Products get copied faster than ever. Brand is what remains.
Modern CMOs use brand tracking to guide media spend.
Buyers want surveys, social, and AI search visibility in one place.
80% of current customers
Switching from Kantar and Ipsos.
Strategic depth in days, not quarters
Global reach and cultural shifts
Combine proven methods with emerging signals
Proven demand. Large enterprise deals.
Entering via verticals
First time buyer via Beauty Signal and similar.
Data that informs buying decisions
Why you need to ask real people
Ready to go beyond dashboards
Massive untapped market.
Three years of work. This is what makes us different.
We pre-collect data across verticals with an innovative, cost efficient methodology. We own and structure all data ourselves.
Insights from day one. 10x lower cost.
Tracking, positioning, segmentation, and campaign measurement. All in one platform, built on the same data layer.
One platform, not three projects.
Ask questions, explore trends, get strategic recommendations. Powered by our proprietary data infrastructure.
Depth that no one else can offer.
Basic awareness only. No positioning or segmentation.
Strategic depth like Kantar, at SaaS speed and pricing.
Traditional tracker
Few brands measured.
Odyssey
Complete landscape.
From finding to action
Finding:
"Brand consideration dropped 4pp in the 25–34 segment since Q3."
Recommended actions:
1. Shift 20% of TV budget to Instagram.
2. Lead with sustainability messaging.
3. Target the "Health-conscious" sub-segment.
Survey data tells you what people think. AI visibility tells you where brands are going. Together, they unlock something new.
The foundation
Deep understanding of perception, consideration, and purchase drivers.
This is where Odyssey excels today.
The new layer
How brands appear in LLM answers. A forward-looking indicator of brand salience.
Nearly complete at Odyssey.
The combination
Only Odyssey is building both on the same data layer.
From perception to what drives it.
Appendix
We collect data continuously across entire categories rather than for individual clients. This achieves 10x lower cost per insight while maintaining research-grade quality standards.
Unlike traditional panel providers, Odyssey owns all collected data outright. This enables cross-client analysis, AI model training, and instant onboarding for new customers.
All data is stored in a standardized, normalized schema across categories and markets. Our architecture enables querying across the entire dataset and powers the conversational AI layer.
Data is collected proactively across verticals like Beauty, Energy, and FMCG. When a new customer signs up, historical data is already available. Insights from day one.
Representative consumer panels with demographic quotas. Survey design based on established brand equity frameworks. Continuous data quality monitoring with automated outlier detection.
Always-on data collection with configurable frequency per market and category. Standard cadence is monthly for core metrics, with burst capacity for campaign measurement windows.
Traditional providers (Kantar, Ipsos)
Each engagement is a separate research project. Typical timeline 3–6 months for baseline data.
Data access through scheduled reports. Limited self-service capability. Strategic recommendations require additional consulting.
Client receives reports but underlying data remains with the research company. No AI features possible without data access.
Budget trackers (Latana, Tracksuit)
Focus on top-of-funnel metrics. No positioning analysis, segmentation, or strategic depth.
Typically 3–5 competitors tracked. Missing most category drivers and market dynamics.
Numbers without interpretation. No strategic recommendations or action guidance.
LLMs are becoming how people discover, evaluate, and choose brands.
How often your brand appears in AI answers across ChatGPT, Gemini, Perplexity, Claude.
What themes AI associates with your brand.
How AI describes your brand. Early warning for risks.
Emerging topics and market shifts.
The connection
Brand Perception
What consumers think
AI Representation
How AI describes brands
Market Narratives
How categories evolve
Identifies gaps between intended positioning and how AI represents brands.
Brand tracking, positioning analysis, and segmentation delivered as one product on a shared data layer. No separate projects required.
10–15 most important competitors mapped. Both emotional associations and rational purchase drivers measured. Sufficient depth to identify blue oceans.
AI-powered interface for exploring data in natural language. Strategic recommendations generated from underlying data.
Core tracking extended with campaign measurement, media optimization, and targeting modules.
Pre/post analysis of campaign impact on brand perception and purchase intent. Connects awareness lift to actual consideration shifts.
Identifies which channels and content resonate with target segments. Recommends budget allocation based on where audiences over-index.