Are you confident about how AI is framing your brand?
I show premium brands how AI systems frame them, then help them establish their authority before competitors lock them out of their own category.
The Question Every CMO Should Be Asking
When a consumer asks ChatGPT, Perplexity, or Claude: "What are the safest cars under $60K?" they don't get 20 options. They get 4-6 confident recommendations and reasons.
If your brand isn't on that list, you don't exist in that transaction.
AI systems are becoming the dominant layer between your brand and consumers. Yet most marketing leaders have zero visibility into:
How their brand is framed by AI systems when processing category queries
Why competitors consistently appear in AI recommendations while they're excluded
What signals AI agents prioritize when selecting brands (it's not what you think)
Whether their brand positioning translates into AI system confidence.
The brands winning in AI-mediated commerce aren't spending more on AI tools or content. They're strategizing and engineering existing assets and resources to make AI more confident in recommending them.
This isn't about prompt injection, SEO/AEO, or gaming the system. It's about structural brand strategy that creates credibility for risk-averse algorithms.
How I Help:
From Inadvertent Invisibility to Trusted Authority
I've developed a rigorous methodology that combines deep research and reverse-engineering to understand how AI systems process brand queries, structure responses, and select which brands to recommend. Then I help you build the strategic positioning and understanding for your brand to establish lasting visibility in AI.
What You Get:
A comprehensive assessment of how your brand appears across major AI systems (ChatGPT, Claude, Perplexity, Gemini) compared to competitors.
Deliverables:
Cross-system testing results showing where your brand appears (and doesn't)
Categorical framing analysis—how AI systems linguistically position your brand
Competitive pattern detection revealing preferential treatment signals
Source authority mapping identifying what drives AI recommendations
Strategic gap analysis with prioritized recommendations
Outcome:
Know exactly where you stand and what's at stake. Most brands discover they're losing consideration opportunities to competitors who've quietly established greater algorithmic credibility.
What You Get:
Authoritative brand positioning documentation optimized for the main sources AI Systems draw on to frame their prompt responses about your brand and category. It is a very robust AI-specific companion to your legacy brand guidelines.
What We Create:
Strategic positioning documents that encode your categorical authority
Optimized brand narratives for algorithmic processing
Governance frameworks ensuring consistent brand representation
Implementation roadmap for distribution across owned and earned channels
Outcome:
Instead of hoping AI systems "get it right," you provide them with the authoritative source material they need to position your brand accurately and favorably.
3. Continuous AI Authority
What You Get:
Ongoing strategic partnership to fortify and monitor your algorithmic visibility as AI commerce evolves.
The Four-Phase Methodology:
Phase 1 - Audit: Comprehensive baseline assessment across AI systems
Phase 2 - Foundation: Brand Ground Truth development and positioning optimization
Phase 3 - Infrastructure: Implementation across digital ecosystem and partner channels
Phase 4 - Governance: Monitoring protocols, quarterly monitoring, competitive intelligence
Outcome:
You don't just fix today's visibility gaps, you build the strategic capability to address them, to maintain your brand position as AI systems evolve.
Strategic Expertise Meets Technical Rigor
Bio
I don't help brands adopt more AI tools. I help them ensure their strategic positioning translates to confident consistent responses from AI Systems, so they're recommended, not commoditized.
With 20+ years building and scaling creative agencies for luxury, hospitality, and tech brands, I understand how premium brands maintain competitive positioning under market disruption.
Now I apply that strategic thinking to the most significant shift in commerce since mobile: AI-mediated transactions.
Publisher, Brand AI Report - Weekly analysis of brand positioning in AI systems for CXO audiences
Creator, Agentic Commerce Readiness methodology
Google-Certified Generative AI Leader
Former Faculty, Association of National Advertisers
Advisor to premium brands on algorithmic visibility and categorical positioning
Why This Matters Now
The Shift Is Already Happening:
Perplexity processes over 100M queries per month, delivering direct answers instead of link lists
OpenAI's SearchGPT integration means ChatGPT users skip Google entirely
Amazon is integrating AI shopping assistants that pre-filter product consideration sets
Google's AI Overviews are pushing traditional search results below the fold
For premium brands, the stakes are existential:
When AI systems mediate discovery, the brands that appear in responses capture attention and revenue. The brands that don't? They're invisible—regardless of quality, heritage, or marketing spend. This is not a content problem; it’s a question of strategy and architecture.
The window to establish algorithmic authority is closing. Once categorical hierarchies solidify in AI training data and system behaviors, repositioning becomes quite a bit harder.
