启动 HN:Sitefire(YC W26)– 自动化操作以提升 AI 可见性

14作者: vincko大约 6 小时前原帖
嗨,HN!我们是来自sitefire的Vincent和Jochen(<a href="https://sitefire.ai">https://sitefire.ai</a>)。我们的平台使品牌能够轻松提升在AI搜索中的可见性。 我们已经合作多年,背景分别是斯坦福大学的强化学习/优化和软件工程。在与一些营销团队交流后,我们得出了这个想法,他们由于谷歌的AI概述而流量下降,却不知道该如何应对。 这个领域可能感觉有些深奥。许多案例研究,但实际研究却很少。我们不断与一些误解作斗争(例如,你需要一个llms.txt与不需要一个llms.txt的争论)以及“地理黑客”。我们努力以数据为驱动,勇于创新,构建一个不仅监控,而且能够真正改善AI搜索流量的系统。 在谷歌进行单次搜索时,AI搜索引擎会将用户的提示扩展为3-10个分支查询。获取的页面使用类似于互惠排名融合(RFF)的分类算法进行排名。最后,LLM会浏览这些页面并决定引用哪些片段。我们的目标是确保品牌拥有能够通过这个漏斗的正确内容。 以下是sitefire的工作原理: - 用户定义一组他们想要监控的提示。这些是合成提示——我们根据SEO关键词及其每月搜索量生成它们。 - 我们每天将这些提示提交给ChatGPT、Gemini、谷歌AI模式等,并捕获答案。我们提取分支查询、获取的页面、引用和品牌提及。 - 对于每个主题,我们的代理分析哪些网页被引用和获取的最多,以及原因。他们还会考虑您已经拥有的相似页面。 - 根据诊断结果,我们的内容代理会起草改进建议或创建新页面,并直接推送到客户的内容管理系统(CMS)。 - 我们与客户的网络日志和谷歌分析集成,以监测AI机器人请求和人类推荐到其页面的增加。 该系统会持续更新,因此始终显示哪些内容有效,以及如何调整现有的网站地图。对于一位使用sitefire优化其博客的客户,AI优化的文章在十天内将其AI机器人请求从约200次/天增加到约570次/天。 我们认识到的一个风险是,AI生成的内容可能会让品牌的网站充斥着低质量信息。尽管现在仍处于早期阶段,我们并不声称已经解决所有问题,但我们的意图是通过专注于特定、独特的信息来减轻这一问题:真实的产品能力、真实的定价、诚实的比较。客户在页面上线前仍会审核每一页,以确保内容符合他们的品牌。 一些客户自己使用我们的平台。对于其他客户,我们更像是一个代理机构,随着进展自动化各个步骤。我们的目标是让sitefire大部分时间独立运行,客户通过Slack、Claude或他们的CMS批准更改。 这里有一个视频演示:<a href="https://screen.studio/share/fw7VQQak" rel="nofollow">https://screen.studio/share/fw7VQQak</a> 如果您想尝试我们目前所构建的内容,请在<a href="https://sitefire.ai">https://sitefire.ai</a>注册。
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Hi HN! We&#x27;re Vincent and Jochen from sitefire (<a href="https:&#x2F;&#x2F;sitefire.ai">https:&#x2F;&#x2F;sitefire.ai</a>). Our platform makes it easy for brands to improve their visibility in AI search.<p>We’ve been working together for years and have backgrounds in RL&#x2F;optimization at Stanford and software engineering. We came to this idea after speaking with marketing teams who were seeing declining traffic due to Google’s AI Overviews and didn’t know what to do.<p>This space can feel esoteric. Many case studies, few actual studies. Constant battle against myths (e.g. you need a llms.txt vs. you don&#x27;t need a llms.txt) and &quot;GEO hacks&quot;. We try to be more data-driven. And we try to be more bold and build a system that not only monitors, but actually improves traffic from AI search.<p>While Google performs a single search, AI search engines expand the user prompt into 3-10 fan-out queries. The sourced pages are ranked using a classified algorithm similar to Reciprocal Rank Fusion (RFF). Finally, the LLMs skim the pages and decide what snippets to cite. Our goal is making sure brands have the right content that makes it through this funnel.<p>Here is how sitefire works:<p>- The user defines a set of prompts they want to monitor. These are synthetic prompts - we generate them based on SEO keywords and their monthly search volume.<p>- We submit these prompts to ChatGPT, Gemini, Google AI Mode, etc. on a daily basis and capture the answers. We extract fan-out queries, sourced pages, citations, and brand mentions.<p>- For each topic, our agents analyze which web pages are sourced and cited the most, and why. They also consider similar pages that you already have.<p>- Based on the diagnosis, our content agents draft improvements or create new pages, and push them directly to the client’s CMS.<p>- We integrate with the client’s network logs and Google Analytics to monitor the increase in AI bot requests and human referrals to their page.<p>This system is continuously updated, so it always shows which content works, and how to adapt the existing sitemap. For one client that used sitefire to optimize their blog, the AI-optimized articles increased their AI bot requests from ~200&#x2F;day to ~570&#x2F;day within ten days.<p>A risk we recognize is that AI-generated content is filling brands’ websites with slop. Whilst it’s still early days and we don’t claim to have figured everything out yet, our intention is to mitigate this by focusing the content on specific, unique information: real product capabilities, real pricing, honest comparisons. The clients still review every page before it goes live, so they can ensure the content is true to their brand.<p>Some clients use our platform themselves. For others we act more like an agency, automating steps as we go. The goal is for sitefire to run mostly on its own, with clients approving changes via Slack, Claude or their CMS.<p>Here&#x27;s a video demo: <a href="https:&#x2F;&#x2F;screen.studio&#x2F;share&#x2F;fw7VQQak" rel="nofollow">https:&#x2F;&#x2F;screen.studio&#x2F;share&#x2F;fw7VQQak</a><p>If you&#x27;d like to try what we&#x27;ve built so far, sign up at <a href="https:&#x2F;&#x2F;sitefire.ai">https:&#x2F;&#x2F;sitefire.ai</a>.