Core Insights - The article emphasizes the importance of verifying information about Answer Engine Optimization (AEO) through personal experimentation rather than relying on potentially inaccurate online best practices [2][3] - AEO is closely related to traditional SEO but requires a focus on citation optimization and long-tail questions to be effective [5][8] - The rise of AEO is attributed to the increasing adoption of AI models like ChatGPT, which have changed how users seek information [10][52] Group 1 - AEO is fundamentally about optimizing content to appear as answers in large language models [9][10] - High-quality, authentic comments on platforms like Reddit are more effective than numerous low-quality comments for AEO [3][24] - The distinction between AEO and SEO lies in the need for citation optimization and addressing long-tail questions [5][14] Group 2 - AEO strategies should include both on-site optimization (like improving help center content) and off-site optimization (like increasing mentions across various platforms) [22][58] - The average length of user queries in chat scenarios is significantly longer than traditional search queries, indicating a shift in user behavior [19][20] - Companies can quickly gain visibility in AEO by being mentioned in relevant discussions or content, unlike the longer timeline required for SEO [19][45] Group 3 - The effectiveness of AEO can be measured through experiments that compare the impact of different strategies on visibility and traffic [36][44] - AEO is not a replacement for Google but rather a new channel that complements existing search methods [50][51] - The quality of leads generated through AEO is significantly higher than those from traditional search, with conversion rates being six times greater [16][47] Group 4 - Companies should focus on creating original, high-quality content that provides unique insights to stand out in AEO [32][33] - The optimization of help center content is crucial, as many user queries are related to specific product functionalities and support [58][60] - AEO requires continuous adaptation and validation of strategies to ensure effectiveness in a rapidly changing digital landscape [36][46]

AI搜索正在快速取代传统搜索。 仅ChatGPT一家，月活超10亿，每日使用量达25亿次，正在逼近谷歌的140亿搜索量。与此同时，Google AI搜索已占搜索结果的13%。 如何掌握AEO（答案引擎优化），让品牌在AI答案中占据一席之地，成为一个至关重要的问题。 关于这个问题，不久前Kyle Poyar特地请教了Profound的AEO负责人Josh Blyskal。 用户的消费行为正在根本性改变——他们不再自己逐条检索和比对产品，而是直接向AI提问："我该买什么？"、"该信谁？"、"怎么做最 好？" 这意味着：如果你的产品没出现在AI的答案里，它可能在用户心中根本不存在；一旦被提及，AI搜索就有可能成为你增长最快的渠道。 对于企业如何提高AI搜索中的可见度，Josh Blyskal给出了9条建议。 / 01 / 决定你想"赢下"的提示词 AI正在主动推荐产品和内容（甚至是订阅的Newsletter）。和SEO一样，AEO也要明确目标提示词，基于两个核心：查询量&与产品差异化 的相关性。 比如我自己，可能会争取像"最适合初创公司创始人的新闻通讯"、"初创公司定价推荐"这样的提示；鞋类品牌可能关注"最好的跑鞋 ...