AI doesn't need your catalogue. It infers it from thousands of public fragments — distributor pages, technical PDFs, forums, cross-reference tables. PartSentinel is the only audit that measures the gap between the catalogue you control and the catalogue the market is already consulting.
AI doesn't need your catalogue. It reconstructs it from public fragments — and that reconstruction is what your buyers, technicians and distributors are starting to consult.
The gap between these two catalogues is now measurable, actionable — and directly correlated to your commercial visibility in conversational search environments.
We are a sentinel, not an optimisation tool. PartSentinel ingests your catalogue — BMEcat, ETIM, CSV, or PIM API — then crawls every major large language model and gray-market source as an external entity. Our AI thinks like a competitor or a regulator, not like your IT.
For each reference, we report which platforms list it without authorization, which models recall it, and — most importantly — which of your confidential cross-references have leaked into training data or scrape sources without your consent.
No content rewriting. No SEO games. No promises to “boost visibility.” A calibrated, auditable map of where your industrial IP lives in the wild — so you can finally protect what matters.
Read the methodology →NPS — Net Promoter Score — is the canonical 0–100 customer-loyalty metric every CEO already tracks at a glance. The Sentinel Score gives you the same one-glance signal for how AI represents your catalogue: a single 0–100 number summarising accuracy across all audited models, calibrated against ground-truth data you control.
An illustrative audit on a single exhaust silencer reference — brand and refs anonymised. Click each model to see its response, the cross-references it volunteered (some confidential), and the technical spec values it claimed.
Each industry has its own ground-truth conventions, cross-reference systems, and confidential data classes. PartSentinel's prompts and scoring weights are calibrated per vertical.
OEM catalogues, OE-numbers, fitment charts. Where leaks hurt most.
ETIM classes. Models hallucinate spec ranges with high confidence.
ATA chapters, IPC. Coverage is sparse but accuracy where present is higher.
Hazard codes, formulations, regulatory recall. Hallucinations carry safety weight.
When do you want to find out?
The problem is still emerging. Gaps are measurable, inference paths identifiable, remediation accessible. The cost of early control is low compared to the stakes.
Visibility loss has become structural. Competitors have captured category authority in AI answers. Commercial displacement is already underway.
Six models queried live on your SKU. Sentinel Score, hallucinations and leaked cross-references — a full audit, free, no sales call.