Face Age applies advanced technology to evaluate facial skin characteristics, assessing elements such as wrinkles, pores, acne, and under-eye bags to build a detailed picture of each customer’s skin condition. This analysis supports a more precise understanding of individual skin profiles.

The system is built to integrate smoothly with existing e-commerce platforms, offering multiple implementation approaches to fit different technical environments. It can be incorporated into both smaller online shops and larger marketplace infrastructures, aligning with the specific requirements and constraints of each setup.

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