Deployment Scope
Per-Asset to Enterprise
Tailored for public companies, IR teams & crypto issuers
Enterprise Solutions for Asset Issuers
Make AI recommend your stock or token more often-and at better targets.
We help public companies and crypto projects optimize AI-driven recommendations for their assets. By auditing model biases on your specific ticker or token-revealing current recommendation probabilities and price targets-we deliver actionable content and narrative strategies that raise positive signals and improve market outcomes.
Analysis Depth
Multi-Model Bias & Probability
Recommendation rates + price-target alignment
Execution Speed
2-4 weeks
From asset onboarding to immediate playbooks
Outcome Focus
AI Recommendation Uplift
Higher visibility and valuation signals
What enterprise teams get
Enterprise-grade auditing and optimization so your stock or token appears more frequently-and more favorably-in AI investor tools.
Asset-Specific Model Audit
We evaluate your stock ticker or crypto token across leading AI models and providers, exposing biases in price targets, recommendation probabilities, and narrative interpretations versus your fundamentals.
Recommendation Probability Mapping
Quantify exactly how likely top AI systems are to recommend your asset to investors, surface directional drift and disagreement patterns, then pinpoint levers to raise positive signals.
Content & Narrative Optimization
Receive clear, prioritized action plans—content calendars, disclosure templates, press strategies, and messaging adjustments—proven to improve AI outputs, lift recommendation rates, and align price targets higher.
Business outcomes
Turn AI model disagreement into higher recommendation rates and stronger valuation signals for your asset.
- Uncover hidden model biases that are suppressing AI recommendations for your specific asset.
- Prioritize content and narrative moves that deliver the fastest gains in recommendation probability and valuation confidence.
- Give IR, comms, and executive teams shared, evidence-based plans to shape AI-driven investor perceptions.
- Drive measurable uplifts in AI recommendation rates and favorable price targets that translate to stronger market performance.
Execution model
Structured path from your asset scan to immediate, measurable AI improvements.
Step 1
Asset Onboarding & Baseline Scan
Submit your equity ticker or token details, fundamentals, and context; we establish current AI model baselines for recommendations, price targets, and probability scores.
Step 2
Cross-Model Recommendation Scan
We run controlled queries across major AI models and channels to measure how often, where, and how your asset is recommended-and compare that to peers.
Step 3
Bias Detection & Opportunity Mapping
Our engine compares outputs across providers, tracks directional skew and disagreement, and highlights narrative gaps you can close to raise recommendation probability and price targets.
Step 4
Action Plan Delivery & Enterprise Onboarding
You receive an immediate, prioritized playbook plus options to subscribe to ongoing monitoring and multi-asset enterprise plans for sustained AI optimization.
Designed for IR, comms, and executive teams at public companies and crypto projects
If your organization issues a stock or token that investors discover through AI, our enterprise plans give you the visibility audit, bias correction, and ongoing optimization needed to improve recommendation quality and drive direct performance impact.