Launch HN: Sitefire (YC W26) – 推出 Sitefire (YC W26) – 自动化操作,提升 AI 可见性

14作者: vincko1 天前
大家好,我们是来自 sitefire (<a href="https://sitefire.ai">https://sitefire.ai</a>) 的 Vincent 和 Jochen。我们的平台让品牌更容易提高在 AI 搜索中的可见度。 我们已经一起工作多年,分别拥有斯坦福大学的强化学习/优化和软件工程背景。我们之所以产生这个想法,是因为与营销团队交流后,他们发现由于谷歌的 AI 概览,流量正在下降,却不知道该怎么办。 这个领域可能感觉很深奥。很多案例研究,但实际研究却很少。我们一直在与各种误解作斗争(例如,你需要一个 llms.txt 文件,而实际上你不需要),以及各种“GEO 技巧”。我们试图更注重数据驱动。并且我们试图更大胆,构建一个不仅能监控,还能真正提高 AI 搜索流量的系统。 虽然谷歌执行的是单次搜索,但 AI 搜索引擎会将用户提示扩展为 3-10 个扇出查询。来源页面使用类似于倒数排名融合 (RFF) 的分类算法进行排名。最后,LLM 会浏览页面并决定引用哪些片段。我们的目标是确保品牌拥有能通过这个漏斗的正确内容。 sitefire 的工作原理如下: * 用户定义他们想要监控的一组提示。这些是合成提示——我们根据 SEO 关键词及其月搜索量生成它们。 * 我们每天将这些提示提交给 ChatGPT、Gemini、Google AI Mode 等,并捕获答案。我们提取扇出查询、来源页面、引用和品牌提及。 * 对于每个主题,我们的代理会分析哪些网页被引用和引用的次数最多,以及原因。他们还会考虑您已经拥有的类似页面。 * 根据诊断结果,我们的内容代理会起草改进方案或创建新页面,并将其直接推送到客户的 CMS。 * 我们与客户的网络日志和 Google Analytics 集成,以监控 AI 机器人请求和人类对其页面的引用的增加。 该系统会持续更新,因此它始终显示哪些内容有效,以及如何调整现有的站点地图。对于一个使用 sitefire 优化其博客的客户来说,AI 优化的文章在十天内将其 AI 机器人请求从每天约 200 个增加到每天约 570 个。 我们认识到的一个风险是,AI 生成的内容正在用垃圾填充品牌的网站。虽然现在还处于早期阶段,我们也不声称已经完全弄清楚一切,但我们的目的是通过将内容集中在特定、独特的信息上,来缓解这种情况:真实的产品功能、真实的价格、诚实的比较。客户仍然会在每个页面上线前进行审核,这样他们就可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,我们更像一个机构,在过程中自动化步骤。我们的目标是让 sitefire 能够自主运行,客户通过 Slack、Claude 或他们的 CMS 批准更改。 这是一个视频演示:<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>.