Your merchandising rules stop at the systems you control. Product evidence travels further. Explore how teams can shift effort from placements to attributes, use Alhena conversation insights to prioritise catalog gaps, and measure whether AI agents recommend the right products.
A machine visitor policy sets how your on-site AI identifies, answers and bills conversations started by software. Here's how much AI agent traffic is hitting ecommerce, what freeloader conversations cost, and a five-step policy to serve buyer-agents without paying for bots.
Re-litigation rate is the share of AI-referred chats where shoppers re-ask questions ChatGPT already answered. Learn how to measure it, why it leaks conversions, and how to cut the handoff tax with a 7-step playbook for CX and CRO teams.
CDN defaults and security rules are deciding which AI agents can browse, cite and buy from your store. That's a revenue decision. Here's why it needs a named agent access owner, a quarterly Search, Agent, Training review and a clear decision matrix.
You changed the price at 9 a.m. ChatGPT may not know for hours, or days. Quote lag is the gap between a catalog change and the moment AI engines reflect it. Here's why it happens, how to measure it, and the feeds, APIs and signals that shorten it.
AI shopping agents compare the price an anonymous visitor sees, so the member, tier and subscriber prices your best customers pay never enter the comparison. Here's why loyalty-rich brands lose agent comparisons they should win, and a four-step framework to fix it.