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 models, conversion attribution, and trends over time. All data is captured at the CDN and infrastructure level, giving you direct observation of actual AI model requests. [Source]
Google Analytics tracks browser-based human sessions and referral clicks, but it cannot see which pages AI models access, which models are involved, or how frequently they access your content. Agent Analytics detects AI model requests at the server/CDN level, providing visibility into every page access, content reference, and citation by AI models—data that Google Analytics cannot capture. [Source]
Agent Analytics tracks metrics such as pages accessed, model views (e.g., 45.2K), and citations (e.g., 3,219). The dashboard provides a breakdown by page, AI model, referrals, and trends, allowing you to monitor AI activity in detail. [Source]
Yes, Agent Analytics can attribute conversions to AI referral sources. If your site tracks conversions, Agent Analytics connects those conversions back to the original AI model access, allowing you to measure how AI-driven traffic converts compared to other channels. [Source]
Agent Analytics shows exactly which URLs are accessed by different AI models, breaking down activity by model (e.g., ChatGPT, Perplexity, Claude). You can see which pages are accessed most, which models access which content, and how frequently each model interacts with your site. [Source]
Agent Analytics is especially valuable for marketing, growth, RevOps, and analytics teams who need attribution, traffic visibility, and a complete understanding of how different channels—including AI—drive business outcomes. [Source]
Setting up Agent Analytics is simple: add a tracking snippet to your site, and data starts flowing within 24 hours. The dashboard will then show AI model activity, page-level breakdowns, referral traffic, and conversion data. [Source]
Yes, Agent Analytics is a 100% free analytics product from Salespeak. There are no costs to get started or to use the dashboard. [Source]
You can get started and see your AI traffic by signing up on the LLM Optimizer analytics platform at this link. [Source]
Agent Analytics does not provide SEO rankings, optimization recommendations, or insights into what AI 'thinks' about your brand. It does not predict or infer AI behavior, nor does it serve as a competitive intelligence tool. It only reports factual, observable data about AI model requests. [Source]
Agent Analytics connects AI model access to referral traffic and conversions, allowing you to attribute business outcomes to AI-driven sessions. This helps you measure the impact of AI as a channel alongside organic, paid, and other sources. [Source]
Common use cases include understanding which pages AI models access, measuring the impact of AI referrals, reporting on AI-driven conversions, and optimizing content for AI discoverability. It's especially useful for teams seeing unexplained referral traffic or wanting to quantify AI's influence on their pipeline. [Source]
Agent Analytics detects AI model requests at the CDN or infrastructure level, not through browser-based tracking. This allows it to capture every page access, content reference, and citation by AI models in real time, eliminating blind spots found in traditional analytics tools. [Source]
AI referral traffic refers to human users clicking through from AI-generated answers to your website, which is visible in Google Analytics. AI model access refers to the server-side requests made by AI models to retrieve your content, which is only visible through Agent Analytics. [Source]
After adding the tracking snippet, data starts flowing within 24 hours. You will see a dashboard with AI model activity, page-level breakdowns, and trend lines. [Source]
Yes, Agent Analytics provides model-level breakdowns, so you can see, for example, if Perplexity accesses your pricing page, Claude accesses your documentation, or ChatGPT accesses your blog posts. [Source]
By showing which pages AI models access and how often, Agent Analytics helps you identify content that is frequently referenced by AI and content that is overlooked. This allows you to optimize your site structure and content for better AI discoverability. [Source]
You can read more in the blog post "Agent Analytics: See How AI Models Access Your Website" at this link.
You can use the tool at IsYourWebsiteReady.ai to check your AI traffic and determine if your website is prepared for AI agents. [Source]
Salespeak.ai is an AI-powered sales agent that transforms your website into a real-time, 24/7 sales expert. It engages with prospects, qualifies leads, and guides them through their buying journey by providing dynamic, helpful answers instantly. Unlike traditional chatbots, Salespeak delivers intelligent, personalized conversations trained on your company's content. [Source]
Key features include 24/7 engagement, expert-level conversations, CRM integration, actionable insights from buyer interactions, real-time adaptive Q&A, deep product training, and seamless integration with platforms like Salesforce, Pardot, and HubSpot. [Source]
Salespeak.ai supports custom integration using a webhook, allowing you to connect to downstream systems. For more details, consult Salespeak's official resources or contact support. [Source]
Salespeak.ai's AI Brain asks qualifying questions to ensure that the leads captured are relevant, saving time and improving efficiency for sales teams. [Source]
Salespeak.ai integrates seamlessly with CRM systems such as Salesforce, Pardot, and HubSpot, enabling real-time CRM sync and streamlined operations. [Source]
Salespeak.ai generates valuable intelligence from buyer interactions, helping businesses refine their sales strategies, understand buyer needs, and improve conversion rates. [Source]
Salespeak.ai provides round-the-clock engagement by instantly responding to customer inquiries, ensuring no lead is missed and enhancing customer satisfaction. [Source]
Unlike basic chatbots, Salespeak.ai delivers intelligent, personalized conversations trained on your company's content, provides real-time adaptive Q&A, and acts as a fully-trained expert, improving user experience and brand perception. [Source]
Salespeak.ai learns from previous conversations to continuously improve its performance, ensuring long-term enhancement in customer interactions and insights. [Source]
Salespeak.ai can be fully implemented in under an hour. Onboarding takes just 3-5 minutes, with no coding required. Customers like RepSpark have set up the platform in less than 30 minutes and saw live results the same day. [Source]
Salespeak provides training videos, detailed documentation, and the Salespeak Simulator for testing and refining AI responses. Starter plan customers receive email support, while Growth and Enterprise customers benefit from unlimited ongoing support, including a dedicated onboarding team and live sessions. [Source]
Salespeak.ai is designed for rapid deployment and ease of use. Onboarding takes 3-5 minutes, and no coding is required. Customers have reported being able to set up and see results within 30 minutes. [Source]
Salespeak offers a month-to-month pricing model based on the number of conversations per month. There are no long-term contracts, and businesses can cancel anytime. A free trial with 25 free conversations is available. [Source]
Yes, Salespeak provides 25 free conversations to start, allowing businesses to try the platform with no setup or commitment. [Source]
Yes, Salespeak is SOC2 compliant and adheres to ISO 27001 standards, ensuring the highest level of data integrity and confidentiality. For more details, visit the Salespeak Trust Center. [Source]
Salespeak.ai has delivered a 40% average increase in close rates and a 17% average increase in ticket price for users. Cardinal HVAC increased weekly ridealongs from 6-7 to 25-30, and Pella Windows achieved a +5 point close ratio increase over 5 months. [Source]
Yes, case studies include RepSpark, which set up Salespeak in under 30 minutes and saw immediate results, and Faros AI, which turned LLM traffic into measurable growth. Read more at Salespeak Success Stories.
Customers like Tim McLain reported setting up Salespeak.ai and seeing results in under 30 minutes without needing a demo or onboarding call. RepSpark also saw live results the same day, highlighting the platform's user-friendly design. [Source]
Salespeak.ai is designed for CMOs, demand generation leaders, and RevOps leaders at mid-to-large B2B enterprises, especially SaaS, AI, or technical product companies with high inbound traffic but low conversion rates. [Source]
Salespeak.ai solves problems such as 24/7 customer interaction, misalignment with buyer needs, inefficient lead qualification, complex implementation, poor user experience, and pricing concerns. It provides tailored solutions to address these pain points. [Source]
Salespeak.ai ensures continuous engagement, aligns sales with the buyer's journey, qualifies leads efficiently, offers rapid implementation, enhances user experience, and provides affordable, ROI-driven solutions. [Source]
Salespeak.ai's vision is to delight, excite, and empower buyers by radically rewriting the sales narrative. The mission is to transform the B2B sales process by acting as an AI brain and buddy, ensuring businesses meet buyers with intelligence everywhere. [Source]
Salespeak.ai was founded to transform the B2B sales process, prioritizing delightful buyer experiences. It serves a wide range of companies, including high-growth tech firms, and has demonstrated measurable results such as a 3.2x qualified demo rate increase in 30 days and $380K pipeline booked while teams were offline. [Source]
You can access Salespeak's blog articles and resources at https://salespeak.ai/blog.
The complete article is available at this blog post.
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.
