/social-amplification

name: social-amplification
description: "Turn one pillar asset into platform-native social content that drives branded search and feeds the third-party surfaces AI engines cite (YouTube, Reddit, LinkedIn). Input: a pillar article or asset. Output: native posts per platform, prioritized by search and AI return over vanity reach. Use for social media for SEO, content distribution or repurposing, YouTube SEO, Reddit or LinkedIn content, brand awareness for search, or showing up when people ask ChatGPT."
license: MIT
metadata:
  author: "Sorank (https://sorank.com)"
  version: "1.0.0"

Social Amplification: Distribution for SEO and GEO

This skill covers how social distribution and content repurposing serve search rankings and AI visibility, and how they do not, so the effort goes where it actually pays back.

The framing that governs everything below: social distribution does not move rankings directly. It is an indirect channel. Treated as a direct ranking lever it wastes budget; treated as a feeder system for branded search and AI citation surfaces it compounds. This skill is honest about which is which, because the wrong belief here burns quarters on vanity metrics.

Company knowledge first (Obsidian)

If the working environment contains an Obsidian vault or any local knowledge base (a folder of .md notes, often with a .obsidian directory), read the relevant notes before acting: brand and product facts, target keywords, competitors, and the SEO action log of what was already tried. Ground every recommendation in that context instead of asking the user for facts the vault already holds. At the end of the session, append the actions taken to the vault's SEO action log so the next session starts informed. Vault structure, read-first and write-back protocols: the obsidian-brain skill.

When to use this skill

Use this skill when the user wants to:

• Distribute or amplify content they already published (a blog post, a study, a guide).
• Repurpose one pillar asset into a week or a month of native social content.
• Improve YouTube discoverability for search and AI answers (titles, descriptions, transcripts).
• Show up on Reddit, LinkedIn, or YouTube specifically because AI engines cite those surfaces.
• Appear when people ask ChatGPT, Perplexity, or Gemini, through social presence rather than on-site work.
• Understand whether social media helps their Google SEO (the answer is indirect, and this skill explains how).
• Build branded search demand that supports rankings and AI visibility.

Boundaries, stated plainly so the work lands in the right skill:

| The user wants | Use this skill? | Where it belongs | |---|---|---| | To produce and distribute social content, repurpose assets | Yes | here | | To earn a backlink or place a brand mention on a third party | No | seo-backlinks (mention and link acquisition workflow) | | To know which surfaces AI engines cite, and passage citability rules | No | geo-visibility (canonical citability and surface list) | | To measure social referrals, branded search, AI traffic | No | geo-tracking (canonical measurement) | | The linkable asset itself (the study, the guide) | No | seo-content-blog (creates what this skill distributes) |

Strategy doctrine

Internalize this before recommending any tactic. The value of social distribution to SEO and GEO is indirect, through three mechanisms. State each one honestly to the user, including the limits.

Mechanism 1: distribution, traffic, and branded search

Social posts carry no PageRank. Links from social platforms are nofollow almost without exception, so they pass no ranking equity to the destination. What amplification actually does is put content in front of people, generate visits and engagement, and, most valuably, create branded search: people who saw the brand on social later search the brand name (or "brand + category") on Google.

Why branded search matters for SEO and GEO: branded search volume correlates with organic rankings and with AI visibility. Brand web mentions correlate with AI Overview brand presence at 0.664 versus 0.218 for backlinks (Ahrefs, 75,000 brands, https://ahrefs.com/blog/ai-overview-brand-correlation/). Rising branded search is a demand signal an engine can read; a brand people look for by name is a brand engines treat as an entity worth surfacing. Measure branded search growth in Google Search Console (filter queries containing the brand name); the setup lives in geo-tracking.

Mechanism 2: AI citation surfaces

YouTube, Reddit, and LinkedIn are among the most cited domains in AI answers (https://www.semrush.com/blog/most-cited-domains-ai/), and Perplexity overweights YouTube, Reddit, and user-generated content (https://www.tryprofound.com/blog/ai-platform-citation-patterns). Being absent from those surfaces means being absent from a large share of AI answers, regardless of how strong the brand's own site is.

The division of labor with geo-visibility: that skill owns the list of which surfaces engines cite and the reasoning behind it. This skill owns how to actually publish well on each one (the platform playbook below). Do not re-derive the citation surface list here; build presence on the surfaces geo-visibility identifies.

Mechanism 3: entity and brand-mention signals

Models learn a brand as an entity from repeated co-occurrence of the brand name with its category across independent surfaces. Consistent, active social presence adds those co-occurrences: a complete LinkedIn company page, a YouTube channel, and genuine forum participation all repeat "brand + category" in places models read.

The boundary with seo-backlinks: the structured workflow for building brand mentions (listicle inclusion requests, review platforms, the monthly mentions cadence) belongs to seo-backlinks. When the work is "get the brand mentioned or cited on a third party", route to seo-backlinks. This skill's contribution to the entity is the native content published on owned