AI Search & GEO Vocabulary: The Terms Every Business Should Know in 2026

AI is changing how people search for businesses, services, products, and information — and it has introduced an entirely new vocabulary into digital marketing.

GEO, AEO, LLM, RAG, query fan-out, entities, AI visibility — what does all of it actually mean?

At JKI Marketing, we work with SEO, Generative Engine Optimization (GEO), AI search optimization, website development, and reputation management as parts of one Integrated Marketing strategy.

Here is a practical guide to the most important AI search and GEO terminology businesses should understand in 2026.

GEO — Generative Engine Optimization

Generative Engine Optimization (GEO) is the practice of optimizing digital information so a business, brand, person, product, or service can be more easily discovered, understood, and represented by generative AI systems.

Traditional SEO focuses heavily on visibility within search engines.

GEO expands that thinking to AI-powered discovery through platforms and experiences such as ChatGPT, Gemini, Google AI Mode, and AI Overviews.

GEO does not replace SEO. Strong technical SEO, useful content, clear website architecture, and crawlability remain important foundations.

AEO — Answer Engine Optimization

AEO stands for Answer Engine Optimization.

It focuses on structuring and presenting information so search and AI systems can efficiently identify answers to specific user questions.

For example, instead of writing a vague paragraph about a service, an AEO-oriented page might clearly answer:

What is the service?Who is it for?How does it work?Where is it available?How much does it cost?What should a customer expect?

AEO, SEO, and GEO overlap considerably, but each looks at information retrieval from a slightly different perspective.

LLM — Large Language Model

LLM stands for Large Language Model.

Large Language Models are AI models designed to understand, process, and generate language.

Many of the AI tools consumers now use to research businesses, compare services, and ask complex questions are powered by LLMs.

For marketers, the important point isn’t how to “optimize for an LLM algorithm.”

It is understanding that AI systems need to establish context and relationships, not simply find an exact keyword repeated on a page.

RAG — Retrieval-Augmented Generation

RAG stands for Retrieval-Augmented Generation.

RAG allows an AI system to retrieve information from external sources and use that information when constructing an answer.

Why does this matter for businesses?

Because an AI-generated answer doesn’t necessarily depend exclusively on information stored inside an AI model.

AI systems can retrieve current information from websites and other sources to help formulate responses.

That increases the importance of having clear, accessible, current, well-structured, and credible information available across your digital presence.

Query Fan-Out

Query fan-out is particularly important for understanding how AI-powered search differs from traditional keyword search.

A user may ask one complicated question, but an AI search system can break that question into multiple related searches or subtopics.

For example, someone might ask:

“What is the best marketing agency for a healthcare company that needs a new website, local SEO, and better visibility in AI search?”

Behind that single question, a search system may explore multiple concepts related to:

Marketing agencies → Healthcare marketing → Website development → Local SEO → GEO → Reputation → Location → Expertise

This is one reason modern SEO and GEO cannot revolve exclusively around ranking for one exact keyword.

Businesses need enough topical depth, entity clarity, and semantic structure for search systems to understand the broader context of what they provide.

Entity

An entity is a clearly identifiable person, company, organization, place, service, product, or concept.

For example:

JKI Marketing is an entity.

A company’s founder can be an entity.

A location can be an entity.

A service or product can be an entity.

Modern search systems increasingly try to understand not only individual words but also what those words represent and how different entities relate to one another.

Entity Optimization

Entity optimization is the process of making those identities and relationships clearer throughout a company’s digital presence.

Instead of thinking only:

“What keyword should we rank for?”

we can think about relationships such as:

Company → People → Services → Expertise → Industries → Locations → Credentials → Evidence

This can influence how we develop About pages, provider profiles, service pages, location information, FAQs, internal linking, structured data, case studies, and other website content.

The objective is to create a clear and consistent digital representation of the business.

Semantic Relationships

Semantic relationships describe how different entities, subjects, and concepts relate to one another.

For example:

JKI Marketing → Website Development → SEO → GEO → AI Search Optimization

Or:

Healthcare Practice → Provider → Credentials → Treatment → Location

Search and AI systems can use contextual relationships to develop a deeper understanding of a topic than they could from isolated keywords alone.

This is one reason information architecture has become increasingly important for modern SEO and GEO.

AI Visibility

AI visibility describes how frequently and prominently a business, brand, product, service, or person appears in relevant AI-generated search results and answers.

Instead of asking only:

“Where do we rank on Google?”

businesses can increasingly ask:

“For which AI queries do we appear?”

“Which AI platforms mention us?”

“Which competitors appear when we don’t?”

“What topics does AI associate with our business?”

This creates another measurable dimension of search visibility.

AI Visibility Measurement

AI visibility measurement is the process of tracking a brand’s presence across AI search and answer environments.

At JKI Marketing, we evaluate factors including:

• AI visibility scores

• User-query wording

• Relevant prompts and requests

• AI platforms surfacing the business

• Competitive visibility

• Potential growth opportunities

• Changes in visibility over time

For example, during our work with Chatham Speech Therapy, we measured a 265% increase in user queries on AI within the first month of optimization.

For Dogpatch Biofuels, focused SEO/GEO and AI optimization resulted in approximately a 170% increase in AI visibility.

AI visibility is becoming another performance indicator businesses can evaluate alongside rankings, organic traffic, conversions, and leads.

Non-Commodity Content

Non-commodity content is information that provides something genuinely original rather than repeating what already exists across hundreds of websites.

Examples include:

• Original data

• Case studies

• First-hand professional experience

• Proprietary processes

• Expert analysis

• Original research

• Client results

• Industry observations

• Original photography or video

• Unique professional opinions

As AI makes generic content increasingly easy to produce, original expertise becomes more valuable, not less.

A business doesn’t necessarily need more content.

It needs more information worth finding.

Information Architecture

Information architecture is the way information is organized and connected across a website.

It includes page hierarchy, navigation, service categories, internal linking, content relationships, and how easily someone can move from general information to more specific information.

Good information architecture helps:

Users navigate.Search engines crawl and understand.AI systems establish context and relationships.

This is why JKI Marketing treats website structure as part of both SEO and GEO optimization.

NAP — Name, Address, Phone

NAP stands for Name, Address, and Phone.

Consistent NAP information has long been important for local SEO because it helps establish a business’s identity and physical location.

In the AI-search era, we see this as part of a larger principle: factual consistency.

A business should provide clear and consistent information about who it is, where it operates, what it does, and how customers can contact it across its website and broader digital presence.

Structured Data / Schema Markup

Structured data is standardized machine-readable information added to website code to help search engines understand specific elements of a page.

Schema markup can identify information related to organizations, people, products, articles, breadcrumbs, events, and other entities.

Structured data can reinforce website meaning, but it is not a magic GEO solution.

Good Schema should accurately represent information that is already clear and visible on the website.

AI SEO

AI SEO is an informal umbrella term increasingly used to describe optimization for search environments that incorporate artificial intelligence.

Depending on who is using the term, AI SEO may include traditional SEO, GEO, AEO, entity optimization, content optimization, and AI visibility measurement.

There is no universally standardized definition.

That’s important because the terminology surrounding AI search is still evolving.

SEO, GEO, AEO — Which One Does Your Business Need?

Probably not just one.

Customers don’t experience these channels separately.

Someone might discover a company in an AI-generated answer, search its name on Google, read its reviews, visit its website, verify its credentials, compare its services, and finally submit a form.

That is one customer journey involving multiple digital signals.

At JKI Marketing, this is why we believe in an Integrated Marketing approach.

A website shouldn’t be optimized for SEO, AI, or humans separately. It should create one clear information structure that works for all three — supported by credibility and reputation signals outside the website itself.

The terminology will continue to evolve.

The fundamental objective is much simpler:

Be easy to find.Easy to understand.Easy to verify.Easy to trust.And easy to choose.

SEO & GEO Optimization with JKI Marketing

JKI Marketing provides SEO, GEO / Generative Engine Optimization, AI search optimization, entity optimization, website development, local SEO, reputation management, and conversion strategy for businesses in Tampa Bay, Florida, New Jersey, and across the United States.

Our approach combines human analysis with search and AI data to build a connected digital presence for how people discover businesses today — and where search is going next.