Text Coherence: Why It's More Important Than Keyword Density
Coherence is how well the text holds together as a whole: sentences connect to each other, paragraphs develop a single idea rather than jumping between topics. Formally, this is measured through the repetition of vocabulary between adjacent fragments. You can check it with the coherence analyzer.
Why This Is More Important Than Keyword Density
Modern search algorithms evaluate text based on semantic connections rather than the number of occurrences. Torn text, where each paragraph starts a new topic, poorly answers the query as a whole—even if all the necessary words are present. Such text is also inconvenient for the reader: they do not see the logic.
What Destroys Coherence
- Assembly from pieces. Paragraphs written at different times for different queries.
- Lack of transitions. There is not a single common concept between paragraphs.
- Subheadings not by logic, but by keywords.
- Sharp change of level: general reflections mixed with technical details.
How to Fix It
- Make a plan by subheadings and check that it reads like a coherent story without the text.
- At the beginning of a paragraph, mention what the previous one was about—this creates a connection.
- Remove paragraphs that do not develop the topic, even if you feel sorry for them.
- Recheck the result and also look at the readability.
Quick Self-Check
- Read only the subheadings in a row—does it form a coherent plan or a set of phrases?
- Close the first paragraph of each section: is it clear what it is about from the others?
- Find a paragraph that can be removed without losing meaning—it is what tears coherence.
- Check transitions: at the beginning of the section, there should be a word from the previous one.
Where This Is Found in Our Work
Coherence is one of the metrics considered when evaluating machine-generated text: see how to read the AI check result.