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.

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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

Platform	Hard character limit	Hashtag rules	Format
X/Twitter	280 chars per tweet (4000 Premium)	1-2 per tweet, mid/end placement, must be active communities	Thread = linked tweets, all posted at once
LinkedIn post	3000 chars	3-5 max, broad+niche mix, research active tags first	Link in first comment, not body
LinkedIn article	Unlimited	N/A (use on sharing post only)	H2/H3 headings, professional tone
Reddit	40,000 chars body, 300 chars title	None — Reddit does not use hashtags	Subreddit norms vary, check rules
Product Hunt tagline	60 chars max	N/A — uses Topics	No hype, no emojis unless part of name
Product Hunt description	500 chars max	N/A	Value prop + features
Threads	500 chars	Similar to Twitter	Short takes
Bluesky	300 chars	Minimal	Short takes

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)

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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.

Check	How to verify	Fail action
Character limit	Count characters for each post/tweet	Rewrite to fit
Platform formatting	No markdown on platforms that render plain text	Strip formatting
Hook present	First 1-2 sentences create curiosity or value	Rewrite opening
Single CTA	One clear action per post	Remove extra CTAs
Hashtags verified	Each hashtag has active community (web searched)	Replace with verified tag
Copy-paste clean	Paste into a text editor — does it look right?	Fix formatting
No identical cross-posts	Compare all posts — none are the same	Differentiate

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

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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)

Check	How to verify	Fail action
Brand name in first 2 sentences	Read each post opening	Add brand name
Zero generic references	Search for "it", "the tool", "our product", "a tool", "the system", "the workflow"	Replace with product name
Extractable passage exists	Copy the passage alone — does it answer "What is X?"	Rewrite passage
Specific numbers, not vague	Search for "minutes", "fast", "easy", "many" without a number	Add specific number
Character limits still pass	Re-count after all edits	Trim to fit
Adjacent terms present	Check that the full content set mentions how real people search	Add bridging sentence

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

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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)

Check	How to verify	Fail action
Question headings (long-form)	Count question-format headings per post	Add at least 1 per long-form post
Brand names in every extractable passage	Re-read each quotable sentence	Fix missing names
YouTube/video companion	Is a video link or companion action noted?	Add it
Reddit posts are quotable	Read each Reddit paragraph in isolation	Rewrite weak paragraphs
LinkedIn is rich enough for Copilot	Is the LinkedIn post the most detailed?	Expand if thin
All commands/code verified	Test every install command, URL, and code block	Fix or remove
Character limits STILL pass	Final count after all edits	Trim to fit
Freshness date included	At least one post has a date reference	Add one

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

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Step 4: Review and Deliver

Final assembly and cross-file consistency check.

GATE 4 — Cross-Content Consistency (BLOCKING)

Check	How to verify	Fail action
Same stats everywhere	Are numbers consistent across all posts? (e.g., "70+ tools" not "70 tools" in one and "100+ tools" in another)	Align
Same positioning	Is the product described the same way across platforms?	Align
No conflicting information	Check pricing, feature claims, dates	Fix conflicts
No leftover references	Search for removed campaigns (e.g., April Fools), draft placeholder text, TODO notes	Remove
Dates are correct	Every date reference matches the actual launch date	Fix
URLs are correct and live	Test every URL in the content	Fix or remove
Engagement plans are actionable	Does each post file have clear instructions for the person posting?	Add instructions

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:

Post	Platform	Chars	Gate 1	Gate 2	Gate 3	Gate 4	Status
...	...	...	Pass/Fail	Pass/Fail	Pass/Fail	Pass/Fail	Ready / Needs work

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Optional Add-Ons

Situation	Add this skill	Why
Post links to a long-form article	article-writing + seo-content	The linked page needs its own SEO/GEO optimization
Site needs structured data	schema-markup	sameAs and speakable properties boost entity recognition
Want psychology-driven hooks	marketing-psychology	Ground hooks in cognitive biases
Scaling to a content calendar	content-strategy	Build a full editorial plan first
Running paid amplification	ad-creative	Adapt top organic posts into ad variations

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Metrics to Track

Metric	Tool	What it tells you
AI citation appearance	Otterly AI, Peec AI, manual checks	Are AI engines citing your content?
Platform engagement	Native analytics	Are humans engaging?
Click-through to site	UTM tracking	Is social driving traffic?
Brand mention growth	Google Alerts, social listening	Is your authority signal growing?