<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Field Notes — vAEO</title><description>Strategic Diagnostician memos from the AI Visibility audit floor. Cross-published к LinkedIn + Substack.</description><link>https://vaeo.ai/</link><language>en</language><item><title>«AI doesn&apos;t inherit your brand recognition.»</title><link>https://vaeo.ai/field-notes/ai-doesnt-inherit-brand-recognition/</link><guid isPermaLink="true">https://vaeo.ai/field-notes/ai-doesnt-inherit-brand-recognition/</guid><description>Twenty years of Google brand equity · zero authority signal to a fresh AI engine that doesn&apos;t know you exist. The entity graph is the new domain authority. Three failure modes from 2026-Q1 audits — brand confusion · category misclassification · pure invisibility.</description><pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate><category>AEO Fundamentals</category><category>Brand Equity</category><category>Category Framing</category><author>vlad@vaeo.ai (Vladyslav Rovnianskyi)</author></item><item><title>«The interpretation gap.»</title><link>https://vaeo.ai/field-notes/interpretation-gap/</link><guid isPermaLink="true">https://vaeo.ai/field-notes/interpretation-gap/</guid><description>Your content says X. AI engine interprets it as Y. Buyer reads Y as fact. The gap is not a content problem — it&apos;s a structural problem. Counterintuitive finding from 12 2026-Q1 audits — L2 Structure fixes outperform L3 Semantics content rebuild.</description><pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate><category>Citation Stack</category><category>Methodology</category><category>L2 Structure</category><author>vlad@vaeo.ai (Vladyslav Rovnianskyi)</author></item><item><title>«AI engines rank · they don&apos;t recommend.»</title><link>https://vaeo.ai/field-notes/ranking-not-recommendation/</link><guid isPermaLink="true">https://vaeo.ai/field-notes/ranking-not-recommendation/</guid><description>The most expensive misunderstanding in AI Visibility is treating ChatGPT like Google&apos;s #1 result. Ranking lists order options for the reader to choose from. Recommendations select for the reader — the engine does the choosing. AI engines do the second · and the optimization mechanics flip when that&apos;s true.</description><pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate><category>AEO Fundamentals</category><category>Category Framing</category><author>vlad@vaeo.ai (Vladyslav Rovnianskyi)</author></item><item><title>«Three losses Google Analytics doesn&apos;t show you.»</title><link>https://vaeo.ai/field-notes/three-losses-invisible-in-analytics/</link><guid isPermaLink="true">https://vaeo.ai/field-notes/three-losses-invisible-in-analytics/</guid><description>AI Visibility introduces three failure modes traditional analytics can&apos;t measure: Invisibility (brand cited zero times) · Misrepresentation (AI describes brand wrong) · Substitution (competitor named in your category). None surface in Google Analytics. Each has measurable downstream cost.</description><pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate><category>AI Visibility</category><category>Analytics</category><category>Category Framing</category><author>vlad@vaeo.ai (Vladyslav Rovnianskyi)</author></item><item><title>«We audited our own site before launching it.»</title><link>https://vaeo.ai/field-notes/we-audited-our-own-site/</link><guid isPermaLink="true">https://vaeo.ai/field-notes/we-audited-our-own-site/</guid><description>The cobbler&apos;s son problem in AEO consulting is real and unsolved across the category. Most AEO vendors sell what they don&apos;t apply. We applied vAEO methodology к vaeo.ai before launch — seven first-pass misses disclosed honestly (three caught in initial audit · four caught while writing the dogfood case page itself) · 35% aggregated Share of Model at Gate C pre-launch probe.</description><pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate><category>Dogfood</category><category>Self-AEO</category><category>Methodology</category><author>vlad@vaeo.ai (Vladyslav Rovnianskyi)</author></item></channel></rss>