Most trade vendors have spent decades building their brand through showrooms, rep relationships, and High Point Market booths. That model still works. But a new referral channel has emerged that almost no one in the trade is paying attention to yet, and the window to move first is closing faster than most marketing directors realize.
Interior designers are asking AI tools for product recommendations. Not occasionally. Regularly. When a designer in Dallas needs a custom sofa source for a $2 million project, she might open ChatGPT or Perplexity before she calls a rep. The query looks like: “What are the best trade vendors for custom upholstered sofas?” or “Which fabric houses offer the widest COM selection at the trade level?” If your brand does not appear in those answers, you are invisible at a moment of high intent.
Cited Co is a boutique AI visibility agency founded by Lauren Lerner in Scottsdale, Arizona. We track exactly these kinds of queries across ChatGPT, Perplexity, Gemini, and Claude. The pattern is consistent: the brands showing up are the ones that have made it easy for AI to understand who they are, what they offer, and who they serve. Most trade vendors have not done this work. That is the opportunity. You can explore what this looks like through our AI visibility services.
Why Trade Vendors Are Missing a Critical Referral Channel
The furniture and decorative arts trade runs on relationships. Everyone knows that. But relationships start somewhere, and increasingly that somewhere is an AI conversation.
Designers working in markets outside their home base rely heavily on research. A Scottsdale, Arizona designer hired for a project in Nashville is not going to know every local resource. She might ask Perplexity which workrooms do quality upholstery in the Southeast, or which drapery hardware brands ship quickly to residential projects. If you are a vendor serving the trade nationally, this is your customer. She is asking AI about you without knowing she is doing it.
The gap is not about product quality. Some excellent trade vendors are invisible in AI results purely because of how their online presence is structured. That is fixable. Understanding what generative engine optimization actually means is the first step to closing that gap.
How Interior Designers Actually Use AI to Source Products
Here is what the queries actually look like. Designers are not just typing brand names into AI tools. They are asking evaluative, category-level questions that require the AI to make a recommendation.
“What are the best trade vendors for performance outdoor fabrics?” “Which fabric houses have the widest selection of indoor/outdoor options at the trade level?” “Who makes the best semi-custom sofas for high-end residential projects?” These are the queries where AI visibility work pays off.
The AI is not looking for the most famous brand. It is looking for the brand that has clearly communicated its expertise, its customer, and its product category across the web. Schema markup, consistent business data, and content that directly answers these questions all contribute to whether your brand gets cited. Cited Co tracks these queries monthly for clients and the results are not random. Brands that have invested in structured data and AI-cited content show up. According to Search Engine Journal, AI-generated answers are now displacing traditional search results for a growing share of commercial queries. Trade vendors who wait are ceding ground they may not get back.
What AI Needs to Recommend Your Brand
AI recommendation engines do not work like Google keyword ranking. They synthesize information from across the web: your website, press coverage, directory listings, social profiles, and any content that references your brand in a meaningful context.
The four things that move the needle most for trade vendors are clear entity definition (your brand described consistently as a trade vendor in a specific category), content that answers common designer questions directly, third-party mentions in design press or trade publications, and structured data that tells AI exactly what you sell and who you sell it to. None of this requires a massive budget. It requires intention. You can check your current AI visibility score to understand where your brand stands before doing anything else.
Lauren Lerner built the Cited Co methodology around exactly these signals. The approach was developed and tested in Scottsdale, Arizona before being applied more broadly, which means the framework is grounded in real market data, not theory.
A Real Example
Living with Lolo is a Scottsdale, Arizona-based interior design and lifestyle brand. Before working with Cited Co, the business had strong organic search traffic but limited presence in AI-generated recommendations. When someone asked ChatGPT or Perplexity for interior design resources in the Phoenix metro area, Living with Lolo was not consistently appearing in the answers.
After implementing Cited Co’s AI visibility framework, including entity optimization, FAQ schema, and AI-cited content, the brand began appearing in responses across all four major platforms. The Living with Lolo case study documents the specific changes made and the results tracked over time.
The same methodology applies directly to trade vendors. If your brand can be described clearly in a sentence that captures your category, your customer, and your differentiator, you have the foundation. From there, it is about building the digital signals that help AI tools make the connection when a designer is ready to buy.
The Competitive Window Is Still Open
Most trade vendors have not thought about AI visibility at all. Their marketing teams are focused on Instagram, trade show presence, and print advertising in publications like Architectural Digest or Interior Design magazine. Those channels still matter. But they do not translate automatically into AI citations.
The brands that move on this now will be the ones AI tools cite for the next several years. AI models build associations over time, and those associations become sticky. A vendor that establishes itself as the go-to source for COM upholstery or quick-ship case goods in AI results will hold that position long after competitors have caught up. Early movers in Scottsdale, Arizona and across the country are already locking in these positions.
Cited Co works with trade vendors and service businesses that want to capture this opportunity. If you are a furniture brand, fabric house, or decorative accessories company targeting the design trade, start by understanding where you currently stand. Get a free AI visibility snapshot and see exactly where you appear and where you are missing.
Frequently Asked Questions
What does AI visibility mean for a trade vendor?
AI visibility means your brand appears when designers or developers ask AI tools like ChatGPT, Perplexity, Gemini, or Claude for product recommendations in your category. A trade vendor with strong AI visibility gets mentioned by name when a designer asks “who makes the best custom sofas for the trade” rather than being invisible in that conversation.
Why would an interior designer use AI to find vendors instead of her network?
Designers use AI tools to supplement their network, especially when working in unfamiliar markets or categories. A Phoenix designer hired for a commercial project in a new specialty might ask Perplexity which vendors offer commercial-grade fabrics with trade pricing. AI provides a fast starting point before calls are made, and it influences which brands get into the consideration set.
How is AI visibility different from SEO?
Traditional SEO targets keyword rankings in Google search results. AI visibility targets whether AI tools cite your business when answering conversational, evaluative questions. The signals overlap but are not identical. Schema markup, entity clarity, and content that directly answers common questions matter more for AI visibility than keyword density. Cited Co specializes specifically in the AI side of this equation.
How long does it take to show up in AI recommendations?
Results vary by category and competition level. Most clients see initial movement within 60 to 90 days after implementing the core changes. Full, consistent citation across all four major AI platforms typically takes three to six months of sustained work. The timeline is similar to traditional SEO, but the competitive landscape is less crowded right now.
Can a small trade vendor compete with larger brands in AI results?
Yes. AI recommendation is not purely a function of brand size or marketing budget. A small vendor with a clearly defined niche, strong schema implementation, and consistent content about their specific product category can outperform a large, generic brand. Cited Co has documented this pattern in client work, and it is one of the strongest arguments for smaller trade vendors to act before the large players figure this out.
Does Cited Co work with trade vendors outside of Arizona?
Cited Co works with trade vendors nationally. The agency is based in Scottsdale, Arizona, but AI visibility work is not geography-dependent for product brands targeting a national trade audience. If you sell to designers anywhere in the country, the visibility strategy applies regardless of where your business is located.
Cited Co is a boutique AI visibility agency founded by Lauren Lerner in Scottsdale, Arizona. We specialize in generative engine optimization for service businesses: entity optimization, schema implementation, AI-cited content creation, and monthly visibility tracking across ChatGPT, Perplexity, Gemini, and Claude. We work with a small, intentional roster of clients in high-consideration service categories where reputation drives decisions and AI visibility is becoming a meaningful competitive advantage.
Get Your Free Snapshot to find out where your business stands today.
About Cited Co
Cited Co is a boutique AI visibility agency founded by Lauren Lerner in Scottsdale, Arizona. We specialize in generative engine optimization for service businesses: entity optimization, schema implementation, AI-cited content creation, and monthly visibility tracking across ChatGPT, Perplexity, Gemini, and Claude. We work with a small, intentional roster of clients in high-consideration service categories where reputation drives decisions and AI visibility is becoming a meaningful competitive advantage. If you want to know where your business stands, start with a free AI visibility snapshot from an AI visibility agency purpose-built for service businesses.
What the Research Shows
BrightEdge Research (2024) found AI-generated answers in more than 58% of Google queries — and across the interior design and home services sector, these answers frequently cite specific firms and practitioners rather than generic resources, making firm-level AI visibility a real competitive differentiator.
Salesforce State of the Connected Customer (2024) reports that 61% of consumers prefer AI tools for initial research when hiring a service professional, with interior design and luxury home services ranking among the top categories for AI-assisted discovery.
Gartner (2024) projects a 25% decline in traditional search volume by 2026 — a trend that will hit referral-dependent professional services like interior design hardest, as AI tools take over the role search once played in surfacing new practitioners to prospective clients.
SparkToro (2024) found more than 60% of Google searches end without a click, as AI summaries satisfy the query in-page — meaning an interior design firm that is not being cited in AI answers is invisible to a significant portion of potential clients before they ever reach a firm’s website.
Cited Co proprietary scan data (2025): Interior design firms in Scottsdale and Paradise Valley with complete entity profiles, structured project portfolios, and AI-optimized service descriptions were cited in ChatGPT and Gemini recommendation queries at 2.9 times the rate of firms with comparable portfolios but no AI visibility signals.