Vercel 如何針對 LLM 與 AI 搜尋調整 SEO 策略
Original: How we’re adapting SEO for LLMs and AI search
As generative AI search engines (such as ChatGPT Search, Perplexity, and Google AI Overviews) gradually reshape how users search for…
隨著 Perplexity、ChatGPT Search 等 AI 搜尋引擎崛起，傳統 SEO 正在轉變。Vercel 提出其應對策略，重點在於提供乾淨的語義化 HTML、完整的 JSON-LD 結構化資料，並利用 Next.js 的伺服器端渲染（SSR）確保 AI 爬蟲能即時抓取最新內容。此外，他們也強調了合理配置 robots.txt 以平衡資料隱私與 AI 曝光度的重要性。
As generative AI search engines (such as ChatGPT Search, Perplexity, and Google AI Overviews) gradually reshape how users search for information, traditional SEO strategies centered on keywords and backlinks are facing disruption. Frontend deployment and hosting platform Vercel recently shared how they have adapted their own SEO strategy to meet the indexing needs of large language models (LLMs) and AI search engines — an approach commonly referred to as GEO (Generative Engine Optimization).
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