SEO Glossary

SEO Glossary: Terms & Acronyms Explained

AIO, GEO, LLMO, E-E-A-T – explained simply, with hands-on context

SEO is full of acronyms and buzzwords, and every provider explains them a little differently. Here you get the most important terms explained briefly – with the point most definitions leave out: what really counts for rankings in 2026, and where the hype begins.

Christian Ott, SEO consultant
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Terms
6
Topics
Updated
Practice, not a lexicon Every term linked Kept up to date Clear context, no hype

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Topic

AI Search: AIO, GEO, AEO & LLMO

AI Overviews (AIO)

Google’s AI-generated answer boxes above the organic results. They assemble their answer from several sources (query fan-out) – being cited brings visibility, but depending on search intent and presentation it can lead to fewer clicks than classic organic results.

AI Mode

Google’s conversational search mode with its own interface. The difference to AI Overviews: AI Mode is a separate search experience, while AIO is just a box within the classic SERP.

GEO / AEO

Generative and Answer Engine Optimization respectively – optimizing for AI and answer engines. In practice, GEO/AEO largely matches classic SEO but often gets a new label: clean structure, entities, citability.

LLMO

Large Language Model Optimization – the discipline of showing up in the answers of ChatGPT, Gemini & co. In my view LLMO is not a replacement for SEO, but complements it as an additional layer of visibility.

Grounding

Anchoring AI answers in verifiable sources to reduce hallucinations. For SEO, grounding is an important mechanism that, by current observation, is often a prerequisite for becoming citable as a source.

Zero-Click Search

Searches that end without a click because the answer sits directly in the SERP. The consequence: think of impressions and clicks separately – visibility today does not automatically equal traffic.

llms.txt

A proposed Markdown file in the site root meant to give LLMs structured access to your core content. Adoption by the major AI providers is, by current observation, not yet widely confirmed as of 2026.

Preferred Sources

A feature that lets users set preferred sources for AI Overviews and AI Mode. For publishers, Preferred Sources can be a lever to show up more visibly in AI answers shown to their own regular readers.

Google AI Max

Google’s AI-powered campaign feature in Ads that automates keywords, creatives and placements. For organic SEO it mainly matters as context: where paid AI surfaces grow, organic space can tend to shrink – a common observation from practice.

Open Knowledge Format (OKF)

A format proposal for structuring knowledge in a machine-readable, AI-friendly way. As of 2026 an early concept – relevant as a signal of where structured content for LLMs might be heading.

SEO in AI browsers

AI browsers summarize page content and answer questions instead of just showing links. That shifts the click logic again – your content has to carry even when nobody opens it in full.

Topic

Google Algorithm & Updates

Google Core Update

A broad adjustment of the core ranking systems, several times a year. Not a penalty but a re-evaluation of relevance and quality – those who drop often have a substance problem, not a technical one.

Query Processing / Query Fan-Out

Google’s breaking down of a query into several sub-queries, especially in AI Mode. It explains why a page can be cited for an entire topic field – or not.

Crawling & Indexing

The two steps before any ranking: Google first has to find a page (crawling) and add it to the index. What is not indexed does not rank – no matter how good the text is.

Quality Rater

Human reviewers who assess search results against the Quality Rater Guidelines. They do not influence any single ranking directly, but train and calibrate the systems.

Ranking System

The interplay of many individual systems – not „the one algorithm“ – and increasingly ML-driven. This makes monocausal explanations like „factor X costs you the ranking“ mostly useless.

Google API Leak / User Signals

A content-warehouse API dataset allegedly leaked in 2024, discussed in the SEO community as a leak and said to contain thousands of internal ranking attributes – including hints at click and user signals. It is no proof of live ranking, and interpretations of it are contested – but one of the deepest looks into Google’s possible signal world.

Google Discover

Google’s personalized content feed outside of classic search. Traffic without keyword intent – volatile, but a visibility channel of its own for visually strong, timely content.

Topic

Technical SEO

Crawl Budget

The resources Google spends on crawling a domain. Rarely a real problem for small sites – relevant only for large, dynamic or poorly structured sites.

Core Web Vitals

Google’s performance metrics LCP, INP and CLS. A tie-breaker signal: poor values hurt, perfect values alone won’t push you to the top.

JavaScript SEO / Rendering

The question of whether Google sees your JS-generated content. Rendering happens, but can be delayed or incomplete – server-side delivered content remains the safest route.

robots.txt

Controls which crawlers may access which paths (RFC 9309). Important in 2026: AI crawlers like GPTBot or Google-Extended can be addressed here specifically.

Structured Data / Schema

Machine-readable markup (JSON-LD) of your content. It brings no rankings directly, but helps Google and AI systems capture entities and context cleanly.

AI Crawlers / User-Agents for AI Agents

Bots like GPTBot, ClaudeBot, PerplexityBot or Google-Extended that fetch content for AI training and answers. Controllable via robots.txt – you decide who may read you for the AI era.

Topic

Content & Quality

E-E-A-T

Experience, Expertise, Authoritativeness, Trust – a framework from the Quality Rater Guidelines. Not a direct ranking factor, but the bundle of signals that explains why thin content doesn’t rank despite keywords.

Commodity Content / contentEffort

Interchangeable content that any AI delivers in seconds. The contentEffort hint surfaced in the 2024 Google API leak suggests that effort and substance could be measurable – so differentiation is advisable.

AI Texts & Google

Google judges not the method of production but the quality. By Google’s current statements, AI text is allowed – thin, redundant AI text is the problem, no matter who wrote it.

Content Pruning

The targeted removal or merging of dead, weak content. Fewer but stronger pages often beat a bloated archive.

Topic

Spam, Black Hat & Manipulation

Parasite SEO

Exploiting the authority of strong third-party domains to rank your own – often low-quality – content. Google has been cracking down on this since 2024: a short-term lever with growing risk.

Black Hat SEO

Manipulation techniques against Google’s guidelines – from cloaking to link spam. Sometimes works briefly, costs visibility long-term; in the gambling space a permanent phenomenon.

CTR Manipulation

The artificial generation of clicks to fake better user behavior to Google. Whether and how strongly CTR ranks at all is contested – the manipulation stays risky and mostly detectable.

Site Reputation Abuse

Placing off-topic content on an authoritative domain to hijack its reputation (e.g. iGaming on news sites). Google has sanctioned this as a standalone violation since 2024.

Missing a term? Write to me – the glossary grows with the topics I publish on.

Want this not just explained, but actually implemented?

I help you translate these concepts into measurable rankings – data-driven and without the hype, tailored to your project, market and constraints. Prefer to dig in yourself? The whole system is in my book Das SEO-Kreativ Handbuch (in German) – 296 pages, 20 chapters, from the foundations to a 90-day plan.

The assessments in this glossary are based on my own experience and current observations, with no claim to completeness or official confirmation by Google. Brands mentioned (e.g. Google, Gemini, ChatGPT) belong to their respective owners; Google is a trademark of Google LLC.