Queue-it is designed for situations where online demand is high and supply is limited, such as sneaker drops, ticket releases, or government registrations that might otherwise overload a website or application. In these scenarios, visitors are moved to a configurable online waiting room and then gradually allowed back to the main site or app.

For planned sales or registration events, organizations can set up a scheduled waiting room that places early arrivals on a countdown page and assigns their positions at the start of the event using a raffle-type randomization, providing equal opportunity to participate. Visitors who arrive later are queued behind them in order of arrival. The virtual waiting room can also function continuously as a safeguard against traffic surges, monitoring incoming traffic volume and activating only when predefined thresholds are exceeded. By regulating incoming traffic in this way, organizations can maintain site performance, preserve fairness, protect their brand image, and support revenue capture while offering a stable user experience.

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