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AEO & AI SEO Services

Become a Trusted Answer Source in AI Search Engines

UnderAI helps brands improve visibility across AI search engines such as ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Our AEO and AI SEO services combine prompt research, website optimization, answer-ready content, citation strategy, and retesting to help AI systems understand, trust, and cite your brand.

Explore Our AEO Process

Optimization targets: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews.

Diagnosis

What We Help You Fix

AI search engines summarize choices and recommend brands directly. If AI systems cannot find, understand, or verify your brand, they leave you out of the answer or cite competitors instead. Our services are built for B2B SaaS brands, ecommerce and DTC brands, fintech and Web3 companies, AI tools and software companies, agencies and consultants, and enterprise marketing teams.

  • Missing AI Visibility

    Problem: Your brand does not appear when buyers ask AI search engines for recommendations.

    How UnderAI helps: We audit brand mentions, competitor presence, sentiment, and prompt coverage across AI search engines.

  • Inaccurate Brand Descriptions

    Problem: AI systems describe your services, category, or positioning incorrectly.

    How UnderAI helps: We strengthen entity clarity, brand facts, and official-source signals so AI answers stay accurate.

  • Competitors Cited Instead

    Problem: AI search engines recommend and cite alternative brands.

    How UnderAI helps: We map the citation sources AI systems trust and build the evidence your brand is missing.

  • No Answer-Ready Content

    Problem: Your pages are not structured for AI systems to summarize and cite.

    How UnderAI helps: We create definition pages, comparison pages, FAQs, and decision guides that AI systems can quote.

Service workflow

Our AEO & AI SEO Service Workflow

Six steps to build AEO and AI SEO visibility, connecting audits, prompt demand, answer assets, citation sources, and your official website.

  1. AI Visibility Audit

    We test how your brand appears across AI search engines, including brand mentions, competitor presence, sentiment, citation sources, and missing official-source signals.

  2. Prompt Research

    We build high-intent prompt clusters based on real user scenarios, buyer roles, comparison needs, trust concerns, and commercial value.

  3. AI Signal Audit

    We evaluate whether AI systems can understand your brand entity, category, proof points, service pages, and public evidence.

  4. Answer-Ready Content

    We create definition pages, comparison pages, FAQs, decision guides, methodology pages, and service content that AI systems can summarize and cite.

  5. Citation Source Strategy

    We identify official pages, third-party sources, reviews, directories, media mentions, and expert content that AI search engines may use to verify your brand.

  6. Website AI SEO Optimization

    We improve homepage, service pages, schema, internal links, summaries, headings, FAQs, and stable answer blocks so your website becomes easier for AI systems to read.

Scenario intent matching

Prompt Research and AI Search Intent Mapping

We do not mechanically rewrite keywords as prompts. Prompt research starts by identifying the user's role, task, constraints, and decision-making context behind each AI query.

  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 role
  • Use case
  • Budget limit
  • Compliance risk
  • Alternative brands
  • Implementation condition
Real intent

What 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 clusters
  • Follow-up chains
  • Retesting baseline
Website AI SEO

Website AI SEO Optimization

We 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.

Content architecture

AI-Citable Content and Answer Assets

We 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.

  1. Layer 01

    Brand Recognition

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

    Brand overview, fact card, starter FAQ
  2. Layer 02

    Brand Consideration

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

    Comparison page, scenario recommendation, selection guide
  3. Layer 03

    Brand Trust

    Answer why the brand deserves confidence.

    Research reports, rankings, cases, compliance pages
Global source strategy

Citation Source Strategy

We 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 hub

Official Source Layer

  • Official site

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

  • Authority pages

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

  • Review signals

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

  • Expert content

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

  • Community proof

    Developer docs, forums, social discussion, and reusable product evidence.

Monitoring

Monitoring, Retesting, and Reporting

We retest prompts over time to track brand mentions, citations, sentiment, and competitor visibility, so every optimization cycle starts from a measured baseline.

  • Fixed Prompt Retesting

    Track fixed prompt sets over time to measure changes in brand mentions and answer position.

  • Description Accuracy

    Monitor how AI systems describe the brand and where descriptions drift from official facts.

  • Citation and Competitor Reporting

    Report cited sources, sentiment, and competitor gaps so the next optimization cycle has clear priorities.

White-hat AEO

White-Hat AEO Built on Evidence, Not Manipulation

Poorly executed AEO or 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
Questions

AEO and AI SEO Services FAQ

What are AEO services?

AEO services help brands become visible and citable in AI-generated answers. They focus on answer-ready content, entity clarity, citation sources, prompt coverage, and AI search visibility.

What are AI SEO services?

AI SEO services optimize a website so AI search engines can understand its brand entity, services, content structure, schema, FAQs, and trust signals.

How are AEO services different from traditional SEO?

Traditional SEO focuses on ranking pages in search results. AEO focuses on helping AI search engines include, describe, and cite a brand in generated answers.

Which AI search engines does UnderAI optimize for?

UnderAI focuses on AI search environments such as ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.

What does an AI visibility audit include?

An AI visibility audit reviews brand mentions, competitor visibility, cited sources, sentiment, prompt coverage, official website readiness, and missing trust signals.

Can UnderAI guarantee AI citations?

No responsible AEO or AI SEO provider can guarantee specific AI citations. UnderAI improves the signals that make citations more likely, including clearer content, stronger sources, schema, and prompt coverage.

See all FAQs

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
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