Shadow
Plug into the real world
Shadow lets organizations and AI agents perceive the real world they act in
The AI answers you run your business on should be grounded in reality.
Standard AI answers are an assembly of 4 to 14 web pages.
Shadow grounds its responses in thousands of signals across social activity, media coverage, search behavior, and AI answers.
Orientation
Ground your work
Monitoring
Stay in tune
Measurement
Understand outcomes
Applications
Communications and PR
- AI visibility
- Media monitoring
- Social listening
- Message pull-through analysis
- Sentiment analysis
- White space analysis
Brand and marketing
- Category association mapping
- Audience needs and language research
- Brand trust and attention tracking
- Competitive ownership analysis
- Campaign reception analysis
- Search and AI discoverability audits
Product and go-to-market
- Problem recognition research
- Buyer language analysis
- Alternatives and expectations mapping
- Launch proof-point planning
- Launch reception tracking
- Category positioning analysis
Strategy and competitive intelligence
- Competitor position tracking
- Market movement monitoring
- Source influence mapping
- Emerging issue detection
- Contested territory analysis
- Scenario and change briefings
Executive and leadership teams
- Stakeholder attention briefings
- Belief and trust tracking
- Risk and opportunity alerts
- Decision grounding reports
- Executive narrative tracking
- Evidence inspection
AI agents
- MCP access to the World Model
- Grounded context before acting
- Persistent external memory
- Change notifications
- Evidence and explanation on request
- Correction and feedback loop
Using Shadow
Chat
Ask a question or specify a goal and receive a solution grounded in the real world
Monitors
Define what you want to monitor and get reports delivered to your preferred destination
Agents
Connect Shadow’s MCP to Claude or another compatible agent so it can consult the world model independently while working
Questions you can answer
Orientation & situational awareness
- What is happening around us right now?
- What changed since the last time we looked?
- Which changes deserve attention?
- What is gaining or losing momentum?
- What event or source best explains the latest shift?
- What are we missing because we are focused on the wrong signals?
Brand perception & audience understanding
- How do our priority audiences understand us?
- What are CIOs, developers, customers, investors, or policymakers paying attention to?
- What do they believe about us, our category, and the alternatives?
- What do they want that current options do not provide?
- What questions are people searching for?
- Where do audience beliefs differ from the facts we think are obvious?
- Which objections, expectations, or unmet needs are shaping their choices?
- How are sentiment and trust changing by audience?
Messaging and positioning
- What are we currently known for?
- Which claims can we credibly own?
- Where is there meaningful white space?
- Which problem, need, or change should we lead with?
- How should we describe this product in language the audience already understands?
- Which category language should we use, redefine, or avoid?
- Which messages should be primary, and which should support them?
- What proof does each claim require?
- How should the message change across audiences and channels?
Narrative & category intelligence
- Which sources are shaping the current understanding?
- What are competitors teaching the market to believe?
- How do competitors define the category?
- How did this narrative spread?
- Which narratives account for the largest share of attention?
- How do AI systems answer questions about us and the category?
- Where are we absent, misrepresented, or weakly supported?
Competition and influence
- Which competitor position is strengthening fastest?
- Which positions are already occupied?
- Who influences the audiences that matter?
- Which journalists, publications, creators, and communities carry authority here?
- Which companies and sources own the relevant search results?
- Which signals are independent, and which are echoes of the same source?
Launches and strategic choices
- What should we understand before this launch?
- Which audience is ready, resistant, or poorly understood?
- What position can we credibly establish?
- What evidence is missing from the claim we want to make?
- Which risks could change how the launch is interpreted?
- What is possible now that was not possible before?
- What should we investigate before choosing a strategy?
Work impact, measurement, and learning
- Did the audience receive the message we intended to send?
- How did different audiences interpret this announcement?
- What is our estimated reach across media, social, search, and AI?
- Which priority audiences are we failing to reach?
- How is sentiment changing overall and by audience?
- How does our share of voice compare with competitors?
- Which messages achieve the strongest pull-through?
- How is our AI visibility changing?
- How did this campaign affect reach, sentiment, trust, message pull-through, and visibility?
- What evidence best explains each change?