Source Context
- Business purpose
- Audience
- Expertise
- Monetization
- Website role
Topical Authority
Semantic SEO: Build a Website Search Engines Can Understand
I build search structures around topics, entities, relationships and search intent, helping your website communicate what it knows, how its information connects, and where each page fits.
The Foundation
Semantic SEO Is About Meaning, Relationships and Context
Semantic SEO focuses on helping search systems understand the meaning and relationships behind the information on a website. It goes beyond targeting isolated keywords, because a page rarely answers a question in isolation.
One keyword, one page
- Keyword
- Page
The page is treated as a destination for a term. Nothing states what the subject is, what it relates to, or where it belongs on the site.
expands into
A meaning-first model
- Topic
- Entity
- Attribute
- Relationship
- Question
- Content
- Context
The same page now carries a subject, the things that subject involves, how they relate, and the questions it answers. Context is expressed rather than implied.
The Shift
Move Beyond Isolated Keywords
Keyword research, technical SEO and on-page optimisation all still do useful work. Semantic SEO does not replace them. It adds the contextual framework that decides what those techniques should be applied to, and in what order.
Traditional keyword-focused approach
- Keyword
- Page
- Optimization
- Publish
Four steps, repeated per term. Effective for a specific query, quiet about everything surrounding it.
versus
Semantic approach
- Source context
- Central entity
- Search intent
- Topical map
- Entities
- Questions
- Content
- Relationships
- Internal links
- Context
Both approaches use the same tactics. The difference is what decides the plan. A keyword list tells you what to write next. A semantic framework tells you why that page exists, what it must cover, and what it should connect to.
The Framework
A Semantic SEO Framework for the Entire Website
This is the model I work through, in order. Each stage produces something the next one depends on. It is the framework used on Rank With Danish, not a published description of how any search engine ranks pages.
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Defines what the website is about, who it serves, how it creates value and what role the site plays in the business. Everything downstream inherits this.
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The primary entity the website is organised around, and the anchor that every other topic connects back to.
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The dominant search need created by the relationship between the source context and the central entity.
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The planned structure of topics, subtopics, entities and questions the site intends to cover, decided before anything is written.
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Topics tied directly to the business and its services, separated from the supporting topics that build contextual depth around them.
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The things a subject involves and the properties that describe them, so explanations are complete rather than vague.
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The connected set of questions a topic generates, mapped as relationships instead of a list of isolated keywords.
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How pages fit together: what sits at each level, what each page is responsible for, and how the hierarchy is expressed.
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Relevant pages linked contextually in both directions, so the site states how its own information fits together.
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The layer that makes those relationships visible, using contextual placement and descriptive anchors rather than generic link blocks.
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Crawlability, indexation, canonicals, structured data and performance. Without these, the structure above cannot be read.
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A strategic way of thinking about how much effort is needed to locate and interpret information on the site.
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What the site has published, changed and earned over time, which shapes what should be improved, consolidated or left alone.
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The outcome: a website whose subject, structure and relationships can be interpreted clearly.
Where It Starts
Everything Starts With Context
Before a single topic is chosen, three things need to be settled. Get these wrong and every decision after them inherits the error.
Central Entity
The primary entity the website consistently describes and supports. One subject, held steady across every section, so the site reads as being about something specific rather than about several loosely related things.
Central Search Intent
The dominant search need created by the relationship between the source context and the central entity. It decides which questions the site should answer first and which belong further out.
Source context
+
Central entity
=
Central search intent
This is how I structure the discovery stage, not an official Google formula. Two businesses selling the same thing to different audiences will arrive at different central search intents, which is precisely the point.
Coverage
Build Topical Authority Through Meaningful Coverage
Topical authority is not simply publishing more pages. It requires relevant coverage and meaningful relationships between information, so the depth of a subject is visible in how the site is organised rather than in how many posts it has.
The map decides the coverage. Each core topic breaks into supporting topics, those carry entities and attributes, and the questions people ask hang off both.
- Core topicsCommercial
- Supporting topicsContextual
- EntitiesThings
- AttributesProperties
- QuestionsIntent
- ContentPages
- RelationshipsLinks
Entities
Connect Entities, Attributes and Relationships
Search systems can interpret content more effectively when the important concepts and the connections between them are expressed clearly, rather than left for a reader to infer.
Entity
+
Attribute
+
Relationship
=
Context
Query Networks
Optimize for Query Networks, Not Just One Keyword
A single topic can generate a network of related information needs. Semantic SEO considers how those questions relate to each other, which decides what belongs on one page and what needs a page of its own.
Mapping the network first also makes gaps visible before anything is commissioned, rather than after a quarter of publishing.
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01
Primary question
The definitional question the topic exists to answer.
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02
Related question
What follows naturally once the first is answered.
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03
Contextual question
Only makes sense once the subject is understood.
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04
Comparison
How the subject differs from adjacent concepts.
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05
Problem
What goes wrong, why, and what it looks like.
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06
How-to
The procedural detail that turns understanding into action.
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07
Commercial intent
Cost, selection and suitability, close to a decision.
Architecture
Organize Content Around a Clear Information Hierarchy
Content architecture determines how pages fit together and how information is organised across the website. It decides what sits at each level and what each page is responsible for, before anything is written.
Hover any node to highlight its relationships
- WebsiteLevel 1
- Core topicLevel 2
- Service · Subtopic · EntityLevel 3
- Supporting topicLevel 2
- Question · Guide · EntityLevel 3
- Related contentLevel 2
- Contextual linksLevel 4
Internal Linking
Turn Individual Pages Into a Connected Information Network
Relevant pages should reinforce each other’s context through meaningful internal relationships. Links run in both directions, so supporting content strengthens the core pages and the core pages route people onward.
What the linking layer covers
- Contextual internal links
- Descriptive anchor text
- Relevant relationships
- Core → supporting links
- Supporting → core links
- Orphan page detection
Orphaned and weakly linked pages are usually the first thing a website audit surfaces. They hold real coverage that nothing else on the site references.
Retrieval
Make Important Information Easier to Retrieve
When information is logically structured, clearly expressed and contextually connected, it can be easier for search systems to find and interpret.
Disconnected information
Relationships have to be inferred. Similar pages compete and the hierarchy is implicit.
Retrieval effort Higher
versus
Structured information
The hierarchy is explicit. Each page states its subject and points to what it relates to.
Retrieval effort Lower
- Clear hierarchy
- Clear entities
- Clear relationships
- Strong internal links
- Direct answers
Lower cost of retrieval
Cost of retrieval is used here as a strategic concept within my Semantic SEO methodology, for thinking about how easily information can be located and interpreted. It is not a published Google ranking score, and no claim is made that search engines grade websites using it.
Foundations
Semantic Structure Needs a Strong Technical Foundation
Semantic SEO does not replace technical SEO. It depends on it. A topical map, an entity model and a linking structure are only useful if search systems can reach the pages, index them, and read the markup that describes them.
When the technical layer is weak, the semantic layer above it is invisible, and the work that went into planning it never gets read.
- Crawlability
- Indexation
- Canonicals
- Site architecture
- Structured data
- Core Web Vitals
- XML sitemap
- Status codes
- Internal links
Semantic structure
+
Technical foundation
=
Better access to information
The Process
How I Build Semantic SEO Systems
Eight stages, run in order. Each one produces something the next depends on, so nothing gets written before its place in the structure is decided.
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01
Discover
Understand the business, audience, expertise and source context.
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02
Define
Establish the central entity and central search intent.
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03
Map
Build the topical map.
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04
Model
Identify entities, attributes and relationships.
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05
Cover
Identify important topics, questions and content gaps.
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06
Structure
Create the website and content architecture.
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07
Connect
Build contextual internal relationships and semantic content networks.
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08
Improve
Monitor performance, historical data, coverage and implementation priorities.
Deliverables
What My Semantic SEO Work Includes
Everything is handed over as documentation you can act on, whether your team implements it or I do.
Semantic SEO Strategy
Build a strategic framework around your website's context, entities, topics and search intent.
Topical Map
Map core topics, supporting topics, subtopics and relationships.
Entity Optimization
Identify and strengthen relevant entities, attributes and relationships.
Content Architecture
Structure pages and content around logical topical relationships.
Query Network Mapping
Identify contextual questions and related search needs.
Semantic Internal Linking
Connect relevant pages into a meaningful content network.
Technical SEO Foundation
Ensure search systems can efficiently access and understand important information.
AI Search Optimization
Prepare content structures for modern search and answer environments through relevant semantic foundations.
Fit
Who Benefits From Semantic SEO?
Service businesses
Build deeper topical coverage around services and expertise.
SaaS & technology
Connect products, features, use cases and related concepts.
Ecommerce
Organize categories, products, brands and informational content.
Expert-led brands
Build a structured knowledge system around a specific area of expertise.
Why work with me?
Build a Search Structure, Not Just a List of Keywords
My approach focuses on how topics, entities, content and website architecture work together. A keyword list tells you what to write next. A search structure tells you why each page exists, what it must cover and what it connects to.
That is the work: making the relationships inside your expertise explicit, so the website states them instead of leaving them implied.
About DanishCore methodology
- + Semantic SEO
- + Topical Authority
- + Entity Optimization
- + Content Architecture
- + Technical SEO
Questions
Semantic SEO FAQs
Semantic SEO is an approach that focuses on meaning, relationships and context rather than isolated keywords. It organises a website around a central entity, the topics that entity involves, the attributes that describe them and the questions people ask, then connects those pieces so the structure itself communicates the subject.
Traditional keyword-led SEO usually starts with a list of target terms and builds one page per term. Semantic SEO starts with the subject: what the business is, what it is organised around, and how the parts of that subject relate. Keyword research, technical SEO and on-page work all still happen, but they follow the framework instead of defining it.
No. Entities are one component. The approach also covers source context, search intent, topical maps, query networks, content architecture, internal linking and technical foundations. Entities matter because they are what topics are made of, but naming entities without structuring the content around them accomplishes very little.
The central entity is the primary subject a website is organised around, and the anchor every other topic connects back to. Holding it steady across the whole site is what stops a website reading as several loosely related businesses sharing a domain.
A topical map is a planned structure of the topics, subtopics, entities and questions a site intends to cover, together with how those pieces relate. It works as a blueprint for content and architecture, so decisions about what to publish and how to link it are made before production starts.
By deciding coverage from a map rather than a publishing calendar. The map identifies which topics are core, which are supporting, what entities and questions each one carries, and how they should link together. Authority develops from relevant, connected coverage of a subject, not from volume.
A query network is the connected set of questions a topic generates: definitional, related, contextual, comparison, problem, how-to and commercial. Mapping the network shows which questions belong together on one page and which need a page of their own, instead of treating every question as a separate keyword target.
It is the linking layer that turns individual pages into a connected structure. Contextual links with descriptive anchors run from supporting content to core pages and back again, so relevant pages reinforce each other's context rather than sitting in isolation.
No. It depends on it. A topical map and an entity model are only useful if search systems can crawl the pages, index them and read the markup describing them. Crawlability, indexation, canonicals, structured data and performance remain part of the work.
There is no universal timeline. Results depend on the website's current state, competition, historical data, content quality, technical foundation and implementation consistency.
Build your semantic foundation
Your Website Should Communicate More Than Keywords
Build a structured search system around your topics, entities, questions and relationships.