Koray Tuğberk GÜBÜR’s topical authority framework says a site earns authority when a search engine can resolve it to one clear central entity, find complete coverage of that entity’s attributes, and see that coverage published in a logical order and linked from broad to specific. It replaces keyword lists with a model of the subject itself. I’m a certified practitioner of the framework and it underpins every map we build at Ayonchy; this is the plain-language version.
Who Koray Tuğberk GÜBÜR is
Koray Tuğberk GÜBÜR is a Turkish SEO researcher and the founder of Holistic SEO & Digital. He is best known for public topical authority case studies and for popularising semantic SEO concepts such as source context, central search intent and semantic content networks. His framework draws on how search engines model entities and language, and on published search engine patents and research.
The core concepts
| Concept | What it means in practice |
|---|---|
| Source context | What kind of source your site is and what it is entitled to be an authority on. A lawyer’s site and a legal-news site cover the same law differently. |
| Central entity | The single subject the site exists to be the reference for. Everything connects back to it. |
| Central search intent | The one job each page does, which prevents pages competing for the same query. See central entity and central search intent explained. |
| Entity-Attribute-Value (EAV) | Model the entity, the attributes people ask about and their values before writing anything. |
| Core and outer sections | Core pages carry commercial intent; outer pages build depth and context. Both are required. |
| Contextual hierarchy | Publish and link from broad to specific so every page has a parent that gives it context. |
| Query network | The cluster of related questions around each node, which defines what a complete page must answer. |
| Semantic content network | The finished site: pages connected by meaningful links that mirror the relationships in the map. |
| Cost of retrieval | The idea that search engines favour sources that are cheap to crawl, understand and trust. Clear structure lowers that cost. |
Definitions of these and related terms are collected in the semantic SEO glossary.
How the pieces fit together
- Declare source context and remove what contradicts it.
- Define the central entity and model its attributes with EAV.
- Build the topical map with core and outer sections, one central search intent per URL.
- Cover each node’s query network so pages answer the full set of related questions, including the sub-questions behind query fan-out.
- Publish in contextual order at a cadence you can sustain.
- Link intent-progressively, broad to specific, with anchors that describe the destination. See semantic internal linking.
The full execution sequence, with what breaks it and how to measure it, is in how to get topical authority for a website.
Common misreadings of the framework
- “Topical authority means publishing hundreds of articles.” Volume without a map produces scattered coverage. The framework is about completeness and order, not count.
- “It’s anti-keyword.” Keyword data still matters for phrasing and prioritisation. It just doesn’t decide what the site is about.
- “Only outer content matters.” Sites that publish only informational pages struggle to convert. Core sections are half the model.
- “Links don’t matter.” External links still amplify authority; the framework says they can’t replace coverage.
- “It’s a hack.” It’s closer to how a good editor plans a reference work. That’s why it keeps working through algorithm updates.
Why it matters more in the AI search era
AI search assembles answers from many sub-queries and cites the pages that rank for them. A 2026 benchmark found 93% of Google AI Mode citations came from the organic top 10. A site built as a complete semantic content network ranks across those sub-queries, which is why the framework has become more valuable, not less, since AI Overviews arrived. More on that in why AI Mode cites only top-10 pages.
Applying it
Start small: pick one section of your subject, model it with EAV, map it, and publish it completely before expanding. If you want software built around these exact concepts, SemanticOS implements them as connected modules; if you’d rather have a practitioner do it, see the semantic SEO audit or the topical map creation service.
Frequently asked questions
What is Koray's topical authority framework?
It is a semantic SEO methodology by Koray Tuğberk GÜBÜR that builds authority by defining a site’s source context and central entity, modelling the subject with entities and attributes, mapping it into core and outer sections, and publishing and linking in contextual order.
What is source context in SEO?
Source context is what kind of source a website is and what it is entitled to be an authority on. It shapes which topics the site should cover and how.
What is a semantic content network?
A semantic content network is a set of pages connected by internal links that mirror real relationships between entities and topics, built from a topical map.
Is Koray's framework still relevant with AI search?
Yes, arguably more so. AI search cites pages that rank across many sub-questions, and complete, well-structured topical coverage is how sites achieve that.