Parts of Speech For SEOs

1. Noun — The Core of Entity-Based SEO

Definition

A noun names an entity — a person, place, thing, or concept.
In SEO, a noun often represents the main entity or topic node within your content.
Google’s NLP systems identify nouns first to detect the central entities of a document.

Linguistic Function

Nouns create semantic anchors. In sentence parsing, they’re used to build subject-object relationships — forming the backbone of a knowledge graph triple (e.g., Elf Bar — produces — disposable vapes).

SEO Function

1. Establishes Entity Recognition (NER): e.g., “IVG,” “Vape Kit,” “Nicotine Salt.”
2. Enables Entity Linking across pages or paragraphs.
3. Defines topic hierarchy — each noun can become a node in a topical map.
4. Determines indexing weight: the more factual, unique nouns used in natural context, the stronger your document-level topicality.

Example

“Vape kits provide an easy way to start vaping.”

• Noun: Vape kits = central entity
• Verb: provide = relation
• Object: way to start vaping = associated concept

Related Google Concepts

• Entity Salience (Google NLP API)
• Knowledge Graph Triples
• Named Entity Recognition (NER)

2. Verb — The Action & Intent Signal

Definition

A verb expresses an action, event, or state of being.
In search, verbs act as intent markers (Buy, Compare, Use, Charge, Choose).

Linguistic Function

Verbs connect the subject (entity) and object (attribute or outcome).
They also define the predicate of a semantic triple.

SEO Function

1. Signals Search Intent — “Buy” (Go), “Compare” (Know), “Find” (Do).
2. Affects SERP feature eligibility (Google interprets verbs to classify query types).
3. Verbs control conversion triggers in copywriting (call-to-action alignment).
4. In internal linking anchors, verbs influence link function classification (navigational vs contextual).

Example

“Buy the Hayati Pro Max online.”
Here, “Buy” defines transactional intent, helping Google match the content to commercial pages.

Related Google Concepts

• Query Classification (Do-Know-Go-Website)
• Intent Detection Models (BERT)
• Predicate Analysis in Sentence Parsing

3. Adjective — Attribute Expansion Layer

Definition

An adjective describes a noun.
It enriches entity understanding by defining attributes — shape, quality, type, performance, etc.

Linguistic Function

Adjectives are modifiers. They attach to nouns and increase descriptive specificity.

SEO Function

1. Expands Attribute Dimensions of the entity (Koray’s “Connecting Attributes of Central Entity”).
2. Strengthens Relevance Configuration — Google measures how attributes align with query vectors.
3. Improves semantic completeness — a page with descriptive modifiers gives search engines more dimensions to match query embeddings.

Example

“Rechargeable vape kits with compact designs are ideal for new users.”
Adjectives: “Rechargeable,” “compact,” “new” — connect technical, physical, and audience-based attributes.

Related Google Concepts

• Attribute-based Clustering
• Contextual Vectors
• Adjective-Noun Dependency Trees

4. Adverb — The Context & Experience Enhancer

Definition

An adverb modifies a verb, adjective, or another adverb. It expresses how, when, or to what extent something happens.

Linguistic Function

Adverbs refine temporal and experiential meaning — adding time, speed, or degree dimensions.

SEO Function

1. Builds E-E-A-T linguistic signals — e.g., “quickly charges,” “lasts longer,” “smoothly delivers.”
2. Enhances user experience representation — matching review-style queries.
3. Contributes to comparative language models (better, faster, longer) used in re-ranking.

Example

“This kit charges quickly and lasts longer than others.”
Adverbs: “quickly,” “longer” — add experiential data. Google uses these to understand qualitative evaluation.

Related Google Concepts

• Experience-based Content Scoring
• Comparative Adverb Analysis in Reviews
• Sentiment Detection Models

5. Pronoun — Contextual Reference Simplifier

Definition

A pronoun replaces a noun to avoid repetition (it, they, this, that).

Linguistic Function

Maintains sentence coherence by referencing previously mentioned entities.

SEO Function

1. Enhances natural readability (important for user satisfaction metrics).
2. Should not replace main entity mentions in first occurrence — since Google extracts entities based on explicit forms.
3. Supports coreference resolution (Google’s NLP technique to identify what a pronoun refers to).

Example

“The IVG 2400 delivers smooth flavour. It also supports mesh coils.”
Pronoun “It” refers to the IVG 2400 — but Google connects it only after establishing the initial entity in the first sentence.

Related Google Concepts

• Coreference Resolution in BERT
• Entity Mention Frequency & Salience

6. Preposition — Semantic Relationship Connector

Definition

A preposition shows relationships between entities (in, on, with, between, for, by).

Linguistic Function

Prepositions define spatial, functional, or causal relationships between nouns.

SEO Function

1. Helps Google form semantic dependency graphs.
2. Builds contextual relevance: “Pods with nicotine salts” ≠ “Pods without nicotine salts.”
3. Important in schema-like phrasing (e.g., “Vape made from stainless steel”).
4. Improves answer precision for factual queries.

Example

“Vape pods with mesh coils offer better flavour.”
Preposition “with” links “pods” and “mesh coils,” defining attribute possession.

Related Google Concepts

• Dependency Parsing
• Semantic Relationship Extraction

7. Conjunction — Logical and Contextual Linker

Definition

A conjunction connects words, phrases, or clauses (and, or, but, because).

Linguistic Function

Builds logical relations and co-occurrence within language models.

SEO Function

1. Encourages entity co-occurrence (e.g., “Elf Bar and IVG” strengthens brand connections).
2. Helps Google identify comparison or inclusion relations.
3. Useful for contextual coverage — a strong topical authority signal.

Example

“Compare Elf Bar and IVG disposable vapes.”
Conjunction “and” builds mutual topical context between both brand entities.

Related Google Concepts

• Entity Co-occurrence Scoring
• Contextual Expansion in Topical Maps

8. Interjection — User Engagement and Emotional Layer

Definition

An interjection expresses emotion or emphasis (Wow!, Great!, Oh!).

Linguistic Function

Adds human tone and sentiment variation.

SEO Function

1. Improves CTR and engagement metrics in titles or snippets.
2. Reflects emotional polarity, useful for Google’s Sentiment-Aware Ranking systems.
3. Adds authentic voice in user-generated or review-based content.

Example

“Wow! The Hayati Pro Ultra 25K is built like a premium mod.”
“Wow!” adds emotional intensity, influencing reader engagement and dwell time.

Related Google Concepts

• Sentiment Polarity Models
• Engagement-weighted Ranking (RankBrain Adjustments)

9. Article / Determiner — Specificity and Entity Boundary Marker

Definition

An article defines whether a noun is general (a/an) or specific (the).
Determiners (this, that, those, every) specify scope.

Linguistic Function

Articles define definiteness — crucial for distinguishing generic vs unique entities.

SEO Function

1. Helps identify entity uniqueness (“The IVG 2400” = specific model).
2. Signals canonical context — “the vape” vs “a vape.”
3. Assists NLP in setting entity boundaries (important in disambiguation).

Example

“The Hayati Pro Max kit is one of the best in the UK.”
“The” shows a specific reference, helping disambiguate from generic “a kit.”

Related Google Concepts

• Entity Disambiguation
• Definite vs Indefinite Entity Recognition

10. Full SEO Sentence Analysis

Sentence:
“Buy the latest rechargeable vape kit in the UK for smooth flavour and long battery life.”