New York City | Paris
"All algorithm and no soul makes the enterprise a dull experience.
Dull for customers.”
Accenture 2025 "AI: A Declaration of Autonomy"
Agentic Commerce Strategy for Premium Brands
For decades, premium brands controlled their narrative through advertising, retail partnerships, and owned media. AI agents are changing that equation.
When consumers ask AI agents for product recommendations, those agents query external sources to validate claims—editorial sites, review platforms, knowledge graphs, expert validators.
We help you map which sources AI agents trust in your category—and take strategic control of your positioning within those sources.
The Sources of Brand Trust Are Changing.
Our Process
Phase 1: AUDIT* — Map which sources AI agents trust in your category (2 weeks)
Phase 2: FOUNDATION — Define your Brand Ground Truth (3-4 weeks)
Phase 3: INFRASTRUCTURE — Establish authority in the sources that matter (4-6 weeks)
Phase 4: GOVERNANCE — Monitor, adapt, and maintain control (Ongoing)
*Can be a stand-alone project
What We Provide
Source Intelligence
Map which external sources AI agents rely on in your category and your competitive position within them.
Brand Ground Truth
Define how AI agents should understand your brand. This authoritative document aligns internal teams and agencies around consistent, verified differentiation.
Strategic Direction
Clear priorities for which sources matter most and how to establish authority within them.
The Market Is Shifting
87% of AI agent browsing is product-focused. They're researching and building recommendations—learning which brands to trust in your category.
Brands that establish authority in the sources agents query now will shape recommendation patterns as agent-driven commerce scales. Traditional search volume is projected to fall 25% by 2026.
We Align Your Agencies
Your teams and agencies handle execution. We provide the strategic intelligence they need.
When SEO, PR, product, and digital teams work from different assumptions about which sources matter, AI agents see inconsistent signals and default to price comparison.
We map which sources AI trusts to evaluate your brand. Your agencies execute with clear priorities.
Assess Your Challenge - Take the assessment that matches your priority
Commoditization Risk Assessment
2 minutes, 7 questions to assess whether AI agents can verify your premium differentiation—or default to commodity comparisons. No email required.
1. Source Intelligence Awareness
Do you know which external sources (editorial sites, review platforms, knowledge graphs, expert validators) AI agents trust most when evaluating brands in your category?
2. Competitive Source Position
Can you document how your brand is represented in the external sources AI agents trust—compared to your top 3 competitors?
3. Brand Ground Truth Definition
Do you have a separate, authoritative document for AI agents to understand your brand—with facts, references, and claims your agencies and teams execute against?
4. Agency & Vendor Alignment
When your SEO agency, PR firm, product team, and digital agency describe what makes you premium, do they use consistent language and verified claims?
5. Editorial & Expert Validation
Have you identified which editorial publications, expert reviewers, and validators AI agents prioritize when researching your category—and optimized your presence in them?
6. Knowledge Graph & Structured Data Control
Do you know which structured sources (knowledge graphs, merchant centers, platform APIs) AI agents query for your brand data—and whether that data is accurate?
7. Agent Recommendation Monitoring
Are you tracking whether AI agents recommend your brand based on verified differentiation—or default to price/spec comparisons?
Your Commoditization Risk Assessment
OFFENSE: Commoditization Risk Assessment
Are you in control of how AI evaluates your brand?
DEFENSE: AI Governance Assessment
Assess your foundation for safe AI innovation internally.
AI Governance Assessment
2 minutes, 7 questions to assess your foundation for AI governance, brand alignment, and risk management. No email required.
1. Leadership Literacy
How confident is your Board in discussing AI strategy, risks, and opportunities with management?
2. Governance & Strategy
Do you have policies and processes ensuring AI innovation stays on-brand and protects your positioning?
3. Organizational Alignment
Are the leaders of your brand, technology, and business teams aligned on AI priorities and constraints?
4. Advisory Independence
Do you have access to objective AI expertise, independent of vendors promoting their solutions?
5. Vendor & Agency Requirements
Can you clearly communicate and monitor your brand's AI-specific requirements for agencies and vendors?
6. Stakeholder Communication
If a journalist asked your CEO about AI strategy, would the answer reflect your brand priorities and risk management?
7. Customer Transparency
When your brand uses AI in customer interactions, do customers know they're engaging with AI?
Your AI Governance Assessment
“The information in this workshop transcends different industries. Great for companies that are navigating major initiatives.”
“What an impact! Michael hosted an outstanding session... The feedback speaks for itself: 100% of attendees improved their understanding of the topic, with a 4.8/5 rating for content quality and speaker clarity.”
FAQ
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We map which external sources AI agents trust in your category, then create the Brand Ground Truth that aligns all your agency partners. They handle execution; we provide the intelligence that makes execution effective.
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SEO optimizes your website for human search. This addresses the external sources AI agents query to validate premium claims—editorial reviews, knowledge graphs, expert validators. When agents can't verify differentiation through trusted sources, they default to price comparison.
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Yes. Phase 1 provides source intelligence and competitive positioning. Most find it reveals strategic priorities that make Phases 2-3 essential rather than optional.
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Phases 1-3 establish strategy based on what we can observe. Phase 4 validates whether implementations are changing agent behavior and adapts as models update and competitive dynamics shift.