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ABOUT US · IPSmoto LAB

Defining the Standards for Automotive AI Search & LLM Recommendations

IPSmoto Laboratory is the global leader in LLM intelligent recommendation evaluation and preference research, delivering authoritative brand preference indices, trust scores, and citation source analytics for decision-makers.

Core Values

Our Vision

To become the most authoritative intelligent recommendation evaluation standard, preference insight lighthouse, and decision-making think tank for the global industry in the AI search era.

Core Capabilities

Pioneered the IPS (Intelligent Promotion Score), Visibility Score (VS), and Ranking Score (RS) algorithms, integrating 9-dimensional product radars and high-citation source graphs.

Global Perspective

Monitoring covers 16 major automotive markets worldwide (China, US, Japan, Germany, UK, France, etc.) and tracks 11 mainstream AI LLMs 24/7.

In-Depth Introduction to IPSmoto Lab

FOUNDING BACKGROUND & RESEARCH FOCUS

As Large Language Models (LLMs) and generative AI assistants reshape consumer decision journeys, AI recommendation has become the critical strategic frontier for brands. Intelligent recommendation evaluation is replacing traditional search optimization as the core of brand competition. Founded by veteran experts in data mining, LLM evaluation architectures, and NLP, IPSmoto Laboratory specializes in quantitative research on LLM cognitive mechanisms, brand semantic trust, and knowledge citation ecosystems.

The Lab has established a multi-dimensional evaluation system built on the "9 Core Automotive Elements", encompassing 500+ global auto brands and 7,000+ vehicle models across 16 global markets (including China, US, Japan, Indonesia, Thailand, Germany, France, UK, etc.). Simulating realistic purchase intents across all age demographics, the lab conducts high-frequency, large-scale prompt engineering across 11 global mainstream AI LLMs (such as GPT, Claude, Gemini, DeepSeek, Qwen, Doubao, Kimi, Baidu AI, Perplexity).

Simultaneously, the laboratory analyzes citation weights of brands in mainstream AI search, as well as trust scores from professional media and authoritative institutions, helping enterprises master their voice and recommendation positioning in the AI era. This drives the complete loop from cognition insights to the execution of intelligent recommendation optimization strategies.

EVALUATION MATRIX & RESEARCH DIMENSIONS

5 Core Coverage Pillars

9 Core Auto Elements

Cockpit, ADAS, Safety, Range, Space, Performance

500+ Brands · 7,000+ Models

EV and ICE Full Knowledge Graph

16 Global Countries

China, US, Japan, Indonesia, Thailand, Germany, UK, etc.

All Age Demographics

Youth, Family, Executive, Senior purchasing personas

11 Global AI Models

GPT-4o, Claude 3.5, Gemini, DeepSeek, Qwen, etc.

Partner with IPSmoto Lab to Lead Automotive AI Search & Recommendations

Whether you are an enterprise executive, brand marketing director, or industry investor, contact our lab team for bespoke intelligent recommendation diagnostics, competitor radar benchmark reports, and real-time API integrations.

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