买家现在在打开搜索栏之前打开了一个助手。他们要求ChatGPT、Perplexity、双胞胎和克劳德在一类中找到最佳选项,而该模型用一个简短的名称列表回应。作为其中一个名称是新的首页。一组有能力的工具已经到达,以帮助企业理解这一转变,它们是真正有用的。这个页面比较了领先的名称,然后解释了为您服务的组合。
这个空间中的几乎每一个工具都会做两项工作之一。第一项工作是测量。测量工具会向助手提问你的买家问的问题,记录你是否被命名,并报告你如何与竞争对手进行比较。第二项工作是执行。执行服务会改变助手读到的信号,所以答案本身会转向你的利益。测量会告诉你分数。执行会改变它。大多数已知的产品都是测量平台。这不是批评。得分表是有价值的。
深度 深度追踪主要助手如何代表您的品牌,监控哪些AI扫描器到达您的页面,并估计购买者正在询问的提示量。深度自此增加了产生答案准备的内容的代理,因此产品现在涵盖了洞察力和一些自动化。
Otterly.AI. 一个干净,易于访问的显示器. Otterly运行提示您在ChatGPT,迷信,双胞胎,Copilot和谷歌AI概览中定义,然后报告您的语音份额,您的引用,以及每个引擎如何积极地描述您。
佩克·艾。 一个专注于引用和基准分析的自助服务分析工具 Peec 组织提示,显示模型来自哪些来源,并跟踪您如何与您市场的竞争对手进行排名。
打破 AI。 Scrunch 是一个监控平台,具有面向企业的优化层,除了可追踪可见性和可检索可见性之外, Scrunch 还可以为人工智能代理提供您页面的并行、可机器读取版本,而不会改变客户看到的网站。
Semrush AI 可见性工具包 对于已经在 Semrush 生活的团队来说,这将带来品牌性能仪表板、快速跟踪和快速研究,并将您的声音、情绪和购买者对您提出的问题分享到现有搜索数据旁边。
火箭火箭雷达 跟踪六个AI表面上的品牌可见性,使用从真实搜索行为中提取的提示,产生可见性分数和语音份额。
HubSpot AI 搜索级别。 一个免费的,一次性快照. 输入你的公司细节,它在ChatGPT,困惑和双胞胎中运行测试查询,然后返回百分之一的分数,通过写作阅读模型如何看待你。
AI HALO不是另一个仪表板,它不试图成为。上面的平台是得分表。
这里是诚实的钩子. 一个监视器可以告诉你,每周,助理不会命名你的业务。 这是值得知道的。 更难的问题是要做什么,这就是AI HALO为你做的问题。 我们创作和实施模型阅读的信号:清洁的结构化数据,网络上的一致实体, llms.txt简报,未封锁的AI扫描仪和权威来源上的引用构建。 你批准每个变化。 我们在自己的网站上实施它。
我们将明确地说,AI HALO不是什么。AI HALO不是一个提示量数据库,历史趋势图表或语音分配基准套件。测量平台做得很好,许多客户保持一个运行。
如果你想观察人工智能如何随着时间的推移描述你的市场,选择一个测量平台,其深度与你的堆栈和你的食欲相匹配。
我们的免费AI可见性审计向领先的助手提问您的买家提出的真正问题,并向您展示您的业务被命名,描述或放弃的位置,从那里您可以决定监控,执行或两者都是明智的下一个投资。
At a glance
The leading tools measure how AI describes you. AI HALO is a different category: the work that changes what the assistants read, proven with a 30-day re-scan.
| Tool | Category | What it does | 做为你 |
|---|---|---|---|
| Profound | Measurement, with some automation | Tracks how assistants represent your brand, monitors AI crawlers, and estimates prompt volume; adds agents that generate answer-ready content. | Partial, through automated content agents |
| Otterly.AI | Measurement | Runs your prompts across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews; reports share of voice, citations and brand sentiment. | No, you act on the findings |
| Peec AI | Measurement | Self-service analytics for citations and competitive benchmarking; shows which sources the models cite and how you rank. | No, you act on the findings |
| Scrunch AI | Measurement, with an optimization layer | Enterprise visibility tracking and crawl observability; can serve a parallel machine-readable version of pages to AI agents. | Partial, through parallel AI page delivery |
| Semrush AI Visibility Toolkit | Measurement | Brand performance dashboards, prompt tracking and prompt research inside the Semrush suite. | No, you act on the findings |
| Ahrefs Brand Radar | Measurement | Tracks visibility across six AI surfaces using prompts from real search behaviour; visibility scores, share of voice and historical data. | No, you act on the findings |
| HubSpot AI Search Grader | Measurement, one-time snapshot | Free one-shot check that scores your brand out of one hundred across ChatGPT, Perplexity and Gemini with a written read. | No, a snapshot only |
| AI HALO | Execution | Authors and implements the signals assistants read on your own site: structured data, entity coherence, llms.txt, crawler access and citations; re-scans at thirty days to prove the lift. | Yes, a done-for-you engagement |
Tool descriptions were checked against each vendor’s own site in 2026. Vendors in this space iterate quickly, so treat capabilities as a snapshot. Nothing here claims AI HALO beats a monitoring platform on monitoring; the categories are different by design.
问题
Often the two work well together. A monitoring platform gives you a continuous scoreboard, while AI HALO changes what that scoreboard reads. If you want ongoing week over week tracking, keep a monitor running. If you want the underlying signals fixed and the result proven, that is the work we do. Many clients pair a monitor with a HALO engagement.
Not really, because they answer a different question. Profound, Semrush and the others measure how AI sees you. AI HALO changes how AI sees you, then re-measures to prove the lift. One is the scoreboard and the other is the work. They sit comfortably side by side.
A free grader is an excellent first snapshot. It scores you once and describes how the models read you today. AI HALO begins where the snapshot ends. We take the gaps a grader reveals and close them on your site, then re-scan to confirm the improvement.
The signals the assistants read, never your brand or your design. That means structured data for your services and location, a coherent entity across the web, an llms.txt briefing, AI crawler access, and citations on authoritative sources. You approve everything before it goes live.
We ask the assistants the exact questions your buyers ask, before and after the work, and record whether you are named and described accurately. That before and after probe at thirty days is the proof, not a vanity metric.