Intelligence Platform
Four systems. One architecture. The information advantage.
Your attribution modelis probably wrong. Galileo fixes that.
Most attribution platforms apply generic models (last-click, linear, time-decay) that ignore the actual conversion patterns in your data. Galileo is built differently: it connects directly to your CRM or ERP, maintains a first-party database of real conversion records, and uses machine learning to assign fractional revenue credit across the full customer journey.
The result is attribution that reflects your business, not a vendor's default assumption. Named a Fortune Most Innovative Product. Qualified as expert-grade analysis in federal court.
- Five attribution models: Linear, First Touch, Last Touch, U-Shaped, Contains
- Seven analytics dashboards from descriptive to predictive
- Native CRM integrations: Slate, Epicor, Salesforce, HubSpot
- No walled-garden data, zero reliance on self-reported platform numbers
SEO is a financial asset. Compass proves it.
Compass was one of the first platforms to apply machine learning to decompose organic search ranking factors, built years before AI became a marketing buzzword. It tracks keyword opportunity, competitive SERP positioning, and content performance across the full organic surface, then converts every signal into revenue terms.
Not traffic. Not rankings. The dollar value of organic. If you can't explain your SEO investment in revenue terms, Compass changes that.
- Revenue-denominated keyword valuation, not impressions or clicks
- Competitive SERP gap analysis across full keyword universe
- Content performance scoring tied to organic revenue contribution
- Integrates with Galileo to close the attribution loop
Know who AI recommends. Know why. Know how to change it.
ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot now answer the questions that used to drive traffic to your website. Most organizations don't know whether they appear in those answers, whether the answers are accurate, or who their AI-visible competitors are.
The AEO Index makes all of that measurable. It tracks brand citation frequency, accuracy, and competitive AI share of voice across every major answer engine, giving you the first real benchmark for AI search visibility in your industry.
- Five AI platforms tracked simultaneously: ChatGPT, Gemini, Perplexity, Claude, Copilot
- Brand citation frequency, position power, and platform consistency scoring
- Competitive AI share of voice; see who AI recommends instead of you
- Industry benchmarks published across verticals
The diagnosticshould precede the investment.
QMA analyzes the competitive landscape across 20 dimensions before you commit capital to a market, category, or strategy. Search volume, competitive density, SOV gaps, AI citation rates, content authority, paid auction pressure, revenue potential: all quantified and ranked before a single dollar is spent.
The FLIR case study: 50.5% share of voice in one market. 0.0% in the adjacent one. QMA identified the difference before any investment was committed. That's the value of the diagnostic.
- 20-dimension analysis framework, quantified not qualitative
- Three phases: Assess the landscape, Analyze the gaps, Implement the strategy
- Revenue potential modeling before investment commitment
- Informs Galileo attribution targets and Compass content priorities
