Practice
AI Discovery is a measurement problem before it is a marketing problem.
Your buyers now form shortlists inside AI answers. Whether you appear is determined by what these systems can retrieve, resolve and verify about you — none of which shows up in a rank report or an analytics dashboard.
What determines the answer
Six observable factors.
We cannot see inside these systems. We can measure the conditions that consistently separate vendors that appear from vendors that do not.
Retrievability
Whether your material can be reached, parsed and attributed at all.
Entity clarity
Whether a system can resolve who you are, what you sell, and to whom, without ambiguity.
Source presence
Whether the third-party sources these systems draw on describe you at all.
Factual consistency
Whether your facts agree with each other across every place they appear.
Evidence density
Whether specific, checkable claims exist to support a recommendation.
Competitive share
Which vendors currently occupy the answer, and on what basis.
The instrument
What the measurement looks like.
Dgenius Discovery Matrix
Demonstration data| Buyer question | ChatGPT | Gemini | Perplexity | AI Search |
|---|---|---|---|---|
| Best enterprise identity-security platforms for a 1,000-person companyShortlist formation | ||||
| How does <vendor> compare with the market leader?Direct comparison | ||||
| What does enterprise identity security typically cost?Budget qualification | ||||
| Which platform integrates best with an existing IdP?Technical fit | ||||
| Which vendors satisfy SOC 2 and ISO 27001 evidence requirements?Risk / procurement | ||||
| How hard is migrating off a legacy identity provider?Switching cost |
Select a cell to inspect the prompt, intent, model, observation time, observed state, source and competitor behind it.
Engagements
Measure first. Then engineer.
Every engagement begins with the AI Discovery Diagnostic at $6,500 fixed.
- 01
AI Discovery Diagnostic
This engagementMeasure + diagnose + prioritize
- — Intent mapping and prompt families
- — Cross-model observations
- — Competitor and citation analysis
- — Prioritized roadmap and executive briefing
$6,500 fixed · 10–14 days
- 02
AI Discovery Revenue Sprint
Implement the highest-value changes
- — Technical changes
- — Content and entity architecture
- — Structured information and analytics
- — Source strategy and experimentation
Typically $20K–$30K
- 03
AI Discovery Intelligence
Continuously measure + improve
- — Longitudinal monitoring and testing
- — Competitor and source intelligence
- — Ongoing interventions
- — Attribution and reporting
Typically $8K–$15K / month
- 04
AI Revenue Transformation
Fix the larger digital, data and AI systems discovery exposes
- — Websites and product engineering
- — Data, analytics and CRM
- — AI agents and knowledge systems
- — Conversion infrastructure
Typically $100K–$500K+