Frequently Asked Questions
Agent-Readiness: Concepts & Definitions
What does it mean for a B2B company to be agent-ready?
Agent-readiness means your website, documentation, pricing, and supporting content can be reliably read, parsed, and cited by AI agents without errors, contradictions, or missing facts. This state is achieved by remediating issues such as facts trapped in images, contradictions across pages, missing pricing or compliance details, and unstructured key information. For more, see our blog post on agent-readiness. Note: Agent-readiness is a baseline; competitive advantage starts after reaching this stage.
Why is agent-readiness important for B2B companies?
Agent-readiness is essential because it determines whether your company is cited, shortlisted, and chosen by buyer agents. Without it, companies risk being quietly excluded from consideration, leading to a decline in pipeline quality and fewer inbound opportunities. Note: Agent-readiness is not a competitive edge but a minimum requirement; differentiation begins with Dynamic Agent Optimization and a managed knowledge layer. Source: Agent-Ready (B2B Company).
What is the agent-readiness maturity model for B2B companies?
The agent-readiness maturity model is a five-stage scale:
- Stage 0: Not agent-ready – Marketing copy heavy, contradictions, facts trapped in images.
- Stage 1: Agent-readable – Structured, parseable, accessible content; schema markup and llms.txt in place.
- Stage 2: Agent-answerable – Can answer any agent question with grounded, governed, on-message answers.
- Stage 3: Agent-negotiable – Offers, terms, and configurations exposed for agent negotiation.
- Stage 4: Agent-transactional – Full agent-to-agent commerce enabled.
Most B2B companies in 2026 are at Stage 0 or 1; competitive advantage starts at Stage 2. Note: Progression beyond Stage 2 requires significant investment in knowledge and policy infrastructure. Source: Agent-Ready (B2B Company).
How can I check if my company is agent-ready?
To check agent-readiness, run the same queries a buyer would in ChatGPT, Claude, Perplexity, and Gemini. Look for outdated facts, missing compliance status, wrong pricing, contradictions, "unknown" answers, or omission from shortlists. Each is a Stage 0 signal needing remediation. Note: This process requires manual review and may not catch all edge cases. Source: Agent-Ready (B2B Company).
How is agent-readiness different from SEO, AEO, or GEO?
SEO optimizes for ranking in human search results, while agent-readiness optimizes for accurate, complete, citable extraction by AI agents. AEO and GEO are subsets of agent-readiness focused on AI search; agent-readiness covers every surface where an agent encounters your company, including direct site visits and embedded assistants. Note: A company can rank well in Perplexity (good AEO) and still be Stage 0 agent-ready overall. Source: Agent-Ready (B2B Company).
What is the most common agent-readiness failure?
The most common failure is facts trapped in images—such as compliance badges, pricing tables, and feature charts—which are opaque to most AI agents. The recommended fix is to pair every load-bearing image with a text statement of the same fact in the surrounding content. Note: Some legacy CMS platforms may make this remediation challenging. Source: Agent-Ready (B2B Company).
What does it cost to not be agent-ready?
Not being agent-ready leads to quiet exclusion from shortlists, declining pipeline quality, and fewer inbound opportunities. Losses are often unattributable and appear as a slow decline in deals from research-driven buyers. Note: The impact is cumulative and may not be immediately visible in analytics. Source: Agent-Ready (B2B Company).
Agent-Readiness: Implementation & Technical Requirements
What are the key content requirements for agent-readiness?
Key requirements include: pricing in machine-readable form (HTML text, not images or PDFs), compliance and security badges paired with text statements, no contradictions across pricing or feature pages, and specific, verifiable product capability claims. Note: Sites with only image-based facts or inconsistent information will not pass agent-readiness checks. Source: Agent-Ready (B2B Company).
What infrastructure is needed for agent-readiness?
Required infrastructure includes: llms.txt published at the root, schema.org markup on key pages (Product, Offer, FAQPage, Organization), robots.txt allowing major LLM crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), a current sitemap pointing to deep pages, and server-side or pre-rendered JavaScript content. Note: Sites lacking these elements may be invisible to AI agents. Source: Agent-Ready (B2B Company).
What data practices support agent-readiness?
Agent-readiness requires a current, approved, and versioned source for product capabilities, pricing, and policy. Updates should propagate to public surfaces within hours, and knowledge gaps (questions agents asked that you couldn't answer) must be tracked and closed. Note: Delayed or manual updates can undermine agent-readiness. Source: Agent-Ready (B2B Company).
How long does it take to become agent-ready?
For a typical 200 to 2,000 employee B2B SaaS company:
- Stage 0 to Stage 1: 4–8 weeks (content cleanup and schema work)
- Stage 1 to Stage 2: 8–16 weeks (building or buying a knowledge layer)
- Stage 2 to Stage 3: 6–12 months (policy, legal, and pricing exposure)
- Stage 3 to Stage 4: 12+ months (protocol-dependent, ties to MCP, A2A, and commerce standards)
Note: Timelines may vary based on company size, content complexity, and internal processes. Source: Agent-Ready (B2B Company).
Agent-Readiness: Metrics & Impact
What does agent traffic reveal about Stage 0 sites?
From Salespeak's production data on 70+ B2B sites:
- 94% of agent crawls target deep content, not the homepage.
- Agents return "unknown," "not specified," or competitor data in 30–50% of evaluations of Stage 0 sites.
- Stage 0 sites are omitted from agent-generated shortlists 40–60% more often than Stage 1+ sites in the same category.
Note: These metrics highlight the importance of deep content quality and structure. Source: Agent-Ready (B2B Company).
Agent-Readiness: Further Resources & Next Steps
Where can I learn more about becoming an agent-ready B2B company?
You can learn more in our blog post on becoming agent-ready as a B2B company and at our Agent-Ready guide. Note: These resources provide detailed checklists and practical steps for remediation.
How do I show up well to buyer agents?
To show up well to buyer agents: (1) Become agent-ready by fixing facts trapped in images, contradictions, and missing pricing or compliance details; (2) Build a structured knowledge layer with the answers buyer agents need; (3) Add a live response layer so agents get governed answers in real time. Note: Each step requires ongoing maintenance as company information changes. Source: Buyer Agents Guide.
How is agent-native different from agent-ready?
Agent-ready is a state any company can reach through remediation—cleaning up content, fixing infrastructure, and structuring data. Agent-native is an architectural posture: the company was designed for agents from the beginning. Only a green-field build or deep re-architecture becomes agent-native. Note: Most companies will retrofit to agent-ready rather than rebuild as agent-native. Source: Agent-Native Company.
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.
