When you read someone who writes really well, it's tempting to shrug and say, "Some people just have the gift."
But take it apart and it isn't magic.
Instead of writing that a person is "kind," you have them hand an umbrella to a stranger.
Instead of explaining that someone is "funny," you leave in the odd thing they actually said.
Before the punchline, you don't explain the whole answer. You put one small "wait, why?" in the reader's head for a moment.
And when you bring in research, you don't make the researchers the stars of your text.
Engaging writing isn't writing that piles on more information.
It's writing that makes the reader's brain infer, predict, feel something off, and then get the payoff.
The opposite is explaining everything. The article can be perfectly accurate and still be dead.
What the characters were thinking, why it's funny, where you're supposed to be surprised: the AI says it all up front.
The reader has nothing left to do.
That's less like writing and more like a commentary guy who sits next to the story and narrates it.
1. Don't end a character with an adjective: let readers infer from actions
"He was kind."
That's fast as information. But it's flat.
Now try this instead:
- He handed an umbrella to a stranger on a rainy day
- Right after, he gave some other weird reason for doing it
- When meeting friends, he complains without holding back
Now the reader starts thinking on their own.
"Is he kind, or just cheeky? What is this guy?"
That's where a character gets dimension.
In psychology, there's a long line of research on "spontaneous trait inference," where people automatically infer personality traits from other people's behavior. A 2022 systematic meta-analysis pooled 86 papers and 13,630 people, and the average effect fell in the medium-to-large range. [1]
In other words, rather than sticking a "kind" label on someone, showing behavior that implies kindness lets readers build the picture themselves.
That said, don't turn "Show, don't tell" into a religion.
In a practical how-to article, you don't need to open every explanation of a system by describing the twitch of a clerk's eyebrow.
Use it when the person or thing itself is part of what makes the article worth reading.
2. In dialogue, save the "voice," not just the information
"He thought he was pretty popular."
And:
"I'm actually pretty popular, you know."
Meaning-wise, they're close.
But the feeling you're left with is completely different.
Experiments suggest that direct speech triggers a more vivid mental simulation of sound and rhythm than indirect speech, even when you read silently. [2] There's also research showing that people remember the exact wording of what was said better when it's presented as direct speech. [3]
So a line of dialogue carries all of these at once:
- What was said
- How close the speaker felt to the listener
- The tempo that person lives at
Summarize everything and the meaning survives, but the "voice" disappears.
Of course, keeping all the dialogue isn't the answer either. That just gives you meeting minutes.
The lines most worth keeping are:
- Lines that reveal the character
- Lines that set up the punchline
- Lines that trigger what happens next
- Lines that change the distance between people
Dialogue isn't data. It's the character's soundtrack.
3. Don't rush to tidy up contradictions: squeezing someone into "a kind person" kills information
People aren't consistent.
Kind, yet condescending.
Rational, yet weirdly particular about certain things.
Sloppy, yet oddly careful about one thing.
AI loves to tidy up this kind of conflicting information.
"Overall, he was a kind and confident person."
Suddenly it reads like an HR performance review form.
Research on person memory reports that behavior that goes against expectations can trigger extra processing and, under certain conditions, be remembered better. [4] But some studies show that expectation-consistent information can have the advantage, so contradiction isn't a universal law that always strengthens memory.
So the rule isn't "add contradictions."
If the original event has an interesting contradiction, don't let the AI's summary wipe it out.
The moment you can no longer describe someone in one line, they sometimes start to feel more human.
4. Choose concrete details by the "work" they do, not by how many there are
Engaging writing is full of concrete things.
A watch.
Short sleeves.
An umbrella.
Perfume.
A sofa that looks expensive.
Premium ice cream.
But hand "be specific" to an AI as-is, and you get:
The walls were white.
There were four chairs.
The lighting was warm.
The table was made of wood.
That's a checklist for a property viewing.
The "concreteness effect," where concrete words are processed and remembered better than abstract ones, is well known. [5] But that doesn't mean more description is always better.
A concrete detail worth keeping is doing some job:
- It shows who the person is
- It moves the scene along
- It signals status or circumstances
- It creates a sensation
- It sets up a later joke
- It pins down a fact
If it fits none of these, you can cut it.
Details aren't furniture. They're cast members.
5. Readers split text into "events" as they read
When you read a story or a personal account, you don't store the text evenly, character by character.
"Meeting up."
"Heading to the restaurant."
"Talking."
"Going home."
"Something happens at the end."
You make sense of it by chopping it into events like these.
Research on event cognition has shown that people spontaneously segment continuous experience into meaningful events, and that the boundaries between them are linked to how memory gets organized. [6][7]
Moreover, a meta-analysis combining more than 75 samples and over 33,000 people found that, on average, narrative text was easier to understand and remember than expository text. [8]
What matters here isn't only "what happened."
It's what the reader knows at that moment.
Every piece of writing has:
- What the reader already knows
- What the reader expects
- What they don't know yet
- What the next event will update
Just because only the author knows the answer doesn't mean you should explain everything up front.
6. Suspense isn't about hiding things: it's about creating a "what next?" state
For example:
He left.
The door should have shut.
But it didn't.
There was no sound.
Here, a small unfinished item appears in the reader's mind.
"Why?"
Then the door opens, and the meaning of what he did changes.
Research on suspense has shown that the expectation of how upcoming information will update your predictions explains much of the moment-to-moment feeling of suspense. [9]
The point isn't "hide the information."
If you hide the answer in a practical article, people just get annoyed.
- How-to articles: answer early
- Medical, legal, financial, and safety topics: the most important points first
- Personal essays and humor pieces: give the reason to read early, and save the punchline for later if needed
That's enough.
If you slap "the conclusion in 5 seconds" on every article, you get something like printing the culprit on the cover of a mystery novel.
And if you drag things out without telling the reader anything, that's just teasing.
What you should disclose is the "reason to read." What you can hold back is the answer that creates the fun of reading.
7. Humor doesn't work just by "dropping in something weird"
Throwing in a nonsense word doesn't make anything funny.
The reader thinks,
"Why did that come up?"
and then,
"Oh, I get it."
It's the moment those two connect that the laugh can happen.
Humor research has looked at stages like expectation, detecting the incongruity, resolving the incongruity, and evaluating how funny it is. [10] An ERP study (a brain-wave study) using Japanese wordplay riddles called "nazokake" also found that subjective funniness was tied to the resolution stage rather than to mere detection of the incongruity. [11]
So there are two worst-case patterns for a humor piece.
The first one.
Delete the scene that caused it and keep only the funny word.
Reader: "Why?"
Article: "That's all."
The second one.
The joke has already landed, and then you write,
"What's important here is that, in context, this metaphor..."
for three paragraphs.
Reader: "I got it already. Let me go home."
What you need is
setup → incongruity → connection → punchline → a callback if needed.
Sometimes a joke does need explaining.
But once the explanation is longer than the joke, the surgery was a success and the patient is dead.
8. Don't let the AI flatten the contrast between a long explanation and a one-line retort
Engaging writing doesn't need to be funny from start to finish.
Sometimes it's stronger to have a plain stretch of text:
A long conversation.
An explanation.
Reasoning.
Reasoning.
More reasoning.
and then one short reaction like
"What is this person even talking about?"
In literary studies, the idea of "foregrounding" holds that unpredictable expressions and stylistic standouts slow reading down and strengthen attention and impression. [12]
That said, don't turn this into some mysterious writing ISO standard like "after 40 characters, retort in 10."
This isn't a numerical rule. It's a matter of rhythm.
AI editing tends to make text uniform.
Every sentence the same length.
Every sentence the same politeness.
Every passage the same density.
The result is correct, but sleepy.
Writing needs ups and downs too. Level everything and you get a highway, but you lose the tourist attraction.
9. "Make the ending the biggest peak" is not a universal law
A common line in writing advice:
"People only remember the peak and the end, so make the ending the biggest moment."
It isn't that simple.
The peak-end rule has been confirmed for some kinds of experiences. But there's research showing that for complex, varied experiences, things like the average emotional rating predict how people evaluate it afterward better, and the rule is hard to generalize. [13][14]
So it's better not to write into an article-production rulebook,
"The ending must always carry the strongest emotion."
Instead, just one rule.
After the payoff, don't water it down with a meaningless wrap-up.
A great punchline.
↓
"To sum up, in this article..."
↓
"From all of the above..."
↓
"Finally, here are three points..."
↓
Reader: "That ended a minute ago."
Stop doing this.
You can keep necessary warnings and practical information.
But you don't need to pile four layers of AI summary on top of the afterglow.
10. Good writing helps with Google too: not as literary points, but as original value
Now Google comes in.
On people-first content, Google Search Central lists these as questions to ask yourself:
- Original information
- Original reporting, research, or analysis
- Interesting information that goes beyond the obvious
- First-hand experience
- Added value beyond simply rewriting other pages
Google's 2026 official guide for generative AI search also emphasizes "non-commodity content" built on a unique perspective or first-hand experience, and says plainly that merely summarizing existing web information is weak. [16]
This connects directly to the craft of writing.
He handed over an umbrella.
He said something weird.
There was a strange sense that something was off.
This is how it actually caused trouble.
This is the take I formed.
First-hand scenes like these can't be produced by summarizing ten search results.
On the other hand, if you mass-produce 500 copies of "7 Tips for Engaging Writing," it's like praying to the Google gods, and it actually runs against the direction of the official guidance.
Google doesn't ban generative AI itself. But it says that mass-producing content without adding value can count as scaled content abuse. [17][18]
So the role of SEO is
not to dilute your writing for Google. It's to make your original value discoverable by Google.
Titles are the same story.
A title that's only a weird joke leaves searchers stuck.
Lining up the corpses of keywords is just as bad.
Google recommends titles that are descriptive and concise, and advises against stuffing in keywords. [19]
So instead of
"writing tips psychology SEO talent dialogue tricks methods"
something like
"How to Write Engagingly: Breaking Down Writing Talent with Psychology, Staging, and Google"
is plenty.
11. Conclusion: writing talent isn't the power to explain everything, it's the power to leave work for the reader
Put together, engaging writing looks like this:
- Leave meaningful actions instead of abstract labels.
- If a person's voice is the value, don't over-summarize the key dialogue.
- Don't crush an interesting contradiction with "in short, he's the type who..."
- Keep only the concrete things that are doing a job.
- Think not just about the order of events, but about what the reader knows at each point.
- In practical articles, give the answer early. In narrative ones, protect the payoff you need.
- Don't stop a joke at mere incongruity. Put in a bridge so the reader can work out the meaning.
- Don't keep explaining a joke that's already been understood.
- Don't make sentence length and density uniform throughout.
- After a strong payoff, don't pummel the reader again with the AI's stock summary.
- For Google, check whether you have original value before you look at search demand.
In the end, writing talent isn't only about vocabulary.
It's also the ability to design things so that the reader's head produces
"Who is this person?"
"What happens next?"
"Oh, so that's what it was."
If the author explains everything, the reader gets kicked out of the audience.
Engaging writing builds a movie theater inside the reader's head. Bad writing seats a commentator in every single seat of that theater.
References (19)
- Bott A, Brockmann L, Denneberg I, et al. “Spontaneous Trait Inferences From Behavior: A Systematic Meta-Analysis.” Personality and Social Psychology Bulletin pmc.ncbi.nlm.nih.gov
- Yao B. “Mental Simulations of Phonological Representations Are Causally Linked to Silent Reading of Direct Versus Indirect Speech.” Journal of Cognition pmc.ncbi.nlm.nih.gov
- Eerland A, Engelen JAA, Zwaan RA. “The Influence of Direct and Indirect Speech on Mental Representations.” PLoS ONE pmc.ncbi.nlm.nih.gov
- Trafimow D, Porter PP. “A comparison of updating and explanation as causes of the incongruity effect on person memory.” Journal of Social Psychology pubmed.ncbi.nlm.nih.gov
- Papagno C. “The neural correlates of abstract and concrete words.” Handbook of Clinical Neurology pubmed.ncbi.nlm.nih.gov
- Smith ME, Loschky LC, et al. “Events shape long-term memory for story information.” Discourse Processes pmc.ncbi.nlm.nih.gov
- Michelmann S, Hasson U, Norman KA. “Evidence That Event Boundaries Are Access Points for Memory Retrieval.” Psychological Science pmc.ncbi.nlm.nih.gov
- Mar RA, Li J, Nguyen ATP, Ta CP. “Memory and comprehension of narrative versus expository texts: A meta-analysis.” Psychonomic Bulletin & Review pmc.ncbi.nlm.nih.gov
- Li ZW, Bramley NR, Gureckis TM. “Expectations about future learning influence moment-to-moment feelings of suspense.” Cognition and Emotion pubmed.ncbi.nlm.nih.gov
- Chan YC, Chou TL, Chen HC, et al. “Towards a neural circuit model of verbal humor processing.” Neuropsychologia pubmed.ncbi.nlm.nih.gov
- The resolution stage, not the incongruity detection stage, is related to the subjective feeling of humor: An ERP study using Japanese nazokake puns. pubmed.ncbi.nlm.nih.gov
- Bohrn IC, Altmann U, Lubrich O, Menninghaus W, Jacobs AM. “Old Proverbs in New Skins – An fMRI Study on Defamiliarization.” Frontiers in Psychology frontiersin.org
- Miron-Shatz T. “Evaluating multiepisode events: boundary conditions for the peak-end rule.” Emotion pubmed.ncbi.nlm.nih.gov
- Kemp S, Burt CDB, Furneaux L. / related peak-end generalization evidence summarized in “From Experience to Memory: On the Robustness of the Peak-and-End-Rule for Complex, Heterogeneous Experiences. pubmed.ncbi.nlm.nih.gov
- Google Search Central. “Creating helpful, reliable, people-first content. developers.google.com
- Google Search Central. “Google's Guide to Optimizing for Generative AI Features on Google Search. developers.google.com
- Google Search Central. “Google Search's guidance on using generative AI content on your website. developers.google.com
- Google Search Central. “Spam policies for Google Web Search — Scaled content abuse. developers.google.com
- Google Search Central. “Influencing your title links in search results. developers.google.com
