Case studies & blueprints

Proof, done properly.

Every engagement is judged on a scorecard agreed before work starts — pipeline, SQLs, CAC and AI visibility, not vanity metrics. Here is exactly how our pilots are structured.

Our results policy

We publish verified numbers — or none.

Our industry is full of screenshots without context. We publish named results only with written client approval and data we can show from the source systems. Until then, we show you the method.

  • Every case reports at least three business KPIs — such as SQLs, pipeline or CAC — not just traffic or mentions.
  • Baselines and date ranges are stated, so improvements can be judged in context.
  • AI visibility is measured on a fixed prompt set with a documented sampling method.
  • Raw data, not screenshots — clients get prompt-level exports and live dashboards, and we show how every number is pulled.

How we report

A sample pilot scorecard.

Agreed in week one, reviewed monthly, owned by both teams.

KPIDefinitionSourceCadence
AI share of voiceShare of sampled answers that mention the brand, by engine and prompt clusterPrompt trackerWeekly
Citation rateShare of answers that link to a client URLPrompt trackerWeekly
LLM-sourced SQLsSQLs whose first or last touch is an AI referralGA4 + CRMMonthly
Demo requestsQualified demo requests from paid + organic + AICRMWeekly
Cost per SQLPaid media spend / paid-sourced SQLsAds + CRMMonthly
Pipeline sourcedOpportunity value by sourceCRMMonthly

Next step

Want a scorecard built for your business?

Start with a free AI Visibility Audit. We will baseline your AI visibility and outline the pilot scorecard we would propose.