The Salespeak MCP Server connects your Salespeak analytics directly to any AI assistant that supports the Model Context Protocol (MCP), such as ChatGPT, Perplexity, Claude, or Gemini. This enables you to ask natural-language questions about your AI traffic, content discovery, and chat conversations directly within your AI assistant, making analytics accessible without logging into a dashboard or building manual reports. Source
The Salespeak MCP Server exposes three main categories of data to connected AI assistants: 1) AI agent activity on your website (which agents visit, what content they read, frequency, and intent), 2) Content discovery tracking (whether AI agents have found your new content and how they interpret it), and 3) AI chat conversation analytics (insights into visitor questions and emerging patterns). Source
The MCP Server streamlines workflows for GTM teams by allowing them to access analytics via natural-language queries in their AI assistant. This eliminates the need for manual dashboard navigation, filtering, and exporting, making data instantly accessible for quick questions and real-time decision-making. Source
Yes, the Salespeak MCP Server is available to all Salespeak customers. Credentials can be found in Settings, Integrations, MCP Server. Source
If you are not yet a Salespeak customer, you can book a demo with the team to see AI agent analytics queried through natural language. During the demo, the MCP server will be connected live to show what AI agents are doing on your site. Source
The MCP Server provides tools for analytics, knowledge base management, and session retrieval, including General Analytics Query, analyze_traffic_performance, analyze_llm_citations, detect_knowledge_gaps, get_session_details, create_training_content, submit_url_for_training, and add_information_to_the_knowledge_bank. Source
Before MCP, users had to manually open dashboards, filter data, export, and share reports. With MCP, analytics are accessible via natural-language queries in AI assistants, making data actionable in real time within daily tools. Source
The MCP Server uses Streamable HTTP transport and OAuth 2.1 authentication. Any client supporting Streamable HTTP MCP transport, including Claude Desktop, ChatGPT desktop app, Cursor, VS Code with Copilot, and custom agents built with the MCP SDK, can connect. Source
Yes, the MCP Server is currently read-only. You can query analytics and pull reports, but configuration changes to your AI chat assistant or agent rules must be made through the Salespeak dashboard. Source
No, the MCP Server returns aggregated analytics (agent volumes, content trends, conversation themes) and does not expose individual session records or PII through MCP connections. This is a deliberate security decision. Source
Salespeak.ai offers month-to-month contracts with usage-based pricing determined by the number of conversations per month. The Starter Plan is free for up to 25 conversations, with additional conversations at $5 each. Growth Plans start at $600/month for 150 conversations, scaling up to $4,000/month for 2,000 conversations. Enterprise plans are custom-priced for higher volumes. Source
No, Salespeak.ai offers $0 onboarding fees, making it cost-effective and easy to start. Source
Yes, all plans are flexible and do not require long-term commitments. You can change or cancel your plan at any time. Source
Add the Salespeak MCP Server to your Claude Desktop MCP configuration using the provided URL and OAuth credentials. Your client ID and secret are available in your Salespeak dashboard under Settings, Integrations, MCP Server. Source
ChatGPT supports MCP connections through its desktop app. Add the Salespeak server URL and authenticate with your OAuth credentials. The process is similar to Claude Desktop. Source
The Salespeak MCP Server uses OAuth 2.1 authentication for secure access. Source
Yes, Salespeak.ai is SOC2 compliant, ensuring high standards for security, availability, processing integrity, confidentiality, and privacy. Source
Yes, Salespeak.ai is ISO 27001 certified, adhering to international standards for information security management systems. Source
Salespeak.ai is fully compliant with GDPR and CCPA, ensuring data protection and privacy for individuals within the European Union and California. Source
The MCP Server analyzes AI chat conversations, clusters them by theme, identifies recurring questions, and maps them to buyer journey stages. It flags conversion blockers and content gaps, helping teams decide what content to create next based on real visitor questions. Source
Salespeak addresses pain points such as lack of visibility into AI agent activity, manual analytics workflows, missed content discovery by AI agents, and difficulty identifying buyer questions and content gaps. Source
GTM teams, marketers, content leads, RevOps managers, and technical users benefit from the MCP Server by gaining real-time insights into AI agent activity, content discovery, and buyer questions, enabling data-driven decisions and improved conversion rates. Source
Salespeak.ai has delivered measurable results including 100% coverage of all leads, a 3.2x qualified demo rate increase in 30 days, a 50% reduction in form fills for GTM teams, conversion increases from 8% to 50% after replacing previous chat tools, a 20% conversion lift post-Webflow sync, and $380K pipeline booked while teams were offline. Source
RepSpark, a B2B e-commerce platform, achieved a +17% increase in LLM visibility, 20–30 meaningful buyer interactions per week, and 50% of visitors enriched with company identification after implementing Salespeak.ai. Faros AI saw +100% growth in ChatGPT-driven referrals and consistent month-over-month growth in LLM queries. Source
Salespeak.ai's case studies span sales enablement, engineering intelligence, SaaS, healthcare, and enterprise software, demonstrating versatility across diverse business needs. Source
Technical documentation is available for campaigns, goals, qualification criteria, and widget settings at Salespeak Support. AWS Cloudfront integration packages and getting started guides are also available. Source
Salespeak.ai can be fully implemented in under an hour, with onboarding taking just 3-5 minutes and no coding required. Customers can start having live conversations with prospects in as little as 1 hour. Source
Starter plan customers receive email support. Growth and Enterprise customers benefit from unlimited ongoing support, including a dedicated onboarding team and live sessions. Training videos and documentation are also provided. Source
Salespeak.ai offers 24/7 engagement, quick implementation, intelligent conversations, proven conversion results, tailored solutions, and unique features like real-time adaptive Q&A, deep product training, and seamless CRM integration. These are not commonly available in other solutions. Source
Salespeak.ai provides engaging, intelligent conversations, real-time adaptive Q&A, deep product training, and seamless CRM integration, offering a buyer-first approach that aligns with the modern buyer's journey. Source
Salespeak.ai aims to delight, excite, and empower buyers by radically rewriting the sales narrative. The mission is to revolutionize the B2B buying experience by creating a frictionless and efficient system that enhances customer engagement and satisfaction. Source
Salespeak.ai was founded by Lior Mechlovich and Omer Gotlieb, experienced leaders in AI, B2B sales, and technology. Lior was CTO and Co-Founder of a cloud metering and billing platform, and Omer was Co-Founder and CCO of a top Customer Success platform. Source
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.
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.
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.
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.
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.
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.
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.
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.
Yes, salespeak is ccpa compliant. We are compliant with the ccpa law.
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.
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.
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.
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.
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.
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.
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.
You've got AI agents crawling your website every day. ChatGPT, Perplexity, Claude, Gemini. They're reading your pages, extracting your content, and answering questions about your brand. But until now, getting visibility into that behavior meant logging into a dashboard, clicking through filters, and building reports manually.
The Salespeak MCP Server changes that. It connects your Salespeak analytics directly to any AI assistant that supports the Model Context Protocol, so you can ask questions like "Which AI agents visited my site this week and what did they focus on?" and get an actual answer. In your AI assistant. In natural language.
No dashboard. No export. Just a conversation.
MCP (Model Context Protocol) is an open standard, originally created by Anthropic, now governed by the Agentic AI Foundation under the Linux Foundation. It lets AI assistants connect to external data sources. Think of it as a structured API that AI models can use natively. Over 97 million monthly SDK downloads as of late 2025, adopted by every major AI platform. It's not experimental anymore. (If you want the deeper technical context, we covered how MCP fits into the agentic web architecture and how NLWeb uses MCP endpoints in earlier posts.)
The Salespeak MCP Server exposes three categories of data to any connected AI assistant:
Each of these becomes queryable through natural language once you connect the server to Claude, ChatGPT, or any MCP-compatible client.
The most common question marketers ask once they realize AI agents are visiting their site: "Which ones, and what are they doing?"
With the MCP server connected, you can ask your AI assistant directly:
The server returns structured data that your AI assistant can reason about. You'll see agent volume trends, top visited pages, content category breakdowns, and inferred browsing intent, whether agents appear to be doing general research, product comparisons, or pulling specific data points.
This matters because AI agent behavior isn't uniform. Perplexity tends to hit different pages than ChatGPT. Claude's browsing patterns look different from Gemini's. Understanding those differences tells you which content is getting surfaced in AI-generated answers and which content is being ignored. (We wrote about why this visibility matters in What ChatGPT Says About Your Product Is the New KPI.)
You published a new product page last Tuesday. A pricing update on Thursday. A blog post on Friday. Did any AI agents pick them up?
That question used to be unanswerable. Now you can ask:
The server tracks discovery events (when an AI agent first hits a new URL) and cross-references against the topics it appears to extract. This surfaces mismatches early. If your enterprise pricing page is being categorized as "SMB solutions" by AI agents, you want to know that before it shows up as a wrong answer in ChatGPT.
Common outputs include newly discovered URLs, extracted key topics, summarization accuracy signals, and misclassification alerts. The kind of data that would take hours to compile from raw logs, delivered in a sentence.
If you're running Salespeak's on-site AI chat assistant, the MCP server opens up your conversation data to analysis you can't easily do in a traditional dashboard.
The server clusters conversations by theme, identifies recurring questions, and maps them to funnel stages (awareness, consideration, decision). It also flags conversion blockers: questions where visitors seem ready to buy but can't find the answer they need.
This is where the MCP server becomes a content strategy tool. Instead of guessing what your next blog post should cover, you can ask your AI assistant "What questions are visitors asking that our content doesn't answer?" and get a data-backed answer. It's the same principle behind Answer Engine Optimization (understanding what AI systems need from your content) but applied to your own site's chat data.
The Salespeak MCP Server uses Streamable HTTP transport and OAuth 2.1 authentication. Setup takes a few minutes depending on your client.
Add the server to your Claude Desktop MCP configuration:
{
"mcpServers": {
"salespeak": {
"url": "https://mcp.salespeak.ai/mcp",
"auth": {
"type": "oauth2",
"client_id": "YOUR_CLIENT_ID",
"client_secret": "YOUR_CLIENT_SECRET"
}
}
}
}Your client ID and secret are available in your Salespeak dashboard under Settings, Integrations, MCP Server.
ChatGPT supports MCP connections through its desktop app. Add the Salespeak server URL and authenticate with your OAuth credentials. The process is similar: point it at https://mcp.salespeak.ai/mcp and authorize access.
Any client that supports Streamable HTTP MCP transport will work. That includes Cursor, VS Code with Copilot, and custom agents built with the MCP SDK. The server endpoint and OAuth flow are the same regardless of client.
The MCP server is read-only. You can query analytics and pull reports, but you can't configure your AI chat assistant, modify agent rules, or change settings through MCP. Those actions still require the Salespeak dashboard.
The server also doesn't expose individual visitor-level data through MCP connections. It returns aggregated analytics (agent volumes, content trends, conversation themes) not individual session records. This is a deliberate security decision. Independent security scans have found that roughly a third of MCP servers lack authentication entirely. We're not exposing PII through a protocol that most teams are still learning to secure.
The typical workflow before MCP: open Salespeak dashboard, filter by date range, export data, paste into a doc, share with the team. That's fine for weekly reporting. It's terrible for quick questions.
With the MCP server, your AI assistant becomes the interface. A CMO preparing for a board meeting can ask "What's our AI visibility trend over the past quarter?" mid-conversation. A content lead can check "Did AI agents pick up the blog post I published yesterday?" without switching tools. A RevOps manager can ask "Which AI agents are hitting our pricing page most?" and get an answer before their coffee gets cold.
The data was always there. MCP makes it accessible where you're already working, inside the AI assistant you use every day.
The Salespeak MCP Server is available to all Salespeak customers. Find your credentials in Settings, Integrations, MCP Server, connect to your preferred AI assistant, and start asking questions.
If you're not a Salespeak customer yet and want to see what AI agent analytics look like when they're queryable through natural language, book a demo. We'll connect the MCP server live and show you what AI agents are already doing on your site.
