This GEO glossary explains the AI-search terms you’ll hear in digital marketing right now, including AEO vs GEO, plus connected concepts like entity SEO and multimodal SEO. Each definition is written in plain English, with a practical “what to do about it” section.
SEO stands for Search Engine Optimisation. It’s the work of improving a website so it earns more visibility in search results and converts that visibility into enquiries, sales, or other actions. SEO usually includes technical improvements, on-page optimisation, content strategy, and authority building.
LLM stands for Large Language Model. It’s a type of AI model trained to understand and generate text, and it’s used in many AI-driven search and assistant experiences.
FAQ stands for Frequently Asked Questions. In digital marketing, an FAQ section is used to answer common questions clearly, reduce hesitation, and match question-style searches people type into Google and AI tools.
Schema usually refers to Schema.org vocabulary used inside structured data, which is machine-readable information added to a page to help search engines understand what the content is about and, in some cases, qualify it for enhanced search results.
Meaning in digital marketing: GEO is about increasing the chance your brand and content are used or cited inside AI-generated answers, where systems summarise information from multiple sources. Think “visibility inside the answer,” not only “ranking as a blue link.”
How it shows up in real campaigns: GEO becomes relevant when a customer asks an AI tool for recommendations, comparisons, definitions, or “best options,” and the AI response includes sources. The marketing goal is to be one of the sources the system trusts enough to reference.
How to implement GEO: Make your key pages easy to reuse accurately. Put definitions near the top, use clear headings, keep each section tightly focused, and include specific details that can be repeated without losing meaning. Strengthen internal linking so search systems can see which page is the primary source on a topic.
Meaning in digital marketing: AEO focuses on becoming the selected answer for a question, especially in answer-first experiences like AI summaries, assistants, and question-style search results.
How it shows up in real campaigns: AEO is strongest for question-led searches where users want one clear response, such as “how does it work,” “what does it cost,” “what’s included,” or “how long does it take.”
How to implement AEO: Answer the question directly and early, then expand with context and specifics. Make sure the page structure mirrors how people think: a clear question, a clear answer, then the proof and details. Where it genuinely fits the visible content, structured data can help reduce ambiguity.
Meaning in digital marketing: AI SEO is a practical umbrella term for doing SEO with modern AI-driven search experiences in mind. It still relies on the fundamentals of crawlability, indexing, and quality content, but it places extra emphasis on clarity and accuracy so AI systems can summarise your content without distorting it.
How it shows up in real campaigns: Marketers use AI SEO language when they want classic organic growth plus visibility in AI summaries and “overview” style results. The aim is typically more qualified discovery, not just more traffic.
How to implement AI SEO: Start with the basics that still drive performance, like fixing crawl and indexing issues and improving page usefulness. Then optimise for understanding: consistent terminology, strong internal linking, and content that answers intent without filler.
Meaning in digital marketing: LLMO is about structuring and maintaining content so large language models can interpret it correctly and are more likely to surface it in AI-generated answers. It overlaps with SEO, but the emphasis is on “model understanding” and “citation readiness.”
How it shows up in real campaigns: LLMO tends to matter most for brands that want to be recommended, referenced, or explained by AI tools, especially for comparisons, definitions, “best tool” lists, and vendor shortlists.
How to implement LLMO: Reduce ambiguity. Use specific headings, define terms the same way across the site, keep important pages current, and avoid burying key statements inside broad paragraphs. Treat your best pages as reliable reference sources that other pages support through internal links.
AEO is about being the best single answer to a specific question. GEO is about being included as a trusted source inside a generated answer that blends information from multiple places. In practice, AEO is often more page-by-page, while GEO is more about your overall topical credibility across a content set.
Meaning in digital marketing: Entity SEO focuses on clear “things” like brands, services, people, products, and locations, plus the relationships between them. It reflects how search systems interpret meaning beyond exact keyword matches.
How it shows up in real campaigns: Entity SEO helps when a brand has inconsistent naming, overlapping service pages, or unclear positioning. It also matters when you want search engines and AI tools to associate your brand with a specific category or expertise area.
How to implement entity SEO: Choose consistent names for core services and concepts, define them clearly, and connect related pages with internal links that reflect real relationships. If two pages cover the same topic, clarify which is the primary reference page and which is the supporting page.
Meaning in digital marketing: Multimodal SEO is optimising content for search experiences that involve more than text, such as images, video, and other formats, where systems interpret multiple signals together.
How it shows up in real campaigns: This is relevant when your audience discovers you through visual search, video results, product visuals, or when AI tools use images and page context together to summarise what you offer.
How to implement multimodal SEO: Make visuals carry meaning. Use images and video that genuinely support the page topic, add accurate descriptive text where appropriate, and use structured data only when it matches what users can see on the page.
Meaning in digital marketing: Structured data is added information in a standard format that helps search engines interpret what your content represents, such as an article, product, organisation, FAQ, or review.
How to implement structured data safely: Only mark up content that is visible on the page and follow Google’s guidelines so your markup stays eligible for enhanced results.
Meaning in digital marketing: FAQPage is a type of structured data used when a page contains a genuine list of questions and answers. In some cases, it can help search engines display the information in enhanced formats, but it only works when the FAQ is real and matches the page content.
Meaning in digital marketing: Google’s Knowledge Graph is a system that stores information about entities (people, brands, places, and concepts) and helps power knowledge panels and other entity-based features in search.
How it matters for SEO and AI visibility: When your brand and services are clearly described and consistent, it’s easier for systems to connect the right facts to the right entity. That supports both classic search understanding and AI summarisation.
Not really. Most GEO, AEO, and LLMO outcomes still depend on core SEO fundamentals like crawlability, page usefulness, and clarity. The difference is that AI-driven results reward content that’s easy to summarise accurately, not just content that repeats keywords.
No, but it can help in specific cases by reducing ambiguity. The priority is still clear writing, clear page structure, and accurate information. Structured data should be used carefully and only when it matches visible content on the page.
If you sell a service and rely on question-led searches, AEO can produce quicker wins because the target queries are clear. If you’re building broader topical authority and want to be referenced across many AI-generated answers, GEO becomes more important. Most brands benefit from combining them because they solve different parts of the same visibility problem.
Most businesses don’t need to chase every new acronym. They need their site to be understood clearly by search engines and AI systems, and they need that visibility to turn into real enquiries. This is where D35ign’s SEO services fit naturally.
As a London-based team, D35ign helps clients build SEO foundations that work in traditional search and newer AI-led experiences. That includes tightening technical performance so key pages can be crawled and trusted, improving page structure so answers are easy to extract and summarise, and shaping content so your services are described consistently across your site. It also includes strengthening internal linking so your most important pages are clearly positioned as the main sources on each topic, which supports both classic rankings and the likelihood of being referenced in generative answers.
For clients, the benefit is simple. Your SEO stops being a set of disconnected tasks and becomes a system that improves visibility, clarity, and conversion at the same time.
If you want your site to rank and show up in AI-driven answers, the next step is building a clearer, more structured SEO foundation. D35ign can help you turn these concepts into practical improvements across your technical setup, content, and internal linking, all within their SEO services. Start by getting a clear view of what’s holding your visibility back, then map the fastest path to better rankings, stronger trust, and more qualified enquiries.
GEO, AEO, AI SEO, and LLMO all point to the same marketing reality: clarity wins. The brands that perform best are the ones that explain what they do in a way that’s easy for real people to trust and easy for modern search systems to interpret accurately. If your pages are structured well, your terminology is consistent, and your content answers intent without fluff, you’re in a much stronger position to earn rankings and be included in AI-generated answers.
If you want this approach applied to your website in a practical, results-focused way, D35ign can fold it into your broader SEO services plan, improving both how you rank and how your brand shows up in AI-led search experiences.
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