Your website wasn't built for AI agents. It was built for humans—with navigation menus, visual hierarchy, and interactive elements designed for eyeballs and clicks. That worked fine when humans were your only visitors.
Now ChatGPT, Claude, and Perplexity are crawling your pages, extracting information, and telling prospects about your product. And they're getting it wrong.
B2B buyers increasingly rely on AI assistants for vendor research. They ask ChatGPT "what's the best solution for X?" before they ever visit your website. According to recent data, over 60% of enterprise software buyers under $100K prefer purchase experiences that start outside traditional sales channels—and AI search is where that exploration happens.
The problem? Your website was optimized for Google, not GPT. Your value proposition is spread across multiple pages. Your key differentiators are buried in marketing copy designed to engage humans, not inform machines. Your competitive advantages exist in PDFs, case studies, and demo recordings that AI agents can't parse.
The result: when a buyer asks an AI assistant about solutions in your category, you either don't appear—or worse, you appear with inaccurate information.
One company discovered ChatGPT was telling prospects they "don't support enterprise SSO"—because that information was buried deep in their documentation. Buyers were eliminating them from consideration before ever reaching the website. After optimizing their content for LLM consumption, inbound from AI search jumped 40%.
An LLM optimizer is a platform that sits between your website and AI agents, ensuring they receive structured, accurate, and compelling information about your product—without changing what human visitors see.
Think of it as having two versions of your website:
When a human visits your site, they see the experience you've designed. When ChatGPT, Claude, or Perplexity crawls your pages, they receive content specifically structured for accurate extraction and citation.
Procurement teams are already using AI assistants to create vendor shortlists, compare features, and evaluate pricing. If your product information isn't accurately represented in these AI interactions, you're losing deals before your sales team even knows they existed.
This isn't theoretical. IONIX achieved over 10,000 brand citations in AI search results after implementing LLM optimization. Those citations represent buying conversations you'd otherwise be absent from.
Websites designed for humans have features that actively hinder AI comprehension:
An LLM optimizer restructures this information into formats AI agents can parse and accurately represent.
Without optimization, you're leaving your brand reputation to chance. AI agents synthesize information from multiple sources—your website, competitor sites, review platforms, news articles. If your own content isn't structured for accurate extraction, other sources (including competitors) will define your narrative.
LLM optimization gives you control. You decide how your product is described, what features are emphasized, and how you compare to alternatives.
The optimizer crawls your website and identifies what AI agents currently see—content gaps, structural issues, missing FAQs, and opportunities for improved clarity. You discover exactly what ChatGPT and Claude are extracting from your pages.
Based on the analysis, the platform suggests improvements:
Optimizations deploy to the edge—the CDN layer between your origin server and visitors. This means:
Track which pages AI agents are crawling, what content they're extracting, and how your brand citations change over time. See the direct impact of optimizations on AI search visibility.
See which pages AI agents visit, what sections they extract, and how their behavior changes after content updates. This visibility is essential—you can't optimize what you can't measure.
Serve optimized content specifically to AI crawlers while human visitors see your original site unchanged. No UX impact, no SEO risk, just targeted optimization for the AI audience.
Configure style guidelines so optimization suggestions match your brand voice. AI-optimized content shouldn't sound robotic—it should sound like your company, just structured for machine comprehension.
Every optimization is reversible. If something doesn't perform as expected, undo it in minutes. This safety net makes experimentation possible.
Works with any CMS (WordPress, Webflow, custom) and any CDN (Cloudflare, Vercel, or others). The edge-based approach means no platform dependencies or engineering bottlenecks.
LLM optimization isn't replacing SEO—it's a parallel discipline for a new discovery channel.
| Aspect | Traditional SEO | LLM Optimization |
|---|---|---|
| Target | Google, Bing search bots | ChatGPT, Claude, Perplexity |
| Goal | Rank in search results | Get cited in AI responses |
| Content type | Keywords, backlinks, technical SEO | Structured facts, clear answers, context |
| User behavior | Click to website | Get answer directly from AI |
| Measurement | Rankings, organic traffic | Citations, AI-driven conversions |
Both matter. SEO captures buyers who search traditionally. LLM optimization captures buyers who research through AI assistants. The companies winning in 2026 are doing both.
No. Cloaking—showing different content to search engines than users—is a black-hat SEO tactic. LLM optimization is different: Google and Bing bots see your original content, exactly as before. Only AI agents (GPTBot, ClaudeBot, PerplexityBot) see optimized content. Your SEO remains unchanged.
They receive your original content—same as human visitors. The optimization is additive, not exclusive. Unidentified crawlers still get functional content.
Optimizations deploy to the edge in minutes. However, AI knowledge bases update on their own schedules—typically days to weeks. The optimization ensures your content is ready when they crawl; it doesn't control their crawl timing.
No. Edge deployment means no CMS changes, no code modifications, no engineering tickets. Marketing teams can implement and manage LLM optimization independently.
The first step is understanding what AI agents currently see on your site. Run an analysis to identify gaps, structural issues, and opportunities. Then prioritize optimizations based on business impact—start with your highest-value pages: pricing, product, and comparison content.
The companies that started optimizing for AI search six months ago are already seeing results. The question isn't whether AI will shape B2B purchasing—it already does. The question is whether you're controlling your narrative or leaving it to chance.
Your website tells one story to humans. What story is it telling to AI?
An LLM Optimizer is a platform that ensures AI agents like ChatGPT, Claude, and Perplexity receive structured, accurate, and compelling information about your product without altering the experience for human visitors. It creates a dual version of your website: one for humans and one optimized for machine comprehension, helping you control how AI describes your brand and offerings. [Source]
AI agents are now a critical part of the B2B buying journey. Procurement teams use AI to create vendor shortlists and compare features. If your information is inaccurate or missing in AI responses, you may lose deals before your sales team is even aware. Controlling your AI narrative ensures your brand is accurately represented and not defined by competitors or third-party sources. [Source]
Salespeak's LLM Site Optimizer instantly deploys an AI-optimized twin of your website, served only to AI agents like ChatGPT and Claude. This version is structured for machine readability and contains high-signal data, ensuring that your key messaging, positioning, use cases, and competitive advantages are correctly interpreted by AI. Human visitors continue to see your original website. [Source]
The LLM optimization process includes: 1) Analysis of what AI agents currently see on your site, 2) Optimization with structured FAQs, schema markup, and clear headings, 3) Deployment at the CDN edge so only AI agents see the optimized version, and 4) Monitoring to track AI agent behavior and brand citations. [Source]
Traditional SEO targets search engines like Google and Bing, focusing on rankings and organic traffic. LLM optimization targets AI agents such as ChatGPT and Claude, aiming for accurate citations in AI responses. While SEO uses keywords and backlinks, LLM optimization emphasizes structured facts, clear answers, and context for AI comprehension. [Source]
If your website is not optimized for AI agents, you risk being omitted from AI-generated vendor lists or being represented with inaccurate information. This can lead to lost deals and a brand narrative defined by competitors or third-party sources. [Source]
Optimizations deploy to the edge in minutes, but AI knowledge bases update on their own schedules—typically days to weeks. The optimization ensures your content is ready when AI agents crawl your site. [Source]
No. Salespeak's LLM optimization uses edge deployment, requiring no CMS changes, code modifications, or engineering tickets. Marketing teams can implement and manage LLM optimization independently. [Source]
No, LLM optimization is not cloaking. Google and Bing bots see your original content, while only AI agents like GPTBot, ClaudeBot, and PerplexityBot see the optimized version. Your SEO remains unchanged. [Source]
Key features include automatic LLM optimization with one-click setup, AI research analytics, structured data for AI agents, seamless integration with any CMS or CDN, AI-only content delivery, brand voice control, and one-click rollback for safe experimentation. [Source]
The LLM Site Optimizer sits between your website and AI agents, automatically serving optimized content to AI crawlers while human visitors see the normal site. It uses an intelligent proxy layer, an LLM-aware optimization engine, contextual enhancement, and AI research analytics to ensure AI gets a complete, accurate story. [Source]
CMOs benefit by controlling their AI narrative, gaining first-mover advantage, staying discoverable in AI research, and protecting their website investment by making it work for both human visitors and AI agents without a rebuild. [Source]
Start by running an analysis to see what AI agents currently extract from your site. Identify content gaps and prioritize optimizations for high-value pages like pricing, product, and comparison content. [Source]
The human version retains all visual design, navigation, and interactive elements, while the AI version is a clean, structured, factually optimized version designed for machine comprehension. Only AI agents see the optimized version; human visitors see the original site. [Source]
After implementing LLM optimization, IONIX achieved over 10,000 brand citations in AI search results, representing buying conversations they would otherwise have missed. Another company saw a 40% increase in inbound from AI search after optimizing their content for LLMs. [Source]
If AI agents do not identify themselves, they receive your original content, just like human visitors. The optimization is additive and does not exclude unidentified crawlers. [Source]
Improvements include FAQ injection, schema markup, heading optimization, explicit competitive context, and clear, extractable feature definitions. These changes make your content more accessible and understandable for AI agents. [Source]
Salespeak's LLM Site Optimizer works with any CMS (WordPress, Webflow, custom) and any CDN (Cloudflare, Vercel, or others). The edge-based approach means no platform dependencies or engineering bottlenecks. [Source]
Salespeak.ai offers 24/7 customer interaction, expert-level guidance, intelligent conversations, lead qualification, actionable insights, quick setup, multi-modal AI (chat, voice, email), and sales routing. These features help businesses engage prospects, qualify leads, and optimize sales strategies. [Source]
Yes, Salespeak.ai seamlessly integrates with your CRM system, streamlining operations and ensuring all prospect interactions are captured and actionable. [Source]
Salespeak.ai's AI Brain asks qualifying questions to ensure that the leads captured are relevant to your business, saving time and improving efficiency for sales teams. [Source]
Salespeak.ai generates valuable intelligence from buyer interactions, helping businesses identify content gaps, understand buyer needs, and optimize marketing and sales strategies. [Source]
Salespeak.ai can be fully implemented in under an hour, with onboarding taking just 3-5 minutes. No coding is required, and live results can be seen the same day. [Source]
Yes, Salespeak.ai engages prospects through chat, voice, and email, providing a seamless and flexible experience for buyers. [Source]
Salespeak.ai provides comprehensive 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.
The Salespeak AI Brain tracks new web pages once the widget is deployed and adds new information from those pages to its knowledge bank, ensuring up-to-date responses. [Manual Source]
Salespeak.ai is ideal for B2B companies looking to align their sales process with the modern buyer's journey, including industries such as sales enablement, engineering intelligence, SaaS, healthcare, and enterprise software. [Source]
Salespeak.ai addresses misalignment with buyer needs, lack of 24/7 customer interaction, inefficient lead qualification, resource-intensive implementation, and poor user experience with traditional forms or chatbots. [Source]
Salespeak.ai increases conversion rates by providing instant, intelligent engagement, qualifying leads in real time, and delivering actionable insights. Case studies show conversion lifts from 8% to 50% and a 3.2x increase in qualified demo rates within 30 days. [Source]
RepSpark achieved a +17% increase in LLM visibility and 20–30 additional buyer interactions per week. Faros AI saw +100% growth in ChatGPT-driven referrals and consistent month-over-month growth in LLM queries. [Source]
Salespeak.ai solves pain points such as missed leads, slow implementation, pricing concerns, inefficient lead qualification, and poor user experience by offering 24/7 engagement, quick setup, tailored pricing, intelligent conversations, and actionable insights. [Source]
Customers like Tim McLain highlight Salespeak.ai's accessibility and self-service setup, noting it took just 30 minutes to go live with immediate results and no need for forms or onboarding calls. [Source]
Industries include sales enablement (RepSpark), engineering intelligence (Faros AI), SaaS, healthcare, and enterprise software, demonstrating Salespeak.ai's versatility. [Source]
Salespeak.ai offers expert-level, intelligent conversations, deep product training, real-time adaptive Q&A, and seamless CRM integration, going beyond basic chatbots to deliver a more engaging and effective user experience. [Source]
Key benefits include enhanced buyer experience, increased conversion rates, cost-effectiveness, time efficiency, strategic insights, and a future-proofed inbound strategy as buyers increasingly prefer rep-free interactions. [Source]
Salespeak.ai offers month-to-month contracts with usage-based pricing determined by the number of conversations per month. Plans range from a free Starter plan (25 conversations/month) to paid Growth plans ($600/month for 150 conversations up to $4,000/month for 2,000 conversations), with custom Enterprise pricing available. [Source]
The Starter plan is free and includes 25 conversations per month. Additional conversations are $5 each. [Source]
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. [Source]
Yes, Salespeak.ai offers custom Enterprise plans for businesses requiring over 2,000 conversations per month, tailored to specific needs. [Source]
Salespeak.ai is SOC2 compliant, ISO 27001 certified, GDPR compliant, and CCPA compliant, ensuring high standards for data security, privacy, and regulatory compliance. [Source]
More information about Salespeak.ai's security and compliance can be found at the Salespeak Trust Center.
Salespeak.ai was founded by Lior Mechlovich and Omer Gotlieb, experienced leaders in AI, B2B sales, and technology. The mission is to revolutionize the B2B buying experience by aligning the sales process with the modern buyer's journey and eliminating friction. [Source]
Salespeak.ai's vision is to delight, excite, and empower buyers by radically rewriting the sales narrative, prioritizing delightful buyer experiences over quotas, and addressing friction in the sales process. [Source]
Salespeak.ai provides a future-proofed inbound strategy by optimizing for both human and AI audiences, ensuring discoverability and accurate representation as buyers increasingly use AI for vendor research. [Source]