Furniture marketers can integrate AI into daily operations to handle rising expectations without adding headcount, and they must adapt their web content to appear in generative search results that now drive a growing share of retail traffic. Speaking at the American Home Furnishings Alliance Marketing & PR Conference in Colfax, N.C., High Point University associate professor Matt Ritter outlined a practical framework for both challenges.
Treat AI as a fast but fallible assistant
Ritter urged marketers to approach AI tools as they would an eager intern: fast, productive, and sometimes confidently wrong. "My layer is that expertise layer that says, 'Yes, this is a thumbs up,' or, 'No, this is something that we need to try again,'" he said. The technology has advanced sharply in the past year, particularly in memory and the ability to handle multistep tasks.
Model selection matters. Ritter demonstrated this by asking several AI models whether he should walk or drive to a car wash 50 meters away. Quick-response modes told him to walk, ignoring that the car needed to go with him. "The deep-thinking, reasoning ones drove," he said. He advised matching heavier models to tasks involving reasoning and drafting, and lighter ones to simpler work.
Marketers can follow an AI Learning Path for Marketing Managers to build the judgment needed for these workflow decisions. The goal, Ritter said, is not reducing staff. "To me, it's more and better from the same people who are now less stressed out - better preparation, clearer communication, faster first drafts and hopefully more time to work on the things that we've been putting off."
Start badly and watch what breaks
The biggest obstacle companies face is documenting their own workflows well enough to automate them. Ritter described how his wife, a financial-sector CEO, built an AI agent to manage demands across Outlook, Teams, and her calendar. She began with four sentences: "Act as my chief of staff. Each morning, give me a prioritized daily briefing based on my Outlook calendar, my emails and my Teams messages. Be direct, concise and ruthlessly prioritize."
Rather than writing exhaustive instructions upfront, she watched what the agent missed. In week one, she told it to ignore auto-generated system emails. In week two, to cross-reference email and Teams before flagging anything unresolved. By week three, the agent was scanning her sent items for unfulfilled commitments - messages like "I'll send that over" or "Let me check and get back to you."
"Four sentences at the beginning, eight weeks of iteration, and her prompt now has more than 32 instructions," Ritter said. "She didn't sit down and write it. She discovered it, and that's how we discover our workflows. We watch what breaks." Marketers can apply the same method to retailer correspondence, account preparation, and tracking unfulfilled commitments. "You don't need to know your workflow before you start. You need to delegate it badly, watch what breaks and pay attention."
Generative search rewards facts, not fluff
AI is also changing how consumers find brands. Traditional SEO aimed to push a company higher in a list of search results. Generative engine optimization, or GEO, aims to make a brand part of the answer an AI platform gives the consumer. Ritter cited data showing AI-referred traffic to U.S. retail sites increased 393% between the first quarters of 2025 and 2026, and that 43% of U.S. Google searches now include an AI overview.
"With SEO, the goal was getting in the list. Now the goal is getting named in the answer - getting named in the synthesis," Ritter said. He tested ChatGPT, Claude, and Gemini on which mid-priced upholstery brands and American-made case goods manufacturers an independent furniture store should carry. Rowe and England surfaced consistently in upholstery. Stickley, Gat Creek, Copeland, and Vaughan-Bassett stood out in case goods.
The platforms relied on different sources. ChatGPT drew almost exclusively from manufacturer websites. Gemini weighted how retailers and dealers described a brand. Claude looked heavily at outside commentary, especially trade press. "One good trade story can carry a brand into the answer," Ritter said.
The winning brands shared one trait: a crisp, quotable claim rooted in indisputable fact. Gat Creek products are signed by the builder. Stickley states its domestic production percentage. Vaughan-Bassett identifies its U.S. production, number of craftspeople, and share of locally sourced lumber. Two well-regarded upholstery brands failed to appear in any answer. Their sites used broad language like "built with integrity, crafted with heart" but offered no prominent construction, origin, or warranty details. "The bots completely ignored them," Ritter said. "It needs cold, hard facts and statistics."
He advised marketers to ask several AI tools how they describe the brand, save the answers and sources, and repeat the audit monthly. Product data should be standardized across listings, with construction details, certifications, and warranty terms stated plainly. Brands should also continue SEO efforts and pursue editorial coverage. What they should avoid is stuffing pages with keywords or making unsupported superlative claims. "If a claim wouldn't survive a call from a Furniture Today reporter, we want to pull that out," Ritter said.
Why this matters for marketing professionals
Furniture marketers who learn to delegate tasks to AI - poorly at first, then with growing precision - can reclaim time for higher-value work without waiting for formal IT support or perfect workflow documentation. At the same time, the shift toward generative search means the words on a brand's own website and in trade coverage directly determine whether an AI names that brand to a consumer or ignores it entirely. The brands appearing in AI-generated answers are those that give the machines specific, verifiable facts they can quote.
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