Siteline is a dedicated analytics platform designed to measure and optimize AI agent and bot traffic on your website. As the web increasingly serves both humans and machines, Siteline helps marketing, SEO, and product teams understand how AI systems like OpenAI's GPT, Claude, Gemini, Perplexity, and Meta AI crawl, fetch, and cite their content. Its core value lies in transforming invisible agent activity into actionable data, revealing exactly which pages are being accessed, where agents encounter errors, and how this traffic converts into human referrals and new customers. By bridging the gap between server-side log data and business intelligence, Siteline turns a previously opaque channel into a measurable, improvable growth driver.
The fundamental problem Siteline solves is the complete invisibility of AI agent traffic to standard analytics tools like Google Analytics. While these tools can track human visitors, they lack the ability to identify and differentiate AI agents, bots, and crawlers. This blind spot means companies miss critical insights about how their content is being consumed by AI systems that influence customer decisions. With 30% of web traffic already coming from AI agents, ignoring this channel means leaving a significant share of potential leads and revenue unaddressed. Siteline surfaces this hidden traffic, showing where agents succeed, where they fail, and what pages drive the highest-quality human referrals, enabling teams to proactively fix issues and capitalize on opportunities.
The first major feature group is Agent Analytics, which provides a comprehensive dashboard of every AI agent, chatbot, and crawler that visits your site. This feature lists all detected platforms, the number of agents per platform, pages fetched, agent visits, and human referrals—all with trend indicators. For example, the dashboard might show OpenAI agents with 30,774 visits and 2,847 human referrals, along with percentage changes. This granularity allows users to pinpoint which AI platforms are most active, which pages they consume, and where referrals are increasing or declining. By understanding this behavior, teams can tailor content to better serve agent crawlers, improve ingestion rates, and drive more human traffic from AI channels.
A second key feature is Citation Monitoring, which tracks which AI platforms and pages cite your brand when answering user queries. The dashboard displays a list of external sources (e.g., Reddit, TechCrunch, Wikipedia, G2) and indicates whether each source mentions your brand and which of your products are cited. This provides direct visibility into how AI chatbots perceive and reference your brand across the web. Understanding citation patterns helps teams identify where their brand appears in AI-generated answers, assess the accuracy of citations, and prioritize efforts to improve brand presence on high-impact sites. It also enables competitive analysis by showing how your brand stacks up against others in AI-driven recommendations.
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Additional capabilities include AI Visibility Tracking, which monitors how your brand appears across AI platforms, and Customized Recommendations that suggest specific improvements to increase agent-friendliness. Siteline also offers data exports, a Reporting API for integrating insights into existing dashboards, and MCP (Model Context Protocol) access for deeper technical integration. The platform supports multiple website integrations across paid plans, allowing agencies to manage AI visibility for several clients at once. These features combine to give users a holistic understanding of their AI traffic ecosystem, from raw crawl data to actionable strategy.
The overall workflow of Siteline is straightforward: connect your website via a simple integration, and Siteline begins reading your server logs to identify and categorize AI agent traffic. Within minutes, the dashboard populates with real-time data on agent visits, pages fetched, errors encountered, and human referral conversions. Users can filter by AI platform, page, or topic to dive into specific trends. The platform then analyzes this data to generate insights and recommendations, such as fixing broken links or optimizing frequently fetched pages for better conversion. This approach moves beyond simulated prompts used by GEO/AEO tools, relying instead on actual behavior observed in log data.
Concrete use cases include improving AI visibility by identifying gaps in brand mentions across platforms, which led Cerbos to achieve a 150% increase in AI visibility and 80% rise in brand awareness. Another case is Emlid, which used Siteline to discover Cloudflare configuration issues blocking AI agents from fetching their documentation, resulting in a 45% improvement in content ingestion. Trade Vision leveraged citation monitoring to measure their AI presence accurately, securing an 85% increase in AI citations by moving from estimation to measurement. These scenarios demonstrate how Siteline directly impacts lead generation, content strategy, and brand reputation in the AI era.
Siteline is designed for marketing and SEO teams who need to track brand mentions and referral traffic from ChatGPT and other AI platforms, developer-focused teams who must confirm their docs and install content are correctly fetched by coding agents like Claude Code and Cursor, and agencies requiring multi-client AI visibility management. It offers a free tier with one website and 50K agent analytics events, with paid plans starting at $49/month for small teams up to $299/month for unlimited integrations and advanced features. The platform is trusted by over 1,000 fast-growing companies and agencies. In summary, Siteline provides the essential analytics layer for a world where AI agents are a primary audience, turning unseen bot interactions into a measurable competitive advantage.
Siteline is built for marketing and SEO teams who need to track brand mentions and referral traffic from ChatGPT and other AI platforms. It also serves developer-focused teams who must confirm their documentation and installation content are correctly fetched by coding agents like Claude Code and Cursor. Agencies that manage AI visibility across multiple clients benefit from multi-website integrations and reporting APIs. Typical roles include Product Marketing Managers, Heads of Marketing, Founders and CEOs, and Content Strategists at companies ranging from startups to large enterprises. The platform is trusted by over 1,000 fast-growing companies and agencies seeking to turn AI agent interactions into measurable growth.