UnderAI AEO and AI SEO services logo
About UnderAI

Helping Brands Become Clear, Credible, and Recommended in AI Answers

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.

Team

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 the EchoLu GEO Dual Trust Engines, a system for building brand entity trust and official-source trust so companies can establish a clear, trusted, and consistent presence in AI-generated answers.

  • 100+

    enterprise clients served

  • 100+

    Markets covered across 50+ languages

Team background evidence

  • AI productization

    Since 2017, the team has worked across AI applications, knowledge engineering, and enterprise software delivery, turning model capability into deployable business systems.

  • 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.

UnderAI team capabilities, search growth, and enterprise GEO methodology visualization
Principles

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.

  • AI Model Regulatory Filing Experience
  • ISO 27001 security certification
  • ISO 20000 service management
  • CMMI Level 3 maturity
Trusted AI and white-hat GEO evidence pathways and safety boundaries visualization
Aligning websites, content, media, and AI sources into one trust structure
Diagnostics

Enterprise-Safe AI Search Diagnostics

UnderAI focuses on public data analysis, explainable evidence, repeatable testing, and clearly defined service boundaries. We provide diagnosis and optimization without guaranteed citation claims or opaque AI manipulation.

  • Public-Data Analysis

    Diagnoses the sources AI can already see

  • Customer Data Is Not Used for Model Training

    Customer data submitted for GEO diagnostics is not used to train AI models.

  • Retention & Subprocessor Review

    Enterprise documents can define data boundaries

  • No Guaranteed Citation Claims

    Optimization and monitoring with clear result limits

Consult
Talk to UnderAI

Find out why AI is not recommending you yet

  • See the prompts you are losing
  • Find the trust signals AI is missing
  • Know what to fix first
0/300 words