AUTHORITY LAYER · STRATEGIC DIAGNOSTICIAN · FIELD-MEMO VOICE

Field Notes — memos from the audit floor.

Strategic Diagnostician observations · field-memo voice · cross-published к LinkedIn + Substack (future) · 1-2 new notes per week sustainable cadence.

ANSWER · AEO-EXTRACTABLE

Field Notes are Strategic Diagnostician memos from the AI Visibility audit floor. Five inaugural posts at launch · subsequently 1-2 per week sustainable cadence.

Each Field Notes note is a discrete unit: an observation from client engagement · a frame applied to a real audit case · a clean contradiction named · a quotable close. Field Notes are NOT «AI SEO» blog content. They are field-memo register operator writing — focused on patterns vAEO observes across cross-engine probes · L1-L4 fix sequences · client objection-handling · category framing work.

The five inaugural posts:

  • «AI engines rank · they don't recommend.» (Ranking-Not-Recommendation · frame anchor) — the most expensive misunderstanding в AI Visibility: treating ChatGPT like Google's top organic result. The optimization mechanics flip when the engine selects sources versus orders options.
  • «AI doesn't inherit your brand recognition.» (recognition shock) — twenty years of Google brand equity · zero authority signal to a fresh AI engine that doesn't know you exist. The entity graph is the new domain authority · and it doesn't transfer.
  • «The interpretation gap.» (methodology depth) — your content says X · AI engine interprets it as Y · buyer reads Y. The fix lives at L2 Structure of the Citation Stack · not at L3 Semantics. Why structural fixes deliver disproportionate uplift.
  • «Three losses Google Analytics doesn't show you.» (personal-stakes) — Invisibility · Misrepresentation · Substitution. The three failure modes AI Visibility introduces · none of which surface in traditional analytics.
  • «We audited our own site before launching it.» (self-AEO proof teaser) — what we found · what we missed в first pass · why the dogfood case is the load-bearing answer к cobbler's-son problem.

Cross-publication: canonical version lives at /field-notes/{slug} · LinkedIn version is the original post (carousel or text) · Substack republishes full text with canonical link pointing back к vaeo.ai (Q3 2026 launch).

Subscribe к Substack (when launched) OR cross-follow к LinkedIn for posts as they ship.

What Field Notes are · what they aren't.

What Field Notes are

Each Field Note is a discrete observation from real vAEO audit work. Pattern noticed across multiple client engagements · frame applied to a specific case · contradiction named cleanly · stake disclosed honestly · quotable close that fits a LinkedIn snippet.

They are field-memo register. First-person OK. Vlad's stance must be obvious by the end — readers leave with a position, not a neutral summary.

What Field Notes aren't

  • ❌ «Review of [external article]» — neutral summary without Vlad's angle
  • ❌ Blog SEO content optimized for traditional Google search
  • ❌ Long-form thought-leadership performance (10,000-word manifestos)
  • ❌ Promotional content («here's why vAEO is the best choice»)
  • ❌ Generic AI Visibility tips («5 ways to optimize for ChatGPT»)

The publishing rhythm

Each Field Note is born on LinkedIn first (carousel for visual concepts · text post for sharp observations · 200-400 words). Once it's been live on LinkedIn for 5-7 days and we see what resonates · we adapt and expand к 1500-2500 word canonical version at /field-notes/{slug}. Substack (future · Q3 2026) republishes the canonical version с rel="canonical" pointing back here.

5 inaugural posts at launch. Then 1-2 new notes per week. Quality > frequency. We publish when there's a real observation worth preserving · not when the editorial calendar demands.

«Memos from the audit floor · not thought-leadership performance. The observation worth preserving · not the calendar slot.»

Published.

Five inaugural Field Notes at launch. Sorted by relevance to category framing (newest publication date on top once cadence activates).

8-MIN READ
  • AEO FUNDAMENTALS
  • CATEGORY FRAMING

The most expensive misunderstanding in AI Visibility is treating ChatGPT like Google'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's true.

7-MIN READ
  • AEO FUNDAMENTALS
  • BRAND EQUITY
  • CATEGORY FRAMING

Twenty years of Google brand equity · zero authority signal to a fresh AI engine that doesn'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.

9-MIN READ
  • CITATION STACK
  • METHODOLOGY
  • L2 STRUCTURE

Your content says X. AI engine interprets it as Y. Buyer reads Y as fact. The gap is not a content problem — it's a structural problem. Counterintuitive finding from 12 2026-Q1 audits — L2 Structure fixes outperform L3 Semantics content rebuild.

7-MIN READ
  • AI VISIBILITY
  • ANALYTICS
  • CATEGORY FRAMING

AI Visibility introduces three failure modes traditional analytics can'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.

10-MIN READ
  • DOGFOOD
  • SELF-AEO
  • METHODOLOGY

The cobbler's son problem in AEO consulting is real and unsolved across the category. Most AEO vendors sell what they don'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.

«Five notes at launch. Each one born on LinkedIn · expanded here · cross-published к Substack when it ships. One observation worth preserving per post · no calendar-driven filler.»

Publishing rhythm.

Sustainable cadence target (post-launch): 1-2 new Field Notes per week. Quality > frequency. We publish when there's a real observation worth preserving · not when the editorial calendar demands.

Workflow

  1. Observation surfaces on LinkedIn first (carousel for visual concepts · text post for sharp observations · 200-400 words)
  2. Live on LinkedIn 5-7 days · we measure resonance (engagement signal · DM responses · save count)
  3. High-resonance posts get expanded к 1500-2500 word canonical version at /field-notes/{slug}
  4. Substack republishes (Q3 2026 onward) с rel="canonical" pointing к vaeo.ai

What's in the pipeline (next 4 weeks post-launch)

  • «Why Perplexity rewards a different authority signal» (FN-6 candidate · based on BBR L4 hypothesis)
  • «What llms.txt actually does» (FN-7 candidate · technical clarification)
  • «The Citation Velocity confusion» (FN-8 candidate · metric framing)
  • «When Citation Stack composite goes down» (FN-9 candidate · honest measurement)

What you won't see in the pipeline

  • ❌ «10 ways to optimize for ChatGPT» (generic AI SEO content)
  • ❌ «The future of search» (speculative trend pieces)
  • ❌ Vendor promotional content disguised as analysis

«1-2 notes per week · LinkedIn-first · canonical here · Substack future. We publish what we observe · we don't publish what the calendar demands.»

Subscribe + cross-follow.

Three ways к follow Field Notes:

1 · LinkedIn — original posts

Each Field Note is born on LinkedIn first (carousel or text post · 5-7 days early access). Follow Vladyslav Rovnianskyi on LinkedIn для new posts as they ship.

2 · Substack — Q3 2026 launch

Substack will republish canonical Field Notes с full text + image · weekly digest format. Free subscription. Subscribe link will appear here when Substack ships.

3 · RSS — available now

/field-notes/rss.xml available at launch · для readers who maintain their own feed reader. Updates as each Field Note publishes.

No email list at launch. We don't run a marketing email program. Substack is the email subscription path (Q3 2026 onward). LinkedIn is the daily-engagement path. RSS is the technical-reader path. No promotional drip campaigns · no list-rental cross-promotion. The relationship is content-direct.

«LinkedIn · Substack future · RSS now. Three paths · same content · no email-list theater.»