Questions about GEO services, AI citations, and website optimization

SEO primarily improves rankings, clicks, and organic traffic in search results. GEO focuses on whether AI systems such as ChatGPT, Perplexity, and Google AI Overviews can understand your brand, evaluate its official sources, and include it appropriately in relevant answers. UnderAI builds on established SEO foundations while extending the strategy to entity authority, answer structure, third-party evidence, and repeatable prompt testing.

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.

UnderAI is for global brands and marketing teams evaluating GEO, especially teams whose brands are missing from AI answers, described vaguely, cited through competitors or scattered third-party sources, or not yet supported by official sources that AI systems can understand, evaluate, and cite.

UnderAI helps organize real public evidence that AI systems can verify and cite, including official pages, FAQ and answer blocks, structured brand facts, media and citation-source planning, high-citation source strategy, and—when available—customer cases, reviews, certifications, partner evidence, or other third-party proof. The goal is to make real evidence easier for AI systems to find, understand, and verify, not to invent claims.

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.

No, and that would not be a responsible promise. AI answers change with model versions, prompt phrasing, available public sources, and retrieval behavior. UnderAI improves the probability of being understood, verified, and cited, then tracks changes through fixed prompt retesting.

Diagnosis can quickly reveal how AI currently understands the brand. Website structure, FAQ, and answer-page improvements usually need weeks to become retestable signals. External sources and authority building take longer and should be treated as a longer-term track.

Prepare brand positioning, product or service lists, target customers, competitors, priority website pages, existing content, media coverage, customer cases, certifications, and the business questions you most want AI to answer correctly.

Yes, but the strategy changes. Early-stage brands usually start by strengthening official answers, service proof, case materials, and brand entity clarity, then build industry directories, partner pages, media content, reviews, and other third-party sources over time.

No. UnderAI does not use content poisoning, low-quality mass publishing, or opaque manipulation. We prioritize real business information, structured answers, evidence chains, source quality, and retestable results.

We retest a fixed prompt set and track brand mentions, answer position, description accuracy, cited sources, competitor comparison, and whether the official website is used as a source. GEO should be measured by trend changes, not one-off screenshots.