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 for global brands seeking stronger visibility in AI search and marketing teams evaluating GEO—helping AI systems understand, evaluate, and cite official brand sources so real buyers see why the 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.

Market baseline

Clarify category, competitors, buyer scenarios, and GEO KPI baseline.

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 as prompts. GEO starts by identifying the user's role, task, constraints, and decision-making context behind each AI query.

Scenario signal capture

Collect cues from buyer role, product use, budget, compliance, alternatives, and urgency.

Intent classification

Separate solution seeking, comparison, trust validation, risk reduction, and implementation needs.

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 Is the User Trying to Accomplish?

Intent comes before prompt wording. We identify the decision-making goal first, then structure the AI queries and retesting process around it.

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 provide a clear, authoritative answer that AI systems can accurately summarize, cite, and verify.

Layer 01

Brand Recognition

Answer who the brand is, what it does, and who it is for.

Brand overview, fact card, starter FAQ

Layer 02

Brand Consideration

Answer why to choose the brand and how it differs from competitors.

Comparison page, scenario recommendation, selection guide

Layer 03

Brand Trust

Answer why the brand deserves confidence.

Research reports, rankings, cases, compliance pages

Global source strategy

Build evidence global AI answer engines can trust

UnderAI maps the proof layer around sources that ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews are more likely to trust and cite.

Evidence hubOfficial Source Layer

01Official site

Structured brand facts, product pages, FAQ, schema, and source links.

02Authority pages

Analyst notes, industry media, partner pages, and credible third-party profiles.

03Review signals

Independent reviews, comparison pages, ratings, and customer proof.

04Expert content

Guides, reports, data pages, and explainers that answer category questions.

05Community proof

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 clear, stable, and authoritative answers AI systems can understand and cite.

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

Responsible GEO Built on Evidence, Not Manipulation

Poorly executed GEO can damage a brand's long-term credibility across AI systems. UnderAI avoids content poisoning, low-quality mass publishing, manipulative prompt tactics, and citation guarantees.

Long-term public trust signals

Explainable evidence and retesting

Official-source ownership

No short-term AI content poisoning

Talk to UnderAI

Find out why AI is not recommending you yet

See the prompts you are losing Identify the buyer questions where competitors appear, but your brand is absent, vague, or unsupported.

Find the trust signals AI is missing Spot source conflicts, weak official pages, missing schema, and evidence gaps that block citations.

Know what to fix first Get a clear repair path your content, PR, brand, and website teams can act on.

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