> For the complete documentation index, see [llms.txt](https://oodlz-ai-studio.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://oodlz-ai-studio.gitbook.io/docs/outbound-agents/awareness/3-repurpose/platform-algorithm-intelligence.md).

# Platform Algorithm Intelligence

Each platform's content written to that platform's 2026 algorithm priorities — LinkedIn dwell time, Instagram saves and SEO, X native content, Facebook discussion, Pinterest SEO.

> **Each post written for the algorithm that ranks it — not the same template rewritten with different filler.**

Social platforms reward different things. LinkedIn rewards dwell time and comment depth. Instagram rewards saves and caption keyword density. X penalises links inside tweets. Facebook penalises engagement bait. Pinterest indexes pins for long-term keyword search. Most repurposing tools post the same content everywhere and expect the platforms to sort it out. The Oodlz Repurpose producer writes each post against the target platform's actual 2026 algorithm priorities.

## How It Works

| Platform  | Algorithm priority                                  | What the post does                                                                                     |
| --------- | --------------------------------------------------- | ------------------------------------------------------------------------------------------------------ |
| LinkedIn  | Dwell time, comment depth                           | Long-form professional or industry insight, opens with a hook, ends with a question that invites depth |
| Instagram | Saves, shares, caption keyword SEO                  | Visual-first hook, caption written with keyword density for in-feed search                             |
| X         | Native content rewarded, in-tweet links suppressed  | Single punchy tweet, link attached via API (not in tweet text) to avoid algorithmic suppression        |
| Facebook  | Multi-comment discussion, engagement bait penalised | Community-oriented prompt, avoids "comment YES if..." patterns                                         |
| Pinterest | Keyword search discovery, long content lifespan     | SEO-optimised pin title and description for long-tail search traffic                                   |

The platform-specific rules are baked into the Repurpose Agent's prompt as hard constraints — not preferences. A LinkedIn post that ends without a discussion prompt is regenerated. An X tweet with the link embedded in the text instead of attached is regenerated. A Facebook post containing engagement-bait phrases is regenerated.

## What You Get

* Each post structured for the platform that will rank it — no one-size-fits-all template.
* Algorithm priorities encoded as hard constraints — wrong-shape posts are regenerated, not shipped.
* LinkedIn posts engineered for comment depth — the metric LinkedIn actually weights.
* X posts that survive the link-suppression algorithm — link attached via API, not embedded in tweet text.
* Facebook posts that avoid engagement-bait penalties — community-oriented, not gimmicky.
* Pinterest pins built for long-tail search — keyword-first descriptions, not aspirational fluff.