AI Test Purchase · Series 6 · 5 public generative AI assistants of mattress, bedding and bed brands
Can I Return a Mattress After 18 Months? Five Bedroom Brands, One Shopper, Twelve Questions
For ecommerce, CX and conversational-AI teams in home and sleep retailConsumer research into AI assistants by the test purchase method. A fictional shopper who has just moved into a first apartment chooses a mattress, sheets or a bed and asks about the product, shipping, the home trial, returns, warranty and payment. Every answer checked against the brand's own pages, saved and frozen before the first question.
This is an independent research project run by an individual, Sergei Ponomarev, under the AI Business name. Its purpose is to help companies improve the quality of service for their customers by testing and improving their AI assistants; it is written not to criticise but to help. It was not commissioned or funded by any brand, store or technology vendor. The study describes the observed behaviour of specific public versions of five AI assistants in saved conversations on 12 October 2026. It is not a ranking, not a comparison of products and not a recommendation to buy; it does not assess the brands, their products, staff, internal architecture or regulatory compliance. No orders were placed, no accounts created and no personal data entered. The whole study took place online: an automated browser opened each brand's website as a US visitor and typed the questions into the chat as a person would. Nineteen websites of mattress, bedding and bed brands were screened and five took part. The reference answers were taken only from the same brands' pages, including hidden sections and machine-readable markup, and frozen before the first question. The report gives the twelve questions, two results tables, a chapter of best practices, points worth attention, the method and its limits, and for each assistant every question, the answer, the website page, the verdict and suggestions. If a brand finds a factual inaccuracy, please send the supporting evidence to info@aibusiness.vc: confirmed corrections are published in a dated change log, an official comment can be added, and the original version stays preserved. Version 1.0, 12 October 2026; the PDF's SHA-256 is published next to it.
What's inside · 18 pages
- The twelve questions as one shopper's story, with the product, variant and price chosen for each brand
- Two results tables: ten factual questions and three behavioural ones, assistants listed alphabetically
- Best practices for the industry: rejecting a false claim with the real rule and fees, answering from the product page with numbers, admitting the limits of advice and offering an alternative, laying out the warranty by years, giving full contacts
- Points worth attention: website pages that disagree with each other, published contacts that did not reach the chat, a return period counted from the wrong date
- For each assistant: every question, the answer, the website page, the verdict and suggestions
- The method: 19 websites screened, qualification of generative AI with the level of evidence stated per brand, a frozen reference captured as the US storefront, limits stated plainly, a corrections channel
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