Identical cross-post
- Id
- identical-cross-post
- Status
- Active
- Severity
- medium
- Detection
- statistical
- Evidence grade
- feedsquad-observed
- Languages
- en
- Added
- 2026-08-15
- Updated
- 2026-08-15
Currently signals low-effort writing.
What it is
One text published verbatim on platforms whose formats and audiences do not match. The result is usually visibly broken on at least one surface: a reference to a link where no link exists, a sentence truncated by a character limit, a hashtag block on a platform that ignores tags. Keep this separate from unenhanced-repost, which is about reusing someone else's material rather than your own.
Why it reads as machine-made
Adapting text per surface takes a decision per surface, and generation makes producing one text so cheap that the decisions get skipped. The tell is not that the text repeats. It is that nobody read the repeat against the place it landed.
Specimens
Thrilled to announce that our analytics dashboard is now live for all customers. Click the link below to read the full announcement and see what it means for your team.
The analytics dashboard is live. For X, the one number worth knowing is that report load time dropped from 9 seconds to under 1. For LinkedIn, the rebuild took two engineers eleven weeks and the query plan that made the difference is in the post. For Instagram, a screenshot of the new view beside the old one.
The before was published identically on four surfaces. On Instagram there was no link below, on X it truncated mid-sentence, and on LinkedIn the announcement it pointed to was the post itself. Figures in this repair are invented for the specimen.
How it is detected
- Metric
- cross-platform-text-identity-ratio
- Threshold
- 0.95
- Direction
- above
- Threshold basis
- No published baseline exists for how much a post should change between surfaces. Ninety-five percent character-level identity across two platforms is a FeedSquad review trigger, deliberately set high so that a short factual announcement, which legitimately needs no adaptation, passes it. Compare only posts over 60 words published to two surfaces within 48 hours. The number is ours and it is a prompt to look at the two posts side by side, not a verdict about either.
Who writes this way legitimately
Small teams cross-post deliberately to save time and are right to, and a short factual announcement often needs no adaptation at all. Legal, safety and recall notices are supposed to be identical everywhere, and changing the wording per surface would be the error. The reviewer check is whether the text refers to something the surface does not have: a link, a thread below, a swipe, a character count it exceeded.
Model attribution
No family attribution. This is a publishing-workflow property rather than a model property, and it happens just as readily when a person copies and pastes.
Status history
| Date | Status | Rationale |
|---|---|---|
| 2026-08-15 | Active | This is a genuine observation from FeedSquad's own multi-platform publishing, where the same draft can be pushed to four surfaces in one action, and it is graded on that corpus rather than dressed up with an external citation. Medium severity because the failure is visible to readers and cheap to fix. |
Sources
- 01FeedSquad multi-platform publishingfeedsquad-observedobserved 2026-08-15
Posts scheduled from one draft to two or more of LinkedIn, X, Threads and Instagram inside FeedSquad, 2026. The product adapts text per surface when asked; the observation is what reaches the feed when it is not asked. Qualitative, no counts kept.
CC BY 4.0 / The AI Tells Index, feedsquad.com/ai-tells