Chapter 1: Why blog hubs are the #1 AEO strategy
If you read Make ChatGPT Promote Your Business, you already know the basics: AI engines are replacing Google as the place where buyers find products and services, and your job is to become the business those engines recommend.
What that book didn’t cover in depth is the single most effective structural strategy for earning those recommendations. That strategy is the blog hub.
A blog hub is not a new idea. Content marketers have used versions of it since at least 2013, when Rand Fishkin at Moz started writing about pillar pages.
HubSpot formalized the model in 2017 and saw a 40% organic traffic increase in three months just by re-organizing existing content.
But what’s changed in 2025 and 2026 is that the blog hub has become the dominant architecture for AI visibility specifically.
The data on this is now overwhelming, and it’s the reason this book exists.
What a blog hub actually is
A blog hub is an interlinked set of pages on your website, all organized around one broad topic. It has three parts.
The pillar page (also called the hub page or cornerstone page) provides a comprehensive overview of the main topic and acts as the central node.
Cluster pages are individual deep dives on subtopics or specific questions related to the main topic.
Bidirectional internal links connect everything: every cluster page links back to the pillar, the pillar links out to every cluster, and related clusters link to each other.
You’ll hear different names for this: topic clusters, pillar-cluster model, hub-and-spoke architecture, content silos. They all describe the same basic structure.
Ahrefs’ Joshua Hardwick put it bluntly: “Topic clusters, content hubs, pillar pages, hub and spoke.
Whatever you call them, they are all essentially the same thing: topically grouped pages designed to cover a subject and rank.”
Blog hub structure: the hub-and-spoke model
PILLAR PAGE Comprehensive overview of the main topic – Links to every cluster page
↕
Cluster page 1 Subtopic deep dive – Cluster page 2 Subtopic deep dive – Cluster page 3 Subtopic deep dive – Cluster page 4 Subtopic deep dive
Cluster page 5 Subtopic deep dive
↔ Cluster pages also cross-link to each other where topics overlap ↔
The model differs from the old-fashioned approach of publishing standalone blog posts on whatever topic comes to mind. Those orphan posts sit in isolation.
A blog hub connects related content into a web that search engines and AI engines can crawl, understand, and use as evidence that you know your subject inside and out.
The data behind why hubs dominate AI citations
Three large-scale studies published in 2025 and early 2026 converge on the same finding: sites with interlinked topical coverage earn dramatically more AI citations than sites with scattered standalone pages.
Yext analyzed 6.8 million AI citations and found that sites with topic clusters earn 3.2 times more AI citations than single-page competitors.
Even more telling, 86% of AI citations came from sites with five or more interconnected pages on a topic. That’s not a marginal advantage. It’s a structural one.
AirOps studied 815,484 query-page pairs and found that 32.9% of pages cited by AI engines appeared only in search results for fan-out sub-queries, not the original user prompt.
Your cluster pages are catching queries that your pillar page never would have ranked for on its own.
Kevin Indig’s Gauge study, which analyzed 1.2 million ChatGPT responses, added another dimension: the top 30 domains in any topic capture 67% of all ChatGPT citations.
Only 5% of cited pages get pulled for 10 or more unique prompts. The pages in that top 5% are almost always broad category-level guides backed by deep clusters.
Study Sample size Key finding
Yext, 2025 6.8M citations Sites with topic clusters earn 3.2x more AI citations; 86% of citations from sites with 5+ interlinked pages
AirOps / Indig, 2025 815K query-page pairs 32.9% of cited pages appeared only in fan-out sub-query results, not the original query
Indig / Gauge, 2025-26 1.2M ChatGPT responses Top 30 domains capture 67% of all ChatGPT citations in any topic
Ahrefs, 2025-26 4M+ AI Overview citations 31% of cited pages don’t rank in Google’s top 100 for the original query
Princeton / Allen AI (GEO paper) Multiple AI engines Citations, quotations, and statistics boosted visibility up to 40%
How this connects to Make ChatGPT Promote Your Business
In the first book, we covered the full landscape of Answer Engine Optimization: how AI engines decide which brands to recommend, how to structure individual pages for extraction, schema markup, llms.txt files, authority building, reviews, and measurement.
The blog hub is where all of those tactics come together into a single, scalable system.
Think of it this way. The first book taught you what signals AI engines look for when deciding who to recommend.
This book teaches you how to build the content machine that generates those signals at scale.
A blog hub is the difference between optimizing one page at a time and building an asset that compounds over months and years.
Everything you learned in the first book still applies. Schema markup still matters.
Entity recognition still matters. Content freshness, cosine similarity, third-party mentions, reviews, and E-E-A-T signals all still matter.
The blog hub is the architecture that ties them all together and multiplies their effect.
The reframe: focused pages beat ultimate guides
Here’s where the data contradicts what a lot of content marketers still believe. The old playbook said to write the longest, most comprehensive pillar page you could manage.
A 5,000-word “ultimate guide” that covered every angle of a topic, surrounded by thin 500-word cluster posts. That approach worked for Google in 2019.
It does not work for AI engines in now.
Indig and AirOps found that moderate subtopic coverage (26-50% of the possible subtopics) actually outperforms exhaustive coverage.
Mixed “ultimate guide” pages that try to answer twenty questions in one article are the least reliable format for AI citation.
Pages over 20,000 characters get more citations than tiny pages, but the curve flattens hard above 5,000-10,000 characters.
Ahrefs measured the correlation between content length and AI citation at 0.04, which is statistically zero.
And 53% of AI Overview citations go to pages under 1,000 words.
The takeaway: the hub structure still wins, but each individual page needs to be focused, tight, and built to answer one question well rather than twenty questions adequately.
Bernard Huang at Clearscope independently reached the same conclusion with what he calls “ranch-style SEO.”
Instead of building a skyscraper pillar and hoping people look up, you spread focused content across a ranch of interlinked pages at ground level. The architecture is still a cluster.
The unit of content just got smaller and sharper.
Prompt: Identify your best hub topic
Ask ChatGPT: “I sell [your product/service] to [your target customer].
What is the single broadest topic I could build a blog hub around that would make AI engines like you associate my brand with this category?
The topic should be broad enough to support 10-15 subtopic articles but specific enough that I can be the best source on it.”
Use the answer as a starting point for Chapter 4, where we cover hub topic selection in detail.
