Ottimate
ottimate.comOttimate (formerly Plate IQ) is an AP automation AI platform that manages the full invoice lifecycle for AP managers, approvers, controllers, and CFOs. Its deep learning technology adapts to each organization’s accounts payable process down to the line-item level, enabling tailored approval and payment workflows and replacing over 90% of manual accounting tasks. The system interprets inconsistent invoice formats, abbreviations, and detailed line items, then posts them accurately to the general ledger, while also providing visibility into invoices and spending so finance teams can identify potential growth opportunities and make more strategic decisions.
Positioned within the Hospitality Software category, Ottimate offers bi-directional connectivity with ERP systems through deep integrations, detailed mapping, and linked source documentation, removing the need to re-enter data in accounting or AP systems. It supports cash flow optimization by leveraging vendor-sponsored early payment discounts, preventing unapproved invoice spend, and enabling cash back via virtual cards. The platform applies line-item rules to automatically route invoices through even complex approval chains and allows users to approve and schedule payments by check, ACH, or virtual card in one click, while continuously checking for discrepancies, tracking missing invoices, and providing real-time spend visibility.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Ottimate mention score POST /v3/content_analysis/summary { "keyword": "Ottimate", "type": "llm_mentions", "date_from": "2025-01-01" }
