What a pillar page is
A pillar page is the reference page for a topic: it covers a broad theme in its entirety and serves as the anchor point for a set of more specific articles. Where a classic article answers a single question, the pillar maps an entire territory.
In concrete terms, it targets a high-volume generic query — "content strategy," "local SEO," "AI optimization." This query is too broad to be satisfied by a short answer, and too competitive to be won by a single average article. The pillar covers it at the surface, structures the topic into sub-themes, then delegates the detail to satellite pages.
Why a single page is no longer enough
Google and AI engines no longer evaluate an isolated page but the topical authority of your site on a subject. Publishing thirty scattered articles about SEO produces a weak signal. Organizing them around a pillar produces a strong signal: you demonstrate systematic coverage, not opportunistic coverage.
This is also what makes the model relevant for visibility in AI answers. LLMs cite the sources that cover a subject in depth and in a structured way. A coherent cluster offers exactly that profile.
The hub-and-spoke model
The hub-and-spoke model describes the relationship between the pillar (hub) and its satellites (spokes). The hub covers the broad topic; each spoke goes deeper into a sub-question; they all link to the hub, and the hub references them in return. It is a wheel: the hub at the center, the spokes radiating from it.
This structure solves two problems at once. It captures the volume on the generic query through the pillar, and the long tail through the spokes. And it circulates authority: every link from a spoke to the hub passes signal to the pillar, which gradually becomes the strongest page in the cluster on its target query.
Hub-and-spoke vs semantic silo
Both approaches share the idea of organizing content into clusters, but they differ in the rigor of the link network. Hub-and-spoke favors a star-shaped relationship around the pillar. The semantic silo imposes a stricter hierarchy, where each page links only to pages at the same level or directly adjacent in order to channel semantic relevance.
| Criterion | Hub-and-spoke | Semantic silo |
|---|---|---|
| Link logic | Star around the pillar | Strict hierarchy by levels |
| Flexibility | High, free to add spokes | Low, plan fixed upfront |
| Main objective | Topical authority + conversion | Maximum semantic relevance |
| Implementation | Accessible, iterative | Demanding, planned |
The two are not opposed: a silo can be built around a hub pillar. Hub-and-spoke is simply more permissive and easier to evolve over time.
Building the pillar page step by step
Building a pillar page follows a precise sequence: choose the topic, map the sub-themes, structure the page, then weave the link network. The most common mistake is to write first and organize afterward. Architecture comes first.
The topic must justify at least ten satellites. If it fits in one article, it is not a pillar. Test it: can you list ten distinct sub-questions your prospects are asking?
List every sub-question. Each one will become a spoke. Group them by intent (informational, comparative, transactional) to spot gaps and duplicates before writing.
Each section opens with a direct answer of 134 to 167 words, the optimal length for a passage to be extracted and cited by an AI engine. The pillar must be readable both at a glance and in depth.
LLMs do not execute JavaScript. If your pillar loads its sections through dynamic client-side content, they are invisible to AI crawlers. Static HTML or SSR is not optional.
Every spoke links to the pillar; the pillar links to each spoke from the relevant section. Anchors must be descriptive, never "click here." See our guide to internal linking for SEO for the detailed mechanics.
Making the pillar citable by AI engines
Beyond structure, add FAQPage JSON-LD markup: it is a strong signal for AI Overviews, which readily rely on structured question-answer pairs. More than half of Google queries now trigger an AI Overview, and 92% of the citations they display come from the top 10. A solid, well-linked pillar is precisely designed to occupy those positions.
47% of the positions cited in AI Overviews come from places 5 to 10, not just the podium. A pillar that climbs to the first page, even in the middle of the top 10, remains a candidate for citation.
Concrete cluster examples
Here are three typical clusters to make the model tangible. Each one starts from a broad pillar and branches into spokes targeting distinct intents.
Example 1 — "Content strategy" pillar
The hub covers the definition, the benefits, the main steps and the formats. The spokes address: editorial calendar, audit of existing content, ROI measurement, content brief, content repurposing. The pillar captures the broad commercial query; each spoke captures a precise operational query and sends qualified traffic back to the hub.
Example 2 — "Local SEO" pillar
The hub explains how local SEO works and what is at stake. The spokes: Google Business Profile listing, customer review management, NAP and local citations, geo-targeted keywords, multi-location SEO. This cluster nicely illustrates how an informational pillar feeds a commercial service page at the end of the chain.
Example 3 — "AI visibility" pillar
The hub introduces optimization for generative engines. The spokes: llms.txt, schema markup, passage citability, off-site brand mentions, accessibility to AI crawlers. It is on this type of cluster that tomorrow's visibility is decided: off-site brand mentions (YouTube, Reddit, Wikipedia) correlate more strongly with AI citations than Domain Rating, according to Ahrefs' analysis of 200,000 domains published in December 2025.
Connecting pillar page and clusters
The pillar page only has value when connected to its cluster: without a link network, you have a long article and orphaned satellites, not a cluster. The link is what turns a collection into an architecture, and that is precisely what engines reward.
Three rules govern this link network. First, bidirectionality: every hub-spoke relationship reads in both directions. Second, contextuality: links originate in the body of the text, from the relevant sentence, not from a "related articles" block in the footer. Third, descriptive anchors: the anchor describes the target page, which helps both the user and engines anticipate the content.
Keeping the cluster alive over time
A cluster is not fixed. Every new spoke is an opportunity to update the pillar — a line, a link — so that it remains the up-to-date map of the subject. Conversely, when a pillar becomes too dense, it is the signal that a section deserves its own sub-pillar. This maintenance discipline is what separates a living cluster from a pile of articles. Our Content SEO & GEO offer rests entirely on this logic: building architectures that strengthen with each publication rather than diluting themselves.
To structure your first cluster without starting from scratch, the GEO Audit Templates Pack provides the sub-theme mapping framework and the link matrix ready to use.
Request your free GEO audit: we map your existing clusters and identify the pillars to build first.
Questions fréquentes
How long should a pillar page be?+
A pillar page generally exceeds 2,000 words because it covers a broad topic in its entirety. Length is not a goal in itself: it follows from the real comprehensiveness of the subject. Better 2,500 words that address every sub-theme than a page artificially inflated.
How many spokes do you need per pillar page?+
Count between ten and twenty satellite articles for a mature cluster. Below five, the topic is probably too narrow to justify a pillar. Beyond twenty, split it into sub-clusters with intermediate pillars.
Can a pillar page be a service page?+
Yes. A well-structured service page often makes an excellent pillar page: it targets a broad commercial query and can point to explanatory blog articles. This is the ideal setup to turn informational traffic into commercial inquiries.
Should spokes link to each other or only to the pillar?+
Both. Every spoke must link to the pillar and vice versa, that is the foundation of the model. But spokes covering adjacent topics gain from linking to one another: it reinforces the cluster's semantic coherence and helps engines understand its structure.
