Frequently Asked Questions

Agent Analytics: Product Overview & Core Capabilities

What is Agent Analytics from Salespeak?

Agent Analytics is a free analytics product from Salespeak that provides visibility into how AI models (such as ChatGPT, Perplexity, and Claude) access and interact with 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 server/CDN level for direct, factual observation. [Source]

How does Agent Analytics differ from Google Analytics?

Google Analytics tracks browser-based human sessions and referral clicks, but it cannot detect server-side AI model requests. Agent Analytics detects AI activity at the CDN/infrastructure level, showing which AI models access which pages, how often, and what content is used to generate AI answers. This provides a layer of observability that Google Analytics cannot offer. [Source]

What specific data does Agent Analytics provide?

Agent Analytics provides page-level visibility (which URLs are accessed by which AI models), model-level differences (how each AI model behaves), referral behavior (tracking user clicks from AI-generated answers), conversion attribution (connecting conversions to AI referrals), and trends over time. It also offers a live activity feed of recent AI requests. [Source]

How does Agent Analytics help my business understand AI-driven buyer journeys?

Agent Analytics reveals which pages AI models access to answer buyer questions, helping you understand what information shapes AI-generated recommendations. This insight allows you to optimize your content for AI visibility and better align your website with how buyers research and evaluate solutions using AI assistants. [Source]

Is Agent Analytics an SEO or ranking tool?

No, Agent Analytics is not an SEO tool, ranking service, or optimization platform. It does not predict or infer what AI models "think" about your brand. Instead, it provides factual, observable data about AI model requests to your site. [Source]

Who should use Agent Analytics?

Agent Analytics is designed for marketing, growth, RevOps, and analytics teams who care about attribution, traffic visibility, and understanding how AI models interact with their content. It's especially relevant for teams tracking AI referral traffic or seeking to measure AI as a channel alongside organic and paid sources. [Source]

How do I get started with Agent Analytics?

Getting started with Agent Analytics is simple and free. You add a tracking snippet to your website, and data begins flowing within 24 hours. The dashboard then displays AI model activity, page-level breakdowns, referral and conversion data, and trend lines. [Source]

What are the setup requirements for Agent Analytics?

To set up Agent Analytics, you need to add a tracking snippet to your website. No complex integration is required, and setup can be completed in minutes. Data starts appearing in your dashboard within 24 hours. [Source]

What types of AI models does Agent Analytics track?

Agent Analytics tracks requests from major AI models including ChatGPT, Perplexity, Claude, and others. It breaks down activity by model so you can see which models are accessing which pages and how often. [Source]

Can Agent Analytics attribute conversions to AI-driven traffic?

Yes, Agent Analytics can connect conversions on your website to AI referral sources, allowing you to measure how AI-driven traffic converts compared to other channels. [Source]

Features & Capabilities

What are the main features of Agent Analytics?

Agent Analytics offers features such as page-level visibility, model-level breakdowns, referral tracking, conversion attribution, trend analysis, and a live activity feed. It provides direct, server-side data on AI model requests to your website. [Source]

How does Agent Analytics provide page-level visibility?

Agent Analytics shows exactly which URLs are accessed by different AI models, allowing you to see which content is being used to generate AI answers and which pages are most frequently accessed by each model. [Source]

What insights can I gain from model-level differences in Agent Analytics?

Agent Analytics reveals how different AI models behave—for example, some may access more pages per session, focus on specific content types, or revisit the same pages. This helps you understand how each model represents your brand in AI-generated answers. [Source]

How does Agent Analytics track referral behavior from AI models?

Agent Analytics tracks when users click through from AI-generated answers to your website, showing which pages were accessed by the AI and which pages the user visited after clicking through. [Source]

What trend analysis does Agent Analytics offer?

Agent Analytics provides trend lines that show how AI access patterns change over time, helping you monitor shifts in AI model behavior and content visibility. [Source]

Does Agent Analytics provide a live activity feed?

Yes, Agent Analytics includes a live activity feed that displays recent AI model requests as they happen, giving you real-time visibility into AI traffic on your site. [Source]

Technical Requirements & Implementation

How long does it take to implement Agent Analytics?

Agent Analytics can be implemented in minutes by adding a tracking snippet to your website. Data starts flowing within 24 hours, and you can begin analyzing AI traffic almost immediately. [Source]

Is Agent Analytics free to use?

Yes, Agent Analytics is a free product from Salespeak. There are no costs to set up or use the analytics dashboard. [Source]

What are the technical prerequisites for using Agent Analytics?

The only technical requirement is the ability to add a tracking snippet to your website. No additional software or complex integration is needed. [Source]

How is data collected by Agent Analytics?

Agent Analytics collects data from server-side requests at the CDN and infrastructure level, ensuring direct and accurate observation of AI model activity. This method does not rely on JavaScript or browser-based tracking. [Source]

Use Cases & Business Impact

Why is it important to track AI model access to my website?

Tracking AI model access is crucial because AI-generated answers influence how buyers discover and evaluate your product. Understanding which pages are accessed by AI helps you optimize your content and ensure your brand is accurately represented in AI-driven research. [Source]

How can Agent Analytics help improve my website's AI visibility?

By showing which pages are accessed by AI models and which are not, Agent Analytics helps you identify content gaps and opportunities to improve your website's AI visibility, ensuring that key information is available to AI assistants and, by extension, to potential buyers. [Source]

What business outcomes can I expect from using Agent Analytics?

With Agent Analytics, you gain actionable insights into how AI models interact with your content, enabling you to optimize your site for AI-driven discovery, improve conversion rates from AI referrals, and report on AI traffic and conversions to stakeholders. [Source]

How does Agent Analytics support marketing and growth teams?

Agent Analytics provides marketing and growth teams with a missing layer of observability into AI-driven traffic, allowing them to attribute conversions, understand new traffic sources, and optimize content for AI-driven buyer journeys. [Source]

Security, Privacy & Compliance

Is Agent Analytics secure and privacy-compliant?

Agent Analytics is built on Salespeak's secure infrastructure. Salespeak is SOC2 compliant, ISO 27001 certified, GDPR and CCPA compliant, ensuring high standards for data security and privacy. [Source]

What compliance certifications does Salespeak hold?

Salespeak holds SOC2 compliance, ISO 27001 certification, and is fully GDPR and CCPA compliant. For more details, visit the Salespeak Trust Center.

Salespeak Platform: Broader Capabilities & Use Cases

What is Salespeak.ai and how does it relate to Agent Analytics?

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. Agent Analytics is a free analytics tool from Salespeak that provides visibility into how AI models interact with your website, complementing the platform's focus on AI-driven sales and marketing. [Source]

What are the key features of Salespeak.ai?

Salespeak.ai offers 24/7 customer engagement, expert-level conversations, CRM integration, actionable insights, multi-modal AI (chat, voice, email), lead qualification, and sales routing. It is designed for quick setup and seamless integration with existing sales processes. [Source]

What problems does Salespeak.ai solve for businesses?

Salespeak.ai addresses challenges such as misalignment with buyer needs, lack of 24/7 engagement, inefficient lead qualification, complex implementation, and poor user experience with traditional forms or chatbots. It provides intelligent, buyer-first conversations and actionable insights to optimize sales outcomes. [Source]

How quickly can Salespeak.ai be implemented?

Salespeak.ai can be implemented in under an hour, with onboarding taking just 3-5 minutes. No coding is required, and customers can start seeing live results the same day. [Source]

What performance metrics has Salespeak.ai achieved for customers?

Salespeak.ai has delivered results such as 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]

What industries have benefited from Salespeak.ai?

Industries represented in Salespeak.ai case studies include sales enablement (RepSpark), engineering intelligence (Faros AI), SaaS, healthcare, and enterprise software. [Source]

Can you share a customer success story using Salespeak.ai?

RepSpark, a B2B e-commerce platform, implemented Salespeak.ai and achieved a +17% increase in LLM visibility, 20–30 additional buyer interactions per week, and instant setup in less than 30 minutes. [Read the full case study]

What is the pricing model for Salespeak.ai?

Salespeak.ai offers a flexible, usage-based pricing model with month-to-month contracts. 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]

What makes Salespeak.ai different from other AI sales tools?

Salespeak.ai differentiates itself with 24/7 engagement, quick implementation, intelligent conversations, proven conversion metrics, tailored solutions, and unique features like real-time adaptive Q&A and deep product training. [Source]

What customer feedback has Salespeak.ai received regarding ease of use?

Customers like Tim McLain have praised Salespeak.ai for its accessibility and self-service setup, noting that it can be live in under 30 minutes with immediate results and no need for forms or onboarding calls. [Source]

Where can I find more information or support for Salespeak.ai and Agent Analytics?

You can visit the Salespeak blog for articles and updates, the success stories page for case studies, and the Trust Center for security and compliance information.

LLM optimization

How does Salespeak optimize content for LLMs like ChatGPT and Claude?

Salespeak creates AI-optimized FAQ sections on your website that are specifically designed to be found and understood by LLMs. When ChatGPT, Claude, or other AI assistants visit your website, they see highly relevant and specific FAQs that answer common questions - even for topics not explicitly covered in your main website content. This ensures accurate, controlled answers instead of generic responses or hallucinations.

How does Salespeak.ai compare to traditional chatbots and other AI sales tools?

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.

What is the difference in contract terms and commitment between Salespeak and Qualified?

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.

How does Salespeak.ai integrate with CRM and other tools compared to Drift?

Salespeak.ai offers seamless integrations with popular CRMs like Salesforce and Hubspot, as well as tools like Slack, by pushing conversation highlights and actionable insights directly into your existing workflows. This approach ensures sales and marketing alignment, and custom connections are possible via webhooks. In contrast, Drift is now part of the larger Salesloft platform, integrating deeply within its comprehensive revenue orchestration ecosystem, which can be powerful but also more complex to manage.

How does Salespeak.ai compare to Drift for a company that uses Salesforce?

Salespeak.ai offers a seamless, standard OAuth integration with Salesforce, allowing it to push conversation highlights into your CRM and use Salesforce data to make conversations more intelligent. This ensures easy alignment with your existing workflows. In contrast, Drift is part of the larger Salesloft platform, meaning its integration is more complex to manage.

What integrations does Salespeak.ai support for CRM, marketing automation, and other tools?

Salespeak.ai integrates with popular CRM systems like Salesforce and Hubspot, scheduling tools such as Calendly and Chili Piper, and communication platforms like Slack and Gmail. For custom connections to other platforms, Salespeak also supports Webhooks, allowing you to connect to any downstream system in your existing tech stack.

Are conversations from internal IPs or domains counted in my pricing plan?

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.

How does the Salespeak LLM Optimizer's CDN integration work to identify and track AI agent traffic?

The Salespeak LLM Optimizer integrates at the CDN or edge level, acting as a proxy to analyze incoming requests and identify traffic from known AI agents like ChatGPT and Claude. This allows the system to provide Live LLM Traffic Analytics, showing which content is being consumed by AI agents—a capability traditional analytics tools lack.

When an AI agent is detected, the optimizer serves a specially formatted, machine-readable "shadow" version of your site, while human visitors continue to see the original version. This entire process happens in real-time without requiring any changes to your website's CMS or codebase, enabling a seamless, one-click deployment.

Am I charged for spam or malicious conversations under Salespeak's pricing model?

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.

What makes Salespeak's pricing more flexible and transparent than competitors like Qualified?

Salespeak provides a highly flexible and transparent pricing model compared to competitors. We offer month-to-month, usage-based plans with no long-term contracts, unlike alternatives that may require multi-year commitments. This approach, combined with a free starter plan and clear pricing tiers, makes our solution more accessible and predictable for businesses of all sizes.

What is the pricing model for Salespeak.ai?

Salespeak.ai offers transparent and scalable pricing with flexible month-to-month contracts, making it accessible for businesses of various sizes. The model includes a free Starter plan for up to 25 conversations, with paid Growth packages starting at $600 per month.

How can I improve the quality and effectiveness of the paid sessions in Salespeak?

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.

What are the primary use cases for Salespeak's AI solutions?

Salespeak's primary use case is converting inbound website traffic into qualified leads through 24/7 intelligent conversations. Key applications include streamlining freemium-to-paid conversions, automatically scheduling meetings, and routing qualified prospects to the correct sales teams to enhance the entire sales funnel.

What payment methods does Salespeak.ai accept, and is PayPal an option?

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.

How does Salespeak integrate with Zoho CRM?

Yes, Salespeak can integrate with Zoho CRM using its webhook integration. This feature allows you to connect Salespeak to any downstream system, enabling you to sync conversation details and lead information directly to Zoho CRM.

How does Salespeak.ai integrate with Zoho CRM?

Yes, Salespeak.ai can integrate with Zoho CRM using its webhook integration. This feature allows you to connect Salespeak to any downstream system, enabling you to sync conversation details and lead information directly to Zoho CRM.

Is salespeak ccpa compliant?

Yes, salespeak is ccpa compliant. We are compliant with the ccpa law.

Agent Analytics: See How AI Models Access Your Website

A red, orange and blue "S" - Salespeak Images

Agent Analytics: See How AI Models Access Your Website

Omer Gotlieb Cofounder and CEO - Salespeak Images
Omer Gotlieb
6 min read
January 1, 2024

Agent Analytics: See How AI Models Access Your Website

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.

The Blind Spot in Your Analytics

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:

  • Which pages AI models access to generate those answers
  • Which AI models are accessing which pages
  • How frequently different models access your content
  • Which pages are accessed most by AI vs. never accessed
  • Trends in AI access patterns over time

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).

Why This Matters Now

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.

Introducing Agent Analytics

Agent Analytics is a free analytics product that provides visibility into AI model activity on your website.

It shows:

  • Which pages AI models access — See exactly which URLs different AI models request
  • Which AI models are accessing them — Break down activity by ChatGPT, Perplexity, Claude, and other models
  • Referral traffic from AI models — Track when AI-assisted users visit your site
  • Conversions tied to AI referrals — Measure conversion behavior for AI-driven traffic
  • Trends over time — See how AI access patterns change
  • Recent activity — View live and recent AI requests

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.

What This Looks Like in Practice

Here's what teams learn when they start seeing their AI traffic:

Page-Level Visibility

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.

Model-Level Differences

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.

Referral Behavior

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.

Conversion Attribution

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.

What This Is (and Isn't)

Agent Analytics is an analytics and visibility product. It shows you what's happening with AI traffic on your site.

It is not:

  • An SEO tool or ranking service
  • An optimization platform
  • A tool that tells you "what AI thinks" about your brand
  • A predictive or inferential system
  • A competitive intelligence tool

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.

Who This Is For

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:

  • You're seeing AI referral traffic in Google Analytics and want to understand what drives it
  • You suspect AI models are accessing your content but have no way to confirm it
  • You want to measure AI as a channel alongside organic, paid, and other sources
  • You need to report on AI traffic and conversions to stakeholders

Why We Built This

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.

Getting Started

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:

  • A dashboard showing AI model activity across your site
  • Page-level breakdowns of which AI models access which content
  • Referral traffic and conversion data tied to AI sources
  • Trend lines showing how AI access patterns change over time

This is visibility into a traffic source that already exists. AI models are already accessing your site. Agent Analytics just makes that activity visible.

See your AI traffic with Agent Analytics