Chronological feed of everything captured from Chris Penn.
Generative Engine Optimization (GEO) operates in three phases—model training, traditional search, and information retrieval—requiring reverse prioritization from SEO: off-site presence first to embed in model knowledge cutoffs, followed by on-site technical fixes and content. Allow AI crawlers on promotional content while paywalling proprietary material to ensure model awareness without revenue loss. Create machine-friendly content (e.g., keyword-stuffed descriptions, Markdown pages) for B2M audience and interactive site elements to drive human traffic; measure via referral segments from LLM domains like chatgpt.com.
Agentic AI boosts productivity to levels where users produce a week's worth of prior monthly output, causing "productivity amnesia" where completed tasks blur and are forgotten despite involvement. This stems from human cognitive limits failing to track machine-speed execution, necessitating process upgrades like AI agent completion logs, weekly reviews, and standardized naming. Anthropomorphizing AI as a "bestie" is playful but risks over-trust; treat it as a capacity-augmenting tool while prioritizing human relationships. Ongoing digital clone projects reveal subconscious System 1 thinking challenges in replicating expertise.
METR simulations project that advanced AI capable of 200-hour tasks will automate junior roles, leaving only domain-expert seniors employed and creating a leadership pipeline crisis as juniors lack on-the-job training paths. Minimal-human companies like a 2-person $1B startup demonstrate AI's scalability, but cognitive overload from agent management accelerates senior burnout, termed "AI brain fry." Survival demands self-directed skill-building, entrepreneurial experimentation with cheap AI tools, and building personal authority via portfolios, as traditional corporate hierarchies compress and economies face 70% unemployment risks.
B2M (Business-to-Machine) marketing, conceptualized in 2019, has matured into GEO (Generative Engine Optimization) where LLMs act as primary gatekeepers, directly answering queries and rendering invisible brands absent from their knowledge base. Treat machines as a distinct audience segment requiring structured, keyword-rich, non-polished content on websites and YouTube descriptions/transcripts, alongside traditional SEO foundations. Prioritize unblocking AI crawlers and creating interactive content to drive downstream traffic, as AI recommendations manifest as indirect signals like branded search.