AEO Glossary: 80 Terms You’ll See in 2025

Your definitive AI SEO glossary for 2025 — 80 essential AEO/GEO terms with clear definitions, anchor links, and sources. Targets “ai seo glossary” and “aeo terminology.”

Agenxus Team20 min
#AI SEO#Answer Engine Optimization#Generative Engine Optimization#Structured Data#Technical SEO#RAG#E-E-A-T
AEO Glossary: 80 Terms You’ll See in 2025

AEO Glossary: 80 Terms You’ll See in 2025 — a practical reference for teams working on AI SEO, AEO, and GEO. Use the anchor index to jump to terms, and check the source links for deeper reading. For a nuts-and-bolts walkthrough of Google’s pipeline, see How AI Overviews Work (Without the Hype).

Authoritative references used throughout: Google’s AI Overviews and AI features explainers (Google) (how it works) (AI features & your website); Structured data docs (Article) (FAQPage) (HowTo); RAG paper (Lewis et al., 2020); BM25 intro (Okapi BM25); INP metric (web.dev); robots.txt (Search Central); E-E-A-T (QRG update).

A

AEO (Answer Engine Optimization)
Practice of preparing content to be cited inside AI-generated answers across Google AI Overviews, Perplexity, and Copilot; emphasizes answer-first passages, structure, and trust.
AI Mode (Google)
Conversational search experience that expands on Overviews with deeper reasoning and chat-like follow-ups. See Google’s updates on AI experiences in Search (Google, 2025).
AI Overviews
AI-generated snapshots with links to “learn more,” triggered when synthesis helps; powered by a custom Gemini model for Search (Google).
Anchor Text
The clickable text of a link; descriptive anchors help retrieval systems understand relationships between pages and entities.
Answer Engine
System that synthesizes answers (with citations) instead of listing links; examples include AI Overviews, Perplexity, Bing Copilot.
Answer Passage
A short, self-contained paragraph that directly answers a question; the unit engines often extract and cite.
Answer Surface
The UI area where an AI-generated summary appears (e.g., AI Overviews block) with inline citations.
Article schema
JSON-LD describing articles (headline, author, datePublished, etc.), improving machine parseability (Docs).
Authorship Markup
Use Person/Organization structured data and on-page bios to establish credentials and trust (Org schema).
Topical Authority
The depth and coherence of coverage across a topic cluster (pillar + supporting pages); correlated with citation likelihood.

B

BM25
Classic lexical ranking function used in retrieval; balances term frequency and document length (Okapi BM25).
An external link to your page; still a trust signal, but AEO emphasizes corroborated, answer-ready content over sheer link volume.
Bing Copilot
Microsoft’s answer engine that blends summaries with structured cards; shows citations alongside results.
Markup that clarifies page position in your site’s hierarchy for users and crawlers.

C

Canonical URL
Signals the preferred version of a page when duplicates/params exist; helps consolidate signals and avoid dilution.
Inline Citation
Linked reference inside an AI summary; the core mechanic answer engines use to let users verify claims.
Chunking
Splitting long text into smaller passages for retrieval; improves recall and extractability.
Core Web Vitals
Field UX metrics (LCP, CLS, INP) used by Google; better responsiveness and stability support engagement (INP).
Crawl Budget
The number of URLs Googlebot can and wants to crawl; wasteful params and duplicates consume budget.
Crawling & Indexing
Discovery and storage phases of search; prerequisite for any AEO visibility.
Click-through Rate (CTR)
Share of impressions that become clicks; with Overviews, expect fewer low-intent clicks and higher qualified ones.
Content Freshness
Recency of facts and timestamps; essential for topics where AI features favor current information.

D

Data Provenance
Traceability of sources and updates; improves trust for both users and answer engines.
Deep Page
Specific, non-homepage URL with expert content; frequently cited in AI summaries versus generic homepages.
Deduplication
Systems collapse near-duplicate content to avoid redundant results; helps reduce noise in retrieval.
robots.txt Disallow
Rule to restrict crawler access to paths; note robots.txt is not a privacy mechanism (Search Central).
Domain Authority (3rd-party)
Unofficial, vendor-created metric; useful directionally, not a Google ranking factor.

E

E-E-A-T
Experience, Expertise, Authoritativeness, Trustworthiness; principles from Google’s rater guidelines (QRG).
Embedding
Vector representation of text/images enabling semantic retrieval and re-ranking.
Entity
A distinct thing/concept (person, org, product). Entity clarity strengthens topical signals and disambiguation.
Entity Home
The canonical page that best describes an entity (often your about/author page) used for disambiguation.
Entity Linking
Connecting mentions to the correct entity (schema, consistent naming, sameAs) to reduce ambiguity (schema.org).
Extractive vs Abstractive Summarization
Extractive quotes text verbatim; abstractive composes new sentences. Overviews generally synthesize (abstractive) but ground in sources.

F

FAQPage schema
Explicit Q&A structure for common questions; boosts machine readability (Docs).
Faceted Navigation
Filters that explode URL combinations; control crawl with canonicals/noindex and maintain clean indexation.
Single-source extract shown atop results; distinct from Overviews, which synthesize multi-source summaries.
First-party Data
Your owned data (analytics, CRM). Useful for personalization and measuring AEO impact, not a direct ranking factor.
Fine-tuning (LLMs)
Adapting a base model on task-specific data; in search, often complemented by retrieval grounding (RAG).
Field vs Lab (UX)
Field data (real users) vs lab data (synthetic tests). CWV are field-based; optimize for actual user conditions.

G

GEO (Generative Engine Optimization)
Another name for AEO; emphasizes the generative pipeline that selects and cites passages.
Gemini (model)
Google’s family of models; AI Overviews use a custom Gemini for Search (Google).
Googlebot
Google’s crawler; respects robots.txt and fetches content to index.
Knowledge Graph
Google’s entity graph connecting people, places, things; supports disambiguation and richer results.
Grounding
Tying generated text to retrieved sources to reduce hallucinations; core idea in RAG (RAG).
Google Search Console (GSC)
Google’s measurement/diagnostics tool; track impressions/clicks and crawling/indexation. Some AI features have unique tracking caveats.

H

Hallucination
Confident but incorrect model output; mitigated (not eliminated) by grounding and evaluation loops.
Helpful Content
People-first pages that demonstrate expertise and satisfy intent; follow Google’s guidance on creating helpful content.
HowTo schema
Structured steps, tools, and materials for procedures; improves extractability (Docs).
Headings (H1–H3)
Semantic structure for scannability and passage discovery; map questions to H2/H3 where possible.
Human-in-the-Loop (HITL)
Human review for accuracy, safety, and nuance—especially critical in YMYL domains.

I

Connects pillar pages to supporting content; clarifies topic clusters and improves passage discovery.
INP (Interaction to Next Paint)
Core Web Vital for responsiveness; lower INP reflects faster interactivity (web.dev).
Intent (Search Intent)
User purpose behind a query (informational, transactional, etc.); guides format and angle of answers.
Information Gain
New, non-obvious utility your page adds beyond existing results; a practical lens for differentiation.
Index Coverage (GSC)
Reports showing which URLs are indexed, excluded, or erroring; fix blockers before chasing AEO wins.
ImageObject schema
Structured data describing images (url, caption, author), aiding media understanding and licensing signals.
URL Parameters
Args appended to URLs that can cause duplicate content; consolidate with canonicals or parameter handling.

J

JSON-LD
Preferred format for structured data markup embedded in pages (Intro).
In-page link to a section; helps UX and can align with “answers above the fold.”
JavaScript SEO
Ensuring JS-rendered content is crawlable and indexable (SSR/ISR or hydration best practices).

K

Keyword Clustering
Grouping semantically related queries to design pillar/cluster coverage and avoid cannibalization.
Knowledge Graph (KG)
See also “Graph” above; entity relationships informing search understanding.
KNN Search
k-nearest neighbors retrieval over vectors; typical primitive for semantic search in vector DBs.

O

Ontology
Formal model of concepts and relationships in a domain; improves consistency of entity-centric content.

P

PAA (People Also Ask)
Expandable Q&A units in Google Search; useful for mining real questions to structure answer-first content.
Passage Ranking
Retrieval focus on specific paragraphs within a page; favors clearly scoped, answerable passages.
Perplexity (Answer Engine)
Real-time, citation-forward engine that summarizes with numbered sources; an additional discovery surface.
Product schema
Structured data for offers, reviews, and product details; important for ecommerce discovery (Docs).
Page Experience
Holistic UX signals (speed, stability, mobile-friendliness, HTTPS) that influence engagement and trust.

Q

Query Expansion
System strategy to broaden/clarify a query with related terms/entities to improve recall.
Quality Raters Guidelines (QRG)
Instructions guiding human raters in evaluating search systems; the source of E-E-A-T principles (Docs).

R

RAG (Retrieval-Augmented Generation)
Pipeline that retrieves sources, then generates text grounded in them; reduces hallucinations (Lewis et al.).

S

Scaled Content Abuse
Spam policy violation where many low-value pages are generated; Google permits AI content if it meets quality standards (Policy).
Structured Data Markup
Machine-readable JSON-LD describing your content; helps understanding and rich presentation (Intro).

T

Tokens
Sub-word units processed by LLMs; impact context window and the size of passages for retrieval.

U

URL Parameters
See “Index Params” above—manage to avoid duplicate content and crawl waste.

V

Vector Database
Store/retrieve embeddings for semantic search; backbone of modern RAG retrieval.
Similarity search over embeddings (ANN/KNN); complements keyword retrieval (e.g., BM25).

X

X-Robots-Tag
HTTP header alternative to meta robots; control indexing for non-HTML assets and edge cases.

Y

YMYL (Your Money or Your Life)
High-stakes topics (finance, health, safety) where E-E-A-T and expert review are critical.

Z

Zero-click Search
Answers delivered on the SERP without a traditional click; Overviews intensify this for certain queries while still linking out.

Want hands-on help to become a cited source in AI Overviews, Perplexity, and Copilot? Agenxus’s AI Search Optimization service implements the AEO/GEO playbook: audits, answer-first rewrites, validated schema, internal linking, and a publishing workflow.

Explore more at agenxus.com/services or contact us.

Authoritative Sources & Further Reading

Frequently Asked Questions

What is AEO (Answer Engine Optimization)?
AEO (also called GEO) prepares your content to be cited inside AI-generated answers (Google AI Overviews, Perplexity, Bing Copilot). It emphasizes passage-level answerability, structured data, topical authority, and trust.
How is AEO different from traditional SEO?
Traditional SEO optimizes pages to rank; AEO optimizes answers so that engines select and cite your short, verifiable passages during retrieval and synthesis.
Which schema types matter most for AEO?
Article, FAQPage, HowTo, Product, Organization, and Person. Use JSON-LD, keep properties accurate (author, datePublished, headline, step lists, etc.) and validate regularly.
How do I get cited in Google AI Overviews?
Lead with a self-contained answer, support with concise steps/tables, add accurate schema, demonstrate E-E-A-T (author bios, credentials, editorial review), and keep data fresh.
Can I force inclusion in AI Overviews with markup?
No. There’s no special tag that guarantees inclusion. Strong content, structure, and credibility signals raise your eligibility.
Do deep pages or homepages get cited more?
Deep, expert pages outperform generic homepages. Build definitive resources that answer specific tasks or questions.
How should I measure AEO impact?
Track impressions/clicks in GSC for queries that trigger AI features, save screenshots of citations, and monitor referral traffic from Perplexity/Copilot. Also watch brand mentions, links, and assisted conversions.
Does Google allow AI-written content?
Yes—if it meets Search Essentials and spam policies. AI-only, low-value, scaled content risks violations; require human fact-check and add value.
What is RAG and why does it matter?
Retrieval-Augmented Generation grounds model outputs in retrieved sources, reducing hallucinations. It’s the architectural pattern behind answer engines.
Where do ads appear with AI Overviews?
Google shows Search/Shopping ads in or around AI Overviews in some contexts, evolving placement across devices.
Who can help implement AEO end-to-end?
Our team can. See our AI Search Optimization service for audits, schema, internal linking, and answer-first publishing workflows.