Wf Social SEO Geo

Social + SEO + GEO Workflow v2

Create social media content that performs on platforms AND gets cited by AI search engines.

CRITICAL: This is a 4-step sequential pipeline. Each step produces output. Each gate BLOCKS progress until every check passes. Do NOT combine steps. Do NOT skip gates.

Pre-Flight

1. Check for .agents/product-marketing-context.md. If it exists, load it.
2. Gather from user (ask if not provided):
   • Topic or source — What to post about
   • Target platforms — Which social platforms
   • Target AI engines — Which AI search engines matter
   • Goal — Awareness, traffic, leads, authority, launch support
   • Audience — Who reads this
3. Research platform constraints BEFORE writing anything:

Platform Constraints Reference

4. Research hashtags BEFORE writing:
   • Web search for trending hashtags in the relevant category + current month
   • Verify each hashtag has an active community (not made-up)
   • Twitter: pick 1-2 per tweet from verified active tags
   • LinkedIn: pick 3-5 from verified active tags
   • Never use hashtags with zero community (#UXValidation, #AITesting = bad)
   • Prefer engaged niche communities (#BuildInPublic, #OpenSource) over saturated broad tags (#AI)

Step 1: Create Platform-Native Content

Invoke social-content.

Input: Topic, platforms, audience, brand voice.

Produce per platform:

• Post text that fits within the platform's hard character limit
• Platform-appropriate formatting (no markdown on platforms that don't render it)
• Hook (curiosity, story, value, or contrarian)
• CTA
• Hashtags (researched, verified active communities)
• Content pillar tag

Rules:

• One post per platform — never identical cross-posts
• Plain text only — no markdown formatting (no bold, no - bullets, no code)
• Every post must be copy-paste ready into the platform's native editor
• Count characters for every tweet/post BEFORE moving to Gate 1

GATE 1 — Platform Compliance (BLOCKING)

Verify EVERY item. If ANY fails, rewrite before proceeding.

DO NOT proceed to Step 2 until Gate 1 passes 100%.

Step 2: Optimize for AI Extraction

Invoke ai-seo.

Input: Gate 1-approved posts from Step 1.

For EACH post, apply these optimizations in order:

1. Brand entity anchoring

   • Product/brand name appears in the first 2 sentences
   • Never use "it", "the tool", "our product", "a tool" when the brand name should appear
   • Full brand name in every self-contained passage

2. Extractable passage creation

   • Write 1-2 sentences per post that are self-contained (15-40 words for social, 134-167 words for articles)
   • The passage must answer a question like "What is [Product]?" without surrounding context
   • Test: if you copy JUST that sentence, does it make complete sense alone?

3. Statistical density

   • At least one specific number per post (not vague like "minutes" — use "under 5 minutes" or "in 3 minutes")
   • Named sources when possible
   • Avoid unsubstantiated superlatives ("best", "leading", "revolutionary")

4. Adjacent search terms

   • Include terms people actually search for, not just your brand vocabulary
   • Example: if your product does "UX validation", also mention "automated testing", "QA", "user testing" at least once across the content set
   • Each post doesn't need every term — distribute across the set

5. Source citations (long-form only)

   • For LinkedIn articles, Reddit posts: add data points with attribution
   • For tweets: one stat per tweet is sufficient

Rules:

• Optimizations must NOT break platform character limits (re-count after edits)
• Optimizations must NOT make the post sound robotic or keyword-stuffed
• Short-form (tweets, Threads): apply only items 1 and 2
• Long-form (LinkedIn, Reddit, articles): apply all 5

GATE 2 — AI Extraction Quality (BLOCKING)

DO NOT proceed to Step 3 until Gate 2 passes 100%.

Step 3: Tune Per AI Platform

Invoke geo-platform-optimizer.

Input: Gate 2-approved posts + user's target AI engines.

For EACH target AI platform, verify and apply:

Google AI Overviews

• At least one question-based heading per long-form post ("What is X?", "How does X work?")
• Direct answer immediately after the question (not 3 paragraphs of backstory first)
• Lists or structured formatting where appropriate

ChatGPT

• Full brand/product names used consistently (ChatGPT uses entity recognition)
• Freshness signal: include a date or "as of [month year]" in at least one post
• Ensure Reddit posts exist (ChatGPT indexes Reddit heavily)

Perplexity

• Reddit posts have quotable standalone paragraphs (not just narrative flow)
• Original data or first-party insights present
• Conversational but factual tone

Gemini

• YouTube video link included in at least one post (or noted as companion action)
• Google ecosystem signals mentioned if relevant (Google Business, Knowledge Panel)

Copilot

• LinkedIn post is detailed and rich (Copilot weights LinkedIn heavily)
• Linked pages load fast
• IndexNow submission noted as companion action

Claude / Deepseek / Others

• Clear factual claims with structured comparisons
• No hedged language ("might", "could", "possibly")
• Technical accuracy in any code or commands (verify they actually work)

GATE 3 — Platform-Specific AI Signals (BLOCKING)

DO NOT proceed to Step 4 until Gate 3 passes 100%.

Step 4: Review and Deliver

Final assembly and cross-file consistency check.

GATE 4 — Cross-Content Consistency (BLOCKING)

Final Output Format

Deliver each post as a separate file. Each file contains:

1. Platform name and posting instructions (timing, format, actions after posting)
2. COPY-PASTE section clearly marked — plain text, ready to paste with zero edits
3. Companion content (first comment, reply, follow-up) also copy-paste ready
4. Engagement plan for that platform

Plus one summary report:

Optional Add-Ons

Metrics to Track