The quarterly 8-step maintenance discipline for Wikipedia entries as AI citation infrastructure. Companion to the 12-Step Build Checklist. Build with 12. Maintain with 8.
AI vendors are being deployed in schools and universities on standard commercial terms that don't satisfy FERPA's school official exception. The four contract provisions every institution needs before the next EdTech contract is signed.
BetterHelp — founded 2013, no clinical credentialing body — out-cites the American Psychological Association across consumer mental health AI queries. The structural reason, and what it means for every clinical institution with an AI visibility gap.
Most brokerages are invisible in AI answers. These 10 brands aren't. What they did differently — and what every real estate company can learn from the positive case.
The Act 60 application window has a processing timeline problem. So does the AI answer layer for Puerto Rico wealth relocation. Both are closing. The advisers who move first own the query for years.
SEC.gov in Finance. NIST in Cyber. NIH in Health. Cornell LII in Law. Every category with a regulatory dimension has government sources sitting at the factual floor of its AI answers. The pattern — and what it means for brands in regulated industries.
InsideEVs over Car and Driver. Above the Law over The American Lawyer. The Dink over ESPN. In every category, the trade publication out-cites the legacy incumbent in AI answers. The structural reason — and what it means for earned media.
The menopause AI answer layer was built in 36 months by venture-backed clinics. Midi Health and Alloy own Tier 1. The American College of OBGYN is at Tier 2. How a category's AI answer layer gets built from scratch — and what the healthcare establishment missed.
Build to Wikipedia's editorial standards first. AI visibility is the downstream effect. The practical guide — notability threshold, lede architecture, section structure, sourcing rules, COI protocol, entity linking, maintenance cadence.
Which brand Wikipedia entries consistently surface in AI answers — and what they have in common. Structure, sourcing, entity completeness, and maintenance patterns across 10 top-performing entries.
