Find what to update in an old article

Audits an older article for outdated facts, missing subtopics and weak sections, and gives a prioritised update plan.

Prompt, 3 blanks to fill
Audit this article, which targets the keyword "{{KEYWORD}}". Today's date is {{TODAY}}.

<article>
{{ARTICLE}}
</article>

Report in four parts:
1. Possibly outdated: statements, prices, tools, dates or statistics that may have changed. Quote each one. Mark it "verify" because your training data may also be out of date.
2. Missing: subtopics or questions a reader would expect today that the article does not cover.
3. Weak: sections that are vague, too long or no longer useful.
4. Keep: sections that are still strong and should not change.

Finish with a prioritised update plan of no more than 7 steps.

Example output

Outdated: "GA3 setup" section (GA3 was retired). Rewrite for GA4. Missing: privacy consent mode, asked about in 3 of the top 5 results. Keep: the troubleshooting table, still accurate.

How to use

Give the real date in TODAY so the model can reason about time. Check every "verify" item against a current source before editing; use a search-enabled model or a deep research tool for that step.

Why it works

Models have a knowledge cutoff, so the prompt asks them to flag rather than correct facts, which avoids swapping one outdated claim for another. The "Keep" list protects the parts that already work.

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