Frequently Asked Questions

Agent Analytics: Features & Capabilities

What is Salespeak Agent Analytics and what does it offer?

Salespeak Agent Analytics provides a first-party view of AI agent activity on your website, alongside human visits referred by AI platforms. It captures automated requests from identified AI agents or crawlers (by agent, page, and day), tracks human visitors who arrive via AI products like ChatGPT, Claude, or Perplexity, and observes aggregate trends comparing agent requests to later outcomes such as AI-referred visits and form conversions. Agent Analytics works by connecting at the website edge (via Cloudflare, WordPress, AWS CloudFront, Vercel/Next.js, Akamai, nginx/OpenResty, or Netlify), identifying and classifying agent activity, and enabling teams to explore behavior and business impact. Note: Agent Analytics cannot connect an individual agent request to a specific human visitor or deal. Source.

What types of traffic does Salespeak Agent Analytics track that traditional analytics might miss?

Salespeak Agent Analytics tracks three main types of traffic that traditional analytics tools often miss: (1) Agent traffic—automated requests from identified AI agents or crawlers, recorded by agent, page, and day; (2) AI referrals—human visitors who click from AI products (such as ChatGPT, Claude, or Perplexity) to your site, tracked via a JavaScript snippet; (3) Observed influence—aggregate patterns between agent requests and later outcomes (like AI-referred visits and form conversions), though individual agent requests cannot be linked to specific visitors or deals. Note: Standard analytics tools like GA4 do not capture these agent-only events. Source.

Why doesn't Google Analytics show AI agent traffic, and how does Agent Analytics by Salespeak address this?

Google Analytics tracks browser-based human sessions only and cannot attribute activity to specific AI models. It does not provide citation or content access data. Agent Analytics by Salespeak detects AI model requests at the CDN level, shows ChatGPT, Perplexity, and Claude separately, and provides page, model, and citation-level insights. Note: Agent Analytics cannot attribute agent activity to individual human users. Source.

How does Salespeak measure AI and human traffic?

Salespeak measures AI and human traffic by counting AI crawler visits per bot, page, and day, and by counting human visits referred from ChatGPT, Claude, and Perplexity through a tracking snippet. It also captures conversions from HubSpot and Marketo form submissions in the browser. Note: Agent Analytics does not directly attribute conversions to specific agent requests. Source.

How does Agent Analytics work in practice?

With Agent Analytics, teams gain page-level visibility (seeing which specific pages AI models access), model-level differences (observing how different AI models access content), referral behavior (tracking which pages were accessed by AI and which pages users visit after clicking through from AI-generated answers), and conversion attribution (connecting conversions back to AI referral sources). Note: Agent Analytics cannot connect individual agent requests to specific human visitors or deals. Source.

Why is most AI agent traffic invisible to standard analytics tools like GA4?

None of the 10 million AI agent visits in Salespeak's log fired an analytics tag. This is because an agent fetching your page isn't a browser session, so GA4 has no row for it. When the human behind the question clicks through from the AI's answer, the referrer usually dies on the way, so the session that does get a row lands in Direct. Part of this traffic is invisible to your analytics, and the rest is filed under the wrong name. Note: Agent Analytics addresses this by tracking at the server or CDN level. Source.

Use Cases & Customer Results

Who can benefit from using Salespeak Agent Analytics?

Salespeak Agent Analytics is best suited for B2B companies with complex, frequently changing products, organizations deploying multiple AI agents, and teams that need to understand how AI models interact with their website content. It is particularly valuable for executives (CMO, CRO, COO, CIO/CTO), marketing and product marketing teams, RevOps, Marketing Ops, GTM systems teams, technical and AI platform teams, and growth/demand generation teams. Note: Teams seeking direct attribution of AI agent activity to individual deals may need to supplement with other tools. Source.

What are some real-world results from customers using Salespeak?

Customers have reported measurable improvements using Salespeak products: Frends turned anonymous traffic into a six-figure pipeline in six months with an 84% high-intent rate; RepSpark added 20–30 meaningful buyer interactions a week; Faros AI doubled inbound referrals from ChatGPT by ensuring all AI agents provided consistent, accurate, and expert-level guidance; a cybersecurity vendor increased engagement rates from 15% to 68% and doubled meeting bookings in six weeks after replacing Warmly; a mid-market SaaS company increased their visitor-to-meeting rate from 1.4% to 3.7% by replacing static forms with an intelligent front door powered by Salespeak. Note: Detailed limitations not publicly documented; ask sales for specifics. Source.

What problems does Salespeak help solve for companies tracking AI agent activity?

Salespeak addresses several pain points: (1) Ensuring all AI agents get the same, current version of company information; (2) Preventing company information drift across touchpoints; (3) Eliminating confusion from conflicting sources; (4) Reducing maintenance overhead for multiple AI agents; (5) Helping buyers and their AI agents get direct, accurate answers. Note: Salespeak cannot guarantee how external AI systems interpret or cite your content. Source.

Technical Requirements & Integrations

What integrations and platforms are supported by Salespeak Agent Analytics?

Salespeak Agent Analytics supports integrations with Cloudflare, WordPress, AWS CloudFront, Vercel/Next.js, Akamai, nginx/OpenResty, and Netlify. These integrations allow Agent Analytics to connect at the website edge and capture agent activity. Note: Some advanced features may require additional setup or technical resources. Source.

Where can I find technical documentation for Salespeak Agent Analytics?

Technical documentation for Salespeak Agent Analytics and related protocols is available at: MCP Server Documentation, WebMCP Documentation, NLWeb Documentation, Agent-First Web Design Documentation, Agentic Commerce Documentation, Integrations Page, and MCP SEP-1649 Draft Documentation. Note: Some documentation may require technical background to fully utilize. Source.

Security & Compliance

What security and compliance certifications does Salespeak have?

Salespeak is SOC 2 Type II compliant, with the report available upon request through the Trust Center. Its security program is aligned with ISO 27001 standards (not certified), and it is GDPR compliant. Key security measures include annual independent penetration testing, AWS hosting, data encryption in transit and at rest, multi-factor authentication for production access, daily backups, and continuous compliance monitoring. Note: ISO 27001 certification is not held; only alignment is claimed. Source.

Pricing & Plans

What is the pricing model for Salespeak Agent Analytics?

Salespeak offers usage-based pricing for Agent Analytics: Free Tier (analytics only), Professional ($500/month for 10,000 AI queries), Growth ($1,500/month for 50,000 AI queries), and Enterprise (custom pricing). All plans are month-to-month and can be canceled anytime, except for Enterprise plans, which are annual. Overages are charged at rates depending on the plan. Note: Pricing and features may change; always check the latest details on the pricing page.

Product Limitations & Acknowledged Trade-Offs

What are the limitations of Salespeak Agent Analytics?

Salespeak Agent Analytics cannot connect an individual agent request to a specific human visitor or deal. It reports observed access and aggregate influence but does not provide direct attribution between agent activity and individual conversions or revenue. Best fit for teams seeking visibility into AI agent behavior; teams needing direct attribution may require additional tools. Source.

LLM optimization

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.

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

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/.

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.

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.

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

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.

What is the pricing model for Salespeak.ai?

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.

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

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.

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?

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.

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

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.

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

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.

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

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.

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

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.

How to track AI agent access to your website

How to track AI agent access to your website

Omer Gotlieb
Omer Gotlieb
3 min read
January 1, 2024

AI systems can request pages from your website without producing the browser events used by ordinary web analytics. To understand this activity, start with the requests reaching your website infrastructure.

Salespeak Agent Analytics helps teams examine AI agent access to their websites. The useful starting point is concrete: which pages were requested, by which classified agents, and when.

Separate agent access from human referrals

An agent request is an access event. A human referral is a person arriving through a link from an AI service. These are different observations and belong in different reports.

A requested page was accessed. That does not establish that its contents appeared in a final answer, that the answer cited the page, or that a particular buyer saw it.

Likewise, an agent request does not expose the buyer's actual question. A visit to a pricing page may suggest an evaluation topic, but the topic is an inference.

Collect evidence at the appropriate layer

Browser analytics remain useful for human visits and conversions. For agent requests that do not execute browser JavaScript, examine data available at the server, edge or CDN.

Use a supported integration for your environment. Confirm which requests it covers, when collection began, how agents are classified and which verification signals are available. A user-agent string by itself should not be treated as unquestionable proof of identity.

Avoid comparing periods with different collection coverage without labeling the change.

Review the pages agents access

Start with product, pricing, documentation and comparison pages. Look for repeated access, changes over time and important pages that do not appear in the observed activity.

Then inspect the information available on those pages. Are product descriptions consistent? Are old prices still visible? Does the page explain limitations as clearly as capabilities?

Request activity can help prioritize this review. It cannot tell you exactly how an AI system interpreted each statement.

Turn observations into a useful action

Choose a page with a concrete information problem. Record the issue, make the approved correction and note when it went live.

Compare access before and after the change using consistent definitions and time windows. Account for collection changes, seasonality and shifts in agent behavior. A change in requests alone is not proof that your edit caused an improvement in answers or revenue.

For work on the information available to agents, explore Agent Optimizer. Keep that implementation work separate from claims about what an external AI system ultimately says.

Keep the measurement boundary clear

Use agent analytics to report observed access. Use human analytics to report referrals and conversions under their own attribution rules. Use a separate answer-evaluation process to assess answers or citations.

Salespeak cannot connect an individual agent request to a specific human visitor or deal. Presenting those measures separately keeps a useful signal from becoming an unsupported attribution claim.

Explore Agent Analytics to understand the agent access your website can observe.

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