Every AEO and GEO term, defined

The visible clickable text of a link. It provides semantic context engines use for retrieval + ranking.

The writing pattern where you state the answer in the first 100 words. It's strongly correlated with AI citation.

How engines split long pages into retrievable pieces. H2 boundaries are the dominant split signal.

Publishing comprehensive coverage of a topic so an engine cites YOU instead of the original primary source.

Sending an empty HTML shell + JS bundle that renders content in the browser. It's invisible to most AI crawlers.

Querying the REAL answer engines (vs simulating retrieval logic) using BYOK API keys.

Serving pre-rendered HTML to bots while serving SPA to humans: a transitional fix, not a long-term strategy.

Content with long-term relevance. It outperforms time-sensitive content in cumulative AI citations.

The technique of embedding structural fields (headings, lists, schema) separately from body text (+17.3% citation lift per the arXiv paper).

Ensemble retrieval that combines dense embeddings + sparse BM25 + authority signals. It's what every modern engine actually uses.

The network of links between your own pages. Engines use it to discover content + transfer authority within your site.

Static pages that re-render on a schedule. Best-of-both: fast like SSG, fresh like SSR.

A single URL that covers what/who/how/pricing for a topic. It's the format top-cited URLs share.

Optimizing for non-English search/AI queries, a massive underserved TAM where most AEO tools don't work.

Ranking individual page sections (passages) rather than whole pages, which lets long pages rank for specific sub-questions.

When an answer engine decomposes one user prompt into 3-5 sub-queries, then aggregates citations across all.

A second-stage scoring model that reorders the top 50 retrieval candidates before sending the top 5 to the synthesis model.

Using HTML elements for their intended meaning (<article>, <nav>, <aside>), which gives AI engines structural context.

Pre-rendering pages at build time to static HTML: fastest possible TTFB, perfect AI-crawlability.

Server returns fully-rendered HTML per request, visible to all AI crawlers without JS execution.

When an AI engine decides to invoke a web-search / web-fetch tool mid-conversation to ground its answer.

The single preferred URL for a page, declared via <link rel=canonical>. It prevents AI engines from splitting citations across duplicates.

How a URL renders when pasted in Discord. It's derived from OG + Twitter card tags and viewed by 200M+ monthly users.

The schema.org type that signals your page contains questions + answers. It's the most-cited schema by AI Overviews.

Link tag declaring language/region variants of a page. It tells engines which version to serve for which locale.

The JSON-based serialization for embedding schema.org structured data in your HTML.

Link attribute telling crawlers not to pass authority through this link. It's used for sponsored/user-generated links.

Meta tag or HTTP header telling crawlers not to add this page to their index.

The meta tag standard for declaring how URLs render when shared: og:title, og:description, og:image.

Google's name for the enhanced SERP cards (FAQ accordions, recipe stars, product prices) that schema.org markup unlocks.

The shared vocabulary maintained by Google, Microsoft, Yahoo, and Yandex for structured data on the web.

Meta tags that constrain how engines may snippet your content: max-snippet, max-image-preview, max-video-preview.

The visual preview generated when a URL is shared on social platforms. It's driven by og:image + og:title.

Schema.org markup (typically JSON-LD) that gives engines machine-readable context about page content.

SERP enhancements (sitelinks, prices, ratings) generated from structured data. They increase visual surface area on SERPs.

Twitter/X's meta tag standard for share-card rendering. It's distinct from Open Graph and takes precedence on X.

HTTP header equivalent of <meta name=robots>. It controls crawler behavior on non-HTML files (PDFs, images).

Composite metric combining cite rate, position, and query coverage. It's the AEO industry-standard KPI.

Percentage of queries where an AI engine generates an answer instead of returning a SERP. AI Overviews now hit ~50%+ for common informational queries.

The percentage of AI-generated answers in your category that cite YOU vs. competitors.

Percentage of generated answers (per query) that include a citation to your site. It's the AEO equivalent of SERP CTR.

Sum of unexpected layout shifts during page lifetime. Under 0.1 is good.

Your rank among the set of pages an AI engine considered for citation (usually the top 50 retrieved, not the full web).

The gradual loss of traffic + citations as content ages without updates.

The rate at which a site publishes new content. Moderate consistency beats sporadic high-volume bursts.

Google's three loading/interactivity/visual-stability metrics: LCP, INP, CLS. They're table-stakes for AI Overview eligibility.

Number of clicks from the homepage to a given page. Pages deeper than 3 clicks see degraded crawl frequency.

The time period after which content is treated as stale. It varies by topic: 30 days for news, 12 months for evergreen guides.

How tightly a generated answer's claims map to retrieved source content. High groundedness = low hallucination risk.

Whether your page has 4+ H2 sections covering the buyer query's subtopics (the dominant chunking signal).

How responsive a page feels after the user clicks/taps. It replaces FID as the Core Web Vitals interactivity metric.

Time until the largest above-the-fold element renders. Under 2.5s is good, over 4s fails Core Web Vitals.

A page with zero internal links pointing to it, discoverable only via sitemap and often ignored by AI crawlers.

Citation share broken down by AI engine. ChatGPT, Claude, Perplexity, Gemini, AI Overviews don't behave identically.

How close two pieces of text are in embedding space: the cosine distance between their vectors.

Percentage of cited URLs in your category that are yours, vs competitors.

Three-level page architecture (macro/meso/micro) validated to lift citation rate +17.3%.

How comprehensively a site covers a topic cluster. It's a stronger ranking signal than backlinks for AI citation.

Time from request start to the first byte of response. It's the floor for every other Core Web Vital.