There's a new source of traffic accessing your website, sending referrals, and influencing conversions. It doesn't show up in Google Analytics. Most teams can't see it at all.
AI models—ChatGPT, Perplexity, Claude, and others—are accessing specific pages on your site right now. When users ask these AI assistants questions about your category, product, or use cases, the models retrieve information from your pages to generate answers. Some of those users then visit your site as AI referrals.
This activity is real. It's measurable. And until now, it's been invisible.
If you check Google Analytics for AI referral traffic, you might see some. But what you're seeing is incomplete—and the most important part is missing entirely.
Google Analytics shows you when a human clicks through from an AI answer to your website. That's referral traffic, and it's valuable to track.
What it doesn't show you:
The access happens at the infrastructure level—AI models make server requests, retrieve content, and use it to inform responses. None of that triggers the JavaScript tracking that powers Google Analytics.
You see the outcome (referral clicks), but not the activity that creates that outcome (page access by AI models).
Understanding which pages AI models access isn't academic. It has direct implications for how buyers discover and evaluate your product.
When a potential customer asks ChatGPT "what's the best solution for [your category]," the AI's response is shaped by which of your pages it accesses and what information it retrieves. If it accesses your homepage but not your use case pages, the answer reflects that limited view. If it accesses documentation but not positioning content, that shapes the response.
Different AI models access different pages. Perplexity might access your blog posts. Claude might access your documentation. ChatGPT might access comparison pages. Each model's behavior creates different representations of your product in AI-generated answers.
And all of this happens before the user ever clicks through to your site—if they click through at all. Many AI-assisted research sessions end without a website visit. The AI access is the entire interaction.
Agent Analytics is a free analytics product that provides visibility into AI model activity on your website.
It shows:
All data comes from server-side requests captured at the CDN and infrastructure level. This isn't modeled, inferred, or estimated—it's direct observation of actual AI model requests hitting your infrastructure.
Here's what teams learn when they start seeing their AI traffic:
You can see which specific pages AI models access. Your pricing page might get frequent requests from Perplexity. Your API documentation might see heavy access from Claude. Your blog posts might be accessed by ChatGPT.
This is observable fact—these requests happened, at these times, from these models.
Different AI models exhibit different access patterns. Some models access more pages per session. Some focus on specific content types. Some return to the same pages repeatedly.
Agent Analytics shows these differences so you can see how each model interacts with your site.
When users click through from AI-generated answers, Agent Analytics tracks that referral traffic alongside the original AI access. You can see which pages were accessed by the AI, then which pages the user visited after clicking through.
If your site tracks conversions, Agent Analytics connects those conversions back to AI referral sources. You can measure how AI-driven traffic converts compared to other channels.
Agent Analytics is an analytics and visibility product. It shows you what's happening with AI traffic on your site.
It is not:
We don't claim to know why AI models access certain pages, what topics they "care about," or how to "improve your AI ranking." Those would be speculation.
What we do provide is factual data: these models made these requests to these pages at these times. That's observable reality, not interpretation.
Agent Analytics is built for teams who care about attribution, traffic visibility, and understanding how different channels drive business outcomes.
If you're in marketing, growth, RevOps, or analytics, and you want to see how AI models interact with your content—not because you're chasing rankings, but because you want complete visibility into your traffic sources—Agent Analytics gives you that view.
This is especially relevant if:
At Salespeak, we help B2B companies engage buyers through AI. In working with customers, we kept hearing the same question: "How do we know if AI models are even accessing our content?"
Standard analytics tools couldn't answer that question. The data exists—it's in server logs and CDN access records—but it wasn't surfaced in a way that made it actionable for marketing and growth teams.
Agent Analytics makes that data visible. It's a missing layer of observability for a channel that's already influencing how buyers discover and evaluate products.
Agent Analytics is free. It takes minutes to set up—you add a tracking snippet to your site, and data starts flowing within 24 hours.
You'll see:
This is visibility into a traffic source that already exists. AI models are already accessing your site. Agent Analytics just makes that activity visible.
Agent Analytics is a free analytics product from Salespeak that provides visibility into how AI models like ChatGPT, Perplexity, and Claude access your website. It shows which pages AI models request, which models are accessing them, referral traffic from AI-assisted users, conversions tied to AI referrals, trends in AI access patterns, and recent activity. All data is based on direct server-side requests, not estimations. Source
Agent Analytics was developed to address the blind spot in traditional analytics tools, which do not show which pages AI models access on your site. Salespeak built Agent Analytics to make this invisible activity visible, helping marketing and growth teams understand how buyers discover and evaluate products through AI. Source
Google Analytics tracks human referral traffic from AI answers but does not show which pages AI models access to generate those answers. Agent Analytics fills this gap by providing direct visibility into AI model activity at the infrastructure level, including page access, model breakdowns, and conversion attribution. Source
The primary purpose of Agent Analytics is to provide factual, observable data about AI model activity on your website, enabling teams to understand how AI-driven traffic influences buyer discovery and evaluation. Source
Agent Analytics offers page-level visibility, model-level breakdowns, referral tracking, conversion attribution, trend analysis, and live activity feeds. It captures server-side requests from AI models, providing actionable insights for marketing and analytics teams. Source
Agent Analytics shows which specific pages AI models access, allowing teams to see observable facts about requests, such as frequent requests to pricing pages by Perplexity or heavy access to API documentation by Claude. Source
Agent Analytics reveals that different AI models exhibit distinct access patterns. Some models access more pages per session, focus on specific content types, or return to the same pages repeatedly, helping teams understand how each model interacts with their site. Source
Agent Analytics tracks referral traffic from AI-generated answers, showing which pages were accessed by the AI and which pages the user visited after clicking through, enabling attribution and analysis of user journeys. Source
Yes, Agent Analytics connects conversions on your site back to AI referral sources, allowing you to measure how AI-driven traffic converts compared to other channels. Source
Agent Analytics provides trend lines showing how AI access patterns change over time, including which pages are accessed most by AI models and how model behavior evolves. Source
All data in Agent Analytics is captured from server-side requests at the CDN and infrastructure level, providing factual, observable data about AI model activity. Source
Yes, Agent Analytics is free to use. The setup process takes only a few minutes, and you can start seeing your AI traffic within 24 hours. Source
To get started, add a tracking snippet to your site. Data will begin to appear within 24 hours, and you'll gain access to dashboards showing AI model activity, page-level breakdowns, referral traffic, and conversion data. Sign up here
Agent Analytics is designed for teams in marketing, growth, RevOps, and analytics who care about attribution, traffic visibility, and understanding how different channels drive business outcomes. Source
Teams can learn which pages are accessed by AI models, observe model-level differences, track referral behavior, and attribute conversions to AI-driven traffic. This helps optimize content strategy and measure the impact of AI as a channel. Source
By revealing which pages and content types are accessed by different AI models, Agent Analytics enables teams to tailor their content strategy to attract more visits from AI agents and improve visibility in AI-generated answers. Source
Agent Analytics allows teams to connect conversions and referral traffic directly to AI sources, providing a clear understanding of how AI-driven traffic contributes to business outcomes and enabling more accurate reporting to stakeholders. Source
Agent Analytics can be implemented in just a few minutes by adding a tracking snippet to your site. Data starts flowing within 24 hours, and you can begin analyzing AI traffic immediately. Source
Salespeak provides comprehensive documentation for campaigns, goals, qualification criteria, and widget settings. For AWS Cloudfront integration, a deployment package is available. Visit Campaigns Documentation and AWS Cloudfront Integration.
Agent Analytics is not an SEO tool or ranking service. It does not speculate on why models access certain pages or how to improve your AI ranking. It provides factual, observable data about AI model requests, not interpretation or optimization advice. Source
Salespeak is SOC2 compliant, ISO 27001 certified, GDPR compliant, and CCPA compliant, ensuring high standards for security, privacy, and data protection. For more details, visit the Trust Center.
Salespeak holds SOC2 compliance, ISO 27001 certification, GDPR compliance, and CCPA compliance. These certifications demonstrate commitment to security, privacy, and data integrity. Source
Agent Analytics provides direct visibility into AI model activity, which is not available in standard analytics tools like Google Analytics. It focuses on factual, server-side data about AI requests, not modeled or inferred traffic. Source
Agent Analytics is unique because it captures server-side AI model requests, provides actionable attribution and conversion data, and is free to use. It does not speculate or infer, offering only factual, observable data. Source
Salespeak has delivered measurable results, including 100% lead coverage, a 3.2x qualified demo rate increase in 30 days, a 20% conversion lift post-Webflow sync, and $380K pipeline booked while teams were offline. Source
Yes, RepSpark achieved a +17% increase in LLM visibility and 50% visitor enrichment with instant setup in less than 30 minutes. Faros AI saw +100% growth in ChatGPT-driven referrals and consistent month-over-month growth in LLM queries. Read case studies
Salespeak's case studies cover sales enablement, engineering intelligence, SaaS, healthcare, and enterprise software, demonstrating versatility across diverse business needs. Source
Tim McLain praised Salespeak's accessibility and self-service setup, stating it took him half an hour to get it live with immediate results. Salespeak is designed for quick setup and immediate value, even without technical assistance. Source
Salespeak was founded by Lior Mechlovich and Omer Gotlieb, experienced leaders in AI, B2B sales, and technology. Source
Salespeak's vision is to delight, excite, and empower buyers by radically rewriting the sales narrative. Its mission is to revolutionize the B2B buying experience by creating a frictionless, efficient system that enhances customer engagement and satisfaction. Source
You can read more about Agent Analytics in the Salespeak blog post titled "Agent Analytics: See How AI Models Access Your Website," published on January 1, 2024. Read the blog
Salespeak recommends reading "Agent Analytics: See How AI Models Access Your Website," published on January 19, 2026. Read the blog
Tags associated with Salespeak blog posts include AI, Sales AI, B2B Sales, Startups, B2B, Sales, Entertainment, Travel, Internet, Art, Science, Health, Lifehacks, Marketing, Sports, and Business. Source