Mental Models for the AI EconomyWeb & AI Search
Topical Authority: 30 Connected Pages Beat 300
Authority is the shape of your knowledge, not the size of your archive. How to map a topic, assign one owner per question, and link hub, spoke and sideways.
A site with three hundred pages on a topic and a site with thirty can have the same authority — or the smaller one can win outright. Authority is not counted in pages. It is counted in the questions you answer completely and how clearly those answers connect.
What is topical authority?
Topical authority is the degree to which a site demonstrably covers a subject in depth. Google does not name a “topical authority score,” but its guidance on helpful content asks whether a page demonstrates first-hand expertise and depth of knowledge, and its systems evaluate sites, not only pages (Google Search Central). In practice, sites that answer the whole question space of a topic, with connected pages, are more consistently retrieved for it.
Why 30 connected pages beat 300 orphaned ones
- Crawl paths. Connected pages are discovered and recrawled; orphans are not.
- No cannibalization. When one page owns one question, you stop competing with yourself.
- Context for retrieval. A passage that links its terms to definitions carries its context with it — which matters for RAG-based answer engines.
- Trust signals. A visible author, consistent definitions and sourced claims are the practical expression of E-E-A-T.
Authority is the shape of your knowledge, not the size of your archive.
How to map a topic
- List the entities that define the topic. For AI search on this site: SEO, AEO, GEO, knowledge graphs, AI Overviews, AI visibility.
- List the questions buyers actually ask about each: definitions, comparisons, how-tos, costs, mistakes, timelines.
- Assign one owner page per question. Merge duplicates; redirect the losers.
- Find the gaps — questions with no owner — and write those next, in order of business value.
- Link the cluster. Every supporting article links to its hub; the hub links to every supporting article; siblings link where a reader would naturally go next.
Hub, spoke and sideways
| Link | From → to | Anchor |
|---|---|---|
| Up | Article → hub | The entity name (“GEO”) |
| Down | Hub → article | The article's question |
| Sideways | Article → sibling | The next question a reader has |
| Across | Hub → related hub | The relationship (“measured by AI visibility”) |
How to know it is working
In Search Console, watch impressions for the cluster's query set rather than single keywords. In AI assistants, sample your category questions monthly and record whether you are named — see the measurement method. And watch for the leading indicator nobody tracks: whether new articles in a mature cluster get indexed and earn impressions faster than early ones did.
Related: AI pages vs. AI architecture, building a site-wide entity graph, and the timing question in how long SEO takes.
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Performance marketing and search leader who builds — 15+ years in digital growth and product (AT&T/DirecTV, Microsoft, Employbridge, Site Impact), now running his own properties with AI. These essays are field notes from that loop: what AI actually changes about work, product, and the economics underneath. Based in South Florida.
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