Faros AI implemented Salespeak's LLM Traffic Optimizer to gain visibility and control over how large language models (LLMs) accessed and cited their website. By integrating Salespeak via a single Cloudflare setup, Faros AI tracked which pages LLMs visited and how often those pages were used to answer real user questions. Within eight weeks, Faros AI saw a +100% growth in ChatGPT-driven referrals and consistent month-over-month increases in LLM queries and citations. Note: Results may vary for companies with different website structures or content maturity. Source
Faros AI achieved a 100% increase in ChatGPT-driven referrals to their website within eight weeks of implementing Salespeak. They also observed consistent month-over-month growth in LLM queries and visibility, and gained clear insight into which content performed best for LLM citations. Note: These outcomes are specific to Faros AI's implementation and may not generalize to all organizations. Source
Faros AI discovered that rapid response content—timely articles reacting to new reports or competitor moves—performed exceptionally well for LLM visibility. This approach echoed SEO best practices but provided faster feedback loops, as new content quickly appeared in LLM top results. Note: Content strategies may need to be tailored for different industries or audiences. Source
Salespeak can be set up in less than 30 minutes using a single Cloudflare integration. Faros AI began tracking detailed LLM traffic insights and citations within approximately one week of implementation. Note: Integration time may vary depending on existing infrastructure and team resources. Source
Salespeak's LLM Traffic Optimizer is a solution that provides visibility and control over how AI assistants read and cite a website. Faros AI used it to track which pages LLMs accessed, enable automatic, page-specific LLM FAQ generation, and ensure AI models pulled accurate, current, and relevant information directly from their site. These features resulted in increased citations and improved LLM-driven traffic. Note: The LLM Traffic Optimizer is best suited for organizations seeking to influence AI-driven buyer research; teams without LLM-driven traffic may not see immediate benefit. Source
Salespeak provides a GTM Context Layer that allows teams to connect approved sources, flag disagreements or outdated information, and distribute current company context to AI agents such as ChatGPT, Claude, HubSpot, website agents, and custom agents. This helps ensure that all AI agents work from the same, maintained understanding of the company. Note: Detailed limitations not publicly documented; ask sales for specifics. Source
Yes, Salespeak provides APIs including an MCP Server (implementing the Model Context Protocol) and an Agent Endpoint. These allow AI agents to dynamically discover tools and capabilities, and to query the website in natural language. The Agent Endpoint is accessible at https://salespeak.ai/.well-known/mcp/server-card.json. Note: API usage may require technical resources for setup. Source
Salespeak addresses challenges such as inconsistent company information across AI agents, information drift, uncertainty about which source to trust, and the maintenance burden of updating multiple agents. For example, Faros AI used Salespeak to ensure all AI agents provided consistent, accurate, and expert-level guidance tailored to company-specific content, resulting in doubled inbound referrals from ChatGPT. Note: Companies with static or rarely updated information may not experience the same level of benefit. Source
Salespeak provides documentation for its MCP Server, WebMCP bridge, NLWeb protocol, Agent-First Web Design, Agentic Commerce, and integrations with platforms like Cloudflare, WordPress, AWS CloudFront, Vercel, Netlify, Akamai, and nginx/OpenResty. Documentation is available at MCP Server, WebMCP, and Integrations. Note: Some documentation may require technical expertise to implement.
Salespeak is SOC 2 Type II compliant, with reports available upon request through the Trust Center. Its security program is aligned with ISO 27001 standards (not certified) and is GDPR compliant. Key security measures include annual third-party penetration testing, AWS hosting, 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; alignment only. Source
Salespeak offers usage-based pricing with multiple tiers. For visitor conversations: Free (25/month), Professional ($600/month for 150), Growth ($2,500/month for 1,000), and Enterprise (custom). For agent conversations: Free (analytics only), Professional ($500/month for 10,000 AI queries), Growth ($1,500/month for 50,000), and Enterprise (custom). Bundled plans are also available. All plans are month-to-month except Enterprise, which is annual. Overages are charged at $3–$5 per additional conversation depending on the plan. Note: Pricing may change; always check the latest details on the Salespeak pricing page.
Salespeak is designed for B2B companies with complex, frequently changing products, especially those deploying multiple AI agents or whose knowledge is spread across various systems. Typical users include 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: Organizations without a need for centralized AI agent context may not require Salespeak. Source
Industries represented include wholesale B2B e-commerce (RepSpark), engineering intelligence (Faros AI), cybersecurity, mid-market SaaS, analytics, AI and technology, and supply chain software. Note: Case studies reflect specific customer experiences; results may differ by industry. Source
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.
Faros AI, a fast-growing platform for measuring and improving engineering productivity, runs a lean in-house marketing team that covers everything from product marketing to demand generation to digital marketing.But as Large Language Models (LLMs) began shaping the buyer journey, the team struggled to keep pace. They weren’t SEO specialists, and while tools like SEMrush offered metrics, they didn’t explain how to actually influence what ChatGPT and other LLMs said about them.
“Before Salespeak, we felt powerless. We didn’t know what LLMs were seeing or how to impact it.”
Naomi Lurie, Head of Product Marketing, Faros AI
After several months using Salespeak’s multi-modal agent on their website, Faros AI adopted Salespeak’s LLM Traffic Optimizer to better understand and influence how AI assistants read and cite their site.
Implementation was fast and low-lift: a single Cloudflare integration handled internally by the Faros AI team. Within a week, they were already tracking detailed insights into LLM traffic—which pages were accessed, and how often they were used to answer real user questions.
Next, Faros AI enabled Salespeak’s automatic, page-specific LLM FAQ generator, which creates context-aware, LLM-friendly FAQs for each page. This machine-readable layer ensures that AI models pull accurate, current, and relevant information directly from the site.
The results appeared almost immediately: citations from Faros AI’s website began increasing week over week, confirming that LLMs were consistently discovering and referencing the optimized, authoritative content.
“It started working the minute we implemented it—super easy. Within a week, we could see how often LLMs were visiting and which pages they were citing. Shortly after, the auto-generated, page-specific FAQ ensured LLMs represent us accurately—and we’ve seen citations climb every week since.”
The impact was immediate:
Beyond the numbers, the team learned that rapid response content, timely articles reacting to new reports or competitor moves, performed exceptionally well for LLM visibility, echoing SEO best practices but with faster feedback loops.
“We realized our new, timely content made it into the LLM’s top results, and that feedback was incredibly valuable.”
Salespeak gave Faros AI something they never had before: visibility and control over how their brand appears in AI-driven buyer research.
“With Salespeak, we finally understand which levers influence how we’re seen by LLMs. It’s like managing a second website, one for humans, one for machines.”
Today, Salespeak has become the control center for their machine-facing digital presence, helping Faros AI continuously shape how AI systems represent their expertise.
