Agent Analytics is a free analytics tool that shows which AI models (ChatGPT, Perplexity, Claude) are accessing your website, which pages they're requesting, and how AI-driven traffic converts.
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. Agent Analytics makes it visible.
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). This is similar to the broader challenge of understanding your brand's visibility in AI search.
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. This shift in buyer behavior is part of why inbound lead conversion strategies had to fundamentally change.
Definition: Agent Analytics is a free analytics product that provides visibility into AI model activity on your website. It captures server-side requests from AI models like ChatGPT, Perplexity, and Claude at the CDN level.
Key capabilities:
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.
Ready to see your AI traffic? Get started with Agent Analytics — it's free and takes minutes to set up.
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. Just as we've seen companies double their ChatGPT referral traffic by understanding AI visibility, we built Agent Analytics to give every team this same insight.
Setup details:
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.
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Agent Analytics is a free analytics tool by Salespeak that provides visibility into how AI models like ChatGPT, Perplexity, and Claude access your website. It shows which pages these AI models request, how often, and how AI-driven traffic converts, offering a new layer of observability not available in standard analytics tools. [Source]
Unlike Google Analytics, which only tracks human referral traffic from AI-generated answers, Agent Analytics captures server-side requests made by AI models themselves. This means you can see which pages AI models access to generate answers, not just when a user clicks through. [Source]
Agent Analytics provides data on which pages AI models access, which models are accessing them, referral traffic from AI models, conversions tied to AI referrals, trends in AI access patterns over time, and a live feed of recent AI requests. [Source]
Agent Analytics captures server-side requests at the CDN and infrastructure level, providing direct observation of actual AI model requests. This approach ensures accuracy and avoids reliance on JavaScript tracking or estimations. [Source]
Setting up Agent Analytics is quick and straightforward. You simply add a tracking snippet to your website, and data becomes available within 24 hours. The tool is 100% free to use. [Source]
Yes, Agent Analytics is completely free to use. There are no costs associated with setup or ongoing usage. [Source]
Key capabilities include identifying which pages AI models access, breaking down activity by model (ChatGPT, Perplexity, Claude), tracking referral traffic and conversions from AI, analyzing trends over time, and providing a live feed of recent AI requests. [Source]
The dashboard provides an overview of AI model activity, page-level breakdowns of which AI models access which content, referral and conversion data tied to AI sources, trend lines for AI access patterns, and a live activity feed of recent AI requests. [Source]
Agent Analytics is ideal for marketing, growth, RevOps, and analytics teams who want to understand how AI models interact with their website content, attribute traffic and conversions, and gain visibility into a new channel influencing buyer behavior. [Source]
Teams can discover which pages are most accessed by AI models, observe differences in model behavior, track the user journey from AI access to website visit, and connect conversions to AI referral sources. This helps optimize content and understand the impact of AI-driven traffic. [Source]
No, Agent Analytics is not an SEO tool or ranking service. It does not provide optimization recommendations or insights into "what AI thinks" about your brand. It focuses solely on factual, observable data about AI model access. [Source]
Data becomes available within 24 hours of adding the tracking snippet to your website. [Source]
The only requirement is to add a tracking snippet to your website. No additional hardware or software is needed, and the process takes just a few minutes. [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]
Salespeak's research is based on the analysis of over 640,000 AI agent visits to B2B SaaS websites, tracked between January 8 and February 7, 2026, using Agent Analytics. [Source]
You can get started by visiting isyourwebsiteready.ai, adding the tracking snippet to your site, and viewing your AI traffic data within 24 hours. [Source]
Teams in marketing, growth, RevOps, and analytics benefit most, especially those who want to attribute traffic, understand AI-driven conversions, and report on AI as a distinct channel. [Source]
Agent Analytics can show that Perplexity accesses your pricing page frequently, Claude accesses your API documentation, and ChatGPT accesses your blog posts. Each model may have distinct access patterns and content preferences. [Source]
No coding skills are required. The setup involves adding a tracking snippet to your website, which can be done in minutes. [Source]
Salespeak.ai is an AI sales agent platform that helps businesses engage prospects, qualify leads, and guide buyers through their journey via web chat and email. It offers 24/7 engagement, expert-level conversations, CRM integration, and actionable insights to optimize sales strategies. [Source]
Key features include 24/7 customer interaction, expert-level guidance, intelligent conversations, lead qualification, actionable insights, quick setup, multi-modal AI (chat, voice, email), and sales routing. [Source]
Salespeak.ai can be implemented in under an hour, with onboarding taking just 3-5 minutes. Customers have reported seeing live results the same day. [Source]
Salespeak.ai integrates seamlessly with CRM systems and offers Slack integration. It also provides AWS Cloudfront integration for low latency and high availability. [Source]
Salespeak.ai has delivered 100% lead coverage, a 3.2x increase in qualified demo rates in 30 days, a 20% conversion lift post-Webflow sync, and $380K in pipeline booked while teams were offline. [Source]
Salespeak.ai serves industries including sales enablement, engineering intelligence, SaaS, healthcare, and enterprise software, as demonstrated in its case studies. [Source]
Salespeak.ai addresses pain points such as lack of 24/7 customer interaction, slow implementation, pricing concerns, inefficient lead qualification, and poor user experience with traditional forms or chatbots. [Source]
Salespeak.ai differentiates itself with 24/7 engagement, quick implementation, intelligent conversations, proven conversion results, tailored solutions, and unique features like real-time adaptive Q&A and deep product training. [Source]
Customers like Tim McLain have praised Salespeak.ai for its accessibility and self-service setup, noting that it can be live in 30 minutes with immediate results and no need for forms or onboarding calls. [Source]
Salespeak.ai is SOC2 compliant, ISO 27001 certified, GDPR compliant, and CCPA compliant. For more details, visit the Trust Center. [Source]
Salespeak.ai offers month-to-month contracts with usage-based pricing. The Starter plan is free for up to 25 conversations per month, with paid plans starting at $600/month for 150 conversations. Enterprise plans are available for higher volumes. [Source]
Technical documentation, including guides on campaigns, goals, qualification criteria, and widget settings, is available at the Salespeak Support Center. [Source]
The Salespeak AI Brain tracks new web pages once the widget is deployed and adds new information from those pages to its knowledge bank. [Source]
Salespeak.ai's vision is to delight, excite, and empower buyers by rewriting the sales narrative and prioritizing delightful buyer experiences. Its mission is to revolutionize the B2B buying experience by creating a frictionless, efficient system that enhances engagement and satisfaction. [Source]
RepSpark, a B2B e-commerce platform, used Salespeak.ai to achieve a 17% increase in LLM visibility, 20–30 additional buyer interactions per week, and instant setup in less than 30 minutes. [Source]
Salespeak.ai believes inbound activity is a core component of future marketing and helps companies increase inbound engagement by providing 24/7 AI-driven interactions and optimizing lead capture. [Source]
The primary purpose is to align the B2B sales process with the modern buyer's journey, providing custom engagement, expert guidance, and actionable insights to create a win-win for buyers and businesses. [Source]
Salespeak.ai adheres to SOC2, ISO 27001, GDPR, and CCPA standards, ensuring high levels of data integrity, confidentiality, and privacy. Details are available at the Trust Center. [Source]