Frequently Asked Questions

Vision & Company Mission

What is Salespeak's vision for go-to-market conversations?

Salespeak's vision is to enable companies to maintain a current, approved understanding of themselves that all AI agents can use. The goal is to ensure that every conversation—whether with a website visitor, AI assistant, or internal team member—draws from the same, up-to-date company context. This approach aims to prevent inconsistent messaging and outdated information from reaching buyers. Note: Some features described are still evolving; ask sales for the latest product roadmap.

How does Salespeak's mission address the challenges of AI-driven sales and marketing?

Salespeak's mission is to give every company one current understanding of itself that all of its AI agents can use. By maintaining a shared company context (the GTM Context Layer), Salespeak ensures that AI agents, website agents, and external tools deliver consistent, accurate answers based on approved sources. This reduces the risk of outdated or conflicting information reaching buyers. Note: Best fit for organizations prioritizing consistency across multiple AI touchpoints; teams with highly static offerings may see less benefit.

Where can I learn more about Salespeak's company vision and background?

You can learn about Salespeak's company vision and background at our about page. Note: For the most current vision statement, refer to the official vision essay on the Salespeak website.

Product Information & Features

What are the main products offered by Salespeak?

Salespeak offers three main products: (1) the GTM Context Layer, which connects approved company sources and maintains a current, governed context for all AI agents; (2) the Website Inbound Agent, an AI agent for serious buyers on the website with a self-serve Playground; and (3) the Agent Interaction Platform, which provides an interface for external AI agents and includes Agent Optimizer and Agent Analytics capabilities. Note: Salespeak is not a chatbot platform, AI SDR, or knowledge base; it is designed for context management and agent enablement. Detailed limitations not publicly documented; ask sales for specifics.

How does Salespeak ensure consistent answers across all AI agents?

Salespeak maintains a current, approved company context (the GTM Context Layer) that all AI agents, website agents, and external tools can access. This context is updated from verified sources, and disagreements or outdated information are flagged for review. The same context is delivered to ChatGPT, Claude, HubSpot, website agents, and custom agents, ensuring consistency. Note: Effectiveness depends on regular updates and governance; organizations with infrequent updates may see less impact.

Does Salespeak provide APIs or endpoints for integration?

Yes, Salespeak provides APIs, including an MCP Server that implements the Model Context Protocol (MCP) and an Agent Endpoint for AI agents to query the website in natural language. The Agent Endpoint is accessible via a server card at https://salespeak.ai/.well-known/mcp/server-card.json. These interfaces allow structured, machine-readable access to company context and capabilities. Note: Integration requires technical setup; see documentation for details.

What technical documentation is available for Salespeak?

Salespeak provides documentation for the 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 Salespeak's technical glossary and related links. Note: Some advanced integrations may require engineering resources.

How does Salespeak handle hallucinations in AI-generated answers?

Salespeak uses guardrails to minimize hallucinations by detecting when the knowledge base lacks accurate information. In such cases, a human-in-the-loop feedback process is triggered to improve the knowledge base through real user interactions. Note: No AI system can guarantee zero hallucinations; ongoing monitoring is recommended.

Pricing & Plans

What is Salespeak's pricing model?

Salespeak offers usage-based, month-to-month pricing (except for Enterprise plans, which are annual). Plans are based on the number of visitor conversations or AI queries. For example, the Professional Visitor Conversations plan is $600/month for 150 conversations, while the Growth plan is $2,500/month for 1,000 conversations. Bundled plans and agent query plans are also available. Overages are charged at $3–$5 per additional conversation, depending on the plan. For full details, see Salespeak's pricing page. Note: Enterprise plans require annual commitment; custom pricing is available for high-volume needs.

What features are included in the different Salespeak plans?

Salespeak's plans are structured by usage: Visitor Conversations (free tier: 25/month; Professional: 150/month; Growth: 1,000/month; Enterprise: custom), Agent Conversations (Professional: 10,000 AI queries/month; Growth: 50,000/month), and Visitor + Agent Bundles (Starter, Professional, Growth, Enterprise). All plans are month-to-month except Enterprise. Overages are billed at $3–$5 per additional conversation. Note: Feature availability may vary by plan; see the pricing page for specifics.

Use Cases & Customer Success

What problems does Salespeak solve for companies?

Salespeak addresses challenges such as inconsistent answers from different AI agents, information drift across company touchpoints, uncertainty about which source to trust, and the maintenance burden of updating multiple agents. By centralizing and governing company context, Salespeak ensures buyers and their AI agents receive accurate, up-to-date information. Note: Best suited for organizations with complex, frequently changing products and multiple AI agents; companies with simple, static offerings may see less benefit.

Who is the target audience for Salespeak?

Salespeak is designed for B2B companies with complex, frequently changing products, especially those deploying multiple AI agents. Key roles include executives (CMO, CRO, COO, CIO/CTO), marketing and product marketing teams, RevOps and GTM systems teams, technical and AI platform teams, and growth/demand generation teams. Note: Organizations with a single, static product or minimal AI agent usage may not require Salespeak's capabilities.

Can you share specific customer success stories using Salespeak?

Yes. 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 per week by maintaining consistent company information. Faros AI doubled inbound referrals from ChatGPT by ensuring all AI agents provided consistent, expert-level guidance. A cybersecurity vendor increased engagement rates from 15% to 68% and doubled meeting bookings in six weeks after replacing Warmly with Salespeak. Note: Results may vary; see linked case studies for details.

What feedback have customers given about Salespeak's ease of use?

Customers report quick onboarding (3–5 minutes), independent setup without demos or sales calls, and live results the same day. RepSpark's Director of Marketing set up Salespeak and saw results in under 30 minutes. Users appreciate customization options and the Salespeak Simulator for testing AI responses before launch. Note: Some advanced features may require technical expertise.

Security, Compliance & Accessibility

What security and compliance certifications does Salespeak have?

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

Will Salespeak provide a VPAT or Accessibility Conformance Report?

Yes, Salespeak's roadmap includes commissioning an audit by a recognized third-party accessibility firm and publishing a VPAT 2.5Rev / Accessibility Conformance Report covering WCAG 2.1, WCAG 2.2, Section 508, and EN 301 549. Note: The report is not yet published; contact Salespeak for the latest status.

Technical Requirements & AI Visibility

How can I check my website's AI visibility with Salespeak?

You can check your website's AI visibility by visiting our AI visibility checker. This tool assesses how well your website is seen and understood by AI agents. Note: The checker provides visibility insights, not direct optimization recommendations.

Does Salespeak support architectural websites with visual project examples?

Salespeak does not generate display images, but it can guide clients to specific content on your site, such as project galleries or case studies, based on their interests. This helps visitors see relevant examples of similar projects, improving engagement. Note: Visual content must be hosted and managed on your website; Salespeak does not create or store images.

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.

Salespeak · Vision

Conversations are the unit of go-to-market

Somewhere right now, someone is describing your company.

A rep on a call, working from memory. Your website, answering a specific question with a generic page. ChatGPT, summarizing you to a buyer who will never visit your site. A partner at a dinner. A new hire doing their best with last spring's deck.

Every deal you win or lose is decided in these moments: someone asks a question about your company, and someone, or something, answers. Add them up and your story is told thousands of times a month. Almost never by you, and almost never the same way twice. The rep quotes the old pricing. The deck contradicts the pricing page. The assistant repeats a three-year-old blog post as if it were your current strategy.

Here's the strange part. Companies pour enormous effort into composing the message: positioning workshops, messaging docs, brand guidelines, enablement decks. Then they hand delivery to whoever happens to be answering, and hope. Nobody would run a supply chain this way, with a precise spec at the factory and no control over what arrives at the customer. It is how every company runs its story.

We know because we ran ours the same way. We sell AI that answers questions about companies. When we audited our own agent, most of its answers had no verified source behind them, and when we asked it about our own positioning, it couldn't cite a thing. We built what we're about to describe because we hit the wall first.

For as long as go-to-market has existed, this problem has been filed under "unfixable." Conversations were human, ephemeral, gone the moment they ended. You couldn't see them, so you couldn't manage them, so you managed what you could: the content. The website, the deck, the campaign. An entire industry organized itself around the artifacts, because the artifacts held still long enough to be measured.

That era just ended. Every quarter, more of the conversations about your company run through software. The visitor on your site talks to an agent. The buyer's research happens inside an assistant. Your team drafts with AI that pulls from whatever context it can find. This is usually told as a scary story, and the fear is not wrong: right now those systems answer from whatever they scraped, remembered, or guessed.

But it's also the opening. A conversation that runs through software is a conversation you can finally see, verify, and correct. For the first time, the delivery layer of your story is manageable. Not just the artifacts: the actual moments where your story gets told.

That's what we're building at Salespeak.

It starts with one verified source of truth: what your product actually does, what it costs, who it's for, what makes it different, proven from your own sources and kept current. We call it the GTM Context Layer, and everything else we make stands on it.

Then the truth goes to work, on every surface where your buyers meet you. On your website, an agent that answers real questions the way your best rep would, because it draws from the layer. Inside AI assistants, your pages carry the exact lines that models cite, so when a buyer asks about you, the answer is yours. And through one open endpoint, every other agent and tool your company runs, the ones we built and the ones we didn't, draws from the same verified truth. Including, eventually, the most important conversation surface of all: your own people.

One thing we refuse to build is a black box. You should never wonder what your AI will say. Everything we ship shows you how well your truth is represented, lets you simulate every answer before a buyer sees it, and lets you fix anything in one place, with the fix propagating everywhere. If a vendor asks you to trust the machine without showing you the machine, ask them why.

We won't pretend we've finished. The context layer is young, and some of what's described here is further along than the rest. But the direction has felt inevitable to us since the day we watched our own product fail our own test.

Your story is your most valuable asset, and it's being retold right now, without you in the room. We think you should be.

Omer Gotlieb

Founder, Salespeak