The Maze: Rufus is not making Amazon shopping shorter. That is the point. Sensor Tower's US Amazon.com data shows Rufus-assisted sessions running far longer than non-Rufus sessions, often 35 to 50 minutes versus less than 20. Yet those longer sessions converted above 40% through much of Q1 2026, while non-Rufus sessions mostly sat near 20-24%. The assistant is not a checkout shortcut. It is a way to keep the research phase inside Amazon.
The conversion gap is too large to treat as interface trivia. Rufus-assisted sessions started at 35.1% conversion in September 2025, crossed 42% in mid-December, peaked at 44.6% on 1-Feb-2026, and still finished at 41.5% on 19-Apr-2026. Non-Rufus sessions moved from 16.3% to 22.9% over the same window. That is roughly a 17-19 percentage-point gap through much of Q1, based on Sensor Tower's State of Web 2026 data. It does not prove Rufus caused the sale. It does show Amazon has a distinct high-intent lane.
Longer sessions are not friction when the shopper is deciding. The usual ecommerce instinct is to compress the path: fewer clicks, faster search, faster checkout. Rufus flips that logic. The source data shows Rufus-assisted time to conversion peaking at 50.6 minutes on 23-Nov-2025 and returning above 40 minutes in late March. Non-Rufus sessions stayed mostly around 13-17 minutes. That is not a broken funnel. It is comparison, deal navigation, review digestion, and doubt removal happening before the basket.
The strategic asset is the research session, not the chatbot. Amazon's Rufus materials position the assistant around product questions, comparisons, and recommendations, which is exactly where considered purchases leak to Google, Reddit, YouTube, and review sites. If Rufus can answer the comparison question inside Amazon, the decision and the margin stay closer to the marketplace. For sellers, that shifts optimization from keyword stuffing toward structured attributes, clear tradeoffs, review themes, fit guidance, and product content that an assistant can actually use.
The caveat keeps the claim useful. Rufus-assisted shoppers may already be more serious buyers before they ask the assistant for help. The segment is US Amazon.com, not global Amazon behavior, and the evidence is observational. That makes the safe read sharper: Rufus is probably less "AI creates demand" and more "AI captures intent." For operators, that is still valuable. Intent is where marketplaces make money.
Why it matters: Ecommerce teams have spent a decade trying to remove time from the journey. Rufus suggests the next layer may add time back, but in a more profitable place. Fast checkout still matters for replenishment. For considered products, the winning interface may be the one that hosts the research, compares the options, and turns hesitation into confidence before a competitor or search engine gets the shopper.
