Does having a distinctive brand voice actually help with AI search visibility?

It can. When multiple sources say essentially the same thing in the same generic tone, an AI model has little basis to prefer one over another. A specific, consistent voice makes content easier to recognize, attribute, and ultimately cite, functioning similarly to how a distinctive visual brand helps a human recognize a company at a glance.

What's the difference between "Information Gain" and brand distinctiveness in AEO?

Information Gain is about substance, whether a page adds genuinely new facts or perspective beyond what's already available. Distinctiveness is about expression, whether the way something is said is recognizably specific to one source rather than interchangeable with a dozen competitors. Both matter, and they work together rather than substituting for each other.

Can a business be too different or unusual in its content and hurt its AI visibility?

Chasing novelty for its own sake, a different gimmick every quarter, tends to read as noise rather than genuine distinctiveness. Real distinctiveness comes from repeating one true point of view long enough for people to recognize it on sight, not from reinventing the bit every few months.

How do you build a distinctive brand voice without it feeling gimmicky?

Start by answering real customer questions directly and specifically, in language your team would actually use, rather than hedged, committee-approved phrasing. Repeat that same honest, specific voice consistently across every piece of content over time. Consistency sustained over years is what makes a voice recognizable, not a single clever campaign.

Does answering questions in a more opinionated voice risk alienating customers?

It can alienate people who were never going to be a good fit anyway, which is usually a worthwhile trade. A specific, honest answer, including clearly saying what you're not the right choice for, tends to build more trust with the right audience than a vague answer built to avoid offending anyone.

Why do generic, safe answers perform worse in AI search results?

Generic answers are, by definition, interchangeable with many other sources saying the same thing, which gives an AI model little reason to prefer one over another. A model choosing what to cite tends to favor sources that are specific, clearly attributable, and distinguishable from the general consensus already available elsewhere.

The value of distinctness; Thank you, Dolly

Dolly Parton died this week

In the days after, alongside the grief, I watched an entire genre of writing show up almost instantly: think pieces about her as a branding genius. Not her music, though there was plenty of that too. Her deliberate, decades-long construction of an image so specific that people who couldn't hum a single one of her songs could still pick her silhouette out of a lineup.

Rory Sutherland wrote about her this week and used a phrase worth keeping: the value of distinctness. It's exactly what I've been telling clients for years, just said in the most Rory way possible, tied to a woman who spent six decades being impossible to confuse with anyone else.

She understood something most marketing departments still don't

The story I keep coming back to: Parton called her own look manufactured, out loud, decades before anyone accused her of it. The big wig, the rhinestones, the exaggerated everything, she got there first, made the joke herself, and kept wearing it for sixty years without ever softening it into something more tasteful or more palatable to whoever was uncomfortable with it that decade. She once entered a Dolly Parton lookalike contest. She lost. She thought that was funny, and told the story herself, repeatedly, because owning your own narrative is a lot more powerful than hoping nobody brings it up.

There's a smaller, quieter story worth knowing too. When Elvis Presley wanted to record "I Will Always Love You," his camp asked her to sign over half the publishing rights, standard practice for an Elvis cut at the time. She said no. She kept the song. It cost her the version that would have made her more money faster, tied to a bigger, safer name. She bet on her own voice being worth more over time than someone else's borrowed authority, and she was right by a margin that's hard to overstate.

She could have sounded like Elvis's writer. Instead she spent sixty years sounding like nobody but herself.

That's the story that got me thinking about what we actually do here all day.

And this leads me to hopefully not sounding like all the other marketers who are having the same epiphany

I'll say the practical part plainly instead of dressing it up. When an AI model decides what to cite in answer to a question, it's usually choosing between several sources saying roughly the same thing, in roughly the same corporate-safe register. "We pride ourselves on quality and customer service." "Our team is dedicated to excellence." I read some version of that sentence on nearly every client's site before we start working together. Ten businesses, ten copies of the identical line, none distinguishable enough to justify picking one over the others.

That's the moment distinctness stops being a line in a brand deck and starts being a retrieval advantage. A specific, memorable way of answering a real question gives a model, and a human reader, something to hold onto and attribute. An earlier piece here covered a related but separate lever, whether a page adds new information to what's already out there. Distinctness is about voice: whether the way you say something is recognizably, unmistakably yours, the way a Dolly Parton silhouette is unmistakably hers, no caption required.

Owning the joke before someone else writes it for you

Parton's other trick was pre-empting the criticism in her own words before a critic got the chance. Cheap wig jokes, plastic surgery jokes, dumb blonde jokes, she made them first, better, and funnier than anyone attacking her ever managed to. That took the weapon away from people trying to use it against her.

I see the opposite constantly. Clients hedge every real question into vague safety, worried a direct, specific, maybe slightly pointed answer will offend someone. But a direct answer, delivered in your own voice, including the parts where you say plainly what you're not a fit for, reads as expertise. A hedged answer reads as nothing, and nothing doesn't get cited.

The bow-and-arrow problem

Strategy over trends is one of our core values, so this part matters to us more than the rest of the piece. Watch enough restaurant accounts and you'll see the same fifteen seconds repeated hundreds of times: someone mimes pulling back a bow and arrow, the video cuts, and a plate of food has appeared where their hands were. It works, briefly, for whoever posts it that week, then evaporates the moment the sound trend does. Nobody remembers whose bow-and-arrow video it was.

Compare that to a silhouette sixty years old and still identifiable with no name attached. One is trend-chasing. The other is a business, or a person, that made one true decision and kept it long enough for the decision itself to become the recognizable thing. A business jumping to the next dance routine every time the algorithm shifts isn't being distinctive. It's borrowing someone else's fifteen seconds of attention and handing it right back.

You can't optimize your way into being unmistakable

We say this often enough that it's practically painted on the wall here: you can't optimize your way into being talked about. Optimization can get you technically correct, technically fast, technically compliant with whatever the current algorithm rewards. None of that makes you recognizable. Recognizable is a decision, repeated for years, the same way Parton made hers, and neither a search engine nor an AI model can manufacture it for you if you haven't made it yourself.