Google's AI-generated summary that appears at the top of search result pages, synthesising information from multiple sources into a single answer. Appearing inside an AI Overview requires strong E-E-A-T signals, structured data, clear factual writing, and topical authority — not just high traditional rankings.

The practice of structuring content to directly and concisely answer the questions that AI-powered answer engines — including Google AI Overviews, Perplexity, and voice assistants — are trained to respond to. AEO prioritises question-intent alignment, FAQ schema, and clear factual statements over long-form keyword optimisation.

The process of specifying the preferred (canonical) version of a URL when duplicate or near-duplicate content exists across multiple addresses. Implemented via the rel="canonical" HTML tag or HTTP header, canonicalisation prevents crawl budget waste and consolidates ranking signals to the intended URL.

A rendering model where the browser receives a minimal HTML shell and JavaScript bundle, then constructs the page DOM in the client. CSR can create indexing challenges if search bots cannot or choose not to execute JavaScript, resulting in content being invisible to crawlers.

A content architecture model comprising a broad pillar page supported by multiple detailed cluster pages — each covering a sub-topic and linking back to the pillar. Content clusters signal topical depth to search engines, distribute internal PageRank efficiently, and improve the discoverability of related content by AI crawlers.

The strategic removal or consolidation of low-quality, thin, duplicate, or outdated content from a site. Content pruning improves the overall quality signal sent to search engines, frees crawl budget for valuable pages, and focuses topical authority rather than diluting it across redundant URLs.

A set of user experience metrics defined by Google that measure real-world page performance: Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS). CWV are confirmed Google ranking signals and reflect the actual speed, responsiveness, and visual stability experienced by users.

The number of pages a search engine bot will crawl on a given site within a set timeframe. Crawl budget is influenced by site authority, server response speed, and crawl demand. Wasting crawl budget on low-value URLs — duplicate pages, infinite scroll parameters, thin content — means important pages may not be crawled or indexed promptly.

A Core Web Vital measuring visual instability — the unexpected movement of page elements during loading. A score above 0.1 indicates poor stability. Common causes include images without explicit dimensions, dynamically injected banners, and web fonts causing FOUT (Flash of Unstyled Text).

A third-party metric (developed by Moz) that predicts a domain's likelihood of ranking in search engine results, scored 1–100. Domain Authority is not a Google metric and should not be used as a primary KPI — it is a proxy indicator. Similar scores exist from other tools: Domain Rating (Ahrefs) and Authority Score (Semrush).

Experience, Expertise, Authoritativeness, and Trustworthiness — the four quality dimensions Google's Search Quality Rater Guidelines use to evaluate content and its creators. E-E-A-T is not a direct ranking signal but reflects the underlying signals (author credentials, citations, brand reputation, review signals) that algorithms measure. High E-E-A-T content is also more likely to be cited by LLMs.

An approach to SEO centred on defining and disambiguating real-world entities — people, organisations, products, places — so that search engines and AI systems can map them within a knowledge graph. Strong entity signals include consistent NAP data, structured data markup, Wikipedia/Wikidata presence, and cross-platform brand consistency.

A highlighted answer box displayed at the top of Google's organic results (Position Zero), extracting a short passage, list, or table from a page to directly answer a search query. Winning a featured snippet requires concise, direct answers formatted to match query intent — the same principles that increase AEO visibility.

The discipline of optimising content, structure, and authority signals so that large language models (LLMs) such as ChatGPT, Gemini, and Perplexity surface, cite, and recommend a brand in their generated responses. GEO goes beyond traditional keyword targeting — it focuses on entity definition, semantic clarity, and structured data that AI systems can reliably parse and attribute.

A Core Web Vital measuring a page's overall responsiveness to user interactions throughout its lifecycle. INP replaced First Input Delay (FID) in March 2024. It captures the full duration from when a user interacts (click, tap, key press) to when the browser paints the next frame in response.

The practice of linking between pages within the same domain to distribute PageRank, guide crawler pathways, and signal topical relationships to search engines. Strategic internal linking — organised into semantic clusters — accelerates the indexing of new pages and reinforces topical authority.

The practice of auditing and optimising websites built with JavaScript frameworks (React, Angular, Vue, Next.js) to ensure their content is reliably rendered and indexed by search engines. Key concerns include render budget, hydration delays, dynamic routing, and the gap between what users see and what bots parse.

A structured database of entities and the relationships between them, used by Google (and LLMs) to understand the world. Appearing in Google's Knowledge Graph — via structured data, Wikipedia presence, and consistent entity signals — is a strong indicator of LLM citation trustworthiness.

A Core Web Vital measuring how long it takes for the largest visible content element (typically a hero image or heading) to render on screen. Google's target is under 2.5 seconds. Poor LCP is commonly caused by slow server response (TTFB), render-blocking resources, or unoptimised images.

The degree to which a brand, person, or entity is recognised, cited, and recommended by large language models. LLM visibility is influenced by the volume and quality of authoritative online references, structured data footprints, entity definitions, and the consistency of brand signals across the web.

A proposed plain-text file placed at the root of a domain (e.g. /llms.txt) that gives large language models structured guidance about a site's content, key pages, and preferred citation format. Analogous to robots.txt for traditional bots, it is part of the emerging AI crawl management layer.

The process of examining raw server access logs to understand exactly which URLs search engine bots and AI crawlers are requesting, how frequently, and what HTTP status codes they receive. Log file analysis reveals the true crawl behaviour of Googlebot and AI bots — data that automated SEO tools cannot surface.

The percentage of users who click on a search result after seeing it in the SERP. Organic CTR is influenced by title tag quality, meta description copy, rich result presence, and SERP position. Improving CTR on existing rankings can drive significant traffic gains without changing rankings.

Google's original algorithm for measuring the importance of a web page based on the quantity and quality of links pointing to it. While Google no longer publicly reports PageRank scores, the underlying concept — that links represent votes of authority — remains a core ranking signal, flowing through both external backlinks and internal links.

A sequence of multiple redirects between an original URL and its final destination (e.g. A → B → C → D). Each hop in a redirect chain consumes crawl budget, introduces latency, and dilutes link equity. Best practice is to resolve all chains to single, direct 301 redirects.

An AI architecture in which a language model retrieves relevant documents from an external knowledge base before generating a response. Understanding RAG is critical for GEO practitioners because content that is well-structured, authoritative, and easily retrievable is more likely to be pulled into the generation pipeline and cited.

A plain-text file at the root of a domain that instructs web crawlers which URLs they are permitted or forbidden to access. In the AI search era, robots.txt must be configured not only for Googlebot but also for AI discovery bots such as GPTBot, Google-Extended, and PerplexityBot.

Structured data — most commonly implemented as JSON-LD embedded in a page's HTML — that uses vocabulary from Schema.org to explicitly describe page content to search engines and AI systems. Common types include Article, FAQPage, Person, Organisation, Product, and BreadcrumbList. Schema is a foundational layer for both rich results in Google and citation accuracy in AI-generated answers.

An approach to SEO that prioritises the meaning and context of content — entities, relationships, and intent — over literal keyword matching. Semantic SEO aligns with how modern search engines (and LLMs) process language: understanding what a page is *about* rather than counting keyword occurrences.

A rendering method where the server generates a fully-formed HTML page for each request before sending it to the browser. SSR is the most crawler-friendly rendering approach because search bots receive complete, parseable HTML immediately — no JavaScript execution required.

Machine-readable markup applied to a web page to help search engines and AI systems understand the meaning and relationships within the content. Structured data is the bridge between human-readable content and machine knowledge — it is how entities, attributes, and relationships are communicated programmatically.

The discipline of optimising a website's infrastructure — crawlability, indexability, rendering, site speed, and structured data — so that search engines can efficiently discover, understand, and rank its content. Technical SEO operates at the code and server level, distinct from content creation or link building.

The time elapsed between a browser sending an HTTP request and receiving the first byte of the server's response. TTFB is a foundational performance metric — it directly affects LCP and reflects server processing time, database query speed, and CDN efficiency. A good TTFB is under 800ms.

The degree to which a website is recognised by search engines as a comprehensive and trustworthy source on a given subject. Topical authority is built by systematically covering all facets of a topic through interlinked content clusters — rather than producing isolated, keyword-targeted pages.

A structured XML file that lists the URLs of a site along with metadata such as last-modified date and priority. Sitemaps serve as a direct signal to search engines about which pages exist and should be crawled. Advanced sitemap orchestration involves splitting by content type, setting accurate priority nesting, and submitting via Google Search Console.