AI cannibalization
Users may get enough information from AI summaries before they ever click through.
AI visibility decision training
Clicks down. Visibility up. Now what?
The GEO Decision Course helps teams turn AI visibility uncertainty into a clearer business decision.
- Cause separation
- Severity scoring
- Decision matrix
The diagnostic gap
Most teams misread the reason visibility changed.
When AI answers enter the buyer journey, the same traffic chart can hide several different problems.
Content decay
Old pages may still rank, while their claims no longer match how AI systems summarize the market.
Technical ambiguity
Weak structure can make a good brand harder to cite, compare or recommend.
Free lead magnet
The AI Visibility Triage
The triage separates likely causes before teams spend on the wrong fix.
- Separate AI cannibalization from content decay.
- Assign a severity score to the visibility issue.
- Choose the next action with a decision matrix.
- Set a monthly baseline for ongoing measurement.
Get the free 15-minute diagnostic
Join the founding cohort waitlist and receive the AI Visibility Triage when the delivery sequence is connected.
What is being built
A decision course for the AI search era.
The course teaches a practical workflow for diagnosing visibility changes and deciding what to fix first.
TODO: Module title from Peter
Define the decision problem before collecting AI visibility evidence.
TODO: Module title from Peter
Build a QueryBank that reflects real buyer questions and decision moments.
TODO: Module title from Peter
Collect Evidence Packages without turning the process into a noisy screenshot archive.
TODO: Module title from Peter
Score narratives for clarity, citation quality and recommendation readiness.
TODO: Module title from Peter
Decide whether the next fix is content, structure, positioning or measurement.
TODO: Module title from Peter
Build a monthly baseline that leadership can understand and reuse.
GEO Studio
A browser-based workspace concept for QueryBank, Evidence Packages and Narrative Scorecard workflows.
Real case evidence
0/20 to 18/20 AI recommendation visibility.
Prime Steak & Wine moved from no presence in measured AI recommendation scenarios to first-place recommendation presence in 18 out of 20 relevant measured queries.
This is case evidence, not a guarantee. AI answers are dynamic and cannot be guaranteed.
View AuditUniversePro case context
Before
0/20
After
18/20
Measured AI recommendation visibility for one verified hospitality case.
Founding cohort
50 seats. Founding pricing. Waitlist members first.
The first cohort is designed for people who want a decision workflow, not another generic SEO checklist.
TODO: Public price and launch date will be added when Peter confirms them.
Join the founding cohort waitlistWho's behind this
Peter Beko, AuditUniversePro
Peter Beko builds AI visibility diagnostics for premium brands that need clearer evidence before committing budget.
AuditUniversePro focuses on AI recommendation visibility, semantic clarity and measurable business impact.
Connect with Peter on LinkedIn
Evidence before tactics.
No guaranteed AI rankings.
Decision clarity over dashboards.
FAQ
Clear answers before you join.
Is this SEO?
It is related to SEO, but it is not the same. The focus is AI-powered discovery, recommendation presence and decision quality.
Do you guarantee AI rankings?
No. AI answers are dynamic and cannot be guaranteed. The course focuses on improving the recommendability baseline and the quality of evidence.
Who is this for?
It is for founders, marketers, consultants and operators who need to diagnose AI visibility changes before spending on fixes.
When does it launch?
TODO: Launch date from Peter. Waitlist members will receive founding cohort details first.
What happens after I join?
You will be on the founding cohort waitlist and receive the AI Visibility Triage once the email delivery system is connected.