A startup published 50 blog posts targeting 'high volume keywords.' Six months later: zero organic traffic. Why? Nobody checked indexation — 23 pages had noindex tags from staging. 12 pages cannibalized the same keyword. The site had 89 orphan pages with zero internal links. LCP was 4.8 seconds on mobile. And the 'high volume' keywords had KD 75 against DA 28. This tool forces five SEO axes: technical audit before content, keyword strategy with KD vs DA analysis, content clusters with information gain, backlink profile with competitor gap, and competitive positioning with share of voice.

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Every strategy proposed by an AI treats the world as a single-player game. No opponents. No counter-moves. No equilibrium analysis. The AI said 'our competitive advantage' without mapping a single opponent's payoff, analyzing their best response, or checking if the strategy survives rational counter-play. Nash proved in 1950 that every finite game has at least one equilibrium — ignoring this is not a strategic choice, it is a mathematical error. This tool forces five game-theoretic axes: payoff mapping, equilibrium analysis, information structure, mechanism design, and repeated dynamics.

An AI dumped 80,000 tokens into a prompt — 64,000 of them unreferenced noise. It said 'best practice' to justify the structure and 'looks good' to measure quality. That is not context engineering — that is a copy-paste pipeline. This tool forces five context axes: relevance auditing, priority structuring, token budgeting, evidence grounding, and quality measurement.