Buyer prompt · published evidence

Recommend an ERP suite for a global enterprise with multiple entities, currencies, tax regimes, supply chains, and regulatory requirements.

An exact prompt-level view of which reviewed brands surfaced and which public URLs the configured AI models cited. No answer text or tenant data is published.

Intent
recommendation
Model providers
3
Categories
1
Last observed
Aug 20, 2026, 12:00 AM UTC
Competitive outcome

Brands surfaced

Ordered by provider breadth, then total mentions and owned-domain citations. A mention is not an endorsement or a position claim.

#BrandCategoryProvidersMentionsOwned citationsProvider evidence
01Oracle NetSuitenetsuite.comERP222Openai · Gemini
02Acumaticaacumatica.comERP120Openai
03Infor CloudSuiteinfor.comERP110Openai
04SAP Cloud ERPsap.comERP101Openai
Model comparison

Answer matrix

One row per configured provider and category snapshot. Hashes prove answer identity without publishing stored answer text.

ProviderModel versionCategoryBrands surfacedCitationsUnique domainsAnswer hash
Openaiopenai/gpt-4o-miniERPSAP Cloud ERP · Oracle NetSuite · Acumatica · Infor CloudSuite6667e1cd24…95ddc
Anthropicanthropic/claude-haiku-4-5ERPNone observed00b4421ac8…56ce0
Geminigoogle/gemini-2.5-flashERPOracle NetSuite8561efedfe…4cacd
URL-derived citations

Sources cited

Hostnames are derived from the returned public URLs. Best position is the smallest citation position observed.

Snapshot IDs03d8665d-e402-4f1c-9575-0e824c0984e6
Corpus versionsfinance-erp-platforms-2026-07-27
Benchmark versions4-finance-erp-platforms-2026-07-27-models-64232fd32583

Coverage: ERP. Full answers stored: no · Full answers published: no · Tenant data included: no.