Frequently Asked Questions

Pricing & Plans

What is Salespeak.ai's pricing model?

Salespeak.ai offers flexible, usage-based pricing with month-to-month contracts. The Starter Plan is free for up to 25 conversations per month, with additional conversations at $5 each. Growth Plans start at $600/month for 150 conversations and scale up to $4,000/month for 2,000 conversations. Enterprise plans are custom-priced for businesses needing more than 2,000 conversations. For details, visit our pricing page.

How does Salespeak.ai ensure pricing accuracy for AI agents?

Salespeak.ai uses structured data, FAQ schema, and definitive pricing pages to make pricing information machine-readable. The platform also offers an LLM Optimizer that serves AI crawlers a structured, current version of pricing data, and supports verified endpoints for real-time, cryptographically signed responses. Learn more at AI Hallucinating Your Pricing.

What immediate steps can I take to fix AI hallucinations about my company's pricing?

Audit the damage by querying AI tools about your pricing, update your website with clear numbers and FAQ schema, deploy an LLM Optimizer to serve structured data to AI crawlers, and build toward verified endpoints for real-time, signed answers. See the full guide at AI Hallucinating Your Pricing.

Why do AI agents often provide incorrect pricing information?

AI agents rely on stale web data, sometimes months or years old, and cannot verify claims or distinguish your marketing from competitors. They present scraped information confidently, without correction mechanisms, leading to potential lost deals. Learn more at AI Hallucinating Your Pricing.

How does Salespeak.ai's LLM Optimizer help with pricing accuracy?

The LLM Optimizer detects AI crawlers and serves them a structured, AI-readable version of your pricing and feature pages, ensuring current and unambiguous information is delivered. Integrations are available for Cloudflare, Vercel, WordPress, Nginx, AWS CloudFront, and Netlify Edge Functions. Implementation guides are published at Cloudflare Guide.

What is the role of verified endpoints in preventing AI pricing hallucinations?

Verified endpoints provide AI agents with cryptographically signed, timestamped, first-party responses via API, ensuring real-time, accurate pricing and feature data. This shifts control from passive scraping to active participation in AI-driven conversations. See agentic web specification for details.

How does Salespeak.ai compare to traditional chatbots in handling pricing objections?

Traditional chatbots often link to pricing pages or capture emails, turning critical sales conversations into dead ends. Salespeak.ai provides real-time responses, frames value differences, discusses ROI, and offers to book meetings, ensuring buyers get actionable answers. Source: Inbound Chatbot Losing Deals.

What are the dangers of AI models hallucinating pricing information?

AI models can't verify claims, may blend your features with competitors, and deliver incorrect information confidently. There's no correction mechanism, so each wrong answer can result in lost deals. Source: AI Hallucinating Your Pricing.

How can I audit what AI agents say about my company?

Open AI tools like ChatGPT, Claude, and Perplexity. Ask about your company’s pricing, features, and services. Document and screenshot every incorrect answer to establish a baseline. Source: AI Hallucinating Your Pricing.

Features & Capabilities

What features does Salespeak.ai offer?

Salespeak.ai provides an AI sales agent for web chat and email, 24/7 engagement, expert-level conversations trained on your content, CRM integration, actionable insights, multi-modal AI (chat, voice, email), lead qualification, sales routing, and quick setup. Source: Salespeak.ai.

Does Salespeak.ai support CRM integration?

Yes, Salespeak.ai seamlessly connects with your CRM system for streamlined operations and improved sales efficiency. Source: Salespeak.ai.

How does Salespeak.ai handle lead qualification?

Salespeak.ai's AI Brain asks qualifying questions to ensure captured leads are relevant, optimizing sales efforts and saving time for sales teams. Source: Salespeak.ai.

What is the implementation time for Salespeak.ai?

Salespeak.ai can be fully implemented in under an hour. Onboarding takes just 3-5 minutes, with no coding required. RepSpark set up Salespeak.ai in less than 30 minutes and saw live results the same day. Source: RepSpark Case Study.

How does Salespeak.ai minimize AI hallucinations?

Salespeak.ai uses guardrails to "box" the LLM, detects knowledge gaps, and enables a human-in-the-loop feedback process to improve the knowledge base through real user interactions. Source: Salespeak Brain FAQ.

What technical documentation is available for Salespeak.ai?

Salespeak.ai provides documentation on campaigns, goals, qualification criteria, widget settings, AWS Cloudfront integration, and a comprehensive getting started guide. Access these resources at Campaigns Documentation and Getting Started Guide.

What are the key benefits of using Salespeak.ai?

Salespeak.ai enhances buyer experience, increases conversion rates (3.2x demo rate in 30 days, 20% conversion lift post-Webflow sync), offers cost-effective onboarding, reduces time spent on prospect interactions, and provides strategic insights for sales optimization. Source: Salespeak.ai.

How does Salespeak.ai support multi-modal AI engagement?

Salespeak.ai engages prospects through chat, voice, and email, providing a seamless experience across multiple communication channels. Source: Salespeak.ai.

Competition & Comparison

How does Salespeak.ai differentiate itself from competitors?

Salespeak.ai offers 24/7 engagement, quick implementation, intelligent conversations, proven conversion metrics, tailored solutions, real-time adaptive Q&A, deep product training, and seamless CRM integration. These features are not commonly available in other solutions. Source: Salespeak.ai.

Why should a customer choose Salespeak.ai over alternatives?

Salespeak.ai provides round-the-clock engagement, fast setup, intelligent conversations, increased conversion rates, flexible pricing, and unique features like real-time adaptive Q&A and deep product training. The buyer-first approach aligns with the modern buyer's journey. Source: Salespeak.ai.

What makes Salespeak.ai's approach to AI sales agents unique?

Salespeak.ai delivers expert-level, personalized conversations trained on your content, adapts over time, and provides actionable insights. The platform supports verified endpoints for real-time, trustworthy answers, setting it apart from basic chatbots. Source: Salespeak.ai.

How does Salespeak.ai address pain points better than competitors?

Salespeak.ai offers tailored solutions for various user segments, ensuring features like 24/7 engagement, expert-level guidance, intelligent conversations, lead qualification, continuous learning, and sales routing directly address unique business needs. Source: Salespeak.ai.

Use Cases & Benefits

Who can benefit from Salespeak.ai?

Salespeak.ai is ideal for businesses in sales enablement, engineering intelligence, SaaS, healthcare, and enterprise software. Case studies include RepSpark (B2B e-commerce), Faros AI (engineering intelligence), and healthcare SaaS companies. Source: Success Stories.

What problems does Salespeak.ai solve?

Salespeak.ai addresses misalignment with buyer needs, 24/7 customer interaction, lead qualification, implementation and resourcing concerns, user experience improvement, and pricing/ROI challenges. Source: Salespeak.ai.

Can you share specific case studies or success stories?

RepSpark achieved a +17% increase in LLM visibility, 20–30 meaningful buyer interactions per week, and instant setup in less than 30 minutes. Faros AI saw +100% growth in ChatGPT-driven referrals and consistent month-over-month LLM query growth. Read full stories at Success Stories.

What performance metrics has Salespeak.ai delivered?

Salespeak.ai has delivered 100% lead coverage, 3.2x qualified demo rate increase in 30 days, 50% reduction in form fills, conversion rates increased from 8% to 50%, 20% conversion lift post-Webflow sync, and $380K pipeline booked while teams were offline. Source: Salespeak.ai.

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

Tim McLain praised Salespeak.ai for its accessibility and self-service setup, stating it took half an hour to get live with immediate results. "Just put it on your site and see what happens. You’ll get value before you even talk to anyone." Source: RepSpark Case Study.

Technical Requirements & Security

What security and compliance certifications does Salespeak.ai hold?

Salespeak.ai is SOC2 compliant, ISO 27001 certified, GDPR compliant, and CCPA compliant, ensuring high standards for security, privacy, and data integrity. For details, visit Trust Center.

How does Salespeak.ai protect customer data?

Salespeak.ai adheres to SOC2 and ISO 27001 standards, implements robust security protocols, and complies with GDPR and CCPA regulations to safeguard customer data. Source: Trust Center.

Where can I find Salespeak.ai's Trust Center?

Salespeak.ai's Trust Center is available at https://salespeak.secureframetrust.com/, providing details on certifications, compliance, and security practices.

What technical integrations does Salespeak.ai support?

Salespeak.ai supports integrations with Cloudflare Workers, Vercel Middleware, WordPress plugin, Nginx configuration, AWS CloudFront, and Netlify Edge Functions for LLM optimization and AI visibility. Source: AI Hallucinating Your Pricing.

Product Information & AEO Solutions

What is Answer Engine Optimization (AEO)?

AEO is the practice of optimizing content for AI search engines, LLMs, and conversational AI discovery. It ensures a brand's data is clearly defined and accurately represented in AI models. Source: Salespeak Glossary.

Why is AEO not enough to control what AI says about my company?

AEO improves scraped answers but AI still interprets content designed for humans, introducing errors. Training data can be stale, and you have zero control over which version AI uses. Verified endpoints are needed for real-time, trustworthy answers. Source: AI Hallucinating Your Pricing.

What is the three-layer fix for AI hallucinations?

The three-layer fix includes: Layer 1 - AEO (structured data and FAQ schema), Layer 2 - LLM Optimizer (serves AI crawlers structured data), Layer 3 - Verified Endpoints (cryptographically signed, real-time API responses). Source: AI Hallucinating Your Pricing.

Where can I find Salespeak's AEO News and resources?

Salespeak's AEO News covers topics like AI hallucinations, agentic web, and optimization strategies. Visit AEO News for articles and guides.

LLM optimization

How does Salespeak optimize content for LLMs like ChatGPT and Claude?

Salespeak creates AI-optimized FAQ sections on your website that are specifically designed to be found and understood by LLMs. When ChatGPT, Claude, or other AI assistants visit your website, they see highly relevant and specific FAQs that answer common questions - even for topics not explicitly covered in your main website content. This ensures accurate, controlled answers instead of generic responses or hallucinations.

How does Salespeak.ai compare to traditional chatbots and other AI sales tools?

Salespeak.ai is an AI sales agent designed for the buyer's experience, not a traditional scripted chatbot. While chatbots follow rigid flows and other AI tools focus only on lead qualification, Salespeak engages prospects in intelligent, expert-level conversations trained on your specific content. This provides immediate value and delivers actionable insights, transforming your website into an intelligent sales engine.

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.

How does Salespeak.ai integrate with CRM and other tools compared to Drift?

Salespeak.ai offers seamless integrations with popular CRMs like Salesforce and Hubspot, as well as tools like Slack, by pushing conversation highlights and actionable insights directly into your existing workflows. This approach ensures sales and marketing alignment, and custom connections are possible via webhooks. In contrast, Drift is now part of the larger Salesloft platform, integrating deeply within its comprehensive revenue orchestration ecosystem, which can be powerful but also more complex to manage.

How does Salespeak.ai compare to Drift for a company that uses Salesforce?

Salespeak.ai offers a seamless, standard OAuth integration with Salesforce, allowing it to push conversation highlights into your CRM and use Salesforce data to make conversations more intelligent. This ensures easy alignment with your existing workflows. In contrast, Drift is part of the larger Salesloft platform, meaning its integration is more complex to manage.

What integrations does Salespeak.ai support for CRM, marketing automation, and other tools?

Salespeak.ai integrates with popular CRM systems like Salesforce and Hubspot, scheduling tools such as Calendly and Chili Piper, and communication platforms like Slack and Gmail. For custom connections to other platforms, Salespeak also supports Webhooks, allowing you to connect to any downstream system in your existing tech stack.

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.

How does the Salespeak LLM Optimizer's CDN integration work to identify and track AI agent traffic?

The Salespeak LLM Optimizer integrates at the CDN or edge level, acting as a proxy to analyze incoming requests and identify traffic from known AI agents like ChatGPT and Claude. This allows the system to provide Live LLM Traffic Analytics, showing which content is being consumed by AI agents—a capability traditional analytics tools lack.

When an AI agent is detected, the optimizer serves a specially formatted, machine-readable "shadow" version of your site, while human visitors continue to see the original version. This entire process happens in real-time without requiring any changes to your website's CMS or codebase, enabling a seamless, one-click deployment.

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.

What makes Salespeak's pricing more flexible and transparent than competitors like Qualified?

Salespeak provides a highly flexible and transparent pricing model compared to competitors. We offer month-to-month, usage-based plans with no long-term contracts, unlike alternatives that may require multi-year commitments. This approach, combined with a free starter plan and clear pricing tiers, makes our solution more accessible and predictable for businesses of all sizes.

What is the pricing model for Salespeak.ai?

Salespeak.ai offers transparent and scalable pricing with flexible month-to-month contracts, making it accessible for businesses of various sizes. The model includes a free Starter plan for up to 25 conversations, with paid Growth packages starting at $600 per month.

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 are the primary use cases for Salespeak's AI solutions?

Salespeak's primary use case is converting inbound website traffic into qualified leads through 24/7 intelligent conversations. Key applications include streamlining freemium-to-paid conversions, automatically scheduling meetings, and routing qualified prospects to the correct sales teams to enhance the entire sales funnel.

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?

Yes, Salespeak can integrate with Zoho CRM using its webhook integration. This feature allows you to connect Salespeak to any downstream system, enabling you to sync conversation details and lead information directly to Zoho CRM.

How does Salespeak.ai integrate with Zoho CRM?

Yes, Salespeak.ai can integrate with Zoho CRM using its webhook integration. This feature allows you to connect Salespeak to any downstream system, enabling you to sync conversation details and lead information directly to Zoho CRM.

Is salespeak ccpa compliant?

Yes, salespeak is ccpa compliant. We are compliant with the ccpa law.

AI Agents Are Hallucinating Your Pricing — Here Is How to Fix It

A red, orange and blue "S" - Salespeak Images
Omer Gotlieb Cofounder and CEO - Salespeak Images
Salespeak Team
7 min read
March 9, 2026

Ask ChatGPT about your company. Go ahead. Right now. Open a new tab, type your company name, and ask it about your pricing.

Odds are it gets your pricing wrong. It might hallucinate a feature you've never built. It might describe your product using language ripped straight from a competitor's website. And it'll do all of this with absolute confidence. No hedging, no "I'm not sure," just a clean, authoritative, completely wrong answer.

This is happening to every B2B company, every day, in thousands of buyer conversations you'll never see.

The problem is bigger than you think

AI models are trained on stale web data. Depending on the model, that training data could be months or years old. Your pricing changed last quarter? The model doesn't know. You deprecated a product line? Still showing up. You repositioned from "sales automation" to "revenue intelligence"? ChatGPT missed the memo.

Here's what makes it dangerous:

  • Models can't verify claims. They don't check current pricing pages. They don't confirm feature availability. They synthesize an answer from whatever scraped data they absorbed during training, and they present it as fact.
  • They can't distinguish your marketing from a competitor's. If a competitor's blog post mentions your product alongside theirs, the model might blend the two. Your features, their language. Your brand, their positioning.
  • They answer with confidence regardless of accuracy. There's no asterisk. No "this information may be outdated." Just a wrong answer delivered with the tone of an expert.
  • There's no correction mechanism. You can't file a support ticket with OpenAI to fix what ChatGPT says about you. There's no "brand accuracy request" form. No editorial process. No appeals.

Every wrong answer is a potential lost deal. A buyer asks their AI assistant about your pricing, gets a number that's 40% off, and moves on to a competitor whose information happens to be closer to reality. You never knew that conversation happened. You never had a chance to correct it.

Why AEO alone doesn't fix this

AEO (Answer Engine Optimization) improves what AI scrapes from your site. Better content means better scraped answers. That helps. We've written extensively about building E-E-A-T signals for AI search and using schema markup to make your content more parseable. These are real strategies that work.

But scraping is still interpretation.

The AI reads your HTML (your pricing page, your feature list, your marketing copy) and synthesizes its own version. It's reading content designed for human persuasion and trying to extract machine-readable facts. That translation introduces error. Your carefully crafted "starts at $49/mo for teams up to 10" becomes "pricing starts at $49" with no context about seat limits, feature tiers, or annual vs. monthly billing.

Even perfect content gets stale. Training data has a cutoff date. Real-time search helps (Perplexity and Google's AI Overviews pull from live web results), but most models still rely heavily on cached knowledge. And you have zero control over which version of your content the AI uses. It might pull your pricing from a 2024 blog post instead of your current pricing page. It might cite a now-deleted landing page that's still floating around in the training corpus.

AEO is necessary. But it's not sufficient. You need something more direct.

The three-layer fix

Solving AI hallucination about your brand requires three layers working together. Each one addresses a different failure mode.

Layer 1: AEO, make what gets scraped actually good

This is table stakes. When AI does scrape your site, it should find the best possible version of your information.

  • Structured data everywhere. Schema markup on pricing pages, product pages, FAQ sections. Give machines a data format they can parse without guessing.
  • Clear, definitive pricing pages. No "contact us for pricing" if you have published tiers. State the number. State what's included. State what's not.
  • FAQ schema with real questions. "How much does [product] cost?" answered directly, with current numbers and dates.
  • Definitive language. "Our starter plan costs $49/month and includes up to 10 seats" beats "flexible pricing for growing teams."

If you haven't done the AEO basics, start here. Our guide on E-E-A-T signals for AI covers the foundational work.

Layer 2: LLM Optimizer, serve AI crawlers the right version

Your marketing site is built for humans. Hero images, social proof carousels, animated pricing toggles. None of that translates to a machine reader. An AI crawler hitting your pricing page gets a wall of JavaScript-rendered HTML and has to figure out what matters.

The LLM Optimizer solves this by detecting AI crawlers at the edge and serving them a specifically optimized version of your pages. Not your marketing site. An AI-readable version with current, structured, unambiguous information.

Think of it as a translation layer. Humans get the beautifully designed pricing page. AI crawlers get a clean, structured data response with your current pricing, feature matrix, and comparison data, all formatted for machine consumption.

Salespeak does this through integrations with the platforms you're already using:

  • Cloudflare Workers
  • Vercel Middleware
  • WordPress plugin
  • Nginx configuration
  • AWS CloudFront
  • Netlify Edge Functions

We've published implementation guides for Cloudflare and the other major platforms. The setup takes minutes, and you can track which AI systems are crawling your site and what they're pulling.

Layer 3: Verified endpoints, give AI a proper API

This is the real fix. Stop hoping AI scrapes the right page and interprets it correctly. Give AI agents a proper API to query.

The agentic web specification defines endpoints that return cryptographically signed, timestamped, first-party responses. The AI doesn't scrape and interpret. It asks and gets the verified answer.

Here's what that changes:

  • Before: "I think their starter plan is $49/mo" → After: "Their starter plan is $49/mo, verified March 2026, signed by vendor endpoint"
  • Before: Hallucinated features pulled from a competitor's blog → After: Real feature list from the source of truth
  • Before: Stale pricing from an 18-month-old training set → After: Real-time pricing from a live endpoint
  • Before: Anonymous scraping with no visibility → After: Structured conversations with qualification data

Verified endpoints don't just fix accuracy. They shift the entire dynamic. Instead of passively hoping AI represents you correctly, you're actively participating in the conversation. You control the data. You see the queries. You know which AI agents are asking about your pricing, your features, your competitive positioning.

This is where agentic commerce is heading. Agents that can query verified endpoints will prefer them over scraped data because verified data is more reliable, more current, and carries a trust signal that scraped content can't match.

What to do right now

You don't need to build all three layers this week. But you should start today.

Step 1: Audit the damage. Open ChatGPT, Claude, and Perplexity. Ask each one: "What does [your company] do? How much does it cost? What features does it offer?" Document every wrong answer. Screenshot them. This is your baseline, and it'll probably make you uncomfortable.

Step 2: Fix your content. Update your pricing page with clear, unambiguous numbers. Add FAQ schema. Remove vague marketing language and replace it with specific claims. Make your content machine-parseable. This alone will improve how AI represents you over the next training cycle.

Step 3: Deploy an LLM Optimizer. Serve AI crawlers a structured version of your key pages. Salespeak's integration works with your existing infrastructure (Cloudflare, Vercel, WordPress, or whatever you're running). You'll start seeing which AI systems are crawling your site and what data they're pulling.

Step 4: Build toward verified endpoints. The agentic web is coming. Start structuring your product data (pricing, features, integrations, competitive positioning) in a format that can be served through an API. When verified endpoints become the standard (and they will), you want to be ready on day one.

The window is closing

Right now, most B2B companies haven't even done the audit. They don't know what AI says about them. They haven't looked. That means the companies that fix this first get a real advantage: accurate AI representation while competitors are still being hallucinated about.

But the window won't stay open. As more companies deploy LLM Optimizers and verified endpoints, the bar rises. The question shifts from "are you represented accurately?" to "are you represented better than your competitors?"

Start with the audit. You'll know within five minutes how bad the problem is. And once you see ChatGPT confidently telling a potential buyer the wrong price for your product, you won't need anyone to convince you this matters.

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