value across paid channels, AI answer engines, and on-site AEO and SEO — what to measure on each surface, and how to build a before-and-after comparison that holds up.
- [A/B testing enriched content](https://docs.feedonomics.com/product/enrichment/ab-testing.md): How to run a controlled split test of enriched content on your feed, including group splitting, custom labels, and the caveats that protect your results.
- [Usage, billing, and limits](https://docs.feedonomics.com/product/enrichment/usage-and-billing.md): How enrichment usage is counted, why product versus variant level changes your count, how the hard cap works, and how to increase your allotment.
- [FAQ](https://docs.feedonomics.com/product/enrichment/faq.md): Common questions about FDX Enrichment answered by role — marketing, data, paid media, and analytics — plus billing and usage.
- [Analytics overview](https://docs.feedonomics.com/product/analytics/overview.md): The FDX Analytics dashboard — overview metrics, the Site Traffic, AEO, and Paid Media reports, the filters available in each, and which reports your account includes.
- [Analytics onboarding](https://docs.feedonomics.com/product/analytics/onboarding.md): How to connect analytics data sources — FDX database, optional BigCommerce store, and Google Ads — using the four-step setup wizard.
- [Paid media channels](https://docs.feedonomics.com/product/analytics/paid-media.md): The Paid Media report — supported channels starting with Google Ads, what the report shows, and the product-level filters including custom labels.
- [Traffic report](https://docs.feedonomics.com/product/analytics/traffic-report.md): The Site Traffic report — sessions, orders, and revenue by channel from your BigCommerce storefront traffic, including the AI/LLM channel. Available to BigCommerce merchants.
- [AEO report](https://docs.feedonomics.com/product/analytics/aeo-report.md): The AEO report — LLM requests, bot crawls, and URL-level activity from AI platforms like ChatGPT, Perplexity, Gemini, Copilot, and Claude, and how to read AI-engine attention on your site.
- [Feedonomics Companion](https://docs.feedonomics.com/product/analytics/companion.md): The Companion chat interface — ask questions about your analytics in plain language instead of navigating reports, with examples of what to ask.
- [Docs MCP Server](https://docs.feedonomics.com/product/ai-agent-setup.md): Connect the Feedonomics developer docs to your AI agent so it can answer questions grounded in our documentation.