01agenticux.de
Buying path audit
When AI agents find your shop but can't complete the purchase.
Output: drop-off list, risk map, evidence gaps, and the first fixes for the path that matters most.
View related pageUse cases
Four places where AI purchases stop.
Agents stop when product facts, rules, comparisons, or checkout steps are not clear enough to trust.
02agenticux.de
Product evidence redesign
When your product pages convince humans but leave agents without enough facts to cite you.
Output: product evidence spec, comparison model, trust requirements, schema backlog, and concrete copy examples for key product pages.
View related page03agenticux.de
Checkout readiness
When your checkout rules only humans understand and agents leave before reaching them.
Output: checkout risk report for shipping, returns, accounts, payment, bundles, and support, with impact per fix.
View related page04agenticux.de
AI search readiness
When AI assistants and shopping agents can't confidently cite or recommend you.
Output: answer-surface checklist, crawlable proof inventory, and repeatable tests for the assistants that matter to your customers.
View related pageFast diagnosis
I separate agent ambiguity from the UX work that actually matters.
Concrete prioritization
Every fix gets an owner, cadence, and success measure.
Build with transfer
Your team inherits standards instead of reading recommendations.