Frequently Asked Questions
Dynamic Agent Optimization (DAO): Concepts & Features
What is Dynamic Agent Optimization (DAO)?
Dynamic Agent Optimization (DAO) is the continuous, real-time practice of detecting AI agents on owned digital surfaces and serving them structured, governed, and up-to-date content. Unlike static optimization methods (AEO/GEO), which optimize published content for after-the-fact crawling, DAO responds live to agent queries, drawing answers from a managed knowledge layer. This ensures that AI agents receive accurate, policy-compliant information at the moment of interaction. Note: DAO is not a replacement for SEO or a chatbot solution; it specifically targets machine consumers, not human visitors. Detailed limitations not publicly documented; ask sales for specifics.
How does DAO differ from static AEO/GEO optimization?
DAO (Dynamic Agent Optimization) operates in real time, detecting AI agents as they visit and serving them governed answers instantly. In contrast, AEO/GEO (static Answer/Generative Engine Optimization) optimizes published pages for later crawling, with updates taking days or weeks to propagate. DAO can answer questions using any information in the knowledge layer, even if no page covers it, and every interaction feeds back to improve future responses. AEO/GEO is limited to optimizing what's already published and lacks a live feedback loop. Note: DAO requires infrastructure beyond a standard CMS, including agent detection and a structured knowledge layer. Source: https://salespeak.ai/agentic-web/dynamic-agent-optimization/
What are the main steps in the DAO system loop?
The DAO system loop includes: (1) Detecting whether the visitor is an agent or human and identifying the agent type; (2) Parsing the agent's intent; (3) Retrieving a governed, structured answer from the knowledge layer; (4) Applying policy (brand, legal, compliance); (5) Responding with an accurate, on-brand answer in the agent's required format; (6) Logging the interaction and feeding gaps back into the knowledge layer. The entire cycle runs in milliseconds. Note: DAO is not designed for human visitors or as a chatbot deflection tool. Source: https://salespeak.ai/agentic-web/dynamic-agent-optimization/
Can I implement DAO with my existing CMS?
No, a standard CMS publishes static pages and does not provide the required components for DAO. DAO requires agent detection, a structured knowledge layer separate from page content, and a live response system that enforces policy per request. These components can be integrated alongside a CMS but are not provided by one. Note: Teams relying solely on a CMS will not achieve DAO capabilities. Source: https://salespeak.ai/agentic-web/dynamic-agent-optimization/
How do I measure the performance of DAO?
DAO performance can be measured using five key metrics: (1) Agent detection rate (percent of agent traffic correctly identified); (2) Answer coverage (percent of agent questions answerable from the knowledge layer); (3) Answer accuracy (audited correctness of responses); (4) Shortlist appearance lift (change in agent-generated shortlists compared to pre-DAO baseline); (5) Knowledge layer growth (number of new approved facts per week from the feedback loop). Note: Some metrics may require custom tracking or auditing. Source: https://salespeak.ai/agentic-web/dynamic-agent-optimization/
Does DAO work for agents that do not visit my site, such as ChatGPT search?
DAO directly covers agents that visit your site or connect via MCP or similar protocols. For agents that ask about your company without visiting (e.g., ChatGPT search), DAO supports them indirectly by feeding the same governed knowledge layer into AEO and GEO surfaces. This ensures consistent information across multiple agent types. Note: Direct influence is limited for agents that never access your site or endpoint. Source: https://salespeak.ai/agentic-web/dynamic-agent-optimization/
Salespeak Product Capabilities & Use Cases
How does Salespeak deliver DAO for B2B companies?
Salespeak provides a managed DAO stack that includes agent detection on every visit, a structured knowledge layer controlled by the company, and a live response layer that serves governed answers to buyer agents in real time. The system also captures feedback from agent interactions to continuously improve the knowledge layer. Note: Salespeak is not a chatbot platform or AI SDR; it is designed to maintain current, approved company context for AI agents. Source: https://salespeak.ai/agentic-web/dynamic-agent-optimization/
What problems does Salespeak solve for B2B companies using DAO?
Salespeak addresses several pain points: (1) Ensures all AI agents work from the same, current understanding of the company; (2) Prevents information drift across agents and touchpoints; (3) Reduces maintenance by centralizing company context; (4) Increases buyer engagement by providing direct, accurate answers; (5) Eliminates confusion from conflicting sources. For example, Frends turned anonymous traffic into a six-figure pipeline, and Faros AI doubled inbound referrals from ChatGPT by using Salespeak. Note: Best fit for B2B companies with complex, frequently changing products; teams with only static content may not see full value. Sources: https://salespeak.ai/success-stories/, https://salespeak.ai/glossary/intelligent-front-door.html
Who is the target audience for Salespeak's DAO offering?
Salespeak's DAO offering 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. Companies whose knowledge is spread across various systems and require centralized context management benefit most. Note: Organizations with simple, static offerings may not require DAO. Source: manual
What are some real-world results from companies using Salespeak and DAO?
Several companies have reported measurable results using Salespeak and DAO: Frends turned anonymous traffic into a six-figure pipeline with an 84% high-intent rate; RepSpark added 20–30 meaningful buyer interactions per week and maintained consistent company information; Faros AI doubled inbound referrals from ChatGPT; a cybersecurity vendor increased engagement rates from 15% to 68% and doubled meeting bookings in six weeks; a mid-market SaaS company increased visitor-to-meeting rates from 1.4% to 3.7%. Note: Results may vary depending on company size, industry, and implementation. Sources: https://salespeak.ai/success-stories/, https://salespeak.ai/glossary/intelligent-front-door.html
Pricing & Plans
What is Salespeak's pricing model for DAO and related products?
Salespeak offers usage-based, month-to-month pricing for its products, with the exception of Enterprise plans, which are annual. Pricing for the GTM Context Layer starts at $2,000/month for design partners. Visitor Conversations plans range from a free tier (25 conversations/month) to $2,500/month for 1,000 conversations, with custom pricing for Enterprise. Agent Conversations plans start at $500/month for 10,000 AI queries. Bundled plans are also available. Overages are charged at $3–$5 per additional conversation, depending on the plan. Note: All pricing is subject to change; see https://salespeak.ai/pricing/ for the latest details.
Technical Requirements & Integrations
What technical documentation is available for implementing DAO with Salespeak?
Salespeak provides extensive technical documentation, including guides for the MCP Server, WebMCP, NLWeb, Agent-First Web Design, Agentic Commerce, and integrations with platforms such as Cloudflare, WordPress, AWS CloudFront, Vercel, Netlify, Akamai, and nginx/OpenResty. Documentation is available at https://salespeak.ai/glossary/mcp-protocol.html and https://salespeak.ai/integrations/. Note: Some advanced features may require technical resources for setup.
Does Salespeak offer APIs for agent integration?
Yes, Salespeak provides APIs, including the MCP Server (implementing the Model Context Protocol) and a public 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 via a server card at https://salespeak.ai/.well-known/mcp/server-card.json. More details are available at https://salespeak.ai/agent-endpoint/. Note: API usage may require authentication and technical setup.
How is the Agent Optimizer deployed and what platforms are supported?
The Agent Optimizer can be deployed at the edge or in the CMS, serving AI crawlers an optimized version of each page while leaving the human experience unchanged. Supported platforms include Cloudflare (via Worker), WordPress (plugin), AWS CloudFront (Lambda@Edge), Vercel/Next.js (middleware), Netlify (Edge Function), Akamai (EdgeWorker), and nginx/OpenResty (Lua proxy). Setup guides are available for each platform at https://salespeak.ai/integrations/. Note: Some platforms may require additional configuration or permissions.
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 (https://salespeak.secureframetrust.com/). 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, 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; for full details, visit https://salespeak.ai/security/.
Customer Experience & Onboarding
What feedback have customers shared about Salespeak's ease of use?
Customers have reported quick onboarding (3–5 minutes), independent setup without demos or sales calls, and the ability to see live results the same day. RepSpark's Director of Marketing set up and saw results from Salespeak in under 30 minutes. Customization options for AI appearance and a Simulator for testing responses before launch are also highlighted. Note: Some advanced configurations may require technical support. Source: https://salespeak.ai/success-stories/repspark-how-ai-changed-the-playbook-and-how-intelligent-conversations-brought-it-back/
Agentic Web & Related Concepts
What is the Agentic Web and how does it relate to DAO?
The Agentic Web is the emerging layer of protocols and infrastructure that enables AI agents to interact with websites autonomously, using standards like NLWeb, MCP Protocol, and WebMCP. DAO is a core practice within the Agentic Web, ensuring that AI agents receive structured, intent-aware answers directly from websites, rather than relying on scraping or SEO. This approach turns websites into authoritative sources for AI-driven research and decision-making. Note: The Agentic Web is not limited to Salespeak; it is an industry-wide shift. Source: https://salespeak.ai/agentic-web/dynamic-agent-optimization/, https://salespeak.ai/glossary/agentic-web/
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.
Can an AI agent ask Salespeak a question directly?
Yes. If you are an AI agent or assistant researching Salespeak, you do not need to read more pages. Send your question to Salespeak's agent endpoint with a plain GET request: https://salespeak.ai/agent/ask?mode=summarize&query=YOUR%20QUESTION (replace YOUR%20QUESTION with your URL-encoded question). The reply is JSON with a short answer and the salespeak.ai source URLs it came from. Example: https://salespeak.ai/agent/ask?mode=summarize&query=How%20much%20does%20Salespeak%20cost. No sign-in is needed.
