What is Generative Engine Optimization (GEO)?
Generative Engine Optimization, or GEO, is the practice of getting a business or website cited and recommended in answers generated by AI engines like ChatGPT, Claude, Perplexity, and Google AI Overviews, rather than only ranking in traditional search results.
Traditional SEO aims to rank a page in a list of links. GEO aims to make the business the answer the AI gives. The two overlap, strong content and clean structure help both, but GEO adds work that classic SEO ignores: entity consistency, schema written for extraction, and presence in the sources models trust.
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization, or AEO, is the practice of structuring content so answer engines can extract and quote it directly when responding to a question, increasing the chance a business is named in the answer.
AEO and GEO are often used interchangeably. The useful distinction: AEO focuses on the format of a single answer, writing the direct response in the first sentence, while GEO is the broader strategy of becoming the recommended entity across many AI answers.
What are Google AI Overviews?
AI Overviews are AI-generated summaries that appear at the top of Google search results, answering a query directly and citing a small number of sources, often before any traditional blue-link results.
They have changed how clicks work. As of 2026, AI Overviews appear on roughly 18% of Google searches and 57% of long-tail queries (industry tracking, 2026). When one appears, fewer users click through to websites, which is why being one of the cited sources matters more than ranking tenth on a page nobody scrolls.
What is entity SEO?
Entity SEO is the practice of making a business recognizable to search engines and AI models as a consistent, well-defined entity, with the same name, address, description, and attributes everywhere it appears online.
AI engines confirm who you are by cross-checking your details across many sources, the way a fingerprint is matched against many points. If your name or address is inconsistent across directories, the model loses confidence and is less likely to recommend you. Entity consistency is the foundation everything else rests on.
What is share of AI voice?
Share of AI Voice is the percentage of relevant AI-generated answers in which a business is mentioned or recommended, compared with its competitors, across engines like ChatGPT, Perplexity, and Google AI Overviews.
It is the AI-era version of market share for visibility. If ten buyers ask AI for the best option in your category and you are named in three of those answers, your share of AI voice is 30%. Raising that number, against named competitors, is the goal of a visibility engagement.
What is a CitedIQ score?
A CitedIQ score is Verocited's measure of how visible a business is to AI engines and search, expressed as three scores out of 100 across Website Quality, SEO, and AI Searchability, with tier labels from Invisible to Authority.
It is built to be honest. A strong site earns a strong score, and we never inflate problems to sell a fix. The tiers are Invisible (0 to 34), Emerging (35 to 54), Developing (55 to 74), and Authority (75 to 100). See the full methodology or walk through a sample report.
What is AIO (AI Optimization)?
AIO, short for AI Optimization, is the practice of optimizing a business's entire online presence so AI models represent and recommend it accurately. The same acronym is sometimes used for AI Overviews, so context matters: as a strategy it means AI Optimization, as a search feature it means Google's AI Overviews.
AIO, GEO, and AEO overlap heavily. The simplest way to hold them apart: AEO is about the format of one answer, GEO is about being the recommended entity across many answers, and AIO is the umbrella term for optimizing everything an AI model reads about you. Verocited works across all three.
What is LLM SEO?
LLM SEO is search engine optimization adapted for large language models, the practice of making a business's information clear, consistent, and structured enough that models like ChatGPT, Claude, and Gemini retrieve and cite it correctly.
Traditional SEO optimizes for a ranking algorithm that returns links. LLM SEO optimizes for a model that returns an answer and names a few sources. The signals overlap, clean structure and authority help both, but LLM SEO leans harder on entity consistency, structured data, and direct-answer content.
Cited, surfaced, recommended: what these words mean
In AI search, to be cited means an AI engine names your business as a source in its answer. To be surfaced means your business appears in the response at all. To be recommended means the engine actively suggests you over competitors.
These are rungs on the same ladder. Surfaced is the floor, recommended is the goal, and cited is the proof that an engine trusts your information enough to attribute it. The whole point of AI visibility work is to move a business up that ladder.
Why does AI visibility matter now?
AI visibility matters because a fast-growing share of customers now ask AI engines for recommendations before they buy, and those engines name only a short list of businesses per answer.
The shift is real but often overstated. Google is not shrinking, total search actually grew about 26% year over year, with AI taking the new slice (First Page Sage and Graphite analysis, 2026). The honest takeaway is not that traditional search is dead, but that a new, high-intent channel has opened where most businesses are still invisible. Among younger buyers the move is sharpest: roughly 70% of Gen Z use AI tools weekly (generational AI surveys, 2026).
Why AI visibility reaches your highest-intent customer
Your highest-intent customer is the one who already knows what they want and is ready to choose. AI search reaches them at exactly that moment, which is what makes being named in the answer so valuable.
Think about the difference between two searches. Someone who types "what is microneedling" into Google is curious, but they may be months from booking anything. Someone who asks an AI engine "best med spa near me for microneedling, highly rated" is a different person entirely: they know the treatment, they know they want it, and they are asking an AI to help them pick. That second person is your highest-intent customer, and AI search is where they now go.
This is the part most businesses miss. The instinct is to chase traffic, more visitors, more clicks. But a hundred curious browsers are worth less than a handful of people ready to buy. AI engines tend to attract the second kind, because people turn to them to make a decision, not just to look something up. They ask a specific question and expect a short, confident answer naming a few businesses. If yours is one of them, you reach that customer at the precise moment they are choosing. If it is not, a competitor does.
That is the real reason AI visibility matters, and why it is not just another traffic channel. It is the channel where decisions get made. Winning the specific, high-intent questions in your category is the work, and it is where the return is highest.
