Original Interviews and Primary Sources: The 2027 Link-Earning Format

TL;DR An interview is not a research method. It is a publication event: the moment a source with no URL becomes a document with one. Its value therefore tracks the retrieval gap it closes, not the standing of the person quoted. Two filters sit between what a source knows and a sentence an engine can […]

Lived Proof: Why Reddit-Style Corroboration Beats Polished Pages

TL;DR Reddit supplies somewhere between 0.1% and 46.7% of an answer engine’s citations depending entirely on which engine you ask. Evidence does not vary four hundredfold by reader. That spread is not a trust judgement — it is a procurement outcome, and the contract behind the largest slice of it expires in the first half […]

The Contrarian-Truth Advantage: Why Consensus Content Stops Earning Citations

TL;DR Every 2026 answer-engine framework tells you to take a stand. Every prompt-hygiene guide tells you to strip opinion markers because they raise perplexity. Both camps measured the same variable and got opposite signs, which is what happens when a field measures a proxy instead of a mechanism. Contrarian is not a property of your […]

Detecting and Out-Competing AI-Generated Competitor Content

TL;DR Two verbs, and only one of them has an answer The genre that has grown up around this problem is short and consistent. Run your competitors’ pages through a detector. Find the ones that come back synthetic. Then out-produce them, usually with a better-supervised version of the same pipeline. Every part of that sequence […]

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