Why Every Brand's Take on the Same Event Sounds Identical — and How to Have One Worth Reading
When something big happens in a category, forty brands publish the same post within a week. The sameness isn't a writing problem — it's a sourcing problem. What produces commentary anyone would actually finish.
By Robin Deane — Founder & Marketing Strategist, RD
When a significant event happens in a category, most brands respond by summarising it and appending three generic implications — which is why forty posts published that week are functionally interchangeable. The sameness is not caused by bad writing or by AI; it is caused by every brand drawing on the same source material, which is the public account of the event itself. A take is only differentiated if it contains something the reader cannot get from the event coverage: your own data, a pattern you can see because of what you do, a position you are willing to be wrong about, or a consequence nobody else is close enough to notice. If a post could be published under a competitor's logo with no edits, it has no informational reason to exist — and readers, who have already seen six versions of it, sort this out in about four seconds.
Something notable happens in your category. Within seventy-two hours, the posts start: a recap of what happened, a paragraph of context, three bullet points beginning "what this means for marketers," and a closing line about how the landscape is evolving. By the end of the week there are forty of them. They are not badly written. Several are quite polished. They are also, in every way that matters to a reader, the same post.
This is worth understanding precisely, because the usual explanations are wrong. It is not that everyone is using AI — this pattern long predates the current tooling, and plenty of the identical posts are entirely human-written. It is not that writers are lazy. It is that forty organisations sat down to write about the same event with access to exactly the same information, and produced the only output that input allows.
Why Does Commodity Commentary Happen So Reliably?
Because the sourcing is identical, and output cannot be more differentiated than input.
When a brand decides to publish a reaction, the research process is typically: read the announcement, read two or three news write-ups, skim what a few analysts said, then write. Every competitor is running the same process against the same sources in the same week. The differences between the resulting posts are stylistic — a different metaphor, a different structure, a slightly better headline — while the substance underneath is a shared summary of a public document.
Style differentiates the reading experience. It cannot differentiate the information, and information is what the reader came for. A reader who has already seen four versions of the same summary is not looking for a fifth with better sentences.
There is a second, quieter reason: the summary is safe. It contains no claim anyone could disagree with, which means it requires no internal argument to publish, no evidence to defend, and no risk of being wrong in public. The generic post is the path of least organisational resistance, and organisations reliably take it.
What Actually Makes a Take Differentiated?
Definition: A proprietary angle is a claim you can make that a competitor cannot make honestly, because it rests on something you have and they do not — your own data, your operating experience, your customer base, or a position you are willing to defend. It is the only durable source of differentiated commentary. Everything else — tone, format, design, publishing speed — affects how the take is received, not whether it is worth receiving.
There are four reliable sources, and most organisations have at least one without realising it.
| Source | What it sounds like | What makes it hard to copy |
|---|---|---|
| Your own data | "Across the accounts we manage, this metric moved 18% in the six weeks after the change" | Nobody else has your dataset, and the number is checkable against their own experience |
| Operating experience | "We've now run this migration eleven times; the step everyone underestimates is the third one" | Pattern recognition that only comes from repetition, not from reading about it |
| A defensible position | "The consensus reading of this is wrong, and here is the specific reason" | Requires being willing to be publicly incorrect, which most organisations avoid |
| Second-order consequence | "The obvious effect is X, but the one that will actually cost you money is Y, eighteen months out" | Requires knowing the domain deeply enough to see past the headline implication |
Notice what none of these require: privileged access, a research budget, or being first to publish. They require having done the work and being willing to say something specific about it.
How Do You Tell Whether Your Draft Is Generic?
Four tests, in increasing order of severity. The first one catches most of it.
The logo swap. Replace your logo and byline with your closest competitor's. Does anything now read as false? If the post remains entirely accurate under their name, you have written a summary, not a take. This test is brutally effective and takes ten seconds.
The disagreement test. Find the sentence in your draft that someone informed could reasonably argue with. If there isn't one, you have not made a claim — you have described a situation. Descriptions are not memorable and do not get cited, by humans or by the AI systems increasingly mediating discovery.
The subtraction test. Delete every sentence that summarises the event itself. What remains is your actual contribution. If it is two bullet points, the post is a recap wearing a thought-leadership jacket, and the honest fix is to make those two points the whole piece.
The specificity test. Count the concrete nouns and numbers that came from your own work rather than from public coverage. Zero is the common answer and the diagnostic one.
What Should You Do When You Have Nothing Proprietary to Add?
This is the important question, and the answer most content calendars refuse to accept: publish nothing.
The reflex to respond to every category event comes from a fear of looking absent, but absence is invisible while a redundant post is visible. Nobody has ever noticed a brand's silence on a topic. Readers do notice the sixth identical summary, and what they learn from it is that this source does not reliably contain new information — which is an expensive lesson to teach the exact audience you are trying to build authority with.
There are better uses of the same effort:
- Wait and cover the aftermath. Almost nobody writes the follow-up three months later about what actually happened, and by then you will have real observations. The competition for that piece is close to zero.
- Cover the part that requires your specific expertise. If forty posts cover the strategic implications and none cover the operational or compliance detail because it is harder, that gap is yours.
- Publish the internal answer. If clients are asking you the same question about the event, your genuine answer to them — specific, caveated, occasionally inconvenient — is more useful than anything written for a general audience.
Does AI Make This Worse?
It changes the economics rather than the nature of the problem. Generic commentary was always cheap to produce; it is now nearly free, which means volume rises and the generic tier gets more crowded. The practical effect is that the summary post has gone from low-value to actively negative — it competes against an effectively infinite supply of equivalent content and signals that your publishing has no floor.
The corollary is more encouraging. The four proprietary sources above are precisely the things a language model cannot generate, because they depend on data and experience that exist inside your organisation and nowhere else. As the generic tier inflates, the relative value of specific, sourced, defensible commentary rises. This is covered in more depth in our piece on AI slop and the trust collapse, and the production side — how to use AI without landing in the generic tier — in brand voice at scale.
What Does This Change About How You Plan Content?
- Identical takes are a sourcing problem, not a writing problem — forty brands reading the same three sources will produce forty versions of the same post
- Style differentiates the reading experience; only proprietary information differentiates the substance
- The four reliable sources of a real angle are your own data, your operating experience, a position you'll defend, and a second-order consequence others can't see
- The logo swap test settles it in ten seconds: if it reads as true under a competitor's name, it isn't a take
- The generic post is popular internally because it's safe — no claim, no evidence needed, no risk of being wrong
- When you have nothing proprietary to add, publishing nothing is the correct answer; silence is invisible, redundancy is not
- The uncovered aftermath three months later is usually more valuable than the crowded immediate reaction
- AI hasn't created this problem, but it has made the generic tier free to produce and therefore worthless to compete in
The planning implication is that "we should have a point of view on this" is not yet a brief. The brief starts when someone can name which of the four sources the piece will draw on. If nobody can, the item should come off the calendar rather than get assigned — because a writer handed a topic with no proprietary input will produce the summary, correctly, since that is the only thing the input supports.
This is a small change in a planning meeting and a large change in what gets published over a year. Our content and brand service is built around finding those angles inside what a business already knows, and our use case on producing AI content at scale without the slop covers the production system that keeps volume from collapsing back into the generic tier. Where you do have a proprietary angle, content repurposing at scale covers how to get a month of material out of it without the result reading as recycled.
Frequently Asked Questions
Why does every brand publish the same take on major industry news?
Because they all research it the same way — reading the announcement and a handful of news write-ups — and output cannot be more differentiated than input. Forty organisations drawing on identical public sources in the same week will produce forty functionally identical posts, regardless of writing quality. The differences that remain are stylistic, and style does not differentiate information.
How do you tell if your content is generic before publishing it?
Swap your logo and byline for a competitor's. If the piece is still entirely accurate under their name, it contains nothing proprietary and is a summary rather than a take. A supporting check: find the sentence an informed reader could reasonably disagree with. If there isn't one, you have described a situation rather than made a claim.
What makes a brand's point of view genuinely differentiated?
One of four things: your own data, operating experience from having done something repeatedly, a position you are willing to defend and potentially be wrong about, or a second-order consequence you can see because of domain depth. These are difficult to copy because they rest on what your organisation has rather than on what it read.
Should you respond to every major event in your category?
No. If you have no proprietary angle, publishing nothing is the better option. A brand's silence on a topic goes unnoticed; a redundant summary is visible and teaches readers that your publishing does not reliably contain new information. Better alternatives include covering the aftermath months later, when competition is minimal, or covering the specialist angle everyone else skipped.
Has AI made commodity content worse?
It has changed the economics rather than the underlying cause. Generic commentary was always cheap; it is now close to free, so the generic tier is far more crowded and competing in it is no longer viable. The upside is that proprietary data, operating experience, and defensible positions are exactly what a language model cannot produce, so their relative value has risen.
What if your organisation genuinely has no proprietary data?
Most have more than they think — patterns across clients, outcomes from repeated projects, questions customers keep asking, or things that reliably go wrong. None of that requires a research budget. If a genuine audit finds nothing, the honest answer is that commentary is the wrong format for now, and the effort is better spent on content built from operating expertise, such as practical guides, rather than on takes.
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