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AI Feed Agent

AI Agent for Product Feed Management: Setup, Audits, Troubleshooting and Optimisation

AI Feed Agent Feed ops, support, audits & troubleshooting
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AI Feed Agentnow

An AI agent that supports your feed team

AI Feed Agent is created to assist you with your day-to-day feed work, answer questions, and provide suggestions on optimization and resolving feed issues

  • Help centre, with steps you can apply

    You can ask questions and receive answers based on feed attributes and channel requirements, e.g., title, product categories, product variants, shipping, pricing, and more.

  • Attribute mapping suggestions

    You can use the AI agent to assist in suggesting a way to approach a feed attribute mapping based on "we have this in the source" and what you would want to happen in the case of a lack of information.

  • Rule drafts you can validate

    You can input what you want to happen with your feed, e.g., "append size to titles for apparel variants," and receive a draft of what you could use for a rule, what you might want to consider, and a way to validate before you roll it out.

Audit your feed data

The AI-assisted audits point out areas of missing or inconsistent information that could affect approvals, visibility, and performance

  • Find missing and weak attributes

    AI Feed Agent identifies areas of missing or poor information such as brand, GTIN, product type, color, and material. The issues are grouped together for easier identification of what to fix first.

  • Spot inconsistencies and anomalies

    You can use the AI Feed Agent to detect conflicting values in product variants, unusual changes in price, unusual settings in shipping, and incorrect category assignments compared to similar products.

  • Check against channel requirements

    The AI Feed Agent also points out common areas of disapprovals and reduced visibility such as truncated titles, restricted terms, poor product type, missing information, and incorrect attribute formats.

Run core feed actions

AI Feed Agent helps your team run and schedule the operations that keep sources and feeds current, and manage what gets exported to each channel

  • Run source imports

    Start an import for a selected source and verify it is complete. Review what changed, including new items, updates, and items that fell out before they flow downstream.

  • Run feed syncs

    Start a feed sync and send updates to channels with the latest information. Monitor status and catch errors before they affect exports.

  • Block items

    Prevent selected products from being exported if needed, such as policy issues, stock status, or price issues. Record blocked items and reasons for blocking them.

  • Unblock items

    Allow blocked products to be exported after issues are resolved. The next import or sync will pick them up and allow them to flow into relevant feeds again.

  • Schedule updates

    Schedule source imports and feed syncs to occur on your chosen schedule with history of past runs, upcoming runs, and errors.

Diagnose disapprovals and feed issues quickly

AI Feed Agent detects feed problems, explains what's happening, and provides actionable next steps to resolve the problem

  • Root cause analysis that you can follow

    Understand exactly what's changed in your feed and its impact with attribute diffs, unexpected value changes, and trends in your products, categories, brands, or variants.

  • Explain errors in plain language

    Turn feed errors into actionable reasons with clear next steps, so non-technical teams can take action without wading through diagnostic screens.

  • Prioritise what to fix first

    Prioritise feed errors by severity and reach, for example, what prevents approvals, what negatively impacts matching results, or what causes inconsistent product listings across platforms.

  • Cross-check in Google Merchant Center

    Verify item status, diagnostics, and policy or quality signals in the Merchant Center to see exactly what's happening from Google's perspective and whether it's a feed problem, crawling problem, or account problem.

  • Validate landing page structured data

    Fetch product pages to validate key structured data like Product and Offer microdata, prices, availability, GTINs, and compare it with your feed to quickly identify discrepancies before they cause errors or disapprovals.

Smoother handovers and onboarding

The AI Feed Agent can assist in understanding your set up, why things are in place, and how to work with the workflows without introducing unnecessary risk

  • Explain the current setup

    Answer "what does this do?" in a very practical way, including what sources go into the feed, what each transformation does, and what rules apply to what products.

  • Rule-by-rule handover notes

    Create basic documentation on each rule, including what it does, what it is meant to achieve, and what to do with it.

  • Guided onboarding with guardrails

    Guide new team members through common activities with safe defaults, including what to do first, what to change, and when to ask for a review.

  • Learn by doing, safely

    Use examples to teach team members what to expect as outputs, with quick tests to verify that changes are correct before they affect the catalogue as a whole.

Validate quality and compliance before export

AI Feed Agent assists you in identifying problems at an early stage, identifying risks, and ensuring consistency of feed quality, with you retaining overall control

  • Field-level validation

    Format, length, required fields, and other constraint-related issues are identified and highlighted for you. Risks of failure and potential impact on coverage and relevance are identified and proposed solutions are offered for you to implement.

  • Variant consistency checks

    Validate that variants differ where they should, for example size or colour, and match where they must, such as brand and identifier rules. Flag cases where variants may collapse into duplicates, with suggestions to resolve.

  • Evidence checks for AI-enriched content

    Checks are carried out for consistency of enriched information and patterns, and risks of unsupported information are highlighted for you to decide what is safe and what is not.

Analyse opportunities and performance drivers

AI Feed Agent highlights what's holding up coverage and what changes to feeds will have the greatest chance of improving performance

  • Identify optimisation opportunities

    Highlight products with low relevance signals, few attributes, or unclear categorisation, and then recommend which fields to optimise first based on potential impact.

  • Segment the catalogue in a useful way

    Organise products by intent and similarity as well as category, to enable more targeted rules for example by using different title formats for accessories compared to main items.

  • Explain what changed and why

    Make feed changes more actionable by linking to results achieved by showing changes to attributes, affected products, and emerging trends.

  • Build a practical roadmap

    Turn findings into a plan of action with quick wins, structural changes, and reusable templates that can be implemented consistently as the catalogue grows.