AI Advisory & Governance
Adopting and Governing AI responsibly and strategically.
- AI Governance Frameworks
- Internal Adoption Roadmaps
- Executive & Team Training
AI + Reputation Management
Understanding and Influencing how AI is reshaping reputation and trust.
- GenAI Reputation Audit
- AI Risk & Readiness Assessment
- AI+ Reputation Index
- AI Narrative Development
Agentic Execution & Integration
Designing and deploying agentic AI to test, scale, and deliver new influence strategies.
- Synthetic Message Testing
- Synthetic Audience Design
- Agent Design
- Scenario Simulations
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1. Define What Matters
Align on the key narratives, competitors, stakeholder perceptions and priority LLMs you want to understand and influence.
2. Interrogate the Platforms
Generate a series of questions based on the methodology to feed directly into the LLMs. These questions are designed to mimic real-world queries by different stakeholder groups.
3. Diagnose the Drivers
Analyze responses for sentiment, message alignment, storylines, and driver sources including: owned media (e.g. company websites), earned media (e.g. top tier, trade), and user generated sites (e.g. Reddit, Wikipedia, etc.).
4. Recommended Actions
A comparison of who’s winning in terms of content visibility, messaging and concrete recommendations for actions to strengthen your ability to influence LLM outputs.