Frequently Asked Questions

Product Overview & Purpose

What is Salespeak Agent Analytics and what problem does it solve?

Salespeak Agent Analytics is a platform that tracks and analyzes AI agent traffic to your website at the CDN or edge level, capturing every fetch, page, question, and citation by model in real time. It solves the problem of legacy analytics tools missing AI agent visits—59% of ChatGPT agent traffic uses raw HTTP clients, which do not trigger JavaScript-based analytics. This means your analytics stack is blind to a significant portion of buyer research happening before human contact. Note: Agent Analytics is designed for organizations that want visibility into AI-driven buyer journeys; teams focused solely on human web traffic may not benefit as much. Source

How does Agent Analytics differ from traditional analytics tools?

Agent Analytics reads traffic at the edge, before the page renders, and does not rely on tag managers or JavaScript. This allows it to capture AI agent visits that legacy analytics tools miss—server-side agents leave no client-side footprint, making your AI-research funnel invisible to traditional analytics. Agent Analytics fingerprints each model (e.g., GPTBot, ClaudeBot, PerplexityBot, Gemini), tracks the exact paths read, and attributes agent reads to human sessions and conversions. Note: Traditional analytics tools may still be necessary for tracking human user behavior. Source

Features & Capabilities

What are the key features of Salespeak Agent Analytics?

Key features include:

Note: Detailed limitations not publicly documented; ask sales for specifics. Source

Which platforms and CDNs does Agent Analytics support?

Agent Analytics supports integration with Cloudflare, WordPress, Vercel, CloudFront, Netlify, and Nginx. It operates at the CDN or edge level, requiring no code changes or tag manager setup. Note: For platforms not listed, contact Salespeak for compatibility details. Source

How does Agent Analytics attribute AI agent activity to conversions?

Agent Analytics connects the agent read to the human session it pre-educated and to the deal it influenced. For example, AI-referred visitors convert at 4.4× the rate of generic organic visitors, according to Salespeak internal research. This allows you to report on a previously invisible channel and justify investments with data. Note: Attribution accuracy may depend on your specific website setup. Source

Performance & Metrics

What are the key metrics tracked by Agent Analytics?

Agent Analytics tracks metrics such as:

Note: These metrics are based on Salespeak's monitored network and internal research; results may vary by site. Source

How quickly can I see results after deploying Agent Analytics?

You can receive a first agent-traffic snapshot of your domain in minutes after deployment. The platform runs live on your traffic for 14 days, counting, splitting by model, and attributing to conversion—no tag manager required. Most customers see actionable insights within the first hour. Note: Full attribution and deeper analytics may require additional configuration. Source

Technical Requirements & Integrations

Does Agent Analytics require code changes or a tag manager to deploy?

No, Agent Analytics operates at the CDN or edge level and does not require any code changes, JavaScript bundles, or tag manager setup. It reads traffic before the page renders, ensuring that even server-side AI agents are counted. Note: For highly customized CDN setups, consult Salespeak for deployment guidance. Source

Can Agent Analytics integrate with my existing analytics stack?

Agent Analytics is designed to complement your existing analytics stack by capturing AI agent traffic that traditional tools miss. It works independently at the edge and does not interfere with your current human analytics setup. Note: Integration with specific analytics dashboards or data warehouses may require custom configuration; contact Salespeak for details. Source

Security & Compliance

What security and compliance certifications does Salespeak Agent Analytics have?

Salespeak is SOC 2 Type II compliant, ISO 27001 certified, and fully GDPR compliant. These certifications ensure robust data protection and adherence to industry standards. For more details, visit Salespeak's Trust Center. Note: For specific compliance questions, contact Salespeak directly. Source

Use Cases & Benefits

Who can benefit most from using Agent Analytics?

Agent Analytics is best suited for B2B organizations that want to understand and optimize for AI-driven buyer journeys. It is particularly valuable for marketing, demand generation, and RevOps leaders who need visibility into pre-educated buyers, content gaps, and the impact of AI agents on pipeline and conversions. Note: Organizations focused solely on direct human web traffic may see less value. Source

What are some real-world results achieved with Salespeak products?

Customers have reported measurable results, such as:

These outcomes demonstrate the impact of Salespeak's analytics and AI engagement tools. Note: Individual results may vary; see linked case studies for details. Source

Pricing & Plans

What is the pricing model for Salespeak Agent Analytics?

Salespeak offers a flexible, usage-based pricing model. For the LLM Optimizer (which includes analytics for AI agent searches), pricing starts at $500/month for 10,000 AI searches, with $1,000/month for 50,000 AI searches and custom pricing for higher volumes. All plans include advanced CRM integration, AI-powered insights, and analytics. Analytics is free forever; you only pay when optimization is turned on. Note: For detailed pricing and custom plans, visit the Salespeak pricing page. Source

Limitations & Edge Cases

Are there any limitations or scenarios where Agent Analytics may not be the best fit?

Agent Analytics is optimized for organizations seeking visibility into AI agent traffic and its impact on buyer journeys. It may not be the best fit for teams focused solely on human web analytics or for websites with highly customized CDN setups that fall outside the supported platforms. Detailed limitations are not publicly documented; ask Salespeak sales for specifics. Source

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.

AI agents are reading your site. You can't see a single one.

31% of B2B content-page traffic is already AI agents, not humans. 0% of it shows in your legacy analytics. Agent Analytics reads it at the edge: which models, which pages, which questions, and what converts.

Agent Analytics dashboard showing total LLM visits, traffic by AI model (ChatGPT, Perplexity, Claude), and a live clickstream of AI agents reading the site in real time
Integrations

Works with your stack.

Agent Analytics reads traffic at your CDN or edge, behind whatever you already run. No tag manager, no JavaScript, no code changes.

CloudflareCloudflare
WordPressWordPress
VercelVercel
AWS CloudFrontCloudFront
NetlifyNetlify
NginxNginx

CDN-level integration. No code changes required.

The blind spot

Your analytics stack was built for human clicks. Your buyers stopped clicking.

A buyer now asks ChatGPT before they ask you. The agent reads your site, forms an opinion, and the human shows up already decided. Every tool you own is counting the humans. None of them is counting the agent that briefed them.

What legacy analytics sees
A gap.
Most AI agents run server-side and never execute JavaScript. 59% of ChatGPT agent traffic uses raw HTTP clients. Your tag-based analytics never fires, so the visit simply isn't there.
Counting humans, blind to agents
What Agent Analytics sees
All of it.
We read traffic at the edge, before the page renders. Every fetch, every page, every question, every citation, by model, in real time. No tag manager, no JS bundle, nothing for an agent to skip.
The traffic your stack throws away
From signal to action

Seeing every agent is step one. Here's what you do with it.

The visibility is the easy part. The value is in the moves it unlocks: sharper content, fewer stale answers, and a roadmap built from what AI buyers actually read.

Double down on what resonates

See which pages agents read and cite most. That's hard proof of what AI buyers find useful. Make more of it, and lift the rest of your library to the same bar.

You'd see42 agents cited /guides/llm-seo this week

Catch stale answers before they cost a deal

An agent pulls a two-year-old post with old pricing or packaging, and you catch it. Update the page so the answer a buyer gets is the current you, not a version from 2024.

You'd seeClaudeBot → /blog/pricing · last edited 2024

Write the pages agents keep asking for

Every question an agent asks that your site can't answer logs as a miss. That's your content roadmap, ranked by how often buyers actually ask.

You'd seeGPTBot asked "SOC 2 report?" → no match

Optimize for the model about to buy

Some models browse, some are ready to buy. When a high-intent model is reading you, make your pricing and comparison pages airtight. That's where the decision gets made.

You'd seeClaude · 5× more pricing-page clicks

Win the comparison while it's happening

Agents pulling your "vs competitor" pages means the shortlist is being written in real time. Sharpen those pages so you're the one that gets recommended.

You'd seePerplexityBot → /vs-competitor · 3× today

Put a number on the AI channel

Tie agent reads to the conversions they pre-educated. Report a channel that's invisible to legacy analytics, and justify the next investment with data.

You'd seeChatGPT-referred visitors convert 4.4×
The new traffic, in numbers

This is not a forecast. It is already in your logs.

31%

Of B2B content-page traffic is agents

Across the monitored network, nearly a third of traffic to B2B content pages now comes from AI agents instead of people. The share grows every month.

4.4×

Conversion vs. organic

An AI-referred visitor arrives pre-educated and converts at 4.4× the rate of a generic organic visitor. They are your best traffic, and the channel you can't currently report on.

Source · Salespeak internal research
0%

Show in legacy analytics

Server-side agents leave no client-side footprint. Your entire AI-research funnel is invisible to every analytics tool you pay for. Until you read it at the edge.

Who is actually crawling you

Not "AI traffic." Four very different visitors.

Each model reads your site differently and buys differently. Agent Analytics splits them apart so you can see who is browsing, who is comparing, and who is about to convert. A blended "bot traffic" number hides all of it.

ChatGPT
The volume
The firehose. It reads everything, broadly. +91% URL coverage in 2 months. If a page exists, GPTBot has probably seen it.
Claude
The buyer
Lower volume, far higher intent. Claude clicks pricing 5× more often, and its traffic grew 26× in five months. The doubling time is now ~20 days.
Perplexity
The closer
Sends real people. Only 1% of Perplexity visits touch your homepage: it goes straight to the deep page that answers the question, then hands off the click.
Gemini & others
The field
Gemini, Bing, and a growing field. New crawlers appear on the network monthly. Agent Analytics fingerprints each one the day it shows up.
How it works

It reads at the edge. Your engineers won't care.

No tag manager, no JS bundle, no sampling. Deploy at your CDN, behind your existing edge. Humans get your site, unchanged. Agents get counted, the moment they arrive.

01CAPTURE

Every request, at the edge.

Before a page renders, Agent Analytics logs the request server-side. Nothing for an agent to skip, no JavaScript required. The 59% of traffic legacy analytics misses, you keep.

02IDENTIFY

Which agent, which page, which question.

We fingerprint the model (GPTBot, ClaudeBot, PerplexityBot, Gemini, more), the exact path it read, and the buyer question behind the visit. 412 questions get asked of your content in a typical minute.

03ATTRIBUTE

From crawl to conversion.

We connect the agent read to the human session it pre-educated, and to the deal it influenced. The 4.4× conversion channel finally has a number next to it.

04SURFACE

Gaps you can fix.

When an agent asks something your site can't answer, you see it. 31 of every 412 questions hit a wall. Those are the pages costing you the shortlist, ranked by how often agents want them.

The growth curve
26× in 5 months
Claude agent traffic, Nov to May.
~20-day doubling
And accelerating.
The default funnel
Measured, or not.
See it on your own traffic

Run the read on your domain. See what's already happening.

Point us at your site. In one report you'll see which agents are reading you right now, which pages they pull, what they ask, and what your current stack is throwing away. Your traffic. No code change. No commitment.

10m
We read your edge logs
A first agent-traffic snapshot of your domain, in minutes.
14d
It runs live on your traffic
Counting, splitting by model, attributing to conversion. No tag manager.
You see the funnel you were missing
Your agents, your pages, your gaps, your conversions. You decide what comes next.

Legacy analytics shows you yesterday's humans. Agent Analytics shows you today's buyers.

The research happens before the click, in a channel your tools can't see. Read it while it's happening, or keep reporting on the wrong funnel.

See your agent traffic, free