The half of AI search your visibility stack cannot see
Buyers now ask AI engines before they ask anyone else. Western platforms track ChatGPT and Perplexity. Hundreds of millions of consumers inside China ask Doubao, DeepSeek, Kimi, Qianwen and Ernie instead, and those engines tell a different story about your brand. MPower GEO Lens measures both hemispheres from one desk: same prompts, same scoring, Chinese and English.
Figures from the public demo audit: real engine answers, collected 2026-07-06, published unedited.
A China-blind audit is half an audit
When a buyer in Shanghai asks Doubao which electric car to trust, or a procurement lead in Shenzhen asks DeepSeek to shortlist vendors, no Western dashboard sees the answer. The engines inside China train on different sources, cite different media, and routinely disagree with ChatGPT about the same brands.
GEO Lens asks the questions your buyers actually ask, in their language, on the engines they actually use. Then it scores every answer the same way: who was mentioned, who was recommended first, in what sentiment, citing which sources.
Inside China
Doubao, DeepSeek, Kimi, Qianwen, Ernie. Asked in Chinese. The engines your Western tools cannot reach.
Rest of world
ChatGPT, Google AI Mode, Meta Llama, Perplexity, Grok. Asked in English. Covered by the same methodology, so the comparison holds.
Ten engines, one methodology
Every audit runs the same prompt set across the full roster. No engine is graded on a curve.
Chinese engines 5
- Doubao 豆包 ByteDance
- DeepSeek DeepSeek AI
- Kimi Moonshot AI
- Qianwen 通义千问 Alibaba
- Ernie 文心一言 Baidu
Western engines 5
- ChatGPT OpenAI
- Google AI Mode Google
- Meta Llama Meta
- Perplexity Perplexity AI
- Grok xAI
See the disagreement for yourself
We audited the electric-vehicle category and published the results as a live demo. The same buyer questions, asked on both sides of the language wall.
Brand mention rate by hemisphere: share of engine answers naming each brand, across 10 EV buyer prompts and 3 sampling waves, 2026-07-06.
Four ways to work with us
SaaS dashboard
A living view of your AI visibility: overview, trends, benchmarking, sentiment and sources, refreshed on your cadence.
ExploreMCP server
Plug all ten engines into Claude or your own agents. Audits and cross-engine questions become native tool calls.
ExploreInsight reports
Analyst-written, board-ready: what the engines say about you, why it matters, and what to do about it.
ExploreMonitoring alerts
Know when an engine changes its answer about you: new rivals recommended, sentiment turns, invented facts.
ExplorePricing is scoped per engagement. Write to rio.chen@mpowerlabs.ai.
How we measure
GEO numbers are only as good as their method. Ours is published with every audit, including the public demo on this site.
- 1. Buyer prompts, buyer language. Chinese engines are asked in Chinese, Western engines in English, with prompt sets built from real purchase questions.
- 2. Repeat sampling. Engines are probabilistic. We run multiple waves and only treat movements that persist as real.
- 3. Evidence retained. Every verbatim answer is stored with its timestamp and resolved model version, so any number can be traced to its source.