Pillar 2 of 3

Brand strategy when AI can write anything

When anyone can generate fluent content in seconds, the words stop being the advantage. What is left is positioning and voice, the two things a competitor cannot paste into a prompt.

Illustration: a dense field of identical dark grey discs seen from above with exactly one raised teal disc standing out

Brand strategy is the set of decisions that make your marketing hard to substitute: who you are for, what you refuse to do, and how you sound. AI has not made this less important. It has made it the only part that is still genuinely yours, because everything downstream of it can now be produced by anyone in seconds.

AI makes it easy to sound professional. It does not make it easy to sound like you specifically, or to say something a competitor could not just as easily claim. That gap is where brand strategy still matters, arguably more than before.

The test that shows whether you have one

Take your homepage headline and swap in a competitor’s name. If it still reads as true, it is not positioning, it is category description. Most B2B homepages fail this, which is why so many of them are interchangeable once you remove the logo.

The second test is quieter and harder. Ask what you have decided not to do, and who you are explicitly not for. Positioning is subtraction. A brand that serves everyone is legible to nobody, and AI makes this worse, because a model optimises for inclusion and will happily add back every audience you deliberately removed.

The three layers, in the order they matter

1. Positioning. The claim that is true, provable and rare. Two of the three is common and worthless: true and provable but not rare is a category description, rare but not provable is a slogan.

2. Voice, written down. Not adjectives. Adjectives like “friendly, professional, bold” survive no contact with a real draft, because every writer and every model reads them differently. Voice becomes usable when it is written as spectrums and before-and-after examples that show a rewrite in both directions.

3. Consistency where you do not control the surface. Increasingly your brand is described by something you did not write: an AI answer, a summary, an aggregator. That description is built from what is written about you across the web, so it can be shaped, but only deliberately.

Why this is now urgent rather than important

The gap between a brand with written positioning and one without used to show up over years, in slow drift. It now shows up in weeks, because volume went up tenfold and every unwritten rule gets re-improvised on every piece. A brand that was merely inconsistent in 2023 is incoherent at ten times the output.

The guides below cover both halves: finding real differentiation rather than a different tagline, and then holding that voice everywhere AI touches your content, including the places you do not directly control.

Common questions

What is brand strategy?

The set of decisions that make your marketing hard to substitute: who you are for, what you refuse to do, and how you sound. Everything downstream, campaigns and content, is execution of those decisions.

Does brand strategy still matter now that AI can write anything?

More than before. AI collapsed the cost of producing fluent content, so fluency stopped being a differentiator. What is left is the part a competitor cannot paste into a prompt, which is positioning and a voice that is actually written down.

How do I make AI write in my brand voice?

Stop describing the voice in adjectives and write it as spectrums with before-and-after examples. “Friendly and professional” means something different to every writer and every model. A rewritten sentence shown in both directions does not.

How do I know if my positioning is real?

Swap a competitor’s name into your homepage headline. If it still reads as true, it is category description rather than positioning. Then ask who you are explicitly not for, because positioning is subtraction.

Can I control how AI tools describe my brand?

Partly, and deliberately rather than by hoping. AI descriptions are assembled from what is written about you across the web, so a single canonical description repeated everywhere you own, corroborated where you do not, and backed by schema markup, measurably changes the answer.

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