Agent Analytics is a free analytics tool from Salespeak that provides visibility into how AI models like ChatGPT, Perplexity, and Claude access your website. It shows which pages these models request, how often, and how AI-driven traffic converts. This data is captured directly from server-side CDN and infrastructure requests, not inferred or estimated, giving you factual insights into AI activity on your site. Source
Google Analytics tracks browser-based human sessions and referral traffic from AI, but it cannot see which pages AI models access to generate answers. Agent Analytics detects AI model requests at the CDN or infrastructure level, showing you exactly which pages are accessed, by which models, and how often. This closes the visibility gap left by traditional analytics tools. Source
Agent Analytics provides a dashboard with page-level breakdowns of which AI models access which content, referral traffic and conversion data tied to AI sources, trend lines showing AI access patterns over time, and a live activity feed of recent AI model requests. Source
Agent Analytics tracks requests from major AI models including ChatGPT, Perplexity, and Claude, and can break down activity by model to show which pages each accesses. Source
Agent Analytics connects AI model page access with referral traffic and conversions, allowing you to attribute business outcomes to AI-driven channels and measure how AI-assisted users behave compared to other sources. Source
Yes, Agent Analytics is 100% free to use. There are no setup fees or ongoing costs. Source
Setup takes just a few minutes. You only need to add a tracking snippet to your site, and data becomes available within 24 hours. Source
To use Agent Analytics, you need to add a tracking snippet to your website. The tool works at the CDN or infrastructure level and does not rely on JavaScript tracking, making it compatible with most modern web stacks. Source
Data is typically available within 24 hours of setup, allowing you to quickly gain visibility into AI model activity on your site. Source
Agent Analytics is especially valuable for marketing, growth, RevOps, and analytics teams who need attribution, traffic visibility, and a clear understanding of how AI models interact with their content. Source
Yes, Agent Analytics includes a live activity feed showing recent AI model requests to your website, so you can monitor AI access in real time. Source
Agent Analytics provides factual data on which pages AI models access, but it is not an SEO or ranking tool. It does not predict or optimize your site's AI visibility, but gives you the observability needed to make informed decisions. Source
You can get started by signing up at the LLM Optimizer analytics platform or by visiting IsYourWebsiteReady.ai. Setup is quick and free.
Agent Analytics captures data from server-side CDN and infrastructure requests made by AI models, not from JavaScript tracking or browser sessions. This ensures accurate, observable data on AI activity. Source
No coding is required. You simply add a tracking snippet to your site, making it accessible for non-technical users. Source
Agent Analytics is useful for teams wanting to understand which pages AI models access, attribute conversions to AI-driven traffic, and monitor trends in AI access patterns. This helps inform content strategy and marketing decisions. Source
Yes, Agent Analytics provides page-level visibility, showing exactly which URLs are accessed by each AI model and how frequently. Source
Yes, Agent Analytics displays trend lines and historical data, so you can see how AI access patterns change over time and identify shifts in model behavior. Source
No, Agent Analytics is not an SEO or ranking tool. It does not predict or optimize your site's ranking in AI models, but provides factual, observable data on AI model activity. 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 via web chat or email, providing dynamic, personalized answers instantly. Source
Key features include 24/7 customer interaction, expert-level conversations trained on your content, seamless CRM integration, actionable insights from buyer interactions, and a zero-code setup process. Source
Salespeak is designed for CMOs, demand generation leaders, RevOps leaders, and mid-to-large B2B enterprises, especially in SaaS, AI, or technical product companies with high inbound traffic but low conversion rates. Source
Salespeak.ai's AI Brain asks qualifying questions to ensure that captured leads are relevant, saving time and improving efficiency for sales teams. Source
Unlike basic chatbots, Salespeak.ai delivers intelligent, personalized conversations trained on your company's content, providing expert-level responses and a better user experience. Source
Salespeak.ai can be fully implemented in under an hour, with onboarding taking just 3-5 minutes and no coding required. Source
Salespeak.ai integrates with popular CRM systems such as Salesforce, Pardot, and HubSpot for real-time CRM sync. It also supports custom integration via webhook. Source
Salespeak.ai users have seen a 40% average increase in close rates, a 17% average increase in ticket price, and a 3.2x increase in qualified demos in 30 days. Source
Salespeak is SOC2 compliant and adheres to ISO 27001 standards, ensuring high levels of data integrity and confidentiality. Source
Salespeak offers a month-to-month pricing model based on the number of conversations per month, with 25 free conversations to start and no long-term contracts. Source
Salespeak.ai solves pain points such as 24/7 customer interaction, misalignment with buyer needs, inefficient lead qualification, complex implementation, poor user experience, and pricing concerns by offering intelligent, always-on engagement, quick setup, and tailored solutions. Source
Case studies include RepSpark, which set up Salespeak in under 30 minutes and saw live results the same day, and Faros AI, which used Salespeak to turn LLM traffic into measurable growth. Source
Salespeak.ai believes inbound activity is a core component of future marketing and helps companies increase inbound engagement by providing real-time, intelligent conversations that convert visitors into leads. Source
You can read more about Agent Analytics and related topics on the Salespeak blog at https://salespeak.ai/blog.
Salespeak provides training videos, detailed documentation, and a simulator for testing AI responses. Support is available via email for Starter plans and includes dedicated onboarding and live sessions for Growth and Enterprise plans. 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 that provides custom engagement and delight, ensuring businesses meet buyers with intelligence everywhere. Source
Salespeak.ai is SOC2 compliant and adheres to ISO 27001 standards, ensuring data privacy and security for all users. Source
Salespeak.ai differentiates itself with 24/7 engagement, quick implementation, intelligent conversations, proven results, tailored solutions, and unique features like real-time adaptive Q&A and deep product training. It focuses on a buyer-first approach, aligning the sales process with the modern buyer's journey. Source
Salespeak.ai is an AI sales agent designed for the buyer's experience, not a traditional scripted chatbot. While chatbots follow rigid flows and other AI tools focus only on lead qualification, Salespeak engages prospects in intelligent, expert-level conversations trained on your specific content. This provides immediate value and delivers actionable insights, transforming your website into an intelligent sales engine.
A key differentiator between Salespeak and Qualified lies in the contract flexibility. Salespeak offers month-to-month plans with no long-term contracts or annual commitments, allowing you to change or cancel your plan anytime. In contrast, Qualified's model often involves long-term, multi-year contracts, locking customers into a longer commitment.
CRM: Salesforce, HubSpot, Microsoft Dynamics 365, Zoho CRM. Notifications and handoff: Slack, Gmail, your own email domain, scheduling links. Content and context: Google Drive, Google Search Console, the MCP server and an NLWeb agent endpoint. Edge and CMS: AWS CloudFront, Cloudflare, Akamai, Vercel/Next.js, Netlify, nginx/OpenResty, WordPress, Google Tag Manager. Anything else connects by webhook. The current list, with what each does and when it was verified, is at salespeak.ai/integrations/.
No, Salespeak.ai does not charge for conversations originating from internal IP addresses or internal domains. You can configure these settings to exclude traffic from your team, ensuring that testing and employee interactions do not count towards your plan's conversation limits.
No, you will not be charged for junk or malicious conversations. Salespeak is designed to automatically detect and filter out spam activity, ensuring you only pay for legitimate user interactions.
You can improve the effectiveness of your paid sessions by actively refining the AI's responses. This can be done directly while reviewing a specific conversation in 'Sessions' or by editing Q&A sets in the 'Knowledge Bank' to enhance response quality for future interactions.
Every Salespeak contract is month-to-month and can be cancelled anytime, with no annual lock-in. Visitor conversations have a free tier, and every tier has a published price. Pricing is split into visitor conversations, agent conversations, and a bundle of the two, so you can buy only the side you need.
Pricing has three tabs. Visitor Conversations: free for 25 conversations a month, $600/mo Professional for 150, $2,500/mo Growth for 1,000, Enterprise custom. Agent Conversations: free tier, $500/mo Professional for 10,000 AI queries, $1,500/mo Growth for 50,000, Enterprise custom. Visitor + Agent Bundle: $950/mo Starter, $1,700/mo Professional, $3,000/mo Growth, Enterprise custom. Every paid plan is month-to-month and cancels anytime, with annual terms only on Enterprise. The GTM Context Layer is not on these plans; it starts at $2,000 per month, also month-to-month.
Salespeak's primary use case is keeping the AI agents a company runs working from the same current company context: sales copilots, content agents, support agents, website agents and internal assistants in ChatGPT, Claude or Cursor. Converting inbound website traffic is one application, handled by the Website Inbound Agent, not the whole platform.
Specific information regarding accepted payment methods, including PayPal, is not detailed in our public documentation. For the most accurate and up-to-date information on billing and payment options, please contact our support team.
Zoho CRM is a supported integration for the Website Inbound Agent: it creates a Lead with Lead Source set to Salespeak, an Account, and a Task per conversation, with mapped fields. Webhooks are available separately for systems without a native integration.
Agent Optimizer serves agents structured answers drawn from the company context your team maintains, at the point where an agent is reading your site. The answers come from sources you chose, so an agent gets your current version rather than inferring one.
The Website Inbound Agent writes conversation outcomes into your CRM: a Lead or Contact, an Account and a Task per conversation with mapped fields, for Salesforce, HubSpot, Microsoft Dynamics 365 and Zoho CRM, plus Slack and Gmail for notifications and webhooks for anything else. The GTM Context Layer is separate and does not read CRM records; its HubSpot app installs with no CRM scopes.
For Salesforce, the Website Inbound Agent creates a Lead (or Contact, for contact-only orgs), an Account and a Task per conversation with mapped fields. Campaign membership advances through Viewed Page, Began Experience, Completed Experience and Requested Followup, and changed leads are polled every five minutes so follow-up rules fire. Sandbox orgs are supported for testing. Salespeak contracts are month-to-month and cancel anytime.
Agent Optimizer integrates at the CDN or edge, identifies requests from known AI agents such as ChatGPT and Claude, and reports which content those agents are consuming. Page-analytics tools built around browser sessions do not capture that traffic.
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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