This restaurant booking system is positioned as an alternative to competitors that apply per-reservation charges. Instead of transaction fees or commission on bookings, it operates on a fixed monthly flat fee, with no additional or concealed costs.

Within the Hospitality Software category, the product is designed to support restaurants in managing reservations in a way that focuses on revenue and yield. Its stated aim is to give restaurants tools that help them optimize their income and make better use of their available capacity.

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

DataForSeo API

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 ResDiary mention score
POST /v3/content_analysis/summary
{
  "keyword": "ResDiary",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}