---
title: "How home decor brands get found through AI product discovery"
description: "By showing up in the visual product sets AI tools build from style questions, with images, colors, materials and reviews an assistant can read."
canonical: "https://underneath.agency/resources/home-decor-brands-ai-product-discovery"
published: 2026-10-07
updated: 2026-10-08
publisher: "Underneath (https://underneath.agency/agent)"
entity: "https://underneath.agency/.well-known/entity.json"
---
Guide · AI search

# How do home decor brands get found when shoppers ask AI for a look, not a product?

By being one of the products an AI tool shows when a shopper describes a style, a room or a color, and by giving that tool the images, colors, materials and reviews it needs to match your product to the request. Decor shoppers rarely ask for a brand. They ask for a “vibe,” and AI search is now built to turn that vibe into a set of products to buy.

## The short version

1. Decor shoppers find new sites through search and other retailers. In a March 2025 survey of 300 US home and decor shoppers by Wunderkind and MX8 Labs, search engines drove 39% of first visits to a decor website, retail stores like IKEA 26% and marketplaces like Wayfair 23%.
2. Decor is bought often. In the same survey, 15% of shoppers bought from home and decor brand websites weekly, including 28% of Gen Z.
3. The discovery platforms decor depends on are adding AI. Pinterest, which counted 640 million monthly users in mid-2026, launched an AI assistant built for requests like throw pillows that match a living room.
4. Google built visual shopping into AI Mode around examples like maximalist bedroom design, drawing on more than 50 billion product listings.
5. Checkout moved toward the answer: Etsy, whose Home and Living category grew in late 2025, announced an integration with ChatGPT Instant Checkout and agentic shopping partnerships with Google and Microsoft. OpenAI scaled Instant Checkout back in March 2026, according to [FashionUnited](https://fashionunited.com/news/retail/us-consumers-would-let-ai-agents-buy-clothes-but-not-without-a-say/2026092974919), though its help page still describes it for some eligible merchants.

## Who buys home decor, and how often?

Style-led shoppers who browse for inspiration and buy small items often, especially younger ones.

Decor is not furniture. The ticket is smaller, the purchase is more frequent and the decision is about taste more than specifications. Furniture is a larger, more considered sale, covered in [how furniture brands win high-ticket orders](https://underneath.agency/resources/furniture-brands-sales-from-ai-search). The [Wunderkind Home and Décor Consumer Insights Report](https://hello.wunderkind.co/hubfs/PDFS%20-%20Content/2025-Home-and-Decor-Consumer-Insights-Report.pdf?hsLang=en), based on a survey of 300 US shoppers fielded with MX8 Labs, shows the pattern. Weekly purchases from home and decor brand websites were highest among Gen Z (28%) and millennials (25%), against 1% of boomers, and nearly half of boomers (49%) bought only once or twice a year.

Browsing without buying is part of the category. In the survey, 31% of shoppers browsed decor sites looking for design inspiration, and 23% bookmarked or saved items for later. The report, written by a marketing vendor, says only 3% of visitors complete a purchase in a single session. For a decor brand, the customer’s value comes from repeat baskets of pillows, throws, candles and frames, not one large order.

## Where do decor shoppers discover new brands today?

Mostly through search engines, other retailers, marketplaces and social platforms, with AI now built into each.

The Wunderkind survey asked how shoppers first find a home and decor website. Search engines led at 39%, followed by links from online retail stores like IKEA or Home Depot (26%), ads (24%) and marketplaces like Amazon or Wayfair (23%). Social media posts and influencer recommendations brought 16% overall, but 29% of Gen Z. Reading about a brand in an article, blog or review brought 12%. Every one of those doors now has an AI layer.

**Search.** Google rebuilt shopping in AI Mode around visual, style-led questions. Its [announcement of visual search in AI Mode](https://blog.google/products/search/search-ai-updates-september-2025/) uses a decor example: “Let’s say you’re searching for maximalist design inspiration for your bedroom.” The shopper can follow up by asking for “dark tones and bold prints,” start from a photo, and click through to buy from listings drawn from Google’s Shopping Graph of more than 50 billion product listings, with more than 2 billion refreshed every hour.

**Social discovery.** Pinterest, a primary home for room inspiration, launched [Pinterest Assistant](https://channelx.world/2025/10/new-pinterest-assistant-ai-feature-for-enhanced-discovery-and-shopping/) in late 2025. Its launch example: “I need new throw pillows that match my living room decor,” answered from the shopper’s saves and boards and from people with similar taste. Pinterest’s [second quarter 2026 results](https://s204.q4cdn.com/369458543/files/doc_earnings/2026/q2/earnings-result/Q2-2026-Press-Release.pdf) reported 640 million monthly active users and revenue of $1,180 million, up 18%, and its CEO said “AI is at the heart of our momentum.”

**Marketplaces.** Etsy, where handmade and vintage decor is a core category, reported in its [fourth quarter 2025 results](https://investors.etsy.com/_assets/_fea57334fe81a735b34cf3bf4bdcb553/etsy/db/938/10062/earnings_release/Exhibit+99.1+12.31.2025.pdf) that its Home and Living category grew year over year, with 86.5 million active buyers on the Etsy marketplace.

## Which questions lead a decor shopper to a product?

Questions about a style, a room, a color match or a gift, rarely a brand name.

The examples below are ours, written to show how decor questions are usually framed; they are illustrative, not logged queries:

- Style: “Warm minimalist living room decor ideas under $300.”
- Color match: “Throw pillows that go with a rust velvet sofa and a cream rug.”
- Constraint: “Renter-friendly wall decor that doesn’t need nails.”
- Gift and season: “Unique handmade housewarming gifts” or “Japandi holiday decor.”
- Comparison and trust: “Best washable rugs for a home with pets” or “Is this brand’s bedding good quality?”

Decor questions differ from most product questions in one way: the shopper often cannot name what they want until they see it. Pinterest calls this the “I’ll know it when I see it” problem. That makes images and descriptive attributes, not product names, the way a decor item gets matched to a request. An [academic study of brand recommendations](https://arxiv.org/abs/2609.16304) by Northwestern and Boston University researchers found that when a request spelled out the shopper’s goals and constraints, the brands an AI model retrieved changed, and brands left out of ordinary answers could surface when distinctive cues matched their positioning. Fashion brands meet the same look-first questions, covered in [how fashion brands get recommended by AI](https://underneath.agency/resources/fashion-ecommerce-ai-recommendations).

## How does AI discovery turn into revenue for a decor brand?

Through inclusion in a visual set of options, then a click or an in-chat checkout, then repeat baskets.

**Inclusion.** A decor answer is usually a set of images and listings, not a single pick. Being one of eight pillows shown for “rust velvet sofa” is the equivalent of a shelf placement.

**The click or the checkout.** When it launched Instant Checkout in September 2025, OpenAI said [more than 700 million people use ChatGPT each week](https://openai.com/index/buy-it-in-chatgpt/) and that US users could buy directly from US Etsy sellers in chat. FashionUnited reports OpenAI scaled the feature back in March 2026, though OpenAI’s help page still describes it for some eligible merchants. Etsy added partnerships with Google and Microsoft in January 2026 so that signed-in US users can buy select Etsy items inside AI Mode, the Gemini app and Copilot Checkout, “at the moment shoppers move from inspiration to intent.”

**The repeat basket.** Because younger decor shoppers buy weekly or monthly, a brand that is found once through an AI answer can be bought from again directly. A reasonable expectation is that the first AI-led discovery matters more than its first order value.

The evidence on conversion is mixed, and decor executives should know it. When [Adobe](https://blog.adobe.com/en/publish/2025/03/17/adobe-analytics-traffic-to-us-retail-websites-from-generative-ai-sources-jumps-1200-percent) first measured visits from AI tools in early 2025, conversion rates from that traffic were highest in electronics and jewelry and lowest in apparel, home goods and grocery. In the [2025 holiday season](https://news.adobe.com/news/2026/01/adobe-holiday-shopping-season), AI traffic to US retail sites rose 693.4%, but AI was used most for video games, toys, appliances, electronics and personal care. Holiday decor sales rose 285% against pre-season levels, a seasonal surge that Adobe did not attribute to AI. We infer that AI already shapes decor discovery more than it closes decor sales.

## What decides whether an AI tool shows your decor products?

Product data and images, independent mentions and reviews; platforms document some of it, studies show the rest.

**Documented by the platforms.** OpenAI says [ChatGPT selects shopping results](https://help.openai.com/en/articles/11128490-improved-shopping-results-from-chatgpt-search) using structured metadata from first-party and third-party providers and other third-party content, and may show summaries of reviews from public websites. Its [product feed specification](https://developers.openai.com/commerce/specs/feed) includes fields for color (“consistent with the product image”), pattern and material, the attributes a decor match depends on. Its Instant Checkout announcement added that items sold through that checkout were not preferred in product results. Google’s [guidance on AI features](https://developers.google.com/search/docs/appearance/ai-features) says there are no additional requirements or special optimizations needed to appear in AI Overviews or AI Mode, and recommends supporting text with high-quality images, keeping structured data consistent with the visible page and keeping Merchant Center information up to date.

**Observed in studies.** The Northwestern study found that how prominently a brand was recommended was associated with broader marketplace visibility, particularly search interest and online brand conversation, more than with conventional brand popularity. In [our study of “best of” lists](https://underneath.agency/research/self-promoting-best-lists-study) cited by AI engines, 65 of 269 lists (24.2%) ranked their own publisher first, so retailer-written roundups of “best throw blankets” often favor the retailer’s own goods. And answers move: in [our consistency study](https://underneath.agency/research/ai-recommendation-consistency-study), a single ChatGPT answer showed 57.8% of the brands its five answers named between them.

**Trust factors specific to decor.** We infer that what helps an AI tool match a decor item is what helps a shopper picture it in their room: accurate color names, material and texture, real dimensions, several photos in a styled room, and reviews that mention color accuracy and quality. Editorial coverage in gift guides and design publications matters because decor shoppers already find brands through articles and reviews. Sportswear brands make the same bet on exact product attributes, matched to an activity rather than a room, as our guide on [how sportswear brands win AI shoppers](https://underneath.agency/resources/sportswear-brands-ai-search) shows.

## What does a decor brand lose if AI tools skip it?

The early, style-led moment when a shopper decides what the room should look like.

The cost is not easy to measure, and we found no study that counts decor sales lost to AI answers. What we can say is where the exposure lies. Search engines, marketplaces and social platforms brought most first visits in the Wunderkind survey, and each is now inserting an AI layer between the shopper’s question and the products shown. A brand whose products lack clear color, material and style data gives that layer less to match. A brand sold mainly through marketplaces may be shown under the marketplace’s name, not its own. Independent decor makers face a further handicap, covered in [whether AI assistants favor big brands](https://underneath.agency/resources/do-ai-assistants-favor-big-brands): well-known names tend to win when products look alike.

## How does GEO work for a home decor brand?

By making each product easy to match to a style request and easy to trust, without promising placement.

1. **Attribute-rich product data.** Color names a shopper would use, pattern, material, texture, dimensions and care, in product pages, structured data and feeds to Google, OpenAI and the marketplaces you sell on.
2. **Images with words.** Several photos per item, including styled rooms, with text on the page that describes what the image shows, the kind of copy our review of [the product content AI shopping assistants prefer](https://underneath.agency/resources/product-content-ai-shopping-assistants-prefer) favors.
3. **Style and room content.** Guides that answer style questions in your own voice: how to layer textiles, which pillows go with a green sofa, small-space decor.
4. **Independent coverage.** Gift guides, design editors and creators who show your products in real rooms. “Best of” roundups such as holiday gift lists are cited often, so it pays to know [which best-of lists AI answers draw on](https://underneath.agency/resources/best-of-lists-ai-recommendations).
5. **Presence where AI shopping runs.** Accurate listings on Etsy, Pinterest, Google Merchant Center and the retailers that carry you, with consistent names and facts.
6. **Measurement over many runs.** A tracked set of style, room and gift prompts asked repeatedly, because [AI answers about a brand change from run to run](https://underneath.agency/resources/why-ai-answers-about-your-brand-change).

## What is still unknown about AI and decor sales?

How often AI answers lead to decor purchases, and which decor brands they show.

The decor survey we cite is small (300 shoppers) and comes from a marketing vendor. Adobe’s AI traffic data covers all retail, and its early conversion figures put home goods near the bottom. Pinterest’s and Google’s launch posts describe what their tools are designed to do, not how often shoppers use them for decor. IKEA put an AI assistant in the OpenAI GPT Store in [February 2024](https://www.retailtouchpoints.com/news/ikea-launches-gen-ai-powered-design-and-shopping-tool/140545), and we found no public data on what it sold. No study we found measures which decor products AI tools show for style questions or how stable those sets are. Treat any claim of guaranteed AI placement for decor with suspicion.

## Where should a home decor brand start?

With an audit of the style, room and gift questions your customers ask, across the AI tools they use.

Pick your best-selling categories and the style words your customers use. Check whether your products appear in AI Mode, ChatGPT and the marketplaces’ AI tools for those requests, which competitors and retailers appear instead, and whether your color, material and image data is complete enough to be matched. Then fix the data and coverage gaps that keep you out of the set. If you would like us to look with you, [start with a short note about your range](https://underneath.agency/contact) and we will show where your products stand when shoppers ask AI for a look, and what would bring more of that discovery back to your own store. Our [generative engine optimization service](https://underneath.agency/services/generative-engine-optimization) page walks through how that product data, imagery and coverage work is planned and checked for decor brands.

## Frequently asked questions

### Do decor shoppers use AI tools or social platforms for inspiration?

Both, and the two are merging. Pinterest added an AI assistant, and Google’s AI Mode now answers style questions with images and products.

### Does selling on Etsy or marketplaces help or hurt AI visibility?

It can help discovery, since Etsy announced ways to buy its listings inside ChatGPT, Google AI Mode and Copilot. OpenAI scaled back ChatGPT’s Instant Checkout in March 2026, according to FashionUnited, though its help page still describes it for some eligible merchants. The risk is that shoppers credit the marketplace, not your brand.

### What product data matters most for decor in AI answers?

Color, pattern, material, size and good images. OpenAI’s product feed has fields for color, pattern and material, and Google recommends high-quality images backed by text.

### Is AI traffic for home goods worth chasing yet?

It is growing but converts less well than in electronics, according to Adobe’s early data. The stronger case is discovery: being in the set shoppers see when they decide on a look.

## Sources

- Wunderkind and MX8 Labs (2025), [The Home and Décor Consumer Insights Report 2025](https://hello.wunderkind.co/hubfs/PDFS%20-%20Content/2025-Home-and-Decor-Consumer-Insights-Report.pdf?hsLang=en)
- Pinterest (2026-08-04), [Pinterest Announces Second Quarter 2026 Results](https://s204.q4cdn.com/369458543/files/doc_earnings/2026/q2/earnings-result/Q2-2026-Press-Release.pdf)
- ChannelX (2025-10-30), [New Pinterest Assistant AI feature for enhanced discovery and shopping](https://channelx.world/2025/10/new-pinterest-assistant-ai-feature-for-enhanced-discovery-and-shopping/)
- Google (2025-09-30), [AI Mode can now help you search and explore visually](https://blog.google/products/search/search-ai-updates-september-2025/)
- Google Search Central (2026), [AI features and your website](https://developers.google.com/search/docs/appearance/ai-features)
- Etsy (2026-02-19), [Etsy, Inc. Reports Fourth Quarter and Full Year 2025 Results](https://investors.etsy.com/_assets/_fea57334fe81a735b34cf3bf4bdcb553/etsy/db/938/10062/earnings_release/Exhibit+99.1+12.31.2025.pdf)
- OpenAI (2025-09-29), [Buy it in ChatGPT: Instant Checkout and the Agentic Commerce Protocol](https://openai.com/index/buy-it-in-chatgpt/)
- FashionUnited (2026-09-29), [US consumers would let AI agents buy clothes, but not without a say](https://fashionunited.com/news/retail/us-consumers-would-let-ai-agents-buy-clothes-but-not-without-a-say/2026092974919)
- OpenAI (2026), [Shopping with ChatGPT Search](https://help.openai.com/en/articles/11128490-improved-shopping-results-from-chatgpt-search)
- OpenAI (2026), [Product Feed Spec](https://developers.openai.com/commerce/specs/feed)
- Adobe (2025-03-17), [Traffic to U.S. retail websites from generative AI sources jumps 1,200 percent](https://blog.adobe.com/en/publish/2025/03/17/adobe-analytics-traffic-to-us-retail-websites-from-generative-ai-sources-jumps-1200-percent)
- Adobe (2026-01-07), [Holiday Shopping Season Drove a Record $257.8 Billion Online](https://news.adobe.com/news/2026/01/adobe-holiday-shopping-season)
- Retail TouchPoints (2024-02-05), [Ikea Launches Gen AI-Powered Design and Shopping Tool](https://www.retailtouchpoints.com/news/ikea-launches-gen-ai-powered-design-and-shopping-tool/140545)
- Northwestern University and Boston University researchers (2026-09), [Evaluating Brand Retrieval and Ranking in Large Language Model Recommendations](https://arxiv.org/abs/2609.16304)
- Underneath (2026), [Self-promoting “best of” lists study](https://underneath.agency/research/self-promoting-best-lists-study)
- Underneath (2026), [AI recommendation consistency study](https://underneath.agency/research/ai-recommendation-consistency-study)

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