Measure the
True Impact
of AI Visibility
AI engines don't just find your brand — they recommend it. Or they don't. Our measurement framework quantifies your brand's presence across ChatGPT, Perplexity, Gemini, and AI Mode, then connects it to real revenue impact.
Four Layers of
AI Measurement
Our framework positions AI search visibility not as a technical SEO metric, but as a board-level brand investment category — one that can be quantified, causally validated, and directly compared to the ROAS of paid channels.
AI Share of Voice (ASoV)
Visibility LayerTrack how often your brand is mentioned, recommended, or cited across ChatGPT, Perplexity, Gemini, and Google AI Mode. Measured weekly across a statistically sized prompt library designed around your category and customer journey stages.
Downstream Signal Capture
Proxy LayerCapture the signals AI visibility creates: branded search volume lifts, AI referral sessions in GA4, server-log bot intelligence, and direct traffic anomalies. These free proxy signals validate ASoV movement with real user behaviour.
Causal Validation
Incrementality LayerMove beyond correlation. Geo-holdout experiments and Marketing Mix Modelling (Meridian) isolate the incremental revenue contribution of AI visibility from organic halo effects, proving causation rather than just correlation.
Revenue Attribution
Impact LayerTranslate AI visibility into a board-ready investment case. Connect ASoV improvements to incremental branded search revenue, pipeline contribution, and ROAS — using the same rigorous measurement infrastructure your finance team already respects.
From Zero to
Revenue Proof
in 90 Days
A phased implementation that starts delivering value from week one. Each phase builds on the previous, moving from visibility tracking to causal revenue attribution — giving your CFO the evidence they need.
Foundation & Baseline
- Deploy AI visibility monitoring (ASoV tracking across ChatGPT, Perplexity, Gemini)
- Design statistically valid prompt library (15–50 prompts per category)
- Configure GA4 custom channel groups for AI referral capture
- Implement server-log bot intelligence pipeline
- Establish branded search volume baseline via Google Search Console
Signal Integration & MMM Setup
- Integrate ASoV time series into Google Meridian MMM data pipeline
- Connect Google Query Volume (GQV) or GSC proxy data
- Map AI bot crawl patterns to content performance
- Build weekly AI Visibility Scorecard with automated reporting
- Identify geo markets for holdout experiment design
Incrementality & Executive Scorecard
- Launch geo-based GEO/AEO content programme with holdout design
- Run first incrementality test: AI-optimised vs. control markets
- Publish first AI Visibility Scorecard with MMM-attributed revenue
- Calculate incremental ROAS for AI visibility investment
- Present board-ready investment scenario to leadership
Continuous Optimisation
- Monthly ASoV trend analysis and competitive benchmarking
- Quarterly MMM model refresh with AI visibility channel data
- Agentic commerce readiness assessment (UCP, ACP protocols)
- Brand Experience Optimisation (BX) recommendations
- Executive quarterly business review with AI visibility ROI
What Industry
Leaders Are
Doing Now
The AI search landscape is moving fast. Here's what the most forward-thinking brands and measurement teams are investing in right now — and why waiting is the most expensive option.
ASoV Is the New KPI
Leading brands are tracking AI Share of Voice as a primary marketing KPI alongside traditional brand metrics. Early movers report 15–30% branded search lifts within 90 days of GEO/AEO optimisation.
Agentic Commerce Is Here
Google's Universal Commerce Protocol (UCP) and OpenAI's Agent Commerce Protocol (ACP) are enabling AI agents to discover, compare, and purchase products autonomously. Brands without structured data will be invisible to these agents.
MMM Is Going Open-Source
Google Meridian has made Marketing Mix Modelling accessible to mid-market brands for the first time. The ability to include AI visibility as a channel variable means even $5M-revenue brands can measure incrementality.
BX Outweighs SEO
Brand Experience Optimisation (BX) — the combination of branding, customer experience, and product marketing — is becoming the primary driver of AI recommendations. AI engines weigh sentiment, reviews, and CX signals more heavily than backlinks.
Discovery 360
Our proprietary Discovery 360 model maps the complete AI discovery journey — from the moment an AI engine crawls your content, through the recommendation decision, to the downstream revenue impact. It's the only framework that connects all four measurement layers into a single, actionable intelligence system.
Learn About Discovery 360Two Phases,
One Clear
Investment Path
Our engagement follows the IMWT delivery model: a one-time setup phase to Diagnose + Decide, followed by an ongoing retainer to Deliver + Prove. The setup audit is commercially valuable on its own — you decide whether to proceed to the retainer based on what we find.
T1 Opportunity Scan | T2Recommended Strategic Audit | T3 Transformation Roadmap | |
|---|---|---|---|
| Delivery Mode | Guide | Guide / Enable | Guide / Enable / Do |
| Duration | 2–3 weeks | 4–6 weeks | 8–10 weeks |
| What's Included |
|
|
|
| Ideal For | Brands that need a fast, directional read on their current AI visibility position. | Brands ready to build a measurement-backed AI visibility strategy with competitive context. | Enterprise brands committing to AI visibility as a board-level investment category. |
| Setup Fee (EUR) | €4,000 – €6,000 | €9,000 – €15,000 | €20,000 – €35,000 |
Complexity Multipliers
Bundle Discounts
Setup + Retainer bundle: Commit to the setup engagement and a 6-month retainer upfront to receive a 15% discount on the setup fee.
The Cost of Not Measuring
Every month without AI visibility measurement is a month where competitors are capturing AI recommendations you can't see, building authority you can't track, and winning customers through channels your analytics can't attribute. The brands that measure first will define the category benchmarks everyone else chases.