Ghost content is the trap. You probably know you’re in it. Here’s how to get out.
Ghost content is content that technically functions — it gets published, maybe it ranks, it has the right keywords, the right length, the right metadata — and it doesn’t build anything. No brand authority. No reader trust. No citations. No conversions worth tracking. It exists in the archive like a record of work done, and it does nothing.
Most content writers have produced it. Most of them knew, while they were producing it, that something was off. The topic felt thin. The angle felt borrowed. The piece felt like the forty other pieces on the same subject, which it was, because the brief said “write about [topic]” and there was nothing in the brief that required saying something specific about it.
That feeling is the signal. It’s your editorial judgment telling you the strategy is wrong — that this piece, as specified, is not going to do anything useful when it’s published. Most content writers suppress that signal and write the piece anyway, because the client wants it and the deadline is Friday and nobody asked for your opinion on whether the piece was worth writing.
Your opinion on whether the piece is worth writing is the most valuable thing you have.
What makes content a ghost
Ghost content has one defining characteristic: it could have been published by any competitor without changing a word. The brand name could be swapped out. The logo could be replaced. Nothing in the piece is specific to this company’s experience, this company’s position, this company’s data, or this company’s point of view. It is generic coverage of a shared topic, produced because the keyword existed and the content calendar needed filling.
It is also, increasingly, exactly what AI produces at scale — and this is the thing worth sitting with. The content operations that adopted AI production workflows to increase volume are discovering that what they increased was the rate of ghost content production. AI is very good at producing syntactically correct, contextually plausible, completely interchangeable coverage of shared topics. That’s what ghost content is.
The solution is not to avoid AI. The solution is the editorial standard that determines what is worth producing — the standard the AI is supposed to support, not replace. The editorial standard is the writer’s judgment about whether a piece is worth writing, and that judgment cannot be automated.
The question that gets you out
Getting out of the ghost content trap requires asking one question before you write anything: what is this piece going to say that couldn’t be said by any other piece on this topic?
If you can’t answer that question from the brief you’ve been given, the brief is wrong. That’s a diagnosis, not a judgment about the client or the agency. The brief needs a specific angle, a named position, something only this brand can say based on their experience, their data, or their point of view. Without that, you’re producing words that cover a topic. With it, you’re producing content that earns a reader’s trust.
The search environment has made this distinction concrete. AI systems cite content that says something specific enough to be attributed to a source. Content that covers a topic without holding a position gets used in AI answers without attribution — absorbed into the synthesis, unnamed, invisible. The ghost is literal now. Content without a position is content without a citation, and content without a citation is content that builds nothing even when it ranks.
The writer who refuses to produce ghosts
The writer who can recognize ghost content, name it out loud, and refuse to produce it is the writer every agency and brand needs right now. Not because they make the client’s life easier — they don’t, not immediately, because they ask harder questions — but because they produce the only kind of content that performs in the current environment.
That writer is also the writer who won’t be replaced by AI. AI produces ghost content at scale. The human judgment that says “this is a ghost, and we need a real piece instead” is the judgment that gives AI something worth producing.
You already know when you’re writing a ghost. The feeling you’ve been suppressing is correct.
Start asking the question. Start writing the brief that answers it. Start naming what you’re doing as strategy — because it is, and because the writers who name it are the ones who get to keep doing it.
Jacob Clifton is the principal of Clifton Creative Agency — content strategist, editor, and writer with 25 years of professional experience. Helped Television Without Pity reach one million readers a week. Built Gawker’s Morning After and Tribune’s Screener to one million monthly readers. He coined “ghost content” and has been naming it in content operations of every size ever since.
The full ghost content argument — including why volume-first content strategies produce it at scale — is at Stop Publishing More Content. If your content operation is full of ghosts and you want to know how many, a content audit is where that starts.
Ghost content is content that technically functions — it gets published, may rank, has correct keywords and metadata — but builds nothing. No brand authority, no reader trust, no AI citations, no conversions. Its defining characteristic is that it could have been published by any competitor without changing a word. It exists in the archive as evidence of production, not as evidence of strategy.
The signal is the feeling that something is off — the topic is thin, the angle is borrowed, the piece is one of forty on the same subject with nothing specific to this brand. Most content writers recognize this feeling and suppress it because the deadline is Friday and the brief is what it is. That feeling is editorial judgment correctly identifying that the strategy is wrong. It’s the most reliable indicator that the content will do nothing useful when published.
The difference is a named position. Content that performs says something specific enough to be attributed to this source — it has a point of view, a conclusion, a claim that comes from this brand’s experience or data or expertise. Ghost content covers a topic without holding a position. AI systems cite the first and absorb the second anonymously. Readers trust the first and forget the second.
Because AI is very good at producing syntactically correct, contextually plausible, generic coverage of shared topics — which is exactly what ghost content is. Content operations that adopted AI workflows to increase volume increased their ghost content production rate. The solution is not to avoid AI but to apply the editorial standard that determines what is worth producing before any production begins.
Ask one question before writing anything: what is this piece going to say that couldn’t be said by any other piece on this topic? If you can’t answer that from the brief, the brief is wrong. Push back, add the strategy layer, or refuse the piece. The answer to the question is the editorial work — the named position, the specific claim, the thing only this brand can say — that turns a ghost into a piece worth publishing.