AI Search Trust Engine

Become the Trusted Answer AI Recommends

UnderAI helps brands build the public trust signals, content architecture, and citation sources that make AI systems understand, trust, cite, and recommend them.

Prompt strategy High-quality article strategy High-citation source strategy Website GEO optimization

Brand Definition

GEO helps brands enter AI default cognition and become trusted answer sources in AI systems.

Service Scope

Includes AI citation and sentiment analysis, prompt behavior analysis, website content optimization, media-source planning, reputation maintenance, and reporting.

Best For

For brands asking whether AI mentions them, what evidence AI trusts, and whether their official sources can be cited.

Service Model

Global GEO and SEO AIO service with prompt-level and model-performance-based execution.

Why now

AI is redistributing exposure, trust, and opportunity

When AI recommends a brand, it is not merely showing a result. It is reducing decision risk for the user and lending trust to the brand.

AI screens choices

Users now ask AI to shortlist vendors, products, tools, and local services before they ever visit a website.

AI becomes a trust proxy

A recommendation from AI increasingly feels like a third-party endorsement, especially in high-consideration categories.

The window is open

AI recommendation logic is still forming. Brands modeled early can compound authority before answer positions concentrate.

Trust diagnosis

Find why your brand is filtered out of AI answers

We diagnose not only whether you are mentioned, but whether AI has enough stable evidence to use your brand as a trusted answer source.

Answer eligibility

Where the brand drops out of the AI answer path

GEO

High-intent prompt"What is the best AI search optimization service for a B2B SaaS brand?"

Likely drop-off pointFirst locate which AI questions are worth winning

We separate broad awareness prompts from purchase, comparison, risk, and support prompts so the diagnosis starts from real decision demand instead of a flat keyword list.

Signals we verify

Decision-stage prompt clustersCommercial value scoringCompetitor answer patterns

Repair priorityPrioritize high-intent prompts where AI already has demand but lacks a trusted brand answer.

If prompt demand is unclear, later content and source work will optimize for questions users never actually ask.

Echo Core Theory

Dual Trust Engines

AI recommendations are driven by two trust engines: one identifies who you are, and the other determines whether your official sources can be safely cited. Brands that build both engines become more stable answer sources in AI systems.

Project SOP

Six delivery stages, from diagnosis to monitoring

This is the operational delivery model that turns GEO strategy into prompt assets, content/source execution, trust maintenance, and repeatable reporting.

Analysis and evaluation

Brand AI citation analysis
AI sentiment analysis
Category and competitor assessment
KPI planning and baseline setup

Prompt library setup

Prompt user-habit analysis
Decision-stage prompt clusters
Commercial value and priority scoring
Baseline prompt set for retesting

Website and content assets

Website GEO audit and optimization
Content matrix setup
Content direction design
Prompt debugging and content creation

High-citation sources and media matrix

Existing content analysis by prompt
Target-model source preference analysis
Media planning and strategy
High-authority distribution

Reputation and trust maintenance

Real-time brand monitoring
Deep reputation data analysis
Trust repair strategy
Brand credibility improvement

Monitoring, retesting, and reporting

Full-network target monitoring
Monthly data reports
Effect review and retesting
Next-stage strategy recommendations

Why UnderAI

From being mentioned to being trusted

Most GEO services stop at visibility. UnderAI focuses on trust, citation eligibility, and long-term answer-source status.

CapabilityUnderAITraditional GEO

Strategic goal

Trusted entityBuild the brand into a credible entity inside AI knowledge systems.

Mention trackingMeasure whether a model mentioned the brand.

Prompt research

Decision prompt systemMap high-intent prompts, blue-ocean opportunities, and buyer scenarios.

Keyword expansionConvert SEO keywords into more keywords.

Content strategy

Citable knowledge assetsWrite pages as standard answers with evidence, FAQ, summary, and source structure.

Generic AI contentPublish broad SEO-style or AI-generated content.

Authority building

Citation engineeringAlign official pages, high-authority media, vertical sources, and model preferences.

PR distributionPublish articles without connecting them to AI citation behavior.

Cross-industry GEO experience

GEO has already been applied across multiple industries

UnderAI has accumulated hands-on GEO experience across global SaaS, ecommerce, travel, EV, and technical product scenarios. We use these industry cases to identify recurring AI trust gaps and turn them into practical optimization paths.

Feature visibility in AI shortlists

Complex features, comparisons, and review pages cause AI to cite third-party lists instead of your product pages.

35%Before

78%After

123%

Why AI filters you out

AI cannot confidently map your product entity, feature set, security claims, and pricing facts across owned and third-party sources.

UnderAI fix path

Clarify product entities, implement SoftwareApplication schema, map comparison prompts, and identify the competitor sources AI is already using.

Answer eligibility lift

Feature recognition78%

Schema readiness82%

Competitor gap coverage74%

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.

Talk to UnderAILeave your email and our GEO team will follow up

FAQ

Common questions

Answers to the questions teams ask before starting GEO: why AI does not mention your brand, which trust signals need repair, how results can be retested, and what your team should prepare first.

SEO mainly improves rankings, clicks, and organic traffic in search results. GEO focuses on whether AI answers from systems like ChatGPT, Perplexity, and Google AI Overview can understand, cite, and recommend your brand. UnderAI keeps SEO foundations, but extends the work into entity trust, answer structure, third-party sources, and retestable prompts.

More customers ask AI which company fits their need, whether a brand is credible, or what alternatives they should consider. If AI cannot recognize your brand, or only cites competitors and scattered information, you lose a recommendation moment before the customer reaches your website.

We build prompt tests around your brand, category, use cases, competitors, and high-intent questions. Then we check whether AI mentions you, how it describes you, which sources it cites, and what trust signals are missing compared with competitors.

The core work includes AI visibility diagnosis, trusted prompt libraries, website GEO content structure, FAQ and answer-page design, brand entity and proof mapping, high-citation source strategy, retesting, monitoring, and staged reporting.

The website cannot only act like a brand brochure. It needs answer-ready pages that clearly explain who you are, who you serve, what problems you solve, how you differ from alternatives, what proof you have, and which questions customers often ask.