Topic clusters & interlinking: 10 pillars × 30 method

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Topic clusters + large-scale interlinking: the “10 pillars × 30 spoke” method

Hub-and-spoke diagram illustrating a pillar page and connected spokes
Featured image — The hub-and-spoke model: a pillar page that feeds specialized spokes.

TL;DR: Build 10 pillar pages (2,500–4,000 words) and 30 spokes each (800–1,500 words) to cover a topic in depth. Link each spoke to its pillar page, to 3–5 neighboring spokes, and to 1 sister resource inter-cluster. Industrialize production (templates, taxonomies, linking scripts, QA) and measure your KPIs (coverage, indexing, non-branded share, pages/cluster).

Definition & fundamentals recap

A topic cluster is a set of content organized around a pillar page (a comprehensive overview of a subject) and satellite pages called spokes (specific subtopics: how-tos, comparisons, studies, glossary). This architecture clarifies your semantic field, facilitates discovery (crawl), and distributes authority through coherent internal linking.

The “10 pillars × 30 spoke” format aims for dense and controlled thematic coverage: 10 major hubs in your domain, each served by 30 specialized contents. It’s an industrial pace, but realistic if you standardize templates, prioritize by potential, and synchronize SEO × editorial × product teams.

Post-its organizing themes and sub-themes of a topic cluster
Initial mapping: from exploration ground to executable editorial plan.

Why the “10×30” format moves the needle

Thematic authority

10 solid hubs + 300 spokes = a strong topic authority signal. You cover the lexical field, intents, and use cases, while answering peripheral questions.

Non-branded traffic

Spokes capture specific queries (long tail) and funnel up to the pillar page which converts better (guides, comparators, CTAs).

Crawl & indexing

A standardized linking structure (top <→ bottom, lateral, inter-cluster) reduces depth and speeds up discovery of new pages.

Measurement & management

Clear taxonomies enable dashboards by cluster (visibility, CVR, assisted revenues), thus informed decision-making.

Shortcut: the gain doesn’t come from 310 more URLs, but from a system where each page pushes the others in the right direction.

Quantitative framework: volumes, links, and workload

ElementAssumptionsVolumeComments
Pillar pages10 × 2,500–4,000 words10Overview, glossary, diagrams, comparison tables, CTAs.
Spokes per pillar30 × 800–1,500 words300How-to, comparisons, case studies, in-depth FAQs.
Total pages10 + 300310Dense coverage of a domain in ~4–6 months (depending on capacity).
Minimal internal linksPer cluster: pillar → 30 spokes; 30 spokes → pillar; 30 spokes × 3 lateral150 / cluster30 (down) + 30 (up) + 90 (lateral) = 150 directed links.
Inter-cluster bridges1 outgoing link / spoke300Enhances cross-discovery and site coherence.
Writing load1,000 words / spoke, 3,000 / pillar≈ 330,000 wordsTo be smoothed out by sprints and tool-assisted content ops.

Sanity check: limit each cluster to one main intent. If a pillar drifts, split it: better to have 12 coherent hubs than 8 catch-all hubs.

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Work plan in 7 sprints

  1. Sprint 0 — framing: objectives, scope, personas, key SERP features, KPIs (see measurement section).
  2. Sprint 1 — topic research: intents, volumes, difficulties, “jobs-to-be-done,” competition.
  3. Sprint 2 — mapping: 10 hubs + 30 spokes × hub, tree structure and templates.
  4. Sprint 3 — content v1: 2 pillars + 40 priority spokes (20/week = 2 weeks).
  5. Sprint 4 — content v2: 4 pillars + 80 additional spokes.
  6. Sprint 5 — completion: 4 final pillars + 180 remaining spokes.
  7. Sprint 6 — hardening: optimization, advanced interlinking, structured data, consolidation.
Sprint planning with content production burndown
Pacing by sprints avoids editorial bottlenecks and facilitates QA.

Semantic mapping & taxonomies

Approach

  • Intentions: informational, commercial, navigational, transactional.
  • Semantic axes: entities (products, problems, audiences), actions (learn, compare, choose), contexts (region, sector).
  • Clustering: group keywords / SERPs according to intent similarity and result overlap share.
  • Taxonomies: categories > subcategories > content types > auxiliary tags.

URL structure (example)

/hub/pillar-name/          ← pillar page
/hub/pillar-name/guide-x/   ← how-to spoke
/hub/pillar-name/comparative-y/
/pillar-name/faq-z/

Golden rule: one URL = one intent. Tags are complementary, not substitutes for the tree structure.

Designing pillars & spokes: templates

Pillar page — framework

  • Contextual intro + table of contents (anchors).
  • Overview (definitions, benefits, limitations).
  • Comparison (table), FAQ, diagrams.
  • “Internal resources” blocks pointing to 30 spokes.
  • CTAs: demo, quote, checklist to download.
  • JSON-LD (Article) + breadcrumbs.

Spoke — framework

  • Short intro focused on intent.
  • Procedure/Comparison + tables / screenshots.
  • Link ↑ Pillar (first screen) + 3–5 lateral links to nearby spokes.
  • 1 inter-cluster bridge (to another pillar or spoke from another hub).
  • External sources + local FAQ if necessary.
Wireframe of a pillar page and a spoke with internal link zones
Minimal wireframe of link zones for pillar and spoke.

Internal linking: proven patterns

1) Hub ←→ Spokes (top/bottom)

  • Pillar → 30 spokes (“resources” block, contextual links).
  • Each spoke → pillar (top of page + conclusion).

2) Lateral between spokes (circle)

Link each spoke to 3–5 sibling spokes (previous/next/complement). Goal: reduce depth and encourage user paths.

3) Inter-cluster bridges

Insert 1 cross link per spoke to another hub (by intent similarity). Example: an “SEO audit” spoke can link to a “Core Web Vitals” spoke from the performance hub.

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4) Navigation & breadcrumbs

Standardize menus and breadcrumb trails to reflect hierarchy. Adopt descriptive anchors (“compare X and Y” rather than “click here”).

Tip: aim for contextual links within the body text: they carry more weight than a generic sidebar block.

Industrialization: tools & automation

Recommended stack

  • Research & mapping: Ahrefs/Semrush, Google Keyword Planner, Google Trends.
  • Crawl & QA: Screaming Frog, Sitebulb, Botify (large sites), log analysis (GoAccess, ELK).
  • Content ops: CMS + templates, editorial checklists, DAM for assets.
  • Monitoring: Google Search Console, CrUX, Looker Studio, alerting on 4xx/5xx errors.
  • Governance: RACI tables, editorial calendar, internal linking guidelines.

Automate the “safe” links

Create a mapping table spoke_slug ↔ (pillar_slug, neighbors[], intercluster_bridge) and a CMS module that automatically injects these links into the intro and conclusion. The editor only manages additional contextual links.

Editorial Quality at Scale

  • Proofreading checklist (cited sources, readable screenshots, dated data).
  • Anchor policy (length, action verbs, diversity, no over-optimization).
  • Update rules (D+90, D+180, M+12) with visible changelog.
Automation of internal links with a spreadsheet and a CMS
A simple spreadsheet can manage a large part of the “safe” linking.

Measurement: KPIs & Dashboards

KPIWhereGoalInitial Target
Coverage / IndexingGSC > Pages & SitemapsTrack indexability by cluster≥ 85% at D+56
Non-brand VisibilityGSC > Queries, non-brand filtersAbility to capture discovery+25–40% at M+6
Pillar Page CTRGSC, by URL type /hub/Test titles/meta and schemas≥ 4–8% depending on SERP
Average Crawl DepthTool-assisted crawl, logsValidate the effect of linking<= 3 clicks to 95% of spokes
Assisted ConversionsAnalytics / attribution modelShow business valueSpokes → Pillar: +X%

Dashboard: create a “cluster” dimension (via URL prefix or custom dimension) to filter all views by hub.

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Pitfalls & Anti-patterns

  • Anchor over-optimization (“exact keyword” everywhere) ⟶ diversify with natural anchors.
  • Orphan spokes (no pillar backlink) ⟶ systematic ↑ links via template.
  • Catch-all clusters ⟶ refocus the main intent, split if necessary.
  • Duplication (FAQ clones) ⟶ canonical & consolidation, or unique angle per spoke.
  • Degraded performance (heterogeneous CWV) ⟶ common design system and performance budget.

Mantra: fewer URLs, more value. A precise cluster beats an oversized but vague cluster.

Mini-cases: e-commerce, SaaS, media

E-commerce

Hubs by major categories (e.g., “hiking,” “running”). Spokes: size guides, comparisons, maintenance, accessories, “best for X.” Links from spoke → relevant product categories + pillar.

B2B SaaS

Hubs by “problems solved” (compliance, data, collaboration). Spokes: playbooks, integrations, templates, benchmarks. Inter-cluster bridges via use cases (e.g., security ↔ governance).

Media / Education

Hubs by themes (economics, sciences). Spokes: dossiers, interviews, educational series. Strong lateral linking for binge-reading, logical pagination, series index.

Tools & Resources

  • Research: Ahrefs, Semrush, AnswerThePublic, Google Trends.
  • Crawl & QA: Screaming Frog (links, depth), Sitebulb (visualizations), logs (GoAccess/ELK).
  • Planning: Notion/Asana + templates, DAM for images, URL conventions.
  • Schemas: JSON-LD Article/FAQ/HowTo.
  • Performance: CrUX, PageSpeed Insights, Lighthouse CI.
  • Monitoring: GSC, Looker Studio, alerting (Statuspage, UptimeRobot).

Trends & Developments

  • Entities & graphs: strengthen sameAs, glossaries, schemas to better anchor your hubs in the ecosystem.
  • Search with AI: synthetic answers favor well-structured pillar pages rich in verifiable data.
  • Reading UX: sticky TOC, FAQ snippets, HowTo formats, embedded videos with transcriptions.
  • Continuous updating: iterate in waves (M+3, M+6) to maintain freshness and link consistency.

FAQ

How long to deploy a “10×30”?

Depending on capacity. At 20 spokes/week, 300 spokes take 15 weeks. The 10 pillars at 2/week finish in 5 weeks; start in parallel.

Should I publish pillars before spokes?

Ideally yes to avoid orphans, but you can publish a “V1” pillar (summary + key sections) then enrich it over time.

How many lateral links per spoke?

Aim for 3–5 links to sibling spokes + 1 inter-cluster link. Too many links dilute; too few break circulation.

Can I mix subdomains and subfolders?

Possible, but favor consolidation in subfolders if your goal is thematic authority.

How to avoid cannibalization?

One intent per URL, differentiated titles, canonicals if close, contextual links clarifying scope, and regular audits.

Which schemas to integrate?

Article for all, FAQPage for spoke FAQ sections, HowTo for procedural guides. Standardize author/publisher (EEAT).

How to measure business impact?

Create a “cluster” dimension (URL prefix) and track sessions, assisted conversions, revenue per cluster, visibility score, crawl depth.

Reliable sources & further reading

Conclusion

The “10 pillars × 30 spoke” method is a mechanism of thematic authority: 10 deep hubs, 300 useful spokes, and an internal linking structure that transforms the whole into a system. Standardize your templates, automate the “safe” links, invest in QA and performance, and manage by cluster KPIs.

Internal link graphs visualized in a crawling tool
Visualizing the internal graph makes link opportunities obvious.

© 2025 — SEO Article Writer. Article updated on 09/05/2025.

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Julie – Auteure & Fondatrice

Étudiante en journalisme et passionnée de technologie, Julie partage ses découvertes autour de l’IA, du SEO et du marketing digital. Sa mission : rendre la veille technologique accessible et proposer des tutoriels pratiques pour le quotidien numérique.

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