The short version
- Content reads like SEO content when the writer had no material and used structure to hide it. The emptiness is structural, not stylistic.
- Three sources of substance and no others: someone who has done the thing, data you own, or a position a competent person could argue with.
- Answer the query in the first hundred words. 44.2% of AI citations come from the first 30% of a page.
- The test: take a paragraph from the middle. If it could appear word for word in a competitor's article, send it back for interviews.
The reason most SEO content reads badly is not that the writer optimised. It is that the writer had no material to work with and used structure to hide it.
You can always tell. The article restates the question in the first paragraph, defines the term in the second, offers a numbered list of considerations in the third, and finishes with a paragraph about how the right choice depends on your unique needs. Nothing in it could only have been written by someone who has done the work.
Ranking and being worth reading are not opposed. They come apart when the production process has no source of substance in it.
Where does substance come from?
There are three sources and no others.
| Source | What it produces | Why a competitor cannot copy it |
|---|---|---|
| Interview with someone who did the work | Specifics, offhand detail, real sequence | It is not published anywhere |
| Your own data | Numbers nobody else has | They do not have your numbers |
| A position | Something arguable | Copying it means conceding it |
Someone who has done the thing. An interview, recorded, with the person on your team who has run this process forty times. Twenty minutes gets you more usable material than a day of desk research, and the specifics they mention offhand are the parts readers quote.
Your own data. Anything you can count that nobody else can. Support ticket categories, average time to onboard, the distribution of deal sizes. First-party numbers are the strongest reason for someone to link to you, and the one thing a competitor cannot copy next month.
A position. A view a competent person in your field could argue against. If every claim in the piece is agreeable, the piece is a summary, and summaries are exactly what a language model produces for free.
An article with none of these will read like SEO content no matter how naturally it is phrased, because the emptiness is structural.
If every claim in the piece is agreeable, you have written a summary.
How should it be structured?
Use subheads that carry the argument rather than label the section. A reader skimming your subheads should get the thesis.
Answer the query in the first hundred words. Not a preamble about why the topic is important. Roughly 44 percent of AI citations pull from the first 30 percent of a page, so the first screen carries most of the extraction value.
Keep the paragraph short and the sentence varied. The rhythm of an unedited draft is the most reliable tell there is.
What should be cut?
The introduction that explains what the article will cover. Nobody reads it and it delays the answer.
Every sentence containing “in today’s fast-paced” or “it is important to note.” Throat-clearing.
Any list item duplicating another with different words. Long lists usually contain two or three real ideas padded to seven.
The conclusion that summarises what you just said. End on the strongest specific point instead.
What about keywords?
Put the phrase in the title, the first paragraph, and one subhead if it fits naturally. That is the whole technical requirement in practice.
The rest of the ranking work is topical coverage, internal links, and whether anyone finds the page worth linking to. Writers who worry about density are solving a problem that stopped existing years ago. Writers who worry about whether the page says anything are solving the one that remains.
The test
Take any paragraph out of the middle of the draft. Could it have appeared, nearly word for word, in a competitor’s article on the same topic?
If yes for most paragraphs, the piece will rank briefly at best and convert badly, because the reader learns nothing that makes them trust you more than the other nine results. Send it back for interviews. The brief that prevents this is in the SEO brief that works.
Frequently asked questions
Why does SEO content read badly?
Because the writer had no source material and used structure to hide it. The article restates the question, defines the term, offers a numbered list, and closes on how it depends on your unique needs. Nothing in it could only have been written by someone who did the work.
How do you make SEO content worth reading?
Give it one of three sources of substance: an interview with someone who has done the thing, first-party data nobody else has, or a position a competent person in your field could argue against. Without one of those, the piece is a summary.
Does keyword density still matter for ranking?
No. Put the phrase in the title, the first paragraph and one subhead if it fits naturally. That is the whole technical requirement in practice. The rest is topical coverage, internal links, and whether anyone finds the page worth linking to.
How should an SEO article be structured?
Answer the query in the first hundred words rather than opening with a preamble, use subheads that carry the argument instead of labelling sections, and keep paragraphs short. Roughly 44 percent of AI citations come from the first 30 percent of a page.
What should be cut in the edit?
The introduction explaining what the article will cover, any sentence containing 'in today's fast-paced' or 'it is important to note', duplicate list items padded to reach seven, and the conclusion that summarises what you just said.
How can you tell if content will rank and convert?
Take a paragraph from the middle of the draft and ask whether it could have appeared, nearly word for word, in a competitor's article on the same topic. If yes for most paragraphs, it will rank briefly at best and convert badly.
Sources
- Chua Network delivery data across 8 client accounts (internal fact bank)
- GEO study, Princeton, Georgia Tech, Allen Institute for AI and IIT Delhi, KDD 2024