GTM OpsHello OperatorVictor's pick
Make Friends With Your Market
useful booth manning advice
ai-search-optimizationgeo-vs-seoearned-media-strategyai-citation-gamecontent-structure-shift
“AI search shows a systematic bias toward earned media over brand-owned content. Much stronger than traditional search algorithms ever did. What you publish on your own domain matters less, whereas what gets written about you, by sources the model already trusts, matters enormously.”
Key takeaways
- GEO is fundamentally different from SEO: it's a citation game not a ranking game - AI models reference trusted sources rather than users clicking ranked results
- AI Overviews correlate with 34.5% CTR drop for #1 organic results based on 300k keyword analysis - the traditional traffic model is breaking
- Earned media in trusted third-party sources now outweighs owned content authority - biggest strategic shift from traditional SEO where own-site optimization could win
- Machine scannability beats human delight: short 2-3 line paragraphs, bullet lists, consistent answer patterns (definition → detail → example) optimize for AI parsing
- Conversational query targeting required: people prompt AI differently than typing Google searches, traditional keyword tools miss this behavioral shift
- PR investment becomes primary acquisition channel rather than nice-to-have when AI engines pull recommendations from authoritative industry sources they already trust
Why this matters for operators: B2B SaaS companies rethinking content strategy and PR investment allocation in AI-first search era
I cover AI×GTM intelligence like this every Wednesday.
Get STEEPWORKS WeeklyMore picks
Human-AI IntersectionTechCrunch AIVictor's pick
Meet Shapes, the app bringing humans and AI into the same group chats
this is just ...cool?
- Shapes is positioning as 'Discord with AI characters' - group chat with AI participants
- Represents emerging category of AI-as-peer vs AI-as-tool
- Insufficient detail to assess product-market fit or GTM relevance
ai-collaboration-toolsconversational-aihuman-ai-interaction
AI Developmentn8n Blog
Human-in-the-Loop vs. Human-on-the-Loop: When To Use Each System
- HITL (human-in-the-loop) requires human approval before AI executes critical actions - synchronous control pattern used for high-stakes decisions, compliance requirements, and low-confidence scenarios
- HOTL (human-on-the-loop) allows AI to execute autonomously while humans review results and adjust parameters - asynchronous pattern for scalable operations with exception-based oversight
- Framework applies across use cases: loan approvals, customer emails, social posts, fraud detection, and compliance workflows - choice depends on risk tolerance, regulatory requirements, and operational scale needs
automation-stacksai-policyhuman-first-sales
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.