Quick Answer
AI often pads articles when we request more length without identifying more information the reader needs.
We saw longer introductions, repeated explanations, unnecessary examples, oversized conclusions, generic background and sections that existed mostly to increase apparent depth.
Our fix was simple:
stop asking AI to expand an article merely because it is short.
Ask it to find missing value.
If there is a real gap, expand the gap. If there is not, stop.
“Make It More Comprehensive” Sounds Reasonable
We used instructions like this because we wanted substantial content.
The result often looked better initially.
More detail. More examples. More sections. More explanation.
The article felt substantial.
But when we evaluated what the reader learned before and after the expansion, some additions contributed very little.
The instruction had specified more output without specifying what additional reader problem the output needed to solve.
Padding Can Be Beautifully Written
This is one reason padding is easy to miss.
It does not have to sound bad.
The sentences may be clear. The information may even be accurate. The examples may be relevant in a broad sense.
The problem is marginal value.
If deleting several paragraphs changes almost nothing about what the reader understands, can decide or can do, those paragraphs probably were not earning their place.
The Common Forms We Saw
Repeated introductions were common. The page explained what it was about several times before answering.
Restated conclusions appeared when each section summarized itself and the final section summarized all the summaries.
Redundant examples accumulated when multiple scenarios demonstrated a point the first example had already established.
Generic background appeared because it was technically related even when the reader did not need it to answer the question.
Artificial FAQs sometimes repeated questions already answered by the article body.
None of these elements is automatically wrong. Each needs a reason to exist.
Why AI Makes Padding So Easy
Generative AI dramatically lowers the cost of adding another paragraph.
That is an advantage when the article has a genuine information gap.
It is a liability when “more” becomes a quality signal.
The model does not need to become tired, run out of time or decide that another 800 words are not worth writing. If the instruction rewards expansion, expansion is easy.
The Better Expansion Prompt
Instead of:
“Add another 1,000 words.”
we ask:
“Identify important questions within this article's scope that a reader still cannot answer.”
Now expansion requires a reason.
If AI finds three legitimate gaps, we fill those three gaps.
If it finds none, the article does not need to become longer merely to resemble other pages.
We Also Ask What Can Be Removed
Expansion is only half the test.
A useful editing pass asks:
Which section contributes the least new value?
Where is the same conclusion stated twice?
Which example can disappear without reducing understanding?
What background is interesting but unnecessary?
AI can be surprisingly useful at compression when the instruction rewards information density rather than length.
This Changed Our Definition of Depth
We stopped treating depth as the amount of space a subject occupies.
Depth is whether the page resolves the important parts of its chosen scope.
A 1,200-word page can be deep for a narrow question.
A 4,000-word page can be shallow if it circles the question without resolving it.
That made article production faster because we no longer had to manufacture size.
Why This Matters for SEO
Google's current spam policy defines scaled content abuse around producing many pages primarily to manipulate rankings rather than help users, including using generative AI to create many pages without adding value.
The policy is not “AI content is bad” or “long content is bad.”
The useful distinction is value.
That is another reason not to equate production volume or article length with SEO quality.
Worthy Trying Verdict
AI ability to add words: Extremely high
Does more text prove more value? No
Human oversight: Medium
Best expansion method: Identify unanswered in-scope needs
Time saved after changing our method: Significant
Would we request expansion again? Only when we know what needs expanding
The lesson: Expand unanswered questions, not word counts.