Practical reference notes on prompt sets, citations, brand mentions, and honest measurement of AI visibility.
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Schema For AI Search: What's Actually Worth Implementing
Separating documented uses from cargo cult, and a minimum viable schema set with the reasoning attached.
Nov 4, 2026 • RankRift
Read moreIf A Retriever Can't Render It, It Doesn't Exist
Client-side rendering, gating, and infinite scroll — how to test what a retriever actually sees on your pages.
Nov 4, 2026 • RankRift
Read morellms.txt: What It Is And Whether It Does Anything Yet
What the file proposes, who honors it, and an evidence-led answer to whether it's worth your afternoon.
Nov 4, 2026 • RankRift
Read moreHow To Find AI Crawlers And Assistants In Your Server Logs
Copy-pasteable log queries, plus how to tell a training crawl apart from a live user-triggered fetch.
Nov 4, 2026 • RankRift
Read moreHow To Structure Content So Assistants Lift The Right Paragraph
Getting cited for the wrong sentence is a structure problem. Self-contained sections, defined terms, stable tables.
Nov 4, 2026 • RankRift
Read moreShould You Allow Or Block AI Crawlers? A Decision Framework
Not a default — a decision tree by business model, with the tradeoffs stated honestly in both directions.
Nov 4, 2026 • RankRift
Read moreThe AI Crawler Reference: Who's Crawling You And What Each Bot Does
A maintained reference of AI crawler and agent user agents — owner, purpose, and how each is controlled.
Nov 4, 2026 • RankRift
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