Strong
The sampled evidence supports the buyer question clearly.
THE FIVE GATES METHOD
LionTech observes how AI systems find, explain, support, compare and act on public business information.
THE FRAMEWORK
Each gate asks a practical question about what customer-facing AI systems can currently understand and support.
Can AI find the business for real buyer questions?
Browse industries02Does AI explain the business accurately?
See industry facts03Can AI find credible evidence for the claims?
Review evidence standards04Can AI distinguish the business from alternatives?
Explore comparisons05Can a buyer or agent take the next step?
Request a SnapshotSTATUS MODEL
The founding Snapshot uses four plain-language statuses. A public 0-100 benchmark remains blocked pending Customer Zero and further validation.
The sampled evidence supports the buyer question clearly.
The path is usable, with limited improvements identified.
Material weaknesses could affect buyer understanding or action.
A significant evidence, accuracy or action-path issue requires attention.
EVIDENCE STANDARDS
Findings remain tied to the agreed sampled tests and the public information available at the time of review.
LionTech records what the selected AI systems returned for agreed buyer questions.
Relevant facts, sources and competitor appearances are documented for review.
Recommendations are checked for factual relevance and practical business use.
No invented authority. No future ranking guarantee.
TESTING PROCESS
The process stays focused on real buyer intent, recorded evidence and changes the business can approve.
Confirm the business, buyer questions and focused competitor set.
Run sampled tests across leading AI systems.
Check factual accuracy, sources, comparison and action paths.
Map the findings to the Five Gates and the top five fixes.
Deliver a practical 30-day plan and review call.
Start with evidence
The AI Visibility Snapshot turns sampled buyer questions into evidence, a Five Gates profile and a practical 30-day action plan.