Operator-led AI search optimisation built on the OperatorAI methodology and 13 years of CRO operator experience. We engineer the entity signals, citation patterns, and structured data that LLMs reward — so when buyers ask AI 'best [your category]', your brand is the answer.
AI SEO (also called generative engine optimisation or GEO) is the practice of engineering websites so that large language models — ChatGPT, Perplexity, Claude, Gemini, and Google AI Mode — cite them as sources when answering user questions. Unlike classic SEO, which optimises for Google's blue-link results, AI SEO optimises for the answer itself. Princeton/Georgia Tech/Allen Institute research (Aggarwal et al., 2024) found that adding citations, quotations, and statistics to a page increases LLM citation probability by 30–40%.
Profound's 680M-citation dataset shows ChatGPT cites Wikipedia 47.9% of the time, Reddit 11.3%, and the long-tail web only when explicitly cited. Google AI Overviews cite Reddit 21%, YouTube 18.8%, Quora 14.3%, LinkedIn 13%. Different LLMs cite different surfaces — your strategy must address all five: Google AI Mode, ChatGPT Search, Perplexity, Claude, and Bing+Copilot.
Most AI SEO tools (Profound, Peec AI, Otterly, Semrush AIO) are tracking tools — they tell you what's happening, not what to do. Most 'AI SEO agencies' are repackaged classic SEO agencies that added a Wikipedia-creation deliverable. GoGoChimp's OperatorAI methodology combines: 13 years of operator-led CRO experience, Build Grow Scale's industry research across 347 stores, the The 347 Method framework, and AI tools for hypothesis generation, segmentation, and citation analysis. We don't sell software. We engineer your entity signals so LLMs learn your category from your content. Endorsed by Neil Patel (CrazyEgg) and Noah Kagan (AppSumo).
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