What we measure, and how it's read.
We monitor structured data and schema for validity, completeness and unexpected change, not just presence at a single point in time.
Product and commerce feeds are checked for accuracy and sync: price, availability, identifiers and attribute coverage against what your site and agents actually see.
Crawler access is watched continuously — robots rules, rate limiting and blocking changes that quietly cut models off from your content.
Anything that drifts is flagged as an alert with the affected surface and expected visibility impact, so it can be fixed before the next measurement wave.
Stage: Enforce.
Feed Guardian runs the Uncover and Enforce stage — continuous monitoring so a data or feed break never catches you off guard between measurement cycles.
See the full QUEEN framework →You're losing revenue to AI you can't see.
Feed and schema breaks are invisible in normal reporting. Nothing looks broken on the site, but the signals AI models depend on stop being trustworthy — and recommendations quietly move elsewhere.
Continuous monitoring means a replatform, template change or feed error costs you days of visibility rather than a quarter — structured catalogue data converts at twice the rate of a scraped site.
Feed Guardian, answered.
↳ What is Feed Guardian?
Feed Guardian continuously monitors the data and content feeds AI models pull from — schema, product data and structured feeds — and flags errors or drift before they silently break your AI visibility.
↳ Why did my AI visibility suddenly drop?
Frequently because a signal broke rather than because a model changed its mind: invalidated schema, a stale or partial product feed, a new crawler restriction, or a replatform that changed page structure. Feed Guardian catches these as they happen.
↳ Do AI models use product feeds?
Increasingly yes. Agentic shopping surfaces rely on structured product data — price, availability, identifiers and attributes — to compare and recommend. Inaccurate or inaccessible feeds remove you from consideration before any judgement about your brand is made.
↳ How often should product data and schema be checked?
Continuously. Product data changes daily and templates change without warning, so point-in-time audits miss the breaks that matter. Feed Guardian monitors between measurement waves and alerts on drift.
Check your feeds and schema — free audit — free.
Check your feeds and schema — free auditHow often your brand is recommended versus competitors and interceptors in your category, refreshed monthly.
Machine Preference Index measures how often your brand surfaces.
How ready your brand is to be selected by autonomous AI agents, across both AEO and ACO.
How AI shopping agents actually experience your site — and a competitor's — and where it breaks.
What AI models actually believe about your brand — not just whether they recommend it.