Intelligence Layer 01Helping Brands Become Discoverable in the Age of AI
Decoding Dartmouth helps businesses understand how AI systems discover, reference, and trust brands. No hype. No rank guarantees. Only evidence.
Generative Engine Optimization is the strategy of verifiable presence.
Traditional SEO optimized for keywords and backlinks. GEO optimizes for how Large Language Models cite, synthesize, and recommend your brand inside generated answers.
We map how Claude, GPT, Gemini, and Perplexity represent your domain — and ensure your brand is referenced as a credible primary source rather than absent or misattributed.
The Synthesis Pipeline
Retrieval
The engine surfaces relevant documents and signals across the open web's semantic layer.
Re-ranking
Sources are weighted by authority, recency, structured data clarity, and cross-reference frequency.
Generation
The model synthesizes a single answer, citing the entities that anchor each truth-claim.
The Good, The Bad & The Ugly
Your brand is cited verbatim as the source of truth for its category. AI responses link back, drive qualified traffic, and reinforce authority.
The model summarizes your methodology correctly but omits your name, attributing the insight to general common knowledge or aggregators.
Total erasure or hallucination. Conflicting signals lead the engine to misrepresent your features, pricing, or position. Discovery collapses.
Generative engines are non-deterministic. The same prompt yields different citations across sessions. Anyone promising "#1 in ChatGPT" is selling an impossibility. We focus on the probability of citation through structural integrity and semantic clarity.
— The Decoding Dartmouth commitment