AI productization
Since 2017, the team has worked across AI applications, knowledge engineering, and enterprise software delivery, turning model capability into deployable business systems.
让品牌在 AI 时代被理解、被采信、被推荐
UnderAI is a GEO service system for the AI search era. We help brands turn positioning, evidence, and website content into public trust assets that large language models can identify, verify, and cite.
We connect search growth, AI models, structured content, authoritative sources, and website optimization so real buyers understand your value and AI has stronger reasons to treat you as a trusted answer source.
Why UnderAI can do GEO
AI is now screening options, giving trust signals, and reducing decision risk for users. Future growth depends not only on paid acquisition, but on whether AI treats a brand as a credible reference answer.
UnderAI is built by a team combining search growth, AI models, RAG, content strategy, and enterprise delivery . The methodology comes from long-term SEO practice, growth execution, and research into how models select trusted sources.
The result is EchoLu GEO Dual Trust Engines , a system for building brand entity trust and official-source trust so companies can enter AI default cognition structures.
2017
AI technology foundation
30+
AI invention patents
Top 10
China AI Star enterprise
100s
Leading customer experience
Team background evidence
Search and growth practice
The methodology draws from long-term SEO, content growth, and brand cognition work, with a clear view of which public signals shape user and AI trust.
Enterprise-grade delivery
Past work spans leading customers, patented technology, filing and security-management contexts, shaping a GEO delivery boundary that is testable, explainable, and procurement-ready.
Trusted AI and white-hat GEO principles
We believe in long-term trust and explainable evidence . UnderAI does not use AI content poisoning, low-quality mass publishing, opaque manipulation, or guaranteed-citation claims. Optimization focuses on public trust signals, official answer pages, and high-quality sources.
Large-model filing experience
ISO 27001 security certification
ISO 20000 service management
CMMI Level 3 maturity
Aligning websites, content, media, and AI sources into one trust structure
Enterprise-Safe AI Search Diagnostics
underai is positioned around public-data analysis, explainable evidence, retesting, and clear boundaries: diagnosis and optimization, not guaranteed citations or opaque AI manipulation.
Public-Data Analysis
Diagnoses the sources AI can already see
No Private Model Training
Positioned around evidence, not private-data exposure
Retention & Subprocessor Review
Enterprise documents can define data boundaries
No Guaranteed Citation Claims
Optimization and monitoring with clear result limits
Ready to build AI trust?
Find out why AI is not recommending you yet
See the prompts you are losingIdentify the buyer questions where competitors appear, but your brand is absent, vague, or unsupported.
Find the trust signals AI is missingSpot source conflicts, weak official pages, missing schema, and evidence gaps that block citations.
Know what to fix firstGet a clear repair path your content, PR, brand, and website teams can act on.
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