On feeds, a post reaches a small fraction of your followers, so the same post can be genuinely new to most of your audience six months later. Teams avoid reposting out of a fear of looking repetitive that the data does not support, and instead burn effort on new material that performs worse. The trap is naive reposting - identical text on the same account reads as lazy, and some platforms deduplicate near-identical content, so the method is structured rewriting rather than resharing.
evergreen-post-recirculation.md
---
name: evergreen-post-recirculation
description: Use when your best-performing posts are months old and buried, and you are writing new material from scratch every week.
---
# Recirculate Posts That Already Worked
On feeds, a post reaches a small fraction of your followers, so the same post can be genuinely new to most of your audience six months later. Teams avoid reposting out of a fear of looking repetitive that the data does not support, and instead burn effort on new material that performs worse. The trap is naive reposting - identical text on the same account reads as lazy, and some platforms deduplicate near-identical content, so the method is structured rewriting rather than resharing.
## What you need first
- at least six months of post-level performance data
- the original posts in a form you can edit
- a note of what has changed since each was written
## Method
1. Rank past posts by saves and comments rather than likes, because saves are the strongest signal that a post has standing value worth showing to a new audience.
2. Filter out anything tied to a date, a product version, or a news event - only claims that are still true qualify for recirculation.
3. Rewrite rather than repost: keep the finding, change the opening, swap the example for a newer one. This clears deduplication and gives you a genuine reason to post it.
4. Leave at least four to six months between an original and its rewrite on the same platform, and longer if the original went unusually wide.
5. Move winners across platforms before recirculating on the same one - a strong X thread is usually unpublished material for your LinkedIn audience.
6. Track the rewrite against the original's numbers; if a rewrite consistently beats the original, the topic is a pillar and deserves a proper article, not more posts.
## What this produces
A ranked library of evergreen posts with rewrite dates and cross-platform status.
## Where this goes wrong
- ranking by likes, which selects for agreeable posts rather than useful ones
- reposting verbatim, which triggers deduplication and reads as filler to your most engaged followers
- recirculating something whose underlying claim has quietly stopped being true
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From the QuQi skill library - https://www.quqi.io/skills/evergreen-post-recirculation
Free to download · no account, no email
A ranked library of evergreen posts with rewrite dates and cross-platform status.