Market baseline
Clarify category, competitors, buyer scenarios, and GEO KPI baseline.
GEO Service System
A complete service workflow for becoming an AI answer source
UnderAI connects diagnosis, prompt research, answer-ready content, high-citation sources, website GEO, monitoring, and reporting so AI systems and real buyers can understand why your brand deserves trust.
Service strategy
Six steps to build a GEO trust strategy
A compact execution map that connects market context, prompt demand, AI signals, answer assets, citation sources, and your official website.
Intent prompt clusters
Build priority prompt clusters from real user scenarios, constraints, and competitor intent.
AI signal audit
Measure visibility, sentiment, ranking, citation depth, and official-source presence.
Answer assets
Plan pages that define the brand, prove claims, compare options, and answer FAQs.
Citation sources
Place evidence in sources models can crawl, trust, verify, and reuse.
Website hub
Upgrade official pages with schema, summaries, internal links, and stable answer blocks.
Scenario intent matching
Match real user intent from concrete decision scenarios
We do not mechanically rewrite keywords into prompts. GEO starts by restoring the user role, task, constraints, and decision context behind each AI question.
1
Scenario signal capture
Collect cues from buyer role, product use, budget, compliance, alternatives, and urgency.
2
Intent classification
Separate solution seeking, comparison, trust validation, risk reduction, and implementation needs.
3
Prompt cluster output
Create primary questions, follow-ups, condition-based questions, and retesting baselines for each scenario.
Buyer roleUse caseBudget limitCompliance riskAlternative brandsImplementation conditionBuyer roleUse caseBudget limitCompliance riskAlternative brandsImplementation condition
Real intentWhat task is the user trying to finish?
Intent comes before prompt wording. We identify the decision job first, then organize how AI should be asked and retested.
Find a solution
Which type of solution fits this scenario?
Compare options
How does this brand differ from alternatives?
Validate trust
What proof, source, or case makes the answer credible?
Reduce risk
What limitations, costs, or compliance issues should I check?
Structured output
Scenario prompt clustersFollow-up chainsRetesting baseline
Content architecture
Build AI-citable knowledge assets in three layers
Every page should be written as a standard answer that an AI model can summarize, quote, and verify.
Brand cognition
Answer who the brand is, what it does, and who it is for.
Brand overview, fact card, starter FAQBrand selection
Answer why to choose the brand and how it differs from competitors.
Comparison page, scenario recommendation, selection guideBrand trust
Answer why the brand deserves confidence.
Research reports, rankings, cases, compliance pagesGlobal source strategy
Build evidence global AI answer engines can trust
UnderAI maps the proof layer around the sources ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews are more likely to validate.
Evidence hubOfficial truth layer
Structured brand facts, product pages, FAQ, schema, and source links.
Analyst notes, industry media, partner pages, and credible third-party profiles.
Independent reviews, comparison pages, ratings, and customer proof.
Guides, reports, data pages, and explainers that answer category questions.
Developer docs, forums, social discussion, and reusable product evidence.
Website GEO optimization
Upgrade the official website into an AI trust hub
The website should not only convert visitors. It should define the brand, explain the category, and provide AI with stable standard answers.
Definition capability
Make the brand, category, audience, proof, and differentiation machine-readable.
Explanation capability
Answer how users should evaluate the category and why the brand fits.
Citation capability
Use stable headings, summaries, FAQ blocks, evidence sections, schema, and internal links.
White-hat GEO
We do not use old-world tricks against new-world trust systems
GEO done wrong can damage long-term brand trust in AI systems. UnderAI avoids content poisoning, low-quality mass publishing, unstable prompt manipulation, and guaranteed-citation claims.
Long-term public trust signals
Explainable evidence and retesting
Official-source ownership
No short-term AI content poisoning
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