dsh-moments-aieo

When ChatGPT, DeepSeek, Kimi, and Perplexity have become the first stop for user research, whether a brand gets cited by AI engines has superseded traditional keyword ranking as the core visibility metric. Yet most brand teams and agencies lack a systematic diagnostic framework or a reusable monitoring baseline, and can only guess which AI platforms reference whom and why. dsh-moments-aieo packages a complete AIEO (AI Engine Optimization) delivery method into an executable skill chain, turning what to ask, how to ask, and how to measure into a traceable workflow rather than scattered, person-dependent know-how.

The plugin organises a four-stage pipeline around a single persistent question bank: the diagnosis stage drives Playwright to query real AI search platforms, producing a visibility report and a first-draft question bank; the positioning stage refines the bank using an April Dunford-inspired method; the monitoring stage tracks visibility, share-of-voice, content quality, and conversion periodically, rendering results into an interactive HTML dashboard. Two auxiliary skills round out the set: a query miner that harvests real search terms exclusively from whitelisted platform exports (refusing to fabricate keywords) and a high-fidelity landing-page cloner. All skills register under a single provider name, moments-aieo, so they never collide with user-local skills and require no build step.

This tool is best suited to marketing teams, brand owners, and independent consultants who are already delivering or preparing AIEO projects, particularly those serving consumer, healthcare, SaaS, and franchise clients in Chinese-language AI search ecosystems (DeepSeek, Doubao, Kimi). It provides a structured diagnostic and monitoring scaffold rather than making judgement calls on your behalf—what a low score means and what to do about it still requires the industry experience of the person delivering the work.