Quick Answer
A topical map is a structured architecture of every content node a website needs to publish to achieve topical authority in its niche. Coined by Koray Tugberk GUBUR on May 18, 2022, it is built on five components: Source Context, Central Entity, Central Search Intent, Core Section, and Outer Section. It is not a keyword list, a mind map, or a content calendar.
Most definitions of a topical map you will find online are incomplete. They describe a topical map as a “visual hierarchy of topics and subtopics” or a “content roadmap.” Those descriptions are not wrong, but they miss the mechanism that makes a topical map work: the structured relationship between a brand’s purpose, its central entity, and two distinct content sections that serve different strategic functions.
This article gives you the precise definition as established by Koray Tugberk GUBUR, the SEO practitioner who coined the term in 2022. It also covers what a topical map is not, how PPR scoring determines what goes in one, why the sequence of publication matters as much as the content itself, and how a well-built topical map now directly predicts visibility in Google AI Overviews and AI assistant responses.
Where the Term “Topical Map” Comes From
The concept and phrase “topical map” was first used by Koray Tugberk GUBUR in an interview with Matt Diggity on May 18, 2022. GUBUR developed the concept by studying Google search patents and research on how search engines build their understanding of topics and sources. His framework was grounded in semantic search theory, not keyword strategy: the goal was to give search engines the signals they need to classify a website as the authoritative source for a subject area, not merely a page that matches a query.
The term has since become widely used in SEO, but the original precision of the concept has often been diluted. Generic definitions describing topical maps as “mind maps” or “content hierarchies” describe the output format, not the underlying strategic architecture. The framework matters more than the spreadsheet.
The Real Definition of a Topical Map
Topical Map (Koray GUBUR, 2022)
A topical map is a systematic, structured architecture of every content node a website needs to publish to comprehensively cover a subject area around a central entity, derived from the site’s source context and designed to signal topical authority to search engines. It is not a list of keywords, a content calendar, a mind map, or a collection of topic ideas. It is a content network with a defined core section and outer section, built in a specific publication sequence to maximize the transfer of authority between pages.
What separates this definition from the generic versions you will find on Ahrefs, TopRank Marketing, or Skyranko is the framework beneath it. A topical map without a properly defined Source Context and Central Entity is not a topical map. It is a content plan. The two things produce completely different results.
The 5 Fundamentals of a Topical Map
GUBUR outlined five core components required for a functional topical map. Every element of the map must be derived from these five components in order. Skipping or misdefining any one of them produces a map that looks complete but fails to build topical authority.
1. Source Context
The purpose of the website: why it exists on the SERP, what it monetizes, and what it signals to search engines about the brand’s role. Source Context is not your niche. It is the precise relationship between your brand and the commercial or informational intent it serves. A dental clinic’s source context is providing dental services to patients in a specific geography. An affiliate SEO blog’s source context is earning commission by helping users choose between products. Every content decision in the topical map flows from the source context.
2. Central Entity
The primary entity the entire website is about. Every section of the topical map must connect back to the central entity. For an HVAC business in Melbourne, the central entity is HVAC services in Melbourne. For a B2B SaaS company selling project management software, the central entity is project management software. The central entity must be specific enough to be verified against the Knowledge Graph and broad enough to sustain a comprehensive content network.
3. Central Search Intent
The unified intent behind the site’s content strategy: the combination of Source Context and Central Entity that governs what type of content to create and what outcome it should produce for users. Central Search Intent is what ties the map together as a coherent system rather than a list of articles. It prevents the topical map from drifting into unrelated content areas that dilute entity focus and confuse search engines about what the site is actually about.
4. Core Section
The primary, monetizable content of the site. Core section pages target the main attributes of the central entity that are closest to the source context. For an HVAC business, core section pages are service pages (ducted AC installation, split system installation, VEU rebate services), location pages, and brand pages. For an affiliate blog about project management software, core section pages are tool reviews, comparisons, and buying guides. Core section pages earn direct revenue and receive internal link equity from the outer section.
5. Outer Section
The informational, authority-building content that covers minor attributes of the central entity and related subject areas. Outer section pages serve two functions: they build topical authority by demonstrating comprehensive coverage, and they propagate trust and link equity to the core section through structured internal links. For the HVAC business, outer section pages are educational blog posts (what is reverse cycle AC, how does ducted heating work, what is an EER rating). These pages are not directly monetizable but are essential for signalling topical authority to search engines.
What a Topical Map Is NOT: 6 Common Misconceptions
GUBUR explicitly stated that a topical map is not several things that the SEO community has mistakenly used the term to describe. Getting any of these wrong produces content that looks like a topical map but does not build topical authority.
❌Misconception 1
A list of keywords. Keywords are query representations. A topical map is built from entities, attributes, and relationships. A keyword list with no entity framework, no source context, and no core/outer distinction is a content calendar dressed as a topical map.
❌Misconception 2
Just “connections between entities via attributes.” GUBUR explicitly stated this is insufficient. Entity connections are one component of a topical map, but without Source Context and a defined publication sequence, entity connections alone do not produce topical authority.
❌Misconception 3
Blog post names without understanding context or semantics. A list of article titles in a spreadsheet is not a topical map. Each node in a true topical map has a defined macro context, micro contexts, intended search intent, and a specific internal link role relative to the core section.
❌Misconception 4
A mind map or visual diagram. Topical maps are sometimes drawn as visual mind maps with the central topic at the center and branches radiating outward. The visual is a presentation format. The actual topical map is the strategic architecture beneath it, not the picture.
❌Misconception 5
A content calendar. A content calendar is a publication schedule. A topical map is an architectural plan. You can derive a content calendar from a topical map, but a content calendar has no topical authority mechanism built into it.
❌Misconception 6
Equal to a site map. A site map is a list of URLs for crawler discovery. A topical map is a content strategy architecture. A site could have hundreds of pages in its site map that are semantically incoherent and produce no topical authority.
Topical Map vs. Keyword List vs. Site Map vs. Content Calendar
| Tool | What It Is | What It Cannot Do | Relationship to Topical Map |
|---|---|---|---|
| Topical Map | Strategic content architecture built on entity relationships and source context | N/A – this is the master framework | The foundation everything else is derived from |
| Keyword List | Query terms grouped by search volume and difficulty | Cannot define source context, entity hierarchy, or internal link role | Data input into a topical map; not the map itself |
| Site Map | A list of indexable URLs for crawler discovery | Cannot signal entity relationships or topical authority | Technical output after the map is published; not the strategy |
| Content Calendar | Publication schedule for content pieces | Cannot define which content builds authority vs. which earns revenue | Derived from the topical map’s publication sequence |
Core Section vs. Outer Section: What Goes Where
The distinction between core and outer section is the most commonly misunderstood part of a topical map. Many practitioners treat all content as equivalent nodes. This is the single biggest mistake in topical map implementation.
Core Section
Purpose: Directly monetizable. Converts visitors.
Content types: Service pages, product pages, category pages, location pages, comparison pages, pricing pages
Intent: Transactional or commercial investigation
Entity proximity: Directly attribute the central entity
Links: Receives internal links from outer section; links to checkout/contact
HVAC example: Ducted AC Installation Melbourne, Split System Installation Melbourne, VEU Rebate Service, Brands: Mitsubishi Electric, Daikin
Outer Section
Purpose: Authority-building. Propagates trust signals.
Content types: Educational blog posts, guides, explainers, FAQs, how-to articles, comparison articles (informational)
Intent: Informational
Entity proximity: Minor attributes, related entities, contextual coverage
Links: Links to core section pages; receives links from other outer section pages
HVAC example: What Is Reverse Cycle AC? How Does Ducted Heating Work? What Is an EER Rating? How to Read an Australian Energy Rating Label
How PPR Scoring Decides What Belongs in the Map
Not every topic that relates to your central entity belongs in your topical map. Adding everything produces diluted authority. PPR scoring is the framework for deciding which topics to include, which to exclude, and in which order to publish them.
PPR stands for Prominence, Popularity, and Relevance. Each topic candidate in the map is scored across three dimensions:
| Signal | Weight |
|---|---|
| Prominence | 40% |
| Relevance | 40% |
| Popularity | 20% |
- Prominence (40%): How closely does this topic relate to the central entity? Does it appear frequently in the same semantic context as the central entity across authoritative sources? High prominence topics belong in or near the core section. Low prominence topics may not belong in the map at all.
- Relevance (40%): Does this topic directly serve the source context? Does it help users arrive at the brand’s monetization goal? A topic that is semantically adjacent to the central entity but irrelevant to the source context wastes crawl budget and dilutes entity focus.
- Popularity (20%): Does this topic have sufficient search demand to justify the investment? Popularity has the lowest weighting because a topic can be worth including even with low search volume, if it is highly prominent and relevant. Creating content for popular topics with low prominence is the most common topical map mistake.
PPR scoring produces a ranked list of topics. Topics with high combined scores are prioritized for publication. Topics that score well on popularity alone but poorly on prominence and relevance are deprioritized or excluded. This prevents the common error of filling a topical map with high-traffic topics that do not actually strengthen the site’s authority on its central entity.
Publication Sequence: Why Order Matters as Much as Coverage
A topical map is not a flat list of pages to publish in any order. The sequence in which content is published determines how effectively authority transfers between pages and how quickly search engines develop confidence in the domain’s topical coverage.
The principle is topical dependency: pages that provide broader context for a topic should be published before pages that depend on that context. A page about “how to size a ducted AC system for a 3-bedroom home” depends on a context that has already been established by a page about “what ducted air conditioning is.” Publishing the specific page before the foundational page produces an orphaned node that cannot fully leverage the authority of related pages.
The practical publication sequence rule: publish core section pages first, then outer section pages in order of their topical dependency. Each outer section page should be linked to and from the pages whose context it extends or depends upon. This creates a self-reinforcing network where authority flows from the outer section into the core section and between outer section pages that share entity proximity.
Topical Maps and AI Overview Visibility
Google’s AI Overviews, ChatGPT, Perplexity, and other AI engines do not generate answers from isolated pages. They build answers from sources they have already classified as topically authoritative on the subject of the query. A site with a comprehensive, well-structured topical map is more likely to be cited in AI-generated answers than a site with equivalent content but no topical architecture, for two reasons:
Coverage breadth. AI retrieval models evaluate the comprehensiveness of a source’s coverage before deciding whether to cite it. A site that has answered every relevant question about a topic is more citable than a site that has answered some of them. A topical map ensures the coverage is comprehensive by design.
Internal link structure. AI crawlers follow internal links to build their understanding of a domain’s content network. Sites with structured internal linking between topically related pages give AI systems a navigable path through the full scope of the site’s expertise. Sites where pages are internally isolated produce a fragmented picture of the domain’s authority.
Our AEO services extend topical map strategy specifically for AI Overview citation optimization, restructuring content to satisfy the direct-answer formats that AI Overview generation systems prioritize.
Frequently Asked Questions About Topical Maps
Who invented the topical map concept?
Koray Tugberk GUBUR coined the concept and phrase “topical map” on May 18, 2022, during an interview with Matt Diggity. GUBUR derived the concept from Google search patents and research on information retrieval, entity-based ranking, and source quality signals. The term has since been adopted widely in SEO, sometimes with less precision than GUBUR’s original five-component definition.
Is a topical map the same as a content strategy?
A topical map is more specific than a content strategy. A content strategy encompasses goals, channels, brand voice, audience personas, content formats, and distribution. A topical map is specifically the entity-based architecture of what a website needs to publish to achieve topical authority with search engines. A topical map is one component of a broader content strategy, but it is the component that most directly determines search ranking outcomes.
How many pages should a topical map have?
There is no fixed number. The correct size of a topical map is determined by the comprehensiveness required to outperform the most authoritative competing source in the niche. A local service business in a low-competition niche may need 30-80 total pages. A SaaS company in a competitive niche may need 150-300. The topical map should be as large as it needs to be to cover the subject area more comprehensively than any competitor, and no larger: adding topics that are not prominent or relevant to the central entity dilutes authority rather than building it.
What is the difference between a topical map and topical authority?
A topical map is the strategic plan: the architecture of what to publish. Topical authority is the outcome: the degree to which search engines recognize the site as the authoritative source for a subject area. Topical authority is built by executing the topical map. The map without execution produces nothing. Execution without a map produces content that may rank for individual queries but never accumulates into domain-level topical authority.
Can I build a topical map with ChatGPT or AI tools?
AI tools can help generate topic ideas and organize them into a hierarchical list, but they cannot automatically apply the five-component framework that makes a topical map functional. They cannot determine your Source Context, evaluate topics against your specific monetization model, distinguish core from outer section accurately, or apply PPR scoring using real SERP and entity data. AI-generated topic lists are useful as research inputs into a topical map build, but they are not a substitute for the strategic architecture that makes the map produce topical authority.
How often should a topical map be updated?
A topical map is a living framework that should be reviewed and expanded as the niche evolves. GUBUR identifies three primary methods for topical map expansion: (1) covering more entities of the same type, (2) covering more attributes from already-existing entities, and (3) deepening context with further consistency in existing topics. In practical terms, the topical map should be reviewed every six months for coverage gaps and every time the brand’s source context shifts, such as when entering a new market or launching a new product category.
Does a topical map only apply to blogs and informational sites?
No. Topical maps apply to every type of site: eCommerce, SaaS, local service businesses, B2B companies, publishers, and affiliates. The ratio of core to outer section content differs by business model: an eCommerce store will have a larger core section (product and category pages) relative to its outer section than a publisher. But the fundamental architecture applies universally: every site needs a defined central entity, a Source Context, and both core and outer content to build topical authority.
What is PPR scoring in the context of a topical map?
PPR scoring is the prioritization framework used in the Koray GUBUR topical map methodology. Each candidate topic in the map is scored on three dimensions: Prominence (how closely it relates to the central entity, weighted at 40%), Relevance (how directly it serves the source context, weighted at 40%), and Popularity (how much search demand exists for it, weighted at 20%). Combined PPR scores determine which topics enter the map, which section they belong to, and in what order they should be published. Popularity is intentionally weighted lowest to prevent the common mistake of chasing traffic volume instead of building entity authority.
