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AI Search visibility is no longer won by publishing more content. It is won by publishing content nobody else could have written.
Every marketing team now has ChatGPT, Gemini, and Perplexity, and the result is a flood of near-identical articles on every topic imaginable. If your content says the same thing as everyone else’s, there is no reason for an AI platform to pick yours. Distinctiveness has become the deciding factor in whether your brand gets cited at all.
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Why AI Search Visibility Now Depends on Being Distinctive
Charlie Marchant, CEO of Exposure Ninja, opens with the uncomfortable question every content team should be asking on her latest episode of Charlie Explains AI Search:
“Now that everyone has access to ChatGPT, Gemini, Perplexity and these AI tools, there is a sea of AI-created content out there on every imaginable topic. So why should Google or AI reference your content when it’s just the same as someone else’s content?”
If the answer to a query already exists in a hundred versions, an AI platform has no reason to surface yours. That is the real threat to AI Search visibility: not that you are invisible, but that you are interchangeable.
For marketing leaders, the shift is commercial. Interchangeable content earns no citations, no referrals and no pipeline. Distinctive content is what earns a place in the answer.
The McKinsey Filter: Different, or Deeper
The framework comes from a conversation with Daphne Luchtenberg from McKinsey, one of the largest thought-leadership publishers in the world. Charlie Marchant explains the filters that decide whether a piece is worth publishing:
“Is your content, number one, different or distinctive in some way from what someone else has to say? Is it a new topic? Number two, if it’s not, can you go neater or deeper?”
The first test is originality. The second is the one most brands skip: if the topic already exists, earn your place by going neater or deeper. She sets out what “deeper” actually looks like:
“Can you summarise and clearly frame this topic in a way that feels different to the reader, or do you have some personal experience to add? Do you have anecdotes? Do you have fresh or new data, or do you have case studies or different perspectives that can create an interesting story around this same topic that’s already published on?”
Original data, first-hand experience, sharper framing, and real case studies are not “nice to have” for visibility in AI Search. They are the raw material AI platforms use to decide who is worth citing.
Is your content different or distinctive in some way from what someone else has to say? And if it’s not, can you go neater or deeper? Can you summarise and clearly frame this topic in a way that feels different, or do you have personal experience, anecdotes, fresh data or case studies that create an interesting story around a topic that’s already published on?
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Why AI Answers Reward Distinctive Content
There is a structural reason distinctiveness works, and it sits in how AI answers are built. Charlie Marchant explains:
“Why this works for AI is because AI answers are personalised. We all search for the same thing in slightly different ways.”
She illustrates it with a single product and two very different buyers:
“One person searching for running shoes might do so very differently from another. Whilst one might be looking for long-distance marathon shoes and have problems with plantar fasciitis, another might actually care a little bit more about brand, look and style.”
“Even though both of them want to buy running shoes, the answers that they’re getting from ChatGPT and AI are going to be different based on that.”
Because AI tailors its answer to the person asking, there is not one slot to win. There are many, one for each version of the search journey. Broad, generic content maps to none of them cleanly. Distinctive content built around a specific need, buyer, or point of view maps directly to the journeys that matter most to your customers.
How to Build AI Search Visibility Into Your Content
The practical takeaway is to stop competing on volume and start competing on fit. Map the real search journeys your customers take, then build content distinctive enough to be the best answer for each one. Charlie Marchant frames the goal clearly:
“You want to have distinctive content that matches up to the different search journeys that are most relevant for your customers so that they’re actually getting the answer from the person who really has it.”
That is how you move from being one of a hundred interchangeable sources to being the source an AI platform reaches for.
If you need help creating content that stands out on both Google and AI Search, book a consultation call with the Exposure Ninja team today.
