The approach
Start with the business problem.
Not the keyword. We treat discovery as an experiment: measure what's true now, change what matters, and check whether the right customers got easier to reach.
Where Rubricks works
Discovery breaks between the question and the hire.
A customer asks. An AI system tries to understand the question. Somewhere in there, discovery can break — long before anyone gets contacted or hired. Rubricks works at that break, on a loop that repeats.
- Customer asks
- AI systems try to understand the customer question
- Discovery break
- Contacted
- Hired
Fix the discovery problems that matter.
Know what's happening before changing anything.
See whether the right customers get easier to reach.
Baseline → Fix → Measure — then Measure feeds the next baseline. The loop is the point.
Stages
Baseline
Record the before-state in evidence — search and AI visibility, site structure, authority, competitors, and today's leads. Runs are captured and left unchanged so change can be detected later.
Diagnose
Name where the chain breaks. Can systems find you, identify you, connect you to the right service, place you in the right market, and put you on the shortlist? The break decides the work.
Intervene
Change only what the diagnosis calls for — and log each change with a hypothesis and the metric it should move. No engagement gets every intervention.
Measure
Re-run the same measurements and trace discovery through to a real outcome — an inquiry, an appointment, a new relationship, revenue. Typical first engagement: 90 days, measured
What we may look at
Depends on the diagnosis
What we don't do
On purpose
- ✕ Publish pages just because a keyword exists
- ✕ Chase visibility with no commercial purpose
- ✕ Replace your team unnecessarily
- ✕ Measure success with vanity metrics alone
Start with the discovery problem.
Tell Rubricks the customers or opportunities you want more of, and we'll start with how people currently find you.