Frequently Asked Questions

Product Information

What is the Agent Interaction Platform from Salespeak?

The Agent Interaction Platform is a software layer that allows external AI agents to interact with your company in a machine-readable way. It provides a structured interface for agents to discover your offerings, get answers grounded in your approved company context, and, in the future, invoke specific workflows under your authentication and policy rules. It runs alongside your website and does not replace it. Note: Supported actions for agents are on the roadmap and not available today. Learn more.

How does the Agent Interaction Platform differ from a chat widget or chatbot?

A chat widget is designed for human visitors and requires a person to initiate a conversation in the browser. The Agent Interaction Platform serves software agents through endpoints that return structured responses, with no widget involved. Salespeak's Website Inbound Agent is for human visitors, while the Agent Interaction Platform is for agent-to-agent interaction. Note: The Agent Interaction Platform does not replace chatbots for human users. More on Website Inbound Agent.

What are the main capabilities of the Agent Interaction Platform?

The Agent Interaction Platform currently supports two main capabilities: (1) Structured discovery, allowing agents to understand available products, resources, and operations via a public discovery API and NLWeb agent endpoint; (2) Governed answers, providing agents with current, approved answers grounded in your connected knowledge sources. Supported actions (such as workflow invocation) are on the roadmap and not available yet. Note: Action operations are not exposed in production as of now. See capabilities.

Does the Agent Interaction Platform replace my website?

No, the Agent Interaction Platform does not replace your website. Human visitors continue to use the visual website as before. The agent-facing layer is an addition for software agents, and agents that do not use it will continue to read your pages. Note: The platform is designed to complement, not replace, your existing web presence. More info.

Features & Capabilities

How does the Agent Interaction Platform keep answers current and accurate?

Answers are grounded in the knowledge sources your team connects, including your website, uploaded files (PDF, Word, PowerPoint, Excel, CSV, text, Markdown), free-text Q&A added in the app, and a shared Google Drive folder. The website is crawled daily, Google Drive changes sync on a schedule, and files and Q&A update when your team edits them. Note: Salespeak does not control what an external AI model does with an answer after it receives it. See architecture.

Which protocols and agents are supported by the Agent Interaction Platform?

Each workspace receives an NLWeb agent endpoint that answers who and ask queries with Schema.org responses. A public discovery API lets an agent check if a domain has a Salespeak agent. Each workspace also gets a Model Context Protocol (MCP) server with OAuth 2.1, usable from Claude, ChatGPT, Cursor, or any MCP client. Salespeak's endpoint publishes an MCP server card following the SEP-1649 draft. Note: Protocol adoption depends on the external agent; neither protocol is universally adopted. See agent endpoint.

Can external agents take actions automatically through the Agent Interaction Platform?

No, external agents cannot take actions automatically today. Supported actions, such as an agent requesting a demo for a buyer, are on the roadmap. When available, agents will only be able to invoke workflows you explicitly expose, subject to authentication, authorization, and policy. Note: No production actions are exposed as of now. See roadmap.

How does the Agent Interaction Platform prevent unauthorized actions?

Currently, no actions are exposed to external agents, so none can be invoked through Salespeak. The per-workspace MCP server requires OAuth 2.1 for authentication. Authorization, confirmation, and audit rules for actions will be defined before actions are shipped. Note: Until actions are available, there is no risk of unauthorized agent-initiated workflows. See architecture.

How does the Agent Interaction Platform relate to other Salespeak products?

The Agent Interaction Platform is one of three core Salespeak products. It provides a deliberate interface for external AI agents to access current, governed company context. Agent Optimizer improves what agents can use when reading your pages, and Agent Analytics shows which agents visit and what they request. The Website Inbound Agent is for human visitors. Note: Each product serves a distinct audience and use case. See product roles.

Technical Requirements & Documentation

What technical documentation is available for the Agent Interaction Platform?

Salespeak provides extensive technical documentation, including guides for the MCP Server, WebMCP, NLWeb protocol, Agent-First Web Design, Agentic Commerce, and integration setup for platforms like Cloudflare, WordPress, AWS CloudFront, Vercel, Netlify, Akamai, and nginx/OpenResty. Documentation is available at MCP Server, WebMCP, NLWeb, and Integrations. Note: Some protocols, such as NLWeb, are not universally adopted by all agents.

Does Salespeak offer APIs for agent interaction?

Yes, Salespeak provides APIs as part of its platform. The MCP Server implements the Model Context Protocol, allowing AI agents to dynamically discover tools and capabilities. The Agent Endpoint is a public, machine-readable interface that lets AI agents query the website in natural language. Agents can fetch a server card from https://salespeak.ai/.well-known/mcp/server-card.json to discover endpoints and tools. Note: These APIs are designed for agent integration, not for direct human use. See agent endpoint.

Security & Compliance

What security and compliance certifications does Salespeak have?

Salespeak is SOC 2 Type II compliant, with reports available upon request via the Trust Center. The 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. See security details.

How does Salespeak ensure data security and privacy?

Salespeak employs strict security controls, including annual independent penetration testing, AWS hosting, encryption in transit and at rest, multi-factor authentication for production access, daily backups, and continuous compliance monitoring. Network access is tightly controlled, and advanced email filtering is used to preempt threats. Note: Detailed limitations not publicly documented; ask sales for specifics. See security page.

Pricing & Plans

What is the pricing model for Salespeak's Agent Interaction Platform?

Salespeak's pricing is usage-based and offered in several 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 is subject to change; see pricing page for details.

Use Cases & Benefits

Who is the Agent Interaction Platform designed for?

The Agent Interaction Platform 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: Best fit for organizations needing centralized, governed context for AI agents; teams with only human-facing workflows may not benefit as directly. See target audience.

What problems does the Agent Interaction Platform solve?

The platform addresses issues such as inconsistent company information across AI agents, information drift, uncertainty about trusted sources, and the maintenance burden of multiple agents. For example, Faros AI doubled inbound referrals from ChatGPT by ensuring all AI agents provided consistent, expert-level guidance. RepSpark added 20–30 meaningful buyer interactions weekly by maintaining up-to-date information across all touchpoints. Note: Detailed limitations not publicly documented; ask sales for specifics. See case studies.

Can you share customer success stories using the Agent Interaction Platform?

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 leveraging intelligent conversations. Faros AI doubled inbound referrals from ChatGPT by ensuring consistent, expert-level guidance. A cybersecurity vendor increased engagement rates from 15% to 68% after replacing Warmly with Salespeak. Note: Results may vary by use case and implementation. See customer stories.

Onboarding & Ease of Use

How easy is it to onboard and use the Agent Interaction Platform?

Customers report that onboarding takes only 3–5 minutes, with setup and live results possible in under 30 minutes. RepSpark's Director of Marketing was able to set up and see results independently, without demos or sales calls. The platform offers customization of the AI's appearance and a Simulator tool for testing responses before going live. Note: Some advanced integrations may require technical resources. See onboarding feedback.

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.

AI agent interaction platform

Turn your website into an interface for AI agents

Your next visitor may be an AI agent researching a product, comparing options or acting for a buyer. Salespeak gives those agents a structured way to discover what your company offers, obtain current answers, and complete the actions you choose to support.

Shipped Discovery and governed answers, through the agent endpoint and MCP server. Roadmap Supported actions. Not available today.

From human-only website to dual interface

Your website keeps serving people. Agents get a door built for them.

An AI agent reading a website has to crawl pages built for human eyes and infer the answer. An agent-facing layer lets it ask a question and get a structured answer instead. The visual website stays exactly where it is.

Definition

An AI agent interaction platform gives external AI agents a deliberate, machine-readable way to reach a company: discover what it offers, get answers grounded in information the company provides, and, where the company chooses, invoke specific workflows under its authentication and policy rules. It runs alongside the website. It does not replace it.

For people

The visual website

Pages, navigation, design and forms stay as they are. Buyers who visit still read, compare and contact you the way they do today.

For software agents

An agent-facing layer

An endpoint an agent can query in natural language, answered from the knowledge sources your team connects. Agents that do not use it keep reading your pages, which is the job of Agent Optimizer.

Three capabilities

Discovery, answers, actions. Two ship today. One is on the roadmap.

Each capability below says what exists now and where the boundary is. Examples are illustrative.

01Shipped

Structured discovery

Agents can understand available products, resources, and supported operations.

Today

Each workspace gets an NLWeb agent endpoint that answers who queries and supports discover. A public discovery API lets an agent check whether a domain has a Salespeak agent and start a conversation with it. Salespeak's own site publishes an MCP server card at /.well-known/mcp/server-card.json.

Boundary

The operations exposed today are queries. No action operations are exposed.

Example

A procurement agent shortlisting data-security vendors checks which vendor domains have an agent, then asks each one who it represents before reading any pages.

02Shipped

Governed answers

Agents receive current answers grounded in approved company context.

Today

The agent endpoint answers ask queries in three modes (list, summarize, generate) with Schema.org responses, grounded in the knowledge sources your team connects: your website, uploaded files, Q&A added in the app, and a Google Drive folder. Salespeak's own endpoint returns the source URLs each answer drew on.

Boundary

Salespeak governs what the endpoint answers from. It does not control what an external AI model does with the answer after it receives it.

Example

An IT buyer's agent asks whether a vendor integrates with its CRM and gets an answer drawn from the integration documentation the vendor connected, instead of piecing one together from third-party pages.

03Roadmap

Supported actions

Agents can invoke only explicitly exposed workflows, subject to authentication, authorization, and policy.

Today

Not available. Salespeak does not offer production actions for external agents. The definition above is the design principle actions will follow when they ship.

Boundary

Action confirmation, authorization rules, audit trail and human review will be defined before any action ships.

Example (vision)

With the buyer's authorization, an agent requests a demo with a vendor's sales team, through a workflow the vendor chose to expose.

Example buyer-agent journey

One evaluation, five steps. Each labeled with what ships.

An illustrative scenario. Steps 2 to 4 describe what the agent endpoint supports today. Step 5 is vision, not product behavior.

  1. 1

    A buyer asks their agent to evaluate vendors

    Buyer side

    A security lead asks an AI assistant to shortlist vendors for a compliance tool. This step happens outside Salespeak.

  2. 2

    The agent discovers the vendor's agent

    Shipped

    The agent uses the public discovery API to learn that a vendor's domain has a Salespeak agent, then sends a who query. This happens only if the buyer's agent is built to look for an endpoint.

  3. 3

    It retrieves product, integration, security and pricing facts

    Shipped

    It sends ask queries and receives structured answers from the vendor's knowledge sources. The answers are only as complete and current as those sources.

  4. 4

    It asks a governed follow-up question

    Shipped

    It asks a narrower question in the same conversation, such as which plan includes single sign-on, and gets an answer grounded in the same sources.

  5. 5

    With buyer authorization, it requests a demo

    Vision

    The agent invokes a demo-request workflow the vendor exposed, after the buyer approves. Not available today. See architecture and trust for what must exist first.

Architecture and trust

Where answers come from, and who can reach them.

Company knowledge sources feed a governed context layer. External agents reach it through the agent endpoint; your team's own AI tools reach it through an authenticated MCP server. Actions are drawn dashed because they do not exist yet.

Agent Interaction Platform architecture Company knowledge sources (website crawled daily, uploaded files, Q&A added in the app, Google Drive folder) feed the Salespeak context layer. Governed answers are shipped; supported actions are roadmap and drawn dashed. Answers reach external AI agents through the agent endpoint (NLWeb who, ask and discover, plus a public discovery API) and reach your team's AI tools through a per-workspace MCP server with OAuth 2.1. A dashed roadmap line runs from supported actions to external AI agents. Company knowledge sources SHIPPED Website, crawled daily Uploaded files Q&A added in the app Google Drive folder Salespeak context layer Governed answers SHIPPED Grounded in your knowledge sources Supported actions ROADMAP Exposed workflows only. Not available today. Agent endpoint NLWeb: who, ask, discover Public discovery API SHIPPED MCP server OAuth 2.1 One per workspace SHIPPED External AI agents Research and buyer agents Your team's AI tools Any MCP client Shipped Roadmap
Actions are not part of the shipped architecture. The dashed path shows where they would sit.
Source of truth Shipped
The knowledge sources your organization connects: your website, uploaded files (PDF, Word, PowerPoint, Excel, CSV, text, Markdown), free-text Q&A added in the app, and a shared Google Drive folder. Answers are grounded in those sources.
Freshness Shipped
The website is crawled daily, respecting your sitemap and noindex. Google Drive changes sync on a schedule. Files and Q&A change when your team edits them in the app.
Permissions and identity Shipped
The per-workspace MCP server requires OAuth 2.1. The agent endpoint is built for external agents, and Salespeak's own public endpoint requires no authentication, so treat anything it can answer from as public information.
Privacy and security
Salespeak's security program and trust center are documented on the security page.
Action confirmation Roadmap
No actions are exposed today, so there is nothing to confirm. Buyer authorization and confirmation rules will be defined before actions ship.
Audit trail Roadmap
Applies to actions. The audit record for agent-invoked workflows will be defined before actions ship.
Failure behavior Roadmap
Applies to actions. What happens when an action fails or is refused will be defined before actions ship.
Human review Roadmap
Applies to actions. Which workflows require a person to approve them will be defined before actions ship.
FAQ

Questions technical buyers ask

What is an AI agent interaction platform?

Software that gives external AI agents a deliberate, machine-readable way to reach a company: discover what it offers, get answers grounded in information the company provides, and, where the company chooses, invoke specific workflows under its authentication and policy rules. Salespeak ships discovery and answers today. Actions are on the roadmap.

How is this different from a chatbot?

A chatbot talks to a person in a window on your website. An agent interaction platform serves software agents through endpoints that return structured responses, with no widget involved. Salespeak's product for human visitors is the Website Inbound Agent, and it is not agent-to-agent interaction.

How is it different from an API or MCP server?

MCP and NLWeb are protocols, and an MCP server or API is one interface. The platform is the governed layer behind the interfaces: the knowledge sources, how answers are grounded in them, who can reach which interface, and, once actions ship, the policy for them. Salespeak exposes that layer through a per-workspace NLWeb agent endpoint and a per-workspace MCP server with OAuth 2.1.

Can an external agent take actions automatically?

Not today. Supported actions, such as an agent requesting a demo for a buyer, are on the roadmap. When they ship, agents will be able to invoke only workflows you explicitly expose, subject to authentication, authorization and policy.

How are answers governed and kept current?

Answers are grounded in the knowledge sources your team connects: your website, uploaded files, Q&A added in the app and a Google Drive folder. The website is crawled daily, Drive changes sync on a schedule, and files and Q&A change when your team edits them. Salespeak does not control what an external AI model does with an answer after it receives it.

What prevents unauthorized actions?

Today, no actions are exposed to external agents, so none can be invoked through Salespeak. The per-workspace MCP server requires OAuth 2.1. Authorization, confirmation and audit rules for actions will be defined before actions ship.

Does this replace our website?

No. People keep using the visual website. The agent-facing layer is an addition for software agents, and agents that do not use it keep reading your pages.

Which protocols and agents are supported?

Each workspace gets an NLWeb agent endpoint answering who and ask queries with Schema.org responses, and a public discovery API lets an agent check whether a domain has a Salespeak agent. Each workspace also gets a Model Context Protocol server with OAuth 2.1, usable from Claude, ChatGPT, Cursor or any MCP client. Salespeak's own endpoint publishes an MCP server card following the SEP-1649 draft; see how it works. Whether a given AI agent uses these interfaces depends on that agent. Neither protocol is universally adopted.

Talk it through

Decide how agents should reach your company.

We will walk through what the agent endpoint can answer from your knowledge sources today, and where supported actions sit on the roadmap.

01
Your knowledge sources
Website, files, Q&A and Google Drive: what the endpoint would answer from.
02
Your interfaces
The agent endpoint for external agents, the MCP server for your team.
03
Your roadmap questions
Which actions you would expose, and the rules they would need.