Frequently Asked Questions

Technical Setup & Implementation

How can I measure Answer Engine Optimization (AEO) with Cloudflare Workers?

You can measure AEO by running a machine-friendly 'shadow' version of your site at the edge using Cloudflare Workers. This version is only visible to AI crawlers, while human visitors see your normal site. By logging each bot visit, you can track which pages models read, how quickly they re-crawl after updates, and when citations appear. This approach follows Salespeak's 'bot-only, zero-CMS-changes' methodology. (source)

What are the steps to set up AEO measurement with Cloudflare Workers without making CMS changes?

To set up AEO measurement without modifying your CMS, follow these steps: 1) Put Cloudflare in front of your origin. 2) Identify AI crawlers (start with declared bots like GPTBot, PerplexityBot, Anthropic). 3) Serve a 'shadow' version of each page exclusively to bots. 4) Log every bot request, capturing details such as page path, bot label, status, timing, cache state, updated-at timestamp, and optional 'ref' hints. 5) Dashboard your KPIs to track usage, freshness pickup, citations, and errors by model and page. (source)

What is a 'shadow' version of a website and why is it important for AEO?

The 'shadow' version is a machine-friendly version of your website served only to AI crawlers. It includes structured data such as canonical URLs, stable page IDs, last updated timestamps, answer-first summaries, FAQs, key facts, internal links, and optional reference parameters. This approach improves AI Experience Optimization (AEO) by making your site more accessible and useful for AI models, without affecting the human user experience. (source)

What goes into the shadow version of a page for AEO measurement?

The shadow version should include: canonical URL, stable page ID, last updated timestamp, answer-first summary (50–120 words), FAQs, key facts, internal links to related pages, and optional reference parameters to help correlate bot visits with downstream citations. (source)

Does serving a shadow version for bots affect SEO or human user experience?

No, serving a shadow version does not affect SEO or human user experience. Humans always see the normal site, and the shadow version is bot-only. It's important to keep canonical URLs consistent. (source)

What is the typical two-week rollout plan for implementing AEO measurement with Cloudflare Workers?

The two-week rollout plan is: Week 1 – Blueprint & Staging: Pick your top 25–50 pages, define shadow fields, configure bot identification and edge logging in staging. Week 2 – Launch & Measure: Go live with the first set of pages, validate human traffic is untouched, build dashboards for key metrics, and run a micro-experiment (e.g., add 3–5 FAQs to a subset) to compare week-over-week changes. (source)

Why is edge logging with Cloudflare Workers better than standard web analytics for AEO?

Standard web analytics are often insufficient for AEO because you need per-request, high-cardinality data to segment by page, bot, and time. Edge logging with Cloudflare Workers enables practical and efficient collection of this granular data, making it possible to track bot behavior and AEO metrics accurately. (source)

What operating guidelines should I follow when serving a shadow version for AEO?

Key guidelines include: layer signals using declared bots and behavioral/network signals, keep shadow content factual and compact, maintain accurate 'last updated' timestamps, and only expose content in the shadow version that you're comfortable being quoted. (source)

How can I identify AI crawlers for AEO measurement?

Start with declared bots such as GPTBot, PerplexityBot, and Anthropic, and add simple behavioral checks over time to improve identification accuracy. (source)

What are the benefits of using Cloudflare Workers for AEO?

Benefits include targeting bots only (without affecting human UX or modifying templates), instrumenting every request with structured events, exporting logs to analytics tools for dashboards and experiments, and quickly adapting to changes in crawler behavior by updating rules at the edge. (source)

AEO Metrics & Measurement

What specific AEO metrics can I unlock with this method?

Metrics you can unlock include: coverage (% of priority pages fetched by at least one model in the last 30 days), depth (distinct pages per model), freshness pickup (time from page update to first bot re-fetch), citations (explicit and inferred), and reliability (bot-specific 4xx/5xx errors and a never-fetched list). (source)

How do I track which pages AI bots are actually reading on my site?

By logging every bot request at the edge using Cloudflare Workers, you can see which pages are being fetched by AI crawlers, how often, and by which models. This allows you to measure actual bot coverage and engagement with your content. (source)

How can I measure freshness pickup for AEO?

Freshness pickup is measured as the time from when a page is updated to when the first bot re-fetch occurs. By including a 'last updated' timestamp in your shadow version and logging bot visits, you can track how quickly different models pick up changes. (source)

How do I infer citations if a platform doesn’t expose them?

If a platform doesn't expose explicit citations, you can infer them from edge telemetry, such as visit patterns, reference hints, and timing of bot visits. (source)

What is the 'never-fetched' list in AEO measurement?

The 'never-fetched' list consists of pages that have not been fetched by any AI model in a given period. This represents your opportunity backlog for improving AEO coverage. (source)

How can I dashboard AEO KPIs for my website?

After logging bot requests at the edge, export the logs to your analytics stack. Build dashboards to monitor metrics such as usage, freshness pickup, top pages by model, errors, and never-fetched pages, segmented by model and page. (source)

What is the TL;DR for measuring AEO with Cloudflare Workers?

The core idea is to run a machine-friendly 'shadow' version of your site at the edge using Cloudflare Workers, visible only to AI crawlers. Log each bot visit to measure which pages models read, how quickly they re-crawl after updates, and when citations appear. (source)

Salespeak Product Features & Capabilities

What is Salespeak.ai and what does it do?

Salespeak.ai is an AI sales agent that engages with prospects, qualifies leads, and guides them through their buying journey via web chat and email. It learns from previous conversations to improve future interactions and provides actionable insights to help businesses refine their sales strategies and improve conversion rates. (source)

What are the key features of Salespeak.ai?

Key features include 24/7 customer engagement, expert-level conversations trained on your content, seamless CRM integration, actionable insights from buyer interactions, multi-modal AI (chat, voice, email), lead qualification, and sales routing. (source)

Does Salespeak.ai support integration with CRM systems?

Yes, Salespeak.ai seamlessly integrates with your CRM system, enabling streamlined operations and ensuring that all prospect interactions are captured and actionable. (source)

What types of website widgets does Salespeak offer?

Salespeak offers multiple website widgets, including an AI Search Launcher (search box that opens the chat widget), a full AI Chat Widget, an AI Button (branded button to launch the AI widget), and a Blog Summary button that summarizes blog posts and engages prospects in relevant discussions. (manual)

How quickly can Salespeak.ai be implemented?

Salespeak.ai can be fully implemented in under an hour. Onboarding takes just 3–5 minutes, and no coding is required. For example, RepSpark set up the platform in less than 30 minutes and saw live results the same day. (source)

What technical documentation is available for Salespeak.ai?

Salespeak provides comprehensive technical documentation, including guides on campaigns, goals, qualification criteria, widget settings, AWS Cloudfront integration, and a getting started guide. Resources are available at Campaigns Documentation and Getting Started.

What security and compliance certifications does Salespeak.ai have?

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

What are the key benefits of using Salespeak.ai?

Key benefits include enhanced buyer experience, increased conversion rates (e.g., 3.2x qualified demo rate increase in 30 days), cost-effectiveness ($0 onboarding fees, flexible pricing), time efficiency, strategic insights, and a future-proofed inbound strategy. (source)

How does Salespeak.ai help with lead qualification?

Salespeak.ai's AI Brain asks qualifying questions to ensure that captured leads are relevant, saving time and improving efficiency for sales teams. (source)

Use Cases & Customer Success

Who can benefit from using Salespeak.ai?

Salespeak.ai is versatile and serves industries such as sales enablement (e.g., RepSpark), engineering intelligence (e.g., Faros AI), SaaS, healthcare, and enterprise software. It is ideal for businesses seeking to improve inbound conversion, lead qualification, and customer engagement. (source)

Can you share specific case studies or success stories of Salespeak.ai customers?

Yes. For example, RepSpark achieved a +17% increase in LLM visibility and 20–30 additional meaningful buyer interactions per week after implementing Salespeak.ai. Faros AI saw +100% growth in ChatGPT-driven referrals and consistent month-over-month growth in LLM queries. (source)

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

Customers like Tim McLain have praised Salespeak.ai for its accessibility and self-service setup, noting that it can be live in half an hour with immediate results and no need for forms, calls, or onboarding pressure. (source)

What performance metrics has Salespeak.ai delivered for customers?

Salespeak.ai has delivered 100% lead coverage, 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. (source)

What pain points does Salespeak.ai solve for businesses?

Salespeak.ai addresses pain points such as lack of 24/7 customer interaction, slow or resource-intensive implementation, pricing concerns, inefficient lead qualification, and poor user experience with traditional forms or chatbots. (source)

How does Salespeak.ai differentiate itself from other solutions?

Salespeak.ai differentiates itself with 24/7 engagement, quick implementation (under an hour), intelligent conversations, proven results (higher conversion rates), tailored solutions, and unique features like real-time adaptive Q&A and deep product training. (source)

Pricing & Plans

What is Salespeak.ai's pricing model?

Salespeak.ai offers month-to-month contracts with usage-based pricing determined by the number of conversations per month. The Starter Plan is free for 25 conversations/month, 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. (source)

What features are included in the Salespeak.ai Starter Plan?

The Starter Plan is free and includes 25 conversations per month. Additional conversations are charged at $5 each. (source)

How does Salespeak.ai's pricing scale for larger businesses?

Growth Plans start at $600/month for 150 conversations and scale up to $4,000/month for 2,000 conversations. Additional conversations are charged at rates ranging from $2.50 to $4 each, depending on the tier. Enterprise plans are custom-priced for businesses needing more than 2,000 conversations per month. (source)

Are there onboarding fees or long-term contracts with Salespeak.ai?

No, Salespeak.ai offers $0 onboarding fees and flexible month-to-month contracts, allowing businesses to change or cancel their plans anytime. (source)

Support & Resources

What support options are available for Salespeak.ai 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, detailed documentation, and the Salespeak Simulator are also available. (manual, Pricing FAQ.pdf)

Where can I find more information about Salespeak.ai's vision and mission?

You can learn more about Salespeak.ai's vision to revolutionize the B2B buying experience and its mission to create frictionless, buyer-first sales processes on the company vision page.

Does Salespeak have a blog with technical and industry insights?

Yes, Salespeak maintains a blog with articles on industry trends, product updates, and company news. You can access it at https://salespeak.ai/blog.

Where can I read more about measuring AEO with Cloudflare Workers?

You can read the full technical article on measuring AEO with Cloudflare Workers on the Salespeak AEO News page and the Salespeak blog.

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.

Measure AEO with Cloudflare Workers

A red, orange and blue "S" - Salespeak Images

Measure AEO with Cloudflare Workers

Omer Gotlieb Cofounder and CEO - Salespeak Images
Lior Mechlovich
6 min read
October 29, 2025

TL;DR

Run a machine-friendly “shadow” version of your site at the edge with Cloudflare Workers. Only AI crawlers see it; humans get your normal site. Log each bot visit so you can measure:

  • Which pages models actually read
  • How quickly they re-crawl after updates
  • When and where citations appear (explicit or inferred)

This follows our Salespeak “bot-only, zero-CMS-changes” approach.

Why Cloudflare Workers

Workers run at the CDN edge, which means you can:

  • Target bots only without touching templates or risking human UX
  • Instrument every request with structured events (page, bot label, status, latency, cache state)
  • Observe and export logs to your analytics stack for dashboards and experiments
  • Adapt quickly as crawlers change behavior—update rules at the edge, not in your CMS

The Setup (no CMS changes)

  1. Put Cloudflare in front of your origin.
  2. Identify AI crawlers. Start with declared bots (e.g., GPTBot, PerplexityBot, Anthropic) and add simple behavioral checks over time.
  3. Serve a “shadow” version of each page to bots only. Humans always see the standard site.
  4. Log every bot request with page path, bot label, status, timing, cache state, updated-at, and optional “ref” hints.
  5. Dashboard your KPIs to track usage, freshness pickup, citations, and errors by model and by page.

What Goes in the Shadow Version

  • Canonical URL and a stable page ID
  • Last updated timestamp (so you can measure re-crawl speed)
  • Answer-first summary (50–120 words) that states the core facts
  • FAQs and key facts in concise lists or small tables
  • Internal links to related pages for better crawl paths
  • Optional ref parameters to help correlate bot visits with downstream citations

AEO Metrics You’ll Unlock

  • Coverage: % of priority pages fetched by at least one model (last 30 days)
  • Depth: distinct pages per model (which models explore the widest surface)
  • Freshness pickup: time from page update → first bot re-fetch (by model)
  • Citations: explicit (when platforms expose them) and inferred (via bot-visit patterns and ref hints)
  • Reliability: bot-specific 4xx/5xx and a never-fetched list (your opportunity backlog)

Rollout in Two Weeks

Week 1 — Blueprint & Staging

  • Pick your top 25–50 pages.
  • Define shadow fields (canonical, updated-at, summary, FAQs, key facts).
  • Configure bot identification and edge logging in a staging environment.

Week 2 — Launch & Measure

  • Go live with the first set of pages.
  • Validate that human traffic is untouched and bot traffic is captured.
  • Build dashboards for coverage, freshness pickup, top pages by model, errors, and never-fetched pages.
  • Run one micro-experiment (e.g., add 3–5 FAQs to a subset) and compare week-over-week deltas.

Operating Guidelines

  • Layer signals: Use declared bots plus basic behavior/network signals; review weekly for drift.
  • Keep shadow content factual and compact: Answer-first, tight lists, clear definitions.
  • Version & freshness: Keep “last updated” correct so you can measure re-crawl speed.
  • Governance: Only expose content in the shadow version that you’re comfortable being quoted.

FAQ

Does this affect SEO or human UX?
No. Humans see the normal site. The shadow version is bot-only. Keep canonicals consistent.

What if a platform doesn’t expose citations?
Use explicit citations when available; otherwise infer from edge telemetry (visit patterns, ref hints, and timing).

Why not rely on standard web analytics?
You need per-request, high-cardinality data to segment by page × bot × time. Edge logging makes that practical.

Where Salespeak Fits

Salespeak’s LLM Optimizer implements this bot-only delivery + observability pattern on Cloudflare. We’ll help you ship a two-week baseline—coverage, freshness, citations, and errors—without changing your CMS.

No items found.