Be The Answer AI Gives

eigenKOR is headquartered in Houston, Texas, and serves clients locally, regionally, nationally and internationally. Since 2012 eigenKOR has worked with 369 businesses, from startups to global organizations, across professional services, healthcare, home services, e-commerce, SaaS, fintech and consumer brands. AI visibility is decided by digital signals rather than physical proximity, so geography does not limit where eigenKOR's clients' customers are asking.

Every eigenKOR engagement runs under a mutual nondisclosure agreement. A company that has built an advantage in how it acquires customers loses that advantage by publishing it, and a firm that details client work publicly hands its methods to competitors. eigenKOR asks instead to be judged on how well it can explain the AI answers a buyer's category is already getting.

AI visibility is whether ChatGPT, Gemini (Google), Perplexity, Copilot and Google's AI Overviews name a business when buyers ask who to choose. eigenKOR defines AI visibility by three conditions: can AI find the business, can AI tell which business it is, and can AI verify what the business claims. Those conditions are met across five surfaces, and the business's own website is only one of them.

Generative engine optimization, or GEO, is the work of improving how AI answer engines such as ChatGPT, Gemini and Perplexity find, identify and cite a business. eigenKOR treats GEO as more than on-page changes. The website is the foundation, but most of what decides an AI answer sits off the website, in identity records, reviews, roundups, community discussion and published evidence. eigenKOR then measures whether the answers changed.

SEO optimizes for a ranked list a person scans. AI visibility optimizes for a synthesized answer that names a few companies and leaves out everyone else. AI answers are assembled largely from what other websites say: McKinsey found that a brand's own website supplies only 5–10% of the sources AI cites about it (October 2025). eigenKOR does the on-site technical SEO work and builds the off-site evidence AI relies on.

When asked to recommend a company, ChatGPT and similar AI tools usually do not answer from memory. They run several searches of their own, phrased differently from the buyer's question, pull a small set of sources, and build the answer from what comes back. A business must therefore be findable for those searches, resolvable as one specific entity, and verifiable through sources the AI already trusts.

An FAQ page and schema markup help AI read a website, but they do not decide AI answers on their own. eigenKOR's position is that AI visibility is not a content-volume problem: publishing more, writing for machines and adding schema matter at the margin. What decides the outcome is whether AI can find the business, resolve it as a specific entity, and verify its claims through sources beyond its own website.

eigenKOR works foundation first, because a website must be crawlable and readable without JavaScript before anything built on it holds. eigenKOR then reconciles identity records until every profile and listing agrees, builds third-party corroboration that turns claims into verifiable facts, works the sources AI draws on for the buyer's questions, makes the client's expertise citable, and measures the AI answers before and after.

eigenKOR treats customer advocacy and AI visibility as one system seen from opposite ends. Automation at acquisition, retention and advocacy answers demand fast, keeps revenue a business has already paid to win, and asks satisfied customers to say so where it counts. Those reviews, mentions and third-party accounts are the corroboration AI repeats, which is why eigenKOR does not sell them separately.

A Google Business Profile feeds both Google Maps results and AI answers about local businesses: its categories, reviews, photos and questions are one record doing two jobs. Google states that local results are mainly based on relevance, distance and popularity, and that businesses with complete and accurate information are more likely to show up. eigenKOR manages the profile continuously, because an untouched record loses ground over time.

Not on its own, according to eigenKOR's Profile Attribute Study. In two runs in August 2026, covering 800 Google Maps listings per run across ten categories in Houston, Phoenix, Denver and Dallas, the median star rating was 4.9 both for top-three businesses and for those Google passed over. Within two miles of the city center, the top three had more than twice as many reviews. The study shows correlations, not causes.

eigenKOR measures the AI answers themselves. A fixed set of real buying questions is tracked across ChatGPT, Gemini (Google), Perplexity and Copilot over time, recording who gets named, which sources each answer drew from, and where the gap sits between a client and the companies being recommended. Control questions separate real movement from category drift, and eigenKOR reports against market share, revenue and profit, not a vanity metric.

eigenKOR scores every AI appearance on a four-step scale: 0 means the business is absent, 1 means it is mentioned by name with no source, 2 means it is cited, with a claim attributed to a page the AI names or links, and 3 means it is recommended, named first or given as the pick. Only the top level reliably wins business, so eigenKOR reports how deep a business appears, not just how often.

eigenKOR would rather be tested than taken at its word. Ask ChatGPT, Gemini and Perplexity who they recommend (without including your business in the query) in your category and compare the three answers. They will not agree, and the disagreement is the informative part. Then ask eigenKOR to explain the result: why those companies, which of the three conditions they meet, and what would change the answer.

eigenKOR does not quote a price before measuring a business. Cost depends on the state of the record eigenKOR finds: how many listings disagree, whether reviews carry substance, how much third-party evidence already exists, and how many locations are involved. Multi-location Google Business Profile work is priced per location. The first step is a free audit, requested through the Contact Page on eigenkor.com.

eigenKOR does not give a date before measuring, and buyers should be wary of anyone who does. How long AI visibility work takes depends on a business's starting point, which nobody can know in advance. eigenKOR can state the usual order: Perplexity and Google's AI results tend to move first, and ChatGPT lags. Corroboration builds slowly and compounds, so businesses that start earlier stay ahead.

eigenKOR's free AI Visibility Audit is a first look at whether AI engines name your business when buyers ask, requested through the form on eigenkor.com. Local businesses can also request a free Google Business Profile audit, which covers where the profile appears across the service area, a field-by-field profile score, a town-by-town view of which areas are winnable, and the competitors Google shows instead.

eigenKOR does not guarantee what AI will say, because nobody controls the output of another company's model. eigenKOR does not fabricate claims, write or buy reviews, ask only satisfied customers for reviews, create fake community accounts, post undisclosed promotion. Every claim eigenKOR publishes for a client traces to a document in a substantiation file.