MPower GEO Lens

A real audit, published as a live demo

This is the GEO Lens dashboard running on real data: 10 electric-vehicle buyer prompts, asked on 9 AI engines in 3 sampling waves, 270 answers in total. Chinese engines were asked in Chinese, Western engines in English. Nothing is edited; the raw dataset is downloadable below.

MPower GEO Lens Electric vehicles: BYD, Tesla, NIO, XPeng, Li Auto 2026-07-06 to 2026-07-06 · 270 answers
40.0%share of voice: Tesla leads the category
44 ptshemisphere gap for NIO: 60.0% China vs 15.8% West
9engines this window: 5 Chinese, 4 Western
270verbatim answers retained as evidence

Share of voice

Each brand's share of all brand mentions across every answer, all engines, all waves.

Mention rate by hemisphere

Chinese enginesWestern engines

Share of answers naming each brand, split by engine hemisphere. The gaps are the reason this desk exists.

What the engines associate with each brand

price and value 122 battery technology 106 safety 51 sales volume 43 range 32 reliability 29 service network 14 innovation 9

Attributes engines attached to each brand, tagged from every answer. Counts are answer-level tags.

Full standings

BrandShare of voiceMention rateChina rateWest rateAvg first-mention rank
Tesla40.0%92.2%91.3%93.3%1.26
BYD23.0%53.0%69.3%32.5%1.81
NIO17.5%40.4%60.0%15.8%2.84
XPeng13.8%31.9%51.3%7.5%3.13
Li Auto5.8%13.3%23.3%0.8%4.08

Methodology notes: engines are queried through their API models, which can differ from consumer apps that add retrieval on top. Google AI Mode (provider-side regional block at collection time) was excluded from this collection window and the roster count reflects that. Engines are probabilistic; this demo repeat-samples in 3 waves and retains every verbatim answer. Download the full aggregated dataset (JSON).

This is the product, pointed at a demo category

Client deployments run this exact dashboard on your brand, your competitive set and your buyers' questions, refreshed monthly or weekly, with alerting between waves and every number drilling down to verbatim answers.

Want it on your category

Write to rio.chen@mpowerlabs.ai with your brand and markets. Where useful we run a small live sample on your category before you commit to anything.

See your brand through ten AI engines

Pricing and scoping are handled directly. Write to us with your brand and markets; we reply within one business day.