5,000+four-turn sequences · 118 brands · 4 AI platforms
Live Revenue Signal
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AI should be sending—
AI is actually sending—
Decision-stage opportunity—
Total AI Revenue Gap—
The Problem
Your brand appears in AI responses. Then it disappears.
Traditional AI monitoring tools tell you whether your brand is mentioned. AIVO Edge reveals what happens next.
In competitive categories, AI systems don't just list options — they compare, narrow, and resolve. By the third or fourth turn of a conversation, most brands have been eliminated. The consumer never sees them in the final recommendation.
We call this the Conversational Survival Rate — the percentage of AI conversations where your brand survives from first mention to final recommendation. For most brands we assess, it's between 0% and 10% survival rate.
If your survival rate is 5% — a common baseline we observe — you are effectively invisible in 95% of AI-mediated purchase decisions.
$10M Brand
$9.5M
competitive exposure
$25M Brand
$24M
competitive exposure
$50M Brand
$47M
competitive exposure
This isn't theoretical. It's measurable competitive displacement happening right now.
Featured In
FORTUNE
ADAGE
BUSINESS INSIDER
AMERICAN BANKER
AIVO Edge assessments have been completed across competitive categories including premium consumer brands, CPG portfolios, mid-market category leaders, and Fortune 500 consumer divisions.
Not another dashboard. Analyst-led research with diagnostic-grade evidence.
Most AI visibility tools are automated monitoring platforms — they poll AI systems at scale and report frequency metrics. They tell you how often your brand is mentioned. They can't tell you why you're being eliminated or what to do about it.
AIVO Edge is fundamentally different. We are analysts and researchers, not a software platform.
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Human-Led Research
We conduct 20 live four-turn conversations per brand — 5 runs across each of 4 AI platforms, distributed across different temporal windows to capture variation over time. Our analysts observe each conversation in real-time, classifying brand state, sentiment shifts, competitive substitution triggers, and behavioral patterns at every turn. This is not automated scraping. It's forensic, human-in-the-loop investigation.
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Diagnostic Console
Our findings are presented through an interactive diagnostic console — not a generic dashboard. Every metric traces back to specific, timestamped evidence. You don't just see a score; you see exactly which platforms eliminated you, at which conversational turn, and who replaced you. The console is the lens through which you interrogate the findings.
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Evidence Vault & Audit Trail
Every assessment produces a structured evidence pack: 20 raw conversation transcripts, 4 model-level mini reports, a cross-model comparison, and a detailed master analysis. All timestamped, all traceable, all stored in a secure evidence vault. This is audit-grade documentation — not a PDF summary.
Methodology
Structured four-turn testing across four AI platforms
AI systems resolve purchase decisions through a consistent sequence. We test this systematically.
Turn 0
Awareness
The consumer asks a broad question. AI lists relevant brands. Most brands are present at this stage.
P — Primary
Turn 1
Comparison
The consumer asks a follow-up. AI begins comparing. Your brand starts to weaken — still mentioned, but deprioritized.
W — Weakened
Turn 2
Optimization
The consumer narrows further. AI weights attributes and selects. This is where most brands are eliminated — not criticised, just no longer optimal.
R — Replaced
Turn 3
Recommendation
The consumer asks for a final answer. AI presents one or two brands with confidence. If your brand isn't here, the consumer never sees you.
✕ — Not Selected
We classify your brand's state at each turn: Primary (P), Weakened (W), Omitted (O), or Replaced (R). This taxonomy is consistent across every assessment, enabling precise comparison over time.
20 Live Conversations
Per assessment
4 AI Platforms
ChatGPT · Gemini · Perplexity · Grok
5 Temporal Windows
Per platform
80 Turns Analysed
Per assessment cycle
Human Analyst Coding
Sentiment · Behavior · Patterns
100% Evidence-Linked
Every claim traceable
See the Product
Explore a live diagnostic console
This is a real AIVO Edge diagnostic console for a leading anti-ageing skincare brand. Every data point is from live, structured testing across ChatGPT, Gemini, Perplexity, and Grok.
Click through the four tabs — Overview, Platform Detail, Competitor Analysis, and Remediation.
app.aivoedge.com/console/demo-brand/snapshot
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Every metric in this console traces back to timestamped raw data stored in a secure evidence vault. Nothing is inferred, estimated, or modeled. This is observed AI behavior, documented and reproducible.
A single assessment tells you where you stand. Ongoing monitoring tells you whether you're improving — and proves which interventions are working.
This console shows three months of assessment data, tracking CSR trajectory, platform response, competitor shifts, and remediation impact.
app.aivoedge.com/console/demo-brand/monitoring
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Ongoing monitoring clients receive updated assessments monthly or quarterly, with each cycle adding to the temporal record. Trend charts, platform tracking, and remediation impact measurement accumulate over time.
Every AIVO Edge assessment produces a structured evidence pack organized in five layers — from raw conversation transcripts through to the diagnostic console. Each layer builds on the one below it, creating a complete chain of custody from observed AI behavior to strategic recommendation.
This is the level of documentation typically associated with regulatory submissions and forensic audits. We believe competitive intelligence should meet the same standard.
A global mass-premium brand was being systematically eliminated from AI recommendations across all four platforms. Their Conversational Survival Rate was 0%. Across 20 controlled runs, they were never the final recommendation. Not once.
The Challenge
100% presence at Turn 0 — but universally displaced at Turn 2. A single competitor captured 40% of all replacement decisions. The failure wasn't awareness — it was decision-stage positioning.
The Intervention
Two targeted narrative adjustments — repositioning key attributes and strengthening decision-stage claims. No engineering changes. No paid media. No website redesign. Structural narrative improvement.
Start with one brand. One category. One assessment.
Most clients begin with a single brand assessment to establish their competitive baseline. From there, we build a monitoring program that tracks trajectory and measures remediation impact over time.
Initial Assessment
7-Day Structured Survival Test
Single brand, single category
✓ Full diagnostic console (4-tab interactive diagnostic console)
✓ Competitive substitution analysis
✓ Elimination point mapping across 4 AI platforms
✓ Strategic remediation roadmap with prioritized recommendations
✓ Complete evidence vault (20 raw transcripts + analysis reports)
Ongoing Intelligence
Temporal Monitoring
Track trajectory and measure remediation impact
✓ Temporal monitoring console with trend charts
✓ Platform-by-platform tracking
✓ Competitive displacement shift analysis
✓ Remediation impact measurement (linking interventions to outcomes)
✓ Updated evidence vault per cycle
Use Cases
How clients use AIVO Edge
Competitive BriefingsQuarterly reports for leadership teams
Launch ValidationTest product positioning before market launch
Repositioning DiagnosticsValidate brand strategy changes in AI context
Agency EvaluationIs your agency's work improving AI outcomes?
Portfolio Health ReviewsMulti-brand competitive health assessment
M&A Due DiligenceCompetitive positioning intelligence for acquisitions
Free Assessment
Get your brand's Survival Rate Assessment
Find out whether your brand survives to the final AI recommendation — or gets eliminated before the consumer ever sees you. We'll run a rapid diagnostic across two AI platforms and send you a summary within 48 hours.
Tim co-founded AIVO Standard following extensive work in competitive intelligence and brand strategy. His research focuses on how multi-turn AI decision mechanics reshape competitive positioning before traditional analytics capture buyer intent. Featured in Fortune, AdAge, and Business Insider.
Paul Sheals
Co-Founder, AIVO Standard™
Paul co-founded AIVO Standard with a focus on structured decision testing, cross-platform variance analysis, and reproducibility of AI-mediated competitive outcomes. He developed the methodology underpinning AIVO Edge's four-turn controlled substitution testing framework.
Frequently Asked Questions
How is this different from SEO?+
SEO optimizes for search engine visibility and traffic. AIVO Edge measures whether your brand survives to the final recommendation inside conversational AI platforms like ChatGPT and Gemini. These are different channels requiring different strategies — but increasingly, AI recommendations happen before the consumer ever reaches a search engine.
How is this different from AI visibility tools like Profound or Peec?+
Automated monitoring platforms poll AI systems at scale and report mention frequency. AIVO Edge is analyst-led research — we conduct structured, multi-turn testing with human interpretation at every stage. We don't tell you how often you appear; we tell you why you're being eliminated and what to do about it. The diagnostic console, evidence vault, and temporal monitoring are how you interrogate and track our findings — they're not the product. The research is the product.
What resources are required to implement recommendations?+
Most strategic actions sit with Brand, Content, or Product Marketing teams. We're adjusting how your brand's story is told, not rebuilding your tech stack. Engineering involvement is typically minimal or zero.
How quickly can we see improvement?+
Most brands observe measurable survival improvement within 60–90 days following strategic adjustments. Our temporal monitoring captures these shifts precisely, linking specific interventions to observed metric changes.
How stable are AI recommendations?+
More stable than most people expect. Our structured testing reveals consistent elimination patterns across repeated runs. This is the core finding — displacement isn't random, it's systematic and reproducible. That's also what makes it fixable.
Your competitors may already be measuring.
AI recommendation positioning compounds. Brands that establish strong decision-stage positioning now will be harder to displace as AI systems reinforce their own patterns. Every quarter without measurement allows competitive gaps to widen.