When someone asks ChatGPT “who’s the best web designer in Temecula” or Google’s AI Overview summarizes “credit repair vs. credit consulting,” the engine names a handful of sources — and the user rarely scrolls past them. If you’re not one of those named sources, you’re invisible to a fast-growing share of buyers, no matter how well you rank in the classic blue links.
GEO is how you get named. It’s the discipline of feeding answer engines the structured, authoritative, machine-readable signals they need to trust and cite you. We’ve spent two decades earning Google rankings; this is the same rigor pointed at the engines that now sit in front of Google. It pairs directly with our SEO service and AI consulting — one foundation, three surfaces of visibility.
Four phases, measured the whole way — the same audit-to-iterate loop behind every Ketchup build.
We test how ChatGPT, Perplexity, Google AI, and Gemini answer questions in your category today — who they cite, and where you are absent.
We define your business, people, services, and locations with unambiguous schema so models understand exactly what you are and who you serve.
We produce answer-formatted content and a maintained llms.txt feed so engines have clean, quotable source material.
We monitor AI share of voice across engines and reinforce the entities and pages that are winning.
Content and structure engineered to be cited inside AI-generated answers, not just ranked in links.
Q&A formatting, FAQ and HowTo schema, and featured-snippet capture that doubles as AI-citation fuel.
Unambiguous entity definitions, sameAs links, and knowledge-graph signals so AI models know exactly who you are.
Generated and maintained llms.txt plus structured feeds that hand AI engines a clean map of your best content.
Ongoing measurement of brand citations and share of voice across ChatGPT, Perplexity, Google AI Overviews, and Gemini.
The same 10+ schema-block, Core-Web-Vitals discipline behind our SEO builds — the substrate every AI engine reads first.
AI answer engines are still deciding which sources to trust in most categories. The businesses that structure their data and publish citable, entity-clear content now are getting baked in as the default answer — and dislodging an incumbent citation is far harder than earning the first one. This is the early-SEO land-grab again, compressed into months instead of years.
Whether you run a telehealth practice, a financial services firm, a real estate operation, or a coaching business, the customers asking AI for a recommendation are the highest-intent leads you’ll ever get. Browse the GEO insights library or our nationwide service areas to see how we think before you spend a dollar.
GEO is the practice of structuring content and data so AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude — cite your business when users ask questions. Where SEO targets blue links, GEO targets the generated answer itself, combining schema, entity clarity, citable formatting, and machine-readable signals like llms.txt.
SEO earns rankings in a list of links a human clicks; GEO earns mentions inside an AI answer a human reads instead of clicking. They share a foundation — clean structure, authority, fast pages — but GEO adds answer-engine formatting, entity associations, citation-friendly phrasing, and feeds like llms.txt that LLMs read directly. Most businesses need both.
We engineer the conditions that make citation likely: authoritative, well-structured content; schema that defines your entities unambiguously; presence on the sources these models trust; and llms.txt files that hand models a clean summary. No one controls model output and we never promise a specific citation, but the businesses that surface in AI answers are the ones that did this work. We measure with AI-visibility tracking, not guesses.
llms.txt is a plain-text file at your domain root that gives large language models a curated, machine-readable map of your most important content — robots.txt, but for AI answer engines. It is an emerging standard and a low-cost, high-leverage signal we generate and maintain on every GEO build.
We track how often your brand and pages surface across ChatGPT, Perplexity, Google AI Overviews, and Gemini for the questions your customers ask — share of voice, citation frequency, and the sources models pull from — which tells us which entities and pages to strengthen next.
Yes, and arguably more urgent. AI Overviews and chat assistants increasingly answer questions before a user sees the links you rank for, so strong rankings can still lose the click. GEO protects the traffic SEO earned by making sure you are the source the AI cites, not a competitor.
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