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feat(marketing): enhance agents with Search Everywhere Optimization framework#589

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hedonnn:seo-everywhere-patch
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feat(marketing): enhance agents with Search Everywhere Optimization framework#589
hedonnn wants to merge 1 commit into
msitarzewski:mainfrom
hedonnn:seo-everywhere-patch

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@hedonnn

@hedonnn hedonnn commented Jun 14, 2026

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Summary

Apply 17 patches across 5 marketing agents based on 2026 Search Everywhere Optimization (7-step SEO checklist) gap analysis.

Changes

SEO Specialist (4 patches)

  • Add Search Everywhere Optimization section (multi-surface search strategy: Google, YouTube, AI engines, social search, voice, visual)
  • Add Channel column to Supporting Content Cluster table for cross-platform topic planning
  • Add Content Differentiation (Purple Cow Strategy) section requiring original data/tools/perspectives
  • Expand AI Search and SGE Adaptation with citation benchmark stats (FAQPage +2.7x, stats +33.9%, quotes +32%)

AI Citation Strategist (3 patches)

  • Add YouTube and Reddit rows to Platform-Specific Patterns table
  • Add citation benchmark stats to Fix Pack template
  • Add Content Differentiation for Citations section with scoring checklist

Content Creator (5 patches)

  • Add Content Differentiation Framework with scoring matrix (minimum viable score: 4 points)
  • Add Brand Narrative Development template (origin story, pillars, voice, proof points)
  • Add AI-Optimized Content Requirements section (inline citations, schema types, NLP-friendly answers)
  • Add Topic Domination Plan cross-channel template (blog + video + social + email + podcast)
  • Add Video Content as Search Strategy section (YouTube-as-search principles + content briefs)

Social Media Strategist (3 patches)

  • Add TikTok, Reddit, and YouTube platform strategies alongside existing LinkedIn/Twitter
  • Add Social Content for AI Visibility section (how social content feeds AI answer engines)
  • Expand Thought Leadership with Brand Narrative integration

Video Optimization Specialist (2 patches)

  • Add VideoObject Schema implementation guide with JSON-LD template and validation checklist
  • Add AI Citation from Video section (transcript optimization, chapter-as-questions, companion blog posts)

Motivation

Audit revealed 4 systemic gaps across all marketing agents:

  1. No agent owned multi-surface search optimization (Google-centric only)
  2. Content differentiation / Purple Cow strategy was absent
  3. Brand Narrative framework was missing
  4. Topic clusters were website-only with no cross-channel distribution

These patches close all 4 gaps and align the marketing agent suite with the current state of search (2026): multi-surface, AI-cited, video-integrated, and differentiation-driven.

…ramework

Apply 17 patches across 5 marketing agents based on 2026 Search Everywhere Optimization (7-step SEO checklist) gap analysis.

SEO Specialist (4 patches):

- Add Search Everywhere Optimization section (multi-surface search strategy)

- Add Channel column to Supporting Content Cluster table

- Add Content Differentiation (Purple Cow Strategy) section

- Expand AI Search & SGE Adaptation with citation benchmark stats

AI Citation Strategist (3 patches):

- Add YouTube and Reddit to Platform-Specific Patterns table

- Add citation benchmark stats to Fix Pack template

- Add Content Differentiation for Citations section

Content Creator (5 patches):

- Add Content Differentiation Framework with scoring matrix

- Add Brand Narrative Development template

- Add AI-Optimized Content Requirements section

- Add Topic Domination Plan cross-channel template

- Add Video Content as Search Strategy section

Social Media Strategist (3 patches):

- Add TikTok, Reddit, and YouTube platform strategies

- Add Social Content for AI Visibility section

- Expand Thought Leadership with Brand Narrative integration

Video Optimization Specialist (2 patches):

- Add VideoObject Schema implementation guide with JSON-LD template

- Add AI Citation from Video Content section
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