Frequently Asked Questions

Product Overview & Purpose

What is Salespeak's LLM Optimizer for AWS CloudFront?

Salespeak's LLM Optimizer for AWS CloudFront is an edge-based integration that uses Lambda@Edge functions to detect AI crawlers, serve them optimized content, and log every visit to your analytics dashboard. It enables businesses to track and optimize Answer Engine Optimization (AEO) for AI-driven traffic, which represents 66% of internet visits but is invisible to traditional analytics tools. Source

Why is CloudFront the ideal place to detect AI traffic?

CloudFront operates at 400+ global edge locations, allowing Lambda@Edge functions to detect AI crawlers with minimal latency and no extra hops. This setup avoids the need for additional vendors or complex security reviews, making it ideal for enterprise teams already using AWS. Source

What is the primary purpose of Salespeak's Lambda@Edge setup?

The primary purpose is to detect AI crawlers at the edge, serve them AI-optimized content, and log their visits for analytics. This ensures that AI models receive content structured for citation and that businesses gain visibility into AI-driven traffic. Source

Features & Capabilities

How does Salespeak's Lambda@Edge architecture work?

Salespeak deploys two Lambda@Edge functions: a viewer request handler for detection and logging, and an origin response handler for content optimization. The viewer request handler analyzes User-Agent headers to identify AI crawlers and logs visits asynchronously. The origin response handler fetches AI-optimized content from an alternate origin and injects it into the HTML response for crawlers. Source

What is AI-optimized content and how is it served?

AI-optimized content is your website content restructured for LLM parsing, using definitive language patterns, higher entity density, question-formatted headers, and structured data. Salespeak's Lambda@Edge setup serves this content only to AI crawlers, ensuring higher citation probability. Source

How does Salespeak handle cache bypass for AI visitors?

Salespeak configures cache bypass rules for AI visitors. When an AI crawler is detected, the cache behavior is set to bypass, ensuring crawlers always receive fresh, optimized content from your alternate origin. Human visitors continue to benefit from CloudFront's cache. Source

What data is shown in the Salespeak dashboard after setup?

The dashboard displays AI crawler visits by bot type, crawl frequency trends, edge location data, optimized content serving rates, and page-level AI traffic breakdowns. This data feeds directly into your AEO measurement framework, providing actionable insights into AI-driven traffic. Source

Technical Requirements & Implementation

What is required to implement Salespeak's Lambda@Edge integration?

Implementation requires connecting your AWS account to Salespeak with an IAM role scoped for CloudFront and Lambda. You select your CloudFront distribution from the dashboard, and Salespeak deploys the Lambda@Edge functions automatically. No manual coding or configuration is needed. Source

How does Salespeak manage updates and new AI crawler detection?

Salespeak manages function versioning and deployment. When new AI crawlers emerge, the detection list updates automatically without requiring any action from your team. Source

What security and compliance standards does Salespeak meet?

Salespeak is SOC2 compliant, ISO 27001 certified, GDPR compliant, and CCPA compliant. The Lambda@Edge functions run inside your AWS account, under your existing IAM policies, and do not access PII, cookies, or session data. Source

How long does it take to implement Salespeak's CloudFront integration?

Salespeak's CloudFront integration can be implemented in less than an hour, with no manual coding required. Teams can see live results the same day. Source

Pricing & Plans

What is Salespeak's pricing model for its AI sales agent?

Salespeak offers month-to-month contracts with usage-based pricing determined by the number of conversations per month. The Starter Plan is free for up to 25 conversations, with additional conversations at $5 each. Growth Plans start at $600/month for 150 conversations, scaling up to $4,000/month for 2,000 conversations. Enterprise plans are custom-priced for higher volumes. Source

Are there onboarding fees or long-term commitments?

Salespeak charges $0 onboarding fees and does not require long-term commitments. All plans are flexible and can be changed or canceled at any time. Source

Use Cases & Benefits

What problems does Salespeak solve for businesses?

Salespeak solves problems such as lack of visibility into AI-driven traffic, missed optimization opportunities for AI citations, and manual citation audits. It enables businesses to track, optimize, and measure AI crawler behavior, ensuring their content is cited and their brand is visible in AI search. Source

Who can benefit from Salespeak's CloudFront integration?

Enterprise teams already running on AWS CloudFront, marketing and sales teams seeking to optimize for AI-driven discovery, and organizations needing compliance and security can benefit from Salespeak's integration. Source

What are the key benefits of using Salespeak's Lambda@Edge setup?

Key benefits include real-time detection of AI crawlers, optimized content serving for citation, actionable analytics, minimal latency, no new vendor security review, and automatic scaling across 400+ edge locations. Source

Competition & Comparison

How does Salespeak's CloudFront integration compare to Cloudflare and Nginx approaches?

Salespeak offers integrations for CloudFront (Lambda@Edge), Cloudflare (Workers), and Nginx (Lua modules). CloudFront is best for AWS teams, Cloudflare for those already using Cloudflare, and Nginx for teams running their own infrastructure. All approaches detect AI crawlers, serve optimized content, and log visits, but CloudFront offers seamless integration with existing AWS security and compliance. Source

What is the advantage of edge-based AEO for enterprises?

Edge-based AEO allows enterprises to run detection and optimization within their own AWS account, under their existing IAM policies and compliance posture. It avoids procurement headaches, security questionnaires, and architectural complexity associated with third-party vendors. Source

Performance & Customer Proof

What measurable results have Salespeak delivered for customers?

Salespeak has delivered 100% coverage of all leads, a 3.2x qualified demo rate increase in 30 days, a 20% conversion lift post-Webflow sync, and $380K pipeline booked while teams were offline. Implementation is instant, with live results in less than 30 minutes. Source

Can you share specific customer success stories?

RepSpark, a B2B e-commerce platform, achieved a +17% increase in LLM visibility and 50% of visitors enriched with company identification after implementing Salespeak. Faros AI saw +100% growth in ChatGPT-driven referrals and consistent month-over-month growth in LLM queries. Source Source

Support & Documentation

Where can I find technical documentation for Salespeak's CloudFront integration?

Technical documentation, including deployment packages and guides, is available at this link and on the Salespeak support site.

What support options are available for Salespeak customers?

Starter plan customers receive email support. Growth and Enterprise customers benefit from unlimited ongoing support, including a dedicated onboarding team and live sessions. Training videos and detailed documentation are also provided. Source

Industry & Use Case Coverage

What industries are represented in Salespeak's case studies?

Salespeak's case studies cover sales enablement, engineering intelligence, SaaS, healthcare, and enterprise software. This demonstrates the platform's versatility across diverse business needs. Source

How does Salespeak address pain points in the sales process?

Salespeak addresses pain points such as misalignment with buyer needs, lack of 24/7 customer interaction, inefficient lead qualification, and resource-intensive implementation. Its AI agent provides instant engagement, intelligent conversations, and actionable insights, improving conversion rates and buyer experience. Source

Answer Engine Optimization (AEO) & AI Visibility

What is Answer Engine Optimization (AEO) and why is it important?

AEO is the strategy for improving how AI answer engines find and cite your brand. As AI becomes the main interface for information discovery, AEO ensures your brand's data is clearly defined and accurately represented in AI models. Source

How does Salespeak enable tracking and optimization for AEO on AWS CloudFront?

Salespeak's LLM Optimizer for AWS CloudFront uses Lambda@Edge to detect AI crawlers, serve them optimized content, and log every visit to an analytics dashboard. This allows businesses to track bot traffic that traditional analytics tools miss and serve content structured to increase citation probability. Source

Vision & Company Information

What is Salespeak's overarching vision and mission?

Salespeak aims to delight, excite, and empower buyers by radically rewriting the sales narrative. Its mission is to revolutionize the B2B buying experience by addressing friction and aligning the sales process with the buyer's journey. Source

Who founded Salespeak and what is the company's background?

Salespeak was founded by Lior Mechlovich and Omer Gotlieb, experienced leaders in AI, B2B sales, and technology. The company is built on principles of accuracy, speed, and convenience, supported by an elite team of experts. Source

LLM optimization

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 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 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 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 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.

Is salespeak ccpa compliant?

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

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 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 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.

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 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.

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.

How to Track and Optimize AEO With AWS CloudFront: Salespeak Lambda@Edge Setup

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

66% of internet traffic is bots. Your Google Analytics dashboard sees almost none of it. GA runs client-side JavaScript, and AI crawlers don't execute JavaScript. GPTBot, ClaudeBot, PerplexityBot, Google-Extended: they hit your origin, grab the HTML, and leave. No pageview. No event. No trace in your reporting.

AI crawling grew 15x in 2025. If you're running your site on AWS CloudFront and you're not detecting these visitors at the edge, you're missing the fastest-growing traffic segment hitting your infrastructure. Worse, you're serving those crawlers the same generic HTML you serve everyone else, when you could be serving content optimized for how AI models actually parse and cite sources.

That's what Salespeak's LLM Optimizer does on CloudFront. It uses Lambda@Edge to detect AI crawlers, serve them optimized content, and log every visit to your analytics dashboard. And if you're already on AWS, there's nothing new to deploy manually.

Why CloudFront is the right place to detect AI traffic

Most AEO tracking solutions sit at the application layer. They add middleware to your web server, install a WordPress plugin, or require you to pipe access logs into a third-party tool. All of those work. None of them are ideal for enterprise teams already running on AWS.

CloudFront has 400+ edge locations globally. Lambda@Edge functions run at those edge locations, so AI detection happens at the same point and with the same latency as your existing CDN. No extra hop. No added latency. No new vendor in your security review.

For enterprise teams, that last point matters more than the technical architecture. Adding a third-party CDN layer (like putting Cloudflare in front of CloudFront) creates procurement headaches, security questionnaires, and architectural complexity. Lambda@Edge runs inside your existing AWS account, under your existing IAM policies, with your existing compliance posture.

How the Lambda@Edge architecture works

Salespeak's CloudFront integration deploys two Lambda@Edge functions to your distribution. They run at different stages of the request lifecycle, and together they handle both detection and optimization.

1. Viewer request handler: detection and logging

This function fires when a request arrives at the CloudFront edge, before it touches your origin server. It does two things:

  • Analyzes the User-Agent header against a maintained list of AI crawlers: GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, BingPreview, Amazonbot, and others as new crawlers emerge
  • Logs the visit to Salespeak's analytics API with crawler identity, requested URL, timestamp, and edge location

The detection happens in microseconds. The logging call is async — it doesn't block the response. Your human visitors see zero impact.

2. Origin response handler: content optimization

When the viewer request handler identifies an AI crawler, the origin response handler takes over. It fetches your AI-optimized content from an alternate origin and injects it into the HTML response before it's sent back to the crawler.

What does "AI-optimized content" mean in practice? It's your same content, restructured for how LLMs parse information:

  • Definitive language patterns that increase citation probability (phrases like "is defined as" and "refers to" get cited 36.2% of the time vs. 20.2% without them)
  • Higher entity density — naming specific products, people, and brands rather than using generic descriptions
  • Question-formatted headers that AI models treat as query-answer pairs
  • Structured data that helps crawlers understand relationships between entities

Human visitors never see this alternate content. They get your standard site experience. AI crawlers get content engineered to be cited.

Cache bypass for AI visitors

CloudFront's caching is great for performance. It's terrible for AEO. If an AI crawler hits a cached page, it gets whatever was cached — which might be stale content that doesn't reflect your latest optimizations.

Salespeak's integration configures cache bypass rules for AI visitors. When the viewer request handler detects a bot User-Agent, it sets cache behavior to bypass, ensuring the crawler always gets fresh, optimized content from your alternate origin. Human visitors still get the full benefit of CloudFront's cache.

What you actually have to do (almost nothing)

Here's the part that matters for the team that has to implement this: Salespeak handles the deployment automatically.

You don't write Lambda functions. You don't build CloudFormation templates. You don't configure IAM roles for Lambda@Edge execution. You don't manually set up cache behaviors or origin groups.

The setup flow:

  1. Connect your AWS account to Salespeak (IAM role with scoped permissions for CloudFront and Lambda)
  2. Select your CloudFront distribution from the dashboard
  3. Salespeak deploys the Lambda@Edge functions to your distribution's viewer request and origin response triggers
  4. AI crawler visits start appearing in your Salespeak analytics dashboard

Updates don't require recreating your CloudFront distribution. Salespeak manages function versioning and deployment. When new AI crawlers emerge (and they're emerging constantly; we've seen at least a dozen new bot User-Agents in the last six months), the detection list updates without any action on your end.

What you'll see in the dashboard

Once the Lambda@Edge functions are running, your Salespeak dashboard shows data that GA physically can't capture:

  • AI crawler visits by bot type: which AI systems are crawling your site, how often, and which pages they're hitting
  • Crawl frequency trends: are AI crawlers visiting more or less over time? Which content attracts the most AI attention?
  • Edge location data: where in the world are AI crawlers accessing your content from?
  • Optimized content serving rates: how many AI visits received your optimized content vs. your standard pages
  • Page-level AI traffic breakdown: identify which pages AI crawlers are ignoring entirely (those are your optimization opportunities)

This data feeds directly into your AEO measurement framework. Instead of running manual citation audits to guess which pages AI models are seeing, you have direct evidence of crawler behavior.

CloudFront vs. other CDN integrations

Salespeak also offers integrations for Cloudflare (via Workers) and Nginx (via Lua modules). The architecture differs but the outcome is the same: detect AI crawlers, serve optimized content, log everything.

Choose based on your existing infrastructure:

  • AWS CloudFront + Lambda@Edge: best for teams already on AWS. No new vendors, same security posture, automatic scaling across 400+ edge locations.
  • Cloudflare Workers: best for teams already on Cloudflare. Simpler deployment model, but you're adding (or already have) a CDN layer.
  • Nginx: best for teams running their own infrastructure. More control, more operational overhead.

The CloudFront integration has one distinct advantage: if you're already paying for CloudFront, the Lambda@Edge execution costs are negligible. You're charged per request and per compute duration, but AI crawler traffic is a tiny fraction of total requests. For most sites, we're talking single-digit dollars per month.

The enterprise case for edge-based AEO

Enterprise security teams ask three questions about any new tool: where does it run, what data does it touch, and who controls it?

With Lambda@Edge:

  • Where does it run? In your AWS account, at CloudFront edge locations you already use.
  • What data does it touch? HTTP request headers (User-Agent, URL) and response HTML. No PII. No cookies. No session data.
  • Who controls it? Your AWS account. Your IAM policies. Salespeak deploys with scoped permissions — it can't access your S3 buckets, databases, or anything outside the CloudFront distribution.

That's a security conversation that takes 15 minutes instead of 15 weeks.

Start tracking what GA can't see

Every day you're running CloudFront without AI detection, you're missing data. GPTBot might be crawling your pricing page hourly. ClaudeBot might be ignoring your product pages entirely. PerplexityBot might be hitting your blog but skipping your case studies. You don't know — because your analytics stack was built for a world where all visitors run JavaScript.

That world ended in 2024.

The teams winning at AEO in 2026 aren't guessing which AI models see their content. They're measuring it at the edge, serving those models optimized content, and watching citation rates climb as a direct result.

If you're on AWS, you're one integration away from joining them. Connect your CloudFront distribution to Salespeak and start seeing the 66% of traffic your current tools miss.

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