01Glossary

The AI MarketingTerms That Matter.

Plain, quotable definitions of the search, AI and growth terms we use across this site — from GEO and AEO to citation share and speed-to-lead. Written to be understood, and cited.

Glossary terms

GEO
AI Search

Generative Engine Optimization

Generative Engine Optimization is the practice of increasing the likelihood that generative AI systems — like ChatGPT, Perplexity and Gemini — understand, cite and recommend your brand.

Where SEO targets ranked links, GEO targets the answer itself: making your brand a clear, consistent, well-supported entity so that when an AI system composes a response, it reaches for you. It leans on entity clarity, authoritative content and factual consistency rather than keyword density. The Princeton-led study that coined the term (Aggarwal et al., KDD 2024) measured that GEO techniques — quotable statements, statistics, cited sources — can lift a site's visibility in generative answers by up to 40%.

See alsoaeoseoai searchcitation share

AEO
AI Search

Answer Engine Optimization

Answer Engine Optimization is the practice of structuring content so it is eligible to be quoted as a direct answer by answer engines and AI overviews.

AEO focuses on concise definitions, well-formed FAQs, structured data and clear E-E-A-T signals — the formats an answer engine can lift verbatim. It is the bridge between traditional SEO and full generative visibility.

See alsogeoseoai overviewsschema markup

SEO
Search

Search Engine Optimization

Search Engine Optimization is the practice of making a website discoverable and highly ranked in traditional search engines like Google.

SEO covers technical foundations (crawlability, site speed, structure), on-page relevance and off-page authority. In the AI era it is necessary but no longer sufficient — it feeds the same content foundation that AEO and GEO build on.

See alsoaeogeotechnical seoentity

AI Overviews
AI Search

Google AI Overviews

AI Overviews are Google's AI-generated answer summaries shown above traditional results, synthesized from multiple sources and citing a few of them.

They compress the classic results page into a direct answer, which can reduce clicks to individual sites while rewarding brands that are cited inside the summary. Eligibility depends heavily on AEO-style structure and trusted, consistent content.

See alsoai searchaeoanswer engine

Answer Engine
AI Search

An answer engine is a system that returns a direct, synthesized answer to a query rather than a ranked list of links.

Perplexity, ChatGPT with search, and Google AI Overviews are all answer engines. They change the goal of optimization from 'rank a page' to 'be the answer, or be cited in it'.

See alsoai searchaeogenerative engine

Generative Engine
AI Search

A generative engine is an AI system that composes original responses from many sources — the target of GEO.

Unlike a search index that retrieves existing pages, a generative engine writes a new answer each time, drawing on its training and any live sources it retrieves. Visibility means being understood and trusted enough to be woven into that answer.

See alsogeoanswer engineai search

Prompt Panel
Measurement

A prompt panel is a fixed set of representative buyer questions run repeatedly across AI systems to measure how — and whether — a brand appears in the answers.

Because AI answers vary by prompt, session and time, a single check is noise. Running the same structured panel on a schedule turns anecdote into a trend line you can act on.

See alsocitation shareshare of voiceai search

Citation Share
Measurement

Citation share is the proportion of relevant AI answers in which your brand is named, quoted or linked as a source.

It is the AI-era equivalent of ranking: not where you sit in a list, but how often the model reaches for you when answering questions in your category. Tracked over time and against competitors, it shows whether your GEO work is compounding.

See alsoprompt panelshare of voicegeo

Share of Voice
Measurement

SOV

Share of voice is your brand's slice of total visibility in a channel relative to competitors.

In AI search it maps closely to citation share; in social and paid it maps to impressions or spend. It reframes visibility as a competitive, zero-sum measure rather than an absolute one.

See alsocitation shareprompt panel

Entity
Search

Entity SEO

An entity is a distinct, machine-understood thing — a brand, person, product or place — that search and AI systems track by identity, not just by keyword.

Clear, consistent entity signals (name, description, relationships, sameAs links) help both search engines and AI models know exactly who you are. Entity clarity is foundational to GEO: an engine cannot recommend a brand it cannot confidently identify.

See alsoschema markupgeoeeat

Schema Markup
Search

Structured Data

Schema markup is structured data added to a page that tells search and AI systems exactly what the content means.

Using vocabularies like Schema.org (Organization, Product, FAQPage, Article), it turns ambiguous text into explicit, machine-readable facts — improving eligibility for rich results, AI Overviews and citations.

See alsoentityaeotechnical seo

Technical SEO
Search

Technical SEO is the work of making a site crawlable, fast, structured and error-free so engines can index and understand it.

It covers site architecture, Core Web Vitals, crawl budget, canonicalization, metadata and internal linking. It is the foundation everything else stands on — no amount of content wins if engines cannot reach or parse it.

See alsoseoschema markupentity

E-E-A-T
Search

Experience, Expertise, Authoritativeness, Trust

E-E-A-T is Google's framework for content quality — Experience, Expertise, Authoritativeness and Trustworthiness — and a strong proxy for what AI systems choose to cite.

Content that demonstrates first-hand experience, real expertise, recognized authority and verifiable trust is more likely to rank and to be quoted by answer engines. It is signalled through authorship, sources, reviews and consistent brand facts.

See alsoaeogeoentity

llms.txt
AI Search

llms.txt is a proposed plain-text file at a site's root that gives AI systems a curated, machine-readable guide to the site's most important content.

Analogous to robots.txt for crawlers, it aims to help large language models find and correctly represent a brand's key pages and facts. Adoption is early, but it signals where AI-era discoverability is heading.

See alsogeoai searchtechnical seo

Speed-to-Lead
Conversion

Speed-to-lead is the elapsed time between a prospect enquiring and receiving a real response — and it is one of the strongest predictors of conversion.

Responding within seconds rather than hours dramatically raises the odds of qualifying and booking a lead, because you reach them while intent is hot and before competitors reply. The Harvard Business Review lead-response study found firms contacting a lead within an hour were about seven times more likely to qualify it than those an hour slower; the underlying Lead Response Management data puts the odds of reaching a lead at roughly 21 times higher at five minutes than at thirty. It is often the cheapest conversion lever a business is ignoring.

See alsolead routingconversion rate

Lead Routing
Conversion

Lead routing is the automated process of scoring, tagging and assigning each incoming enquiry to the right owner with full context.

Good routing means the right salesperson, outlet or specialist gets the lead instantly, along with the conversation history — so nothing sits unassigned and no enquiry lives in a personal phone.

See alsospeed to leadconversion rate

Conversion Rate
Conversion

Conversion rate is the percentage of prospects who take the desired action — an enquiry, booking or purchase — out of the total who had the chance.

It is where visibility and attention finally pay off. A rise in traffic with a flat conversion rate usually points to a funnel or follow-up problem, not a traffic one.

See alsospeed to leadlead routingattribution

Attribution
Measurement

Attribution is the method of assigning credit for a conversion to the marketing touchpoints that influenced it.

Because buyers now cross search, social, ads and AI before converting, single-channel reports overclaim and underclaim. Cross-channel attribution reconciles them so budget can follow what actually drives revenue.

See alsoconversion rateshare of voice

KOC
Social

Key Opinion Consumer

A KOC is an ordinary, credible consumer whose authentic reviews and posts build trust — especially on Xiaohongshu — at a fraction of a KOL's reach and cost.

Where KOLs (Key Opinion Leaders) offer scale, KOCs offer believability and search coverage. Seeding many KOC notes makes a brand appear organically when consumers search a category.

See alsokolxhs searchsocial seo

KOL
Social

Key Opinion Leader

A KOL is an influential creator with significant reach used to build awareness and credibility for a brand.

KOLs drive reach and validation; the trade-off is cost and the risk of vanity metrics. The strongest programmes pair a few KOLs for reach with many KOCs for trust and search presence.

See alsokocxhs search

Social SEO
Social

Social SEO is optimizing social content — captions, keywords, hashtags and metadata — so it surfaces in platform search, not just the algorithmic feed.

As users increasingly search inside TikTok, Instagram and Xiaohongshu, social content needs to be discoverable on demand. Social SEO treats each platform as a search engine with its own ranking signals.

See alsoxhs searchseokoc

RAG
AI Search

Retrieval-Augmented Generation

Retrieval-Augmented Generation is the technique AI answer engines use to fetch real, current sources at query time and build an answer grounded in them — rather than relying only on training data.

RAG is why GEO and AEO work: because engines like Perplexity and Google AI Overviews retrieve live sources to compose answers, the brands that are clearly retrievable and trustworthy get cited. Being a clean, authoritative source is how you get pulled into the retrieval step.

See alsogeoaeocitation shareanswer engine

Knowledge Graph
AI Search

A knowledge graph is a structured map of entities — people, companies, places — and the relationships between them, that search and AI systems use to understand who and what a brand is.

When your business is a well-defined entity in these graphs, AI systems can resolve 'who is this' with confidence and are far more likely to name and recommend you. Consistent brand facts, schema and third-party corroboration all feed the graph.

See alsoentityschema markupgeo

Hallucination
AI Search

A hallucination is when an AI system states something false or invented with confidence — including wrong facts about a business.

For brands, hallucinations are a real risk: an AI may misstate your services, prices or location. The defence is strong, consistent, machine-readable brand facts across the web, so the correct information is what engines retrieve and repeat.

See alsoragentitygeo

Answer Box
Search

An answer box is any results-page element that presents a direct answer — featured snippets, definitions, and AI-generated overviews — instead of a plain list of links.

As answer boxes take more of the page, ranking #1 in the blue links matters less than being the source the box is built from. That shift is the whole reason AEO exists.

See alsofeatured snippetai overviewsaeo

Topical Authority
Search

Topical authority is the depth and breadth of trustworthy content a site has on a subject — the signal that you are a genuine expert in a domain, not a dabbler.

Search and AI systems favour sources with real topical authority. It's built by covering a topic comprehensively and credibly — clusters of connected, genuinely useful content — rather than a scattering of thin pages.

See alsoseoeeatgeo

Local SEO
Search

Google Business Profile optimization

Local SEO is optimising to appear in location-based searches and map results — 'near me' queries, the local pack, and Google Business Profile.

For any business with a physical location or service area, local SEO is where a large share of high-intent demand is won. It combines an optimised Business Profile, consistent local citations, reviews and location-relevant content.

See alsoseoentitycitation share

Core Web Vitals
Search

Core Web Vitals are Google's metrics for real-world page experience — loading (LCP), interactivity (INP) and visual stability (CLS).

They're a ranking factor and, more importantly, a conversion factor: slow, unstable pages lose both rankings and buyers. Strong vitals are table stakes before any content or campaign work pays off.

See alsotechnical seoseoconversion rate

CTR
Measurement

Click-Through Rate

Click-through rate is the percentage of people who click a link, ad or result out of those who saw it — a core measure of how compelling your listing or creative is.

CTR reveals whether your titles, snippets and ads earn attention. In search it interacts with rankings; in ads it drives cost efficiency. But CTR is an in-process metric — it only matters if the clicks convert.

See alsoconversion rateattributionroas

ROAS
Measurement

Return on Ad Spend

Return on ad spend is the revenue generated for every dollar spent on advertising — the headline efficiency metric for paid campaigns.

ROAS tells you whether paid acquisition pays. But it can mislead if it ignores margin or lifetime value, so we read it alongside CAC and LTV rather than in isolation.

See alsocacltvattribution

CAC
Measurement

Customer Acquisition Cost

Customer acquisition cost is the total spend required to win one new customer — across ads, content, tools and effort.

CAC only makes sense next to what a customer is worth (LTV). A high CAC is fine if lifetime value is far higher; a low CAC is useless if those customers never return. The healthy ratio, not the raw number, is the signal.

See alsoltvroasconversion rate

LTV
Measurement

Customer Lifetime Value

Lifetime value is the total revenue (or profit) a customer generates over their entire relationship with your business.

LTV reframes every marketing decision. A clinic where a patient is worth thousands over years can invest far more to acquire one than a business with one-off, low-value purchases. Knowing LTV is what turns a budget question into a math question.

See alsocacroasconversion rate

Retargeting
Conversion

Remarketing

Retargeting shows ads to people who already interacted with your brand — site visitors, video viewers, cart abandoners — to bring them back to convert.

Because these audiences already know you, retargeting typically converts far better than cold prospecting. Done well it recovers demand you already paid to create; done lazily it just annoys people with the same ad everywhere.

See alsoroasconversion rateattribution

UGC
Social

User-Generated Content

User-generated content is content made by real customers or creators rather than the brand — reviews, posts, videos, photos — that others trust because it isn't self-promotion.

On platforms like Xiaohongshu, authentic UGC and KOC content outperforms polished brand ads because buyers trust peers over marketing. It also feeds AI trust signals: corroboration from real people makes a brand more credible to recommend.

See alsokocsocial seoxhs search

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