AI SEO Services

Optimize Your Website for AI Search Engines

UnderAI helps brands improve how AI search engines understand, describe, and cite their websites. We combine AI SEO, AEO, prompt visibility testing, technical optimization, schema, and answer-ready content for platforms such as ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.

View the AI SEO Process

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

Quick Answer

Quick Answer

AI SEO is the process of optimizing a website so AI search engines can understand the brand entity, service pages, content hierarchy, schema, FAQs, and citation signals.

The goal is not only to rank in search results, but to be accurately summarized, recommended, and cited in AI-generated answers.

Diagnosis

What AI SEO Fixes

AI search engines compress research into direct answers. If your website is vague, thin, hard to crawl, or missing proof, AI systems may describe you incorrectly or recommend competitors instead.

  • Brand Entity

    Problem: AI cannot clearly identify your category.

    How UnderAI helps: We clarify brand facts, category language, homepage positioning, service definitions, and structured data.

  • Website Structure

    Problem: Important pages are not answer-ready.

    How UnderAI helps: We turn service pages, FAQs, comparison pages, and guides into clean answer sources for AI search engines.

  • Technical SEO

    Problem: Signals are incomplete or inconsistent.

    How UnderAI helps: We check canonical tags, sitemap coverage, robots access, internal links, schema, headings, and crawlable HTML.

  • Citation Trust

    Problem: AI has weak evidence to cite.

    How UnderAI helps: We identify official and third-party sources that can help AI systems verify your claims and trust your brand.

Comparison

AI SEO vs AEO vs Traditional SEO

UnderAI uses AI SEO and AEO together. AI SEO improves how AI engines read your website; AEO improves how answer engines use your content in generated recommendations.

Optimization TypeMain GoalPrimary TargetBest Output
Traditional SEORank pages in search results and earn organic clicksGoogle and Bing result pagesRankings, impressions, traffic, clicks
AI SEOHelp AI search engines understand your website and brand entityWebsite structure, schema, page hierarchy, summaries, FAQsClear brand understanding and AI-readable official sources
AEOGet included, described, and cited in generated answersPrompts, answer blocks, citation sources, comparison assetsMore stable visibility in ChatGPT, Perplexity, Gemini, Claude, and AI Overviews
GEOImprove visibility across generative engines and LLM answer systemsEntity signals, content evidence, source trust, model-facing contextBroader AI answer presence and better brand interpretation
Process

The UnderAI AI SEO Process

The workflow is built for teams that need practical website changes, not abstract AI visibility reports.

  1. Audit AI Search Visibility

    We test high-intent prompts across AI search engines to see whether your brand appears, how it is described, which competitors show up, and which sources are cited.

  2. Map AI SEO Gaps on Your Website

    We review title tags, descriptions, H1/H2 hierarchy, canonical tags, schema, robots access, sitemaps, internal links, summaries, and page crawlability.

  3. Clarify the Brand Entity

    We tighten the way your site explains who you are, what category you belong to, what you do, who you serve, and what proof supports your claims.

  4. Create Answer-Ready Page Blocks

    We add quick answers, key takeaways, FAQs, comparison tables, service definitions, and decision sections that AI engines can summarize accurately.

  5. Strengthen Citation Signals

    We identify official pages, third-party sources, review pages, directories, media mentions, and knowledge assets that AI systems may use to verify your brand.

  6. Retest Prompts and Monitor Changes

    We retest AI prompts after implementation to track mentions, citations, sentiment, competitor visibility, and answer stability over time.

The AI SEO workflow as a six-station rail, in delivery order.
Deliverables

What You Get

Every engagement turns AI SEO strategy into concrete website changes and measurable prompt visibility checks.

  1. AI SEO Website Audit

    A prioritized review of technical SEO, schema, content hierarchy, crawlability, internal links, and official-source readiness.

  2. AI Search Prompt Library

    A prompt map organized by buyer intent, product category, comparison behavior, brand trust questions, and commercial value.

  3. Answer-Ready Page Copy

    Homepage, service page, FAQ, comparison, methodology, and guide copy written to be clear for users and extractable by AI systems.

  4. Structured Data Plan

    Recommended Organization, WebSite, Service, FAQPage, Article, BreadcrumbList, and WebPage schema for priority pages.

  5. Citation Source Roadmap

    A plan for strengthening official and third-party evidence so AI search engines have better sources to verify your brand.

  6. Retesting Report

    Prompt-level tracking for brand mentions, competitor presence, citations, sentiment, official-source usage, and answer changes.

Audience

Built for Brands That Need AI Search Visibility

AI SEO is especially useful when buyers ask AI systems for product recommendations, vendor comparisons, category definitions, risk checks, and best-fit shortlists.

  • B2B SaaS

    Improve visibility for category, alternative, comparison, and feature prompts.

  • Ecommerce and DTC

    Help AI understand product use cases, reviews, buying guides, and differentiation.

  • Fintech and Web3

    Clarify compliance, security, product scope, trust, and institutional relevance.

  • Agencies

    Build prompt libraries, AI SEO audits, and answer-ready assets for client brands.

  • Enterprise marketing teams

    Align SEO, PR, content, product marketing, and brand trust signals for AI search.

Questions

AI SEO FAQ

What is AI SEO?

AI SEO is the process of optimizing a website so AI search engines can understand the brand entity, service pages, content structure, schema, FAQs, and citation signals.

How is AI SEO different from traditional SEO?

Traditional SEO focuses on rankings and organic clicks. AI SEO focuses on whether AI search engines can understand, summarize, recommend, and cite a brand in generated answers.

Is AI SEO the same as AEO?

They overlap, but they are not identical. AI SEO improves how AI search engines read and understand your website. AEO focuses on making your brand and content easier to include in answer-engine responses.

Which AI search engines does UnderAI optimize for?

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

Can AI SEO guarantee citations?

No responsible AI SEO provider can guarantee a specific citation. UnderAI improves the conditions that make citations more likely by strengthening entity clarity, answer-ready content, technical structure, schema, and public evidence.

See all FAQs

Consult
Start with an audit

Find Out Why AI Search Engines Are Not Citing Your Brand

Get a practical AI SEO diagnosis of your website, prompt visibility, official-source readiness, schema gaps, answer assets, and citation signals.

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