Topic hub / AI search
AI search / GEO / AEO
A practical hub for ranking in AI search when search becomes a chat: direct answers, weekly AI-visibility reviews, crawlable HTML evidence, and internal links that teach models what belongs together.
Short answer
The clearest useful source wins more citations.
GEO and AEO are not tricks. They are the discipline of publishing pages that answer one question fast, show the proof in HTML, and connect that proof to related Thoughts, Feed notes, Radar signals, and product surfaces.
Curated links
AI search map
Thought
How to rank in AI search
The core page on answer-first intros, canonical structure, internal links, and proof that answer engines can safely reuse.
Dive
HTML-first evidence
Why crawlable HTML still matters when machines read before humans click, and why llms.txt plus chapters.json only help when the page itself is citation-ready.
Radar
AI search change log
A dated stream of retrieval, ranking, and interface shifts worth folding back into the main-domain hub before the cluster goes stale.
Thought
Authority compounds through linked proof
A broader moat argument for why clusters, repeated terminology, and cumulative receipts outperform isolated essays.
Stack
Framer site layer
The publishing surface where metadata, canonical pages, alt text, internal links, and page quality either reinforce the cluster or quietly weaken it.
Feed
Recent AI search notes
Short-form notes that turn new AI-search signals into fresh internal links, updated intros, and stronger next-step context.
Operating checklist
Use it before you scale it
Make every page answer one concrete question better than a generic summary can.
Use clean internal links so the site teaches crawlers which ideas are related.
Show evidence, examples, products, and founder context near the claim.
Create pages that can be quoted in snippets, AI overviews, and LLM answers.
Refresh important hubs when weekly AI-visibility reviews or new Radar signals change the argument.
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