AI VISIBILITY · VERIFIABLE · EST. 2026
You can rank #1 on Google and still be invisible in AI search.
Most brands have no idea how ChatGPT, Perplexity, Gemini and Google AI Overviews describe them — and whether they're mentioned at all. We do.
ANSWER · AEO-EXTRACTABLE
vAEO turns AI visibility from a vague black box into a verifiable audit. We show how AI engines see, cite, ignore, or misrepresent your brand — and what to fix.
AI engines like ChatGPT, Perplexity, Gemini, Google AI Overviews, and Claude now answer buyer questions directly. They cite five to ten sources per answer. The rest of the web is invisible. Brands that rank #1 on Google can be cited nowhere in the AI answer — and most don't know it's happening.
vAEO is a Strategic Diagnostician for AI Visibility. Founded by Vladyslav Rovnianskyi (Barcelona), we help brands and agencies measure, fix, and defend how AI systems represent their brand. Our methodology synthesizes five industry frameworks — SWIM (Seer), MERIT (Searchbloom), GEO (Princeton), DEPT (iPullRank), and FLIP — into a 4-layer Citation Stack: Access · Structure · Semantics · Authority.
Audit ladder — $250 Quick Check · $500 Full Snapshot · $750 Emergency. Fix line — $1,000 Foundation · $1,800 Trust Shield · $2,800 Citation Engine. Authority work — $5,000–$12,000 monthly monitoring + correction retainers. Agency partnerships — open wholesale pricing · Frozen-9 ICP · white-label kit.
Every claim is evidence-backed. Every promise is verifiable. We name the boundary — and work below it. Based in Barcelona · English-speaking worldwide · Ukrainian-speaking secondary.
«Search didn't disappear. It changed shape. Most brands are still optimizing for the shape that's leaving.»
AI Visibility is not a black box. It's an audit.
When Google was the front door, SEO was the discipline. Now AI engines are the front door for a growing share of buyer questions — and they don't work like Google. They don't rank a list. They synthesize an answer and cite a few sources.
Optimizing for that mechanism is not «AI SEO.» It's a different discipline. We call it AEO — Answer Engine Optimization. Or, more precisely: Verifiable AI Visibility.
Every AI Visibility problem reduces to one of four layers in the Citation Stack:
- Access (L1) — Can the AI even read your site? robots.txt allowlist · SSR rendering · llms.txt manifest · sitemap freshness.
- Structure (L2) — Can it understand your entity graph? Schema.org JSON-LD · semantic HTML · canonical URLs · breadcrumb hierarchy.
- Semantics (L3) — Can it extract a clean answer? Answer Capsules · content sandwich pattern · ≥1500-word depth · statistics with sources · expert quotes.
- Authority (L4) — Does it trust you enough to cite you? Cross-engine probing · sameAs entity reinforcement · external authoritative source links · Wikipedia presence (where applicable).
Princeton's Generative Engine Optimization paper (Aggarwal et al., 2024 · arXiv:2311.09735) measures what works: adding statistics raises citation rate by 40-41%, adding quotations by 38-40%, citing sources by 30%. Keyword stuffing — penalized: -10%.
«AI doesn't endorse your brand. It selects sources. We make you selectable.»
Three losses Google Analytics doesn't show you.
1. Invisibility.
Your brand gets mentioned in zero AI answers for queries you should win. ChatGPT names three competitors. You're absent. There's no SERP to check, no ranking to track, no analytics event to log. Buyers are deciding · you don't show up in the deciding.
In our audits, we routinely observe brands ranking top-3 on Google receive zero AI citations for the same intent queries. The mechanisms diverge.
2. Misrepresentation.
AI engines describe your brand wrong. They confuse you with a competitor. They quote outdated pricing. They invent product features you don't have. They claim partnerships you never had. The buyer reads it as fact.
This is the most expensive failure mode for regulated categories — finance, healthcare, legal — where a wrong AI claim is a liability event waiting for a lawsuit.
3. Substitution.
AI engines name your competitor when the buyer asked about your category. Your competitor sits inside the answer. You sit inside the «10 blue links» the buyer never visited.
In our cross-engine probing for the Barcelona Boat Rental case: the client's brand was named in 19% of relevant queries · the dominant competitor in 44%. None of this surfaced in their Google Analytics.
Three reference points buyers feel before AI Visibility becomes a board agenda item:
- Click-through rate on AI Overview queries: -61% vs. classical SERP (Seer Interactive, 2024)
- Share of Google searches now triggering AI Overviews: ~25% (Conductor State of Organic Search, 2025)
- Weekly ChatGPT users: 900M (OpenAI, Q3 2024)
«Your Google rank measured the page. AI Visibility measures the answer. Different surface. Different stakes.»
One methodology · five frameworks · five engines.
vAEO methodology is a 4-layer Citation Stack synthesized from the strongest published work in the AEO/GEO category:
- SWIM (Seer Interactive) — Search Without Index Model · how AI engines select sources
- MERIT (Searchbloom) — entity-graph reinforcement framework
- GEO (Princeton · Aggarwal et al. 2024) — research-grade measurement of what changes citation rate
- DEPT (iPullRank) — content sandwich pattern · 377-word RAG chunk optimization
- FLIP (proprietary protocol derived from Seer FLIP research) — Fresh · Local · In-depth · Personalized triggers
We never hide that we stand on giants' shoulders. Attribution is competitive advantage · it signals seriousness, not weakness.
CITATION STACK · 4 LAYERS
- 01 Access tech
- 02 Structure format
- 03 Semantics intent
- 04 Authority trust
We probe five AI engines · not one: ChatGPT · Perplexity · Gemini · Google AI Overviews · Claude. Each engine selects sources differently. A brand strong in Perplexity can be invisible in Gemini. A claim valid in ChatGPT can be misrepresented in Claude.
Single-engine measurement is hallucination prevention theater. Multi-engine measurement is verifiability.
Every vAEO audit rests on three pillars: Deterministic (0-100 Citation Stack health score · reproducible) · Cross-model (5+ engines probed per audit) · Evidence-based (every finding linked to live AI-engine output · raw data preserved).
«If a vendor measures one engine and calls it AI Visibility, they're not measuring AI Visibility.»
What we promise — and what we don't.
AI engines are probabilistic. No vendor honestly guarantees outcomes inside them. Anyone who promises «top-1 in ChatGPT» is selling theater.
Here's what's deterministic — and what's not. We call it the Proof Ladder.
P1 — Diagnostic Proof deterministic · today
The audit shows you exactly what AI engines see · cite · ignore · misrepresent. Reproducible. Verifiable today. Backed by raw AI-engine output preserved in audit artifact.
P2 — Mechanical Fix Proof deterministic · today
Once you've engaged the Fix line, we deliver concrete mechanical changes — schema fixes · Answer Capsules · structure corrections · authority signal reinforcement. Each change is a verifiable artifact: before/after JSON-LD · before/after schema validation · before/after content audit. Today, deterministic.
P3 — AI-output Proof probabilistic · 30/60/90 days
After fix, we re-probe the 5 engines on 30/60/90-day cycles. Share of Model · Citation Velocity · cross-engine consistency. Probabilistic — AI engines can shift weights without notice. We measure · we don't guarantee.
P4 — Business Outcome Proof downstream · NOT promised
Did AI Visibility improvement convert to revenue? Pipeline? Brand lift? Attribution between AI Visibility and downstream business outcome is currently unsolved by any vendor. We can show you correlation in retainer reporting. We will not promise causation.
«We name the boundary · and we work below it. P1 and P2 are today. P3 is probabilistic. P4 we don't sell.»
We've measured ourselves before we sold this to anyone.
CASE 1 · BARCELONA BOAT RENTAL
Barcelona Boat Rental — Mediterranean tourism rental brand · 5 years organic-search history · top-3 Google rankings on commercial queries.
Pre-audit measurement (2026-04-23 · cross-engine probe · 20 commercial queries · 5 engines):
- BBR Share of Model: 19%
- Dominant competitor (Click&Boat) Share of Model: 44%
- BBR cited zero times in Perplexity for top 4 commercial queries
- Gemini consistently misclassified BBR's category (charter vs rental)
Fix cycle in flight — Citation Stack L1+L2 already delivered. L3 cycle (Semantics — Answer Capsules + content sandwich + statistics integration) measurement pass scheduled Q3 2026. What this case demonstrates: L1 + L2 mechanical fixes deliver Citation Stack score improvement deterministically. L3 measurement happens on probabilistic cycle (per Proof Ladder P3 · 30/60/90).
CASE 2 · vAEO APPLIED TO ITSELF (DOGFOOD)
We don't sell what we don't apply to ourselves. Before vaeo.ai launched, we ran the same 5-engine probe on our own site. We documented what AI engines saw — what they cited · what they ignored · what they misrepresented about vAEO.
The dogfood case is published live with baseline measurements + every Citation Stack 4-layer fix we made to our own pages. You can verify the methodology by inspecting the artifact.
Cobbler's son has shoes. Methodology proven against the methodology owner.
«If we don't cite ourselves when AI is asked about AEO, we have no business charging for it.»
Where you go next depends on what you already know.
PATH 1 · FOR BRANDS
Not sure where your brand stands in AI Visibility? Start with the $500 Full Snapshot — 5-day cross-engine audit · 20 queries probed · Citation Stack 4-layer health score · documented findings + prioritized fix recommendations.
Scope-locked · price-locked · deliverable-locked. Decision-ready audit artifact.
PATH 2 · FOR AGENCIES
Building this in-house? Slow · expensive · staffing-heavy. Sending clients to a competitor? You lose the account. Partner with vAEO — white-label kit · open wholesale pricing (50%/55%/60% margins · Starter $900 / Growth $2,500 / Anchor $5,000 monthly retainers) · Frozen-9 agency ICP · 18-month non-circumvention firewall.
Your client work · your brand on top · our methodology underneath.
PATH 3 · FOR FUTURE BUYERS
Want to understand the methodology before booking a call? Read Field Notes — Strategic Diagnostician memos from the audit floor. No marketing copy · just observed patterns.
«Three doors · same source of truth. Pick the one that matches your week.»
Recent field notes.
«AI engines rank · they don't recommend.»
The most expensive misunderstanding in AI Visibility: treating ChatGPT like Google's #1 result. Ranking lists order options. Recommendations select for a reader. AI engines do the second — and the optimization mechanics flip.
«AI doesn't inherit your brand recognition.»
Twenty years of brand equity in Google · 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 from SERP history.
«The interpretation gap.»
Your content says X. AI engine interprets it as Y. Buyer reads Y. The gap is not a content problem — it's a structural problem. The fix lives at L2 Structure of the Citation Stack, not at L3 Semantics.
One conversation. Then a decision.
AI Visibility is not a black box. It's an audit. We run it. You see the artifact. Then you decide whether to fix what we found · keep it on retainer · or walk away with the diagnostic.
No multi-round sales cycle · no demo gauntlet · no «discovery deck» you have to sit through. One conversation · one scoped engagement · one decision.
«vAEO turns AI visibility from a vague black box into a verifiable audit — showing how AI engines see, cite, ignore, or misrepresent your brand, and what to fix.»