More buyers, both consumers and trade professionals, are starting their research with an AI tool instead of a search bar. They're asking ChatGPT to compare tile brands, asking Gemini which lighting manufacturer fits a specific design aesthetic, asking Google's AI Overviews to name the top options in a category. If your product isn't part of that answer, you're not just missing a click. You're missing the moment a buying decision starts to form.
For product manufacturers, this is a new kind of visibility problem, and it's one that a strong ad spend or a polished website can't fully solve on its own.
Here's the mechanic worth understanding: AI search tools generate their answers from the sum of what's publicly available about a brand. That means press coverage, trade features, expert commentary, website content, and product reviews carry outsized weight. A manufacturer with strong distribution but limited press presence can be functionally near-invisible to a buyer using an AI tool to shortlist options, even if that manufacturer is a category leader.
This is a pattern we see with manufacturers who sell through design trade channels as well as direct-to-consumer. The B2B side often has real specifier relationships and trade credibility. The B2C side often has strong retail placement. But if that brand narrative isn't being told consistently through earned media, none of it shows up when an AI model is asked to make a recommendation.
Earned media (PR) works differently than paid marketing in the eyes of an AI model. A press mention, a product feature, an expert quote, these are treated as independent signals of credibility, not brand messaging. The more a product or brand is mentioned across genuinely separate, credible sources, the more consistently it surfaces when someone asks an AI tool for a recommendation in that category.
We saw this firsthand with a manufacturer client of ours in the cabinetry and hardware space. Their product had a strong website, great specifier relationships, but almost no independent press presence, so a lot of that authority simply wasn't visible outside the trade relationships that already knew them. After a sustained run of trade and design press coverage, tied consistently to their core product story and manufacturing capabilities, we saw a measurable shift in how often that brand appeared in AI-generated answers to category questions, not just for the specific products featured, but across the broader category the brand competes in.
That's consistent with the broader trend: coverage secured across multiple outlets, rather than a single hit, has been shown to increase a brand's odds of surfacing in AI search results by as much as 325%.
A few practical takeaways for brands navigating both trade and consumer channels:
Tell one consistent story across channels. If your brand positioning feels disconnected across communication platforms, that inconsistency shows up in how AI models describe you, if they describe you accurately at all.
Trade press is not the lesser cousin of consumer press. For AI visibility, a well-placed trade feature can carry as much weight as a splashy consumer placement. Both are simply signals.
Product news needs a home outside your own site. A launch announcement on your own channels is necessary but not sufficient. The same news, picked up and covered independently, is what actually builds and supports AI-search authority.
Category-level authority matters, not just product-level mentions. Brands that consistently show up in trend pieces and category roundups, not just product reviews, tend to be the ones AI models treat as authoritative voices in that space.
A few practical takeaways for brands navigating both trade and consumer channels:
Tell one consistent story across channels. If your brand positioning feels disconnected across communication platforms, that inconsistency shows up in how AI models describe you, if they describe you accurately at all.
Trade press is not the lesser cousin of consumer press. For AI visibility, a well-placed trade feature can carry as much weight as a splashy consumer placement. Both are simply signals.
Product news needs a home outside your own site. A launch announcement on your own channels is necessary but not sufficient. The same news, picked up and covered independently, is what actually builds and supports AI-search authority.
Category-level authority matters, not just product-level mentions. Brands that consistently show up in trend pieces and category roundups, not just product reviews, tend to be the ones AI models treat as authoritative voices in that space.
AI search is quietly becoming a front door for both specifiers and consumers evaluating manufacturers and products to buy. It rewards brands with a real, independently verified media footprint, and it has little patience for brands relying on their own marketing to do all the talking. Earned media isn't just brand building anymore. It's how you get chosen before the conversation even starts.
If you're curious how your brand currently shows up in AI search, or want to build a media strategy and content engineering with this specifically in mind, we'd love to talk.
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