Get Uncomfortably Specific.

By Libby Boulais

In our last post, we made the case for having five strategic conversations instead of chasing this year’s trend list. We flagged one signal borrowed from the creator economy worth a post of its own: Specificity is outperforming reach. Creators narrowing their focus to impossibly precise premises are winning bigger, more loyal audiences than the generalists ever did. That signal isn’t confined to creators. It’s changing the way B2B content gets found, trusted, and acted on, and it’s the most immediately actionable idea for most brands.

But “specific” cuts two ways, and both matter. There’s specificity in what you say—the sourced, quotable claims that get you found and believed. And there’s specificity in who you’re saying it to—the persona accuracy that makes a reader stop scrolling because, for once, it actually sounds like you’re talking to them. Most B2B content fails at both. Let’s take them in turn.

Specificity of audience: We’re talking to you.

Here’s the counterintuitive part: The way to cut through a sea of sameness isn‘t to reach more people; it’s to talk to one person so precisely that they can’t look away.

Think about how the creators winning right now actually operate. They’re not making content for “people interested in design.” They’re making content for the early-career interior designer who specifies for hospital interiors, decompresses to Love Island, and runs on cold brew. Or, for the mid-career home builder balancing buyer demands against product availability and lead times, who’s coaching travel baseball on the weekends, and answering supplier emails from the bleachers.

None of those details are about the product. All of them are about recognition. When a reader sees their actual life reflected—the specific pressures, the specific trade-offs, the specific Tuesday-night reality—something changes. The content stops feeling like marketing and starts feeling like “They get it. They are talking to me.” That recognition is what earns the next 30 seconds of attention in a feed engineered to steal it.

Most B2B messaging does the opposite. In trying to speak to every architect, every builder, every procurement lead at once, it speaks to no one in particular. “Solutions for building professionals” is technically aimed at everyone and lands on nobody. The wider the target, the blurrier the reflection—and the easier it is to scroll past.

This is exactly why the persona work matters more now, not less. Not the thin, demographic personas of a decade ago, i.e., “male, 35–54, decision-maker,” but rich, behavioral portraits that include what pressures your buyer, what they’re measured on, what they worry about at 2 a.m., and yes, what they watch to decompress. The goal isn’t to mention Love Island in your copy. It’s knowing that detail forces you to write like a human addressing a human, instead of a brand broadcasting at a segment.

The payoff compounds with everything else in this series: Audience-specific content is what makes buyer enablement land (because the buyer sees their exact situation) and what makes creative feel authentic instead of AI-generic (because the algorithm reaching for average never gets this precise).

Specificity of substance: Say something a machine can quote.

The second kind of specificity is about the claims themselves. Here’s the uncomfortable part: Most B2B content is built to avoid becoming too specific. Legal wants claims broad enough to be defensible, without really saying anything. Sales wants messaging flexible enough to fit every possible vertical. Leadership wants copy that “works for everyone.” The result is content engineered to offend no one, convince no one, and create a wall of “industry-leading,” “best-in-class,” and “innovative solutions” that reads the same on your site as it does on your competitors’.

That approach was always weak. Now it’s actively invisible.

Generative Engine Optimization (GEO) has changed what “good content” means, and the data is unusually clear on what’s working. Research on GEO performance found that the most effective tactics for getting cited by AI tools were adding direct quotations (up to a 41% lift), providing specific statistics (a 30–40% lift), and citing credible sources (roughly a 30% lift). Vague, keyword-stuffed copy—the exact content most brand style guides have optimized for over the last decade—actually performed worse than doing nothing at all.

Read that again: Keyword stuffing underperformed a control group. The tactic many teams still default to isn’t neutral. It’s actively working against visibility.

The mechanism makes sense once you think about how these tools work. An AI engine summarizing “best commercial-grade shower valve for high-turnover hospitality installs” isn’t looking for a brand that claims to be “the leader in plumbing innovation.” It’s looking for content specific enough to quote—a number, a named use case, a sourced claim it can lift into an answer with confidence. Specificity isn’t just more persuasive to a human. It’s more citable to a machine.

And this isn’t a niche channel anymore. Ahrefs found that visitors arriving via AI search generated 12.1% of sign-ups despite representing only 0.5% of total site visitors¹—a conversion ratio roughly 24 times higher than typical traffic. When someone arrives at your site because an AI tool already vetted and recommended you, they arrive prequalified in a way that generic organic traffic rarely is.

There’s also good news for the SEO team worried that GEO is a competing priority: BrightEdge research found that earning an AI Overview citation increases adjacent organic click-through rates by 35%.² GEO isn’t cannibalizing traditional search performance—it compounds it. Getting cited builds the same authority signals that improve your standing everywhere else.

What “uncomfortably specific” actually looks like.

This is easiest to see in contrast—and notice that the strongest examples are specific in both senses at once: precise about who they’re for, and precise about what they claim.

Vague: “Our building envelope solutions deliver superior thermal performance for commercial applications.”

Uncomfortably specific: “Our wall assembly reduced thermal bridging by 22% in a 2025 retrofit of a 40-year-old distribution facility, verified by third-party energy modeling—cutting the building’s annual HVAC load by an amount equivalent to 340 households.”

Vague: “Our lab equipment is trusted by leading research institutions.”

Uncomfortably specific: “Used in three of the last five NIH-funded studies on early-stage biomarker detection published in 2025, our platform reduced sample-prep time from six hours to 40 minutes.”

Vague: “Our automation platform helps manufacturers improve efficiency.”

Uncomfortably specific: “A mid-size automotive supplier used our platform to cut changeover time on a single production line from 47 minutes to 12—a change that alone recovered the equivalent of six extra shifts per month.”

Notice what’s happening in all three: The specific version isn’t longer just to be longer—every added word is doing work, replacing an empty adjective with evidence a buyer could actually verify. Pair that substance with a clear picture of who you’re talking to, and you get content that a machine will quote, and a human will recognize themselves in.

Making the shift without rebuilding everything.

You don’t need a content overhaul to start applying this. Just try a few practical moves across both kinds of specificity:

• Write to one person, not a segment. Before drafting, name the specific human you’re addressing—role, pressures, what they’re measured on, what their week actually looks like. If your persona could be anyone, your copy will land on no one.
• Audit your last five published pieces and count the specific, sourced claims versus generic ones—and while you’re at it, ask whether a real reader would recognize their own situation in the copy. Most teams are shocked at both ratios.
• Give every writer and AI tool a “receipts” requirement. Every performance claim needs a number, a source, or a named use case attached before it publishes.
• Push your subject-matter experts for the uncomfortable detail, not the polished summary. The engineer’s offhand “we tested it against the old assembly, and it wasn’t close” is better copy than anything a brand brief will produce.

This is where audience specificity, buyer enablement, and GEO all overlap: The same content that’s precise enough to get cited by an AI engine, and precise enough that a buyer sees their exact situation in it, is exactly what that buyer forwards internally to build their case. Specificity doesn’t just get you found. It gets you recognized—and carried into the room by someone else.

In the next post in this series, we’ll tackle the flip side of specificity: Why showing your work—the process, the mess, the actual thinking—is starting to outperform polished assets, and what that means for how your team plans content for 2027.