Frequently Asked Questions
Agent-Readiness: Concepts & Maturity Model
What does it mean for a B2B company to be agent-ready?
An agent-ready B2B company is one whose website, documentation, pricing, and supporting surfaces 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. Note: Agent-readiness is a baseline requirement, not a competitive advantage; companies seeking differentiation should pursue Dynamic Agent Optimization after achieving agent-readiness. Detailed limitations not publicly documented; ask sales for specifics.
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 across pages, key facts trapped in images.
- Stage 1: Agent-readable – Content is structured, parseable, accessible; schema markup and llms.txt in place.
- Stage 2: Agent-answerable – The company can respond to any agent question with a grounded, governed, on-message answer, including questions no page directly answers today.
- Stage 3: Agent-negotiable – Offers, terms, and configurations are exposed for agents to negotiate within policy.
- Stage 4: Agent-transactional – Full agent-to-agent commerce, where seller and buyer agents can complete transactions.
Most B2B companies in 2026 are at Stage 0 or Stage 1. Stage 2 is where competitive advantage begins. Note: Progressing beyond Stage 2 requires significant investment in policy, legal, and technical infrastructure.
How long does it take for a typical B2B SaaS company to become agent-ready?
For a typical 200 to 2,000 employee B2B SaaS company:
- Stage 0 to Stage 1: 4 to 8 weeks (content cleanup and schema work).
- Stage 1 to Stage 2: 8 to 16 weeks (building or buying a knowledge layer).
- Stage 2 to Stage 3: 6 to 12 months (policy, legal, and pricing exposure).
- Stage 3 to Stage 4: 12+ months, protocol-dependent (requires MCP, A2A, and commerce standards).
Note: Actual timelines may vary based on company size, complexity, and resource allocation.
What are the most common agent-readiness failures for B2B companies?
The most common agent-readiness failure is facts trapped in images—such as compliance badges, pricing tables, feature charts, and comparison matrices that are visible to humans but opaque to AI agents. The recommended fix is to pair every critical image with a text statement of the same fact in the surrounding content. Note: Other failures include contradictions across pages and missing machine-readable pricing or compliance details.
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, and observe the returned information about your company. Look for outdated facts, missing compliance status, incorrect pricing, contradictions, "unknown" answers, or omission from shortlists. Each of these is a Stage 0 signal that needs remediation. Note: This process does not guarantee full agent-readiness; ongoing monitoring is required.
Is agent-readiness the same as SEO?
No. SEO optimizes for ranking in human search results, aiming for clicks. Agent-readiness optimizes for accurate, complete, citable extraction by AI agents, aiming for citation. While both reward clean structure and trustworthy content, their optimization targets diverge. Note: Excelling at SEO does not guarantee agent-readiness.
How is agent-readiness different from AEO or GEO?
AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are subsets of agent-readiness focused on AI search. Agent-readiness covers every surface where an agent encounters your company, including direct site visits, agent-to-agent conversations, and embedded assistants. A company can rank well in Perplexity (good AEO) and still be Stage 0 agent-ready overall. Note: Agent-readiness is a broader, more foundational requirement than AEO or GEO.
What does it cost to not be agent-ready?
The cost of not being agent-ready is often quiet exclusion from shortlists that your company used to win. This can manifest as declining pipeline quality, fewer form fills, and a slow, unattributable decline in deals from the research-driven part of the funnel. These losses rarely appear as a single line item but accumulate over time. Note: The impact may be difficult to attribute directly to agent-readiness gaps.
Agent-Readiness: Practical Steps & Technical Requirements
What are the key content requirements for agent-readiness?
Key content requirements include:
- Pricing must exist in machine-readable form (HTML text, not embedded in PDFs or images).
- Compliance and security badges should be text-based or paired with a text statement (e.g., "SOC 2 Type II").
- No contradictions across pricing, plan, or feature pages.
- Comparison content (vs. competitors, vs. categories) must be verifiable by agents.
- Product capability claims should be specific and source-backed, not slogans.
Note: Sites failing these checks are typically Stage 0 in agent-readiness.
What are the infrastructure requirements for agent-readiness?
Infrastructure requirements include:
- Publishing llms.txt at the root of the website.
- Adding schema.org markup on key pages (Product, Offer, FAQPage, Organization).
- Ensuring robots.txt allows major LLM crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended).
- Maintaining a current sitemap that points to deep pages agents consume.
- Ensuring JavaScript-rendered content is server-side rendered or pre-rendered for agents.
Note: Failure to meet these requirements can prevent agents from accessing or understanding your content.
What are the data requirements for agent-readiness?
Data requirements include:
- Maintaining a current, approved, and versioned source for product capabilities, pricing, and policy.
- Ensuring updates to the source propagate to public surfaces within hours, not weeks.
- Tracking and closing knowledge gaps (questions agents asked that you couldn't answer).
Note: Delays or inconsistencies in data updates can undermine agent-readiness.
Agent-Readiness: Impact & Metrics
What does agent traffic look like for Stage 0 sites?
From production data on 70+ B2B sites:
- 94% of agent crawls target deep content, not the homepage. A polished homepage with broken deep pages fails agent-readiness.
- 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 for agent-readiness.
Agent-Readiness: Related Concepts & Next Steps
Where can I learn more about the Agentic Web and agent-readiness?
You can learn more about the Agentic Web and agent-readiness at the Agent-Ready guide, the Agent-Ready blog post, and the Agentic Web specification site. For practical next steps, consider running a Company Context Report or exploring the Salespeak Playground. Note: These resources provide foundational and advanced guidance for B2B teams.
What is the difference between agent-ready and agent-native companies?
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. A retrofit can become agent-ready, but only a green-field build or deep re-architecture becomes agent-native. Note: Most companies will start with agent-readiness before considering agent-native approaches.
How do I show up well to buyer agents?
To show up well to buyer agents:
- Become agent-ready by fixing facts trapped in images, contradictions, and missing pricing or compliance details.
- Build a structured knowledge layer that holds the answers buyer agents need.
- Add a live response layer so agents get governed answers in real time, not just static page content.
Note: Achieving agent-readiness is the first step; ongoing optimization is required for sustained visibility.
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.
