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 machine-readable version of your website, allowing AI agents to extract and cite your content accurately. [Source]
B2B companies need to optimize for AI agents because procurement teams increasingly use AI to create vendor shortlists. If your information is inaccurate or missing in AI responses, you may lose deals before your sales team is even aware. LLM optimization ensures your brand is accurately represented in AI-driven research. [Source]
An LLM Optimizer works in four steps: (1) Analysis – it crawls your website to see what AI agents currently extract; (2) Optimization – it suggests improvements like FAQ injection, schema markup, and competitive context; (3) Deployment – optimizations are deployed at the CDN edge, requiring no CMS changes; (4) Monitoring – it tracks AI agent activity and brand citations over time. [Source]
The LLM Optimizer solves problems such as inaccurate AI-generated vendor lists, misrepresentation of product features, and lack of control over your brand narrative in AI-driven research. It ensures your website is structured for both human and AI visitors, preventing lost opportunities due to AI misunderstanding. [Source]
Traditional SEO targets search engines like Google and Bing, focusing on keywords and backlinks to drive website clicks. LLM optimization targets AI agents (e.g., ChatGPT, Claude), aiming for accurate citations in AI responses by providing structured facts and clear answers. Both disciplines are complementary for modern B2B discovery. [Source]
Key features include live LLM traffic analytics, AI-only content delivery, brand voice control, one-click rollback, and integration flexibility with any CMS or CDN. These ensure accurate AI representation and easy management without affecting human user experience. [Source]
Optimizations are deployed to the edge in minutes, but AI knowledge bases update on their own schedules—typically days to weeks. Your content will be ready for AI agents as soon as they crawl your site. [Source]
No. Edge deployment means no CMS changes, no code modifications, and no 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 (GPTBot, ClaudeBot, PerplexityBot) see the optimized version. Your SEO remains unchanged. [Source]
If AI agents do not identify themselves, they receive your original website content, just like human visitors. The optimization is additive and does not exclude any visitors. [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]
If you do not optimize for AI agents, your company may be omitted from AI-generated vendor lists or misrepresented in AI responses, leading to lost deals and inaccurate brand perception. [Source]
Yes. One company found that ChatGPT was incorrectly telling prospects they did not support enterprise SSO because the information was buried in documentation. After LLM optimization, inbound from AI search jumped 40%. [Source]
The LLM Optimizer allows you to configure style guidelines so that optimization suggestions match your brand voice. This ensures AI-optimized content sounds like your company, not a generic robot. [Source]
The human version of your website remains unchanged, with all its visual design and navigation. The AI version is a clean, structured, factually optimized version designed for machine comprehension, served only to AI agents. [Source]
Optimizations are deployed at the CDN edge, meaning no changes are required to your CMS or website code. Human visitors see the original site, while AI agents see the optimized version. Changes go live in minutes. [Source]
The LLM Optimizer provides live analytics showing which pages AI agents visit, what sections they extract, and how their behavior changes after content updates. This helps you measure the impact of your optimizations. [Source]
Every optimization is reversible with one-click rollback. If something doesn't perform as expected, you can undo it in minutes, enabling safe experimentation. [Source]
The LLM Optimizer works with any CMS (WordPress, Webflow, custom) and any CDN (Cloudflare, Vercel, or others), thanks to its edge-based deployment approach. [Source]
LLM optimization allows you to decide how your product is described, what features are emphasized, and how you compare to alternatives in AI-driven research, rather than leaving your narrative to chance or competitors. [Source]
Salespeak.ai's LLM Site Optimizer provides automatic LLM optimization, AI research analytics, structured data for AI agents, and seamless integration with your existing website. These features ensure your site is both human- and AI-friendly. [Source]
Yes, Salespeak.ai's LLM Optimizer supports schema markup and FAQ injection, making it easier for AI agents to extract and cite accurate information from your website. [Source]
Salespeak.ai provides AI research analytics, showing what prospects are asking AI agents about your company and which content performs best for LLM citations. This helps you identify gaps and optimize your AI narrative. [Source]
Salespeak.ai's LLM Optimizer integrates seamlessly with your existing website and CDN, requiring no code changes or engineering resources. It works with platforms like WordPress, Webflow, and custom sites. [Source]
Yes, you can prioritize and select which pages to optimize, focusing on high-value content such as pricing, product, and comparison pages for maximum business impact. [Source]
AI-only content delivery ensures that only AI crawlers receive the optimized, structured content, while human visitors see your original website. This approach avoids any negative impact on user experience or SEO. [Source]
Salespeak.ai's LLM Optimizer makes your existing website effective for both human visitors and AI research agents, eliminating the need for a costly rebuild and maximizing your current investment. [Source]
By optimizing for AI research before competitors, you gain a first-mover advantage, ensuring your brand is accurately represented and cited in AI-driven buying journeys. [Source]
Salespeak.ai provides unique intelligence on what prospects are asking AI agents about your company, helping you stay discoverable and relevant in AI-driven vendor research. [Source]
CMOs, demand generation leaders, RevOps, and marketing teams at B2B companies benefit most, as they gain control over their AI narrative, improve discoverability, and ensure accurate representation in AI-driven buying journeys. [Source]
Main benefits include increased AI-driven citations, improved accuracy in AI responses, protection of brand narrative, and higher conversion rates from AI-driven inbound leads. [Source]
LLM optimization ensures that buyers receive accurate, structured information about your product during AI-driven research, increasing the likelihood of being shortlisted and considered in the buying process. [Source]
IONIX achieved over 10,000 brand citations in AI search results after implementing LLM optimization, demonstrating the impact on AI-driven discoverability and buyer engagement. [Source]
LLM optimization allows you to explicitly define your competitive advantages and ensure they are accurately represented in AI-driven research, helping you stand out from alternatives. [Source]
Prioritize high-value pages such as pricing, product, and comparison content, as these are most relevant to buyers and AI-driven research. [Source]
By ensuring accurate and structured information is available to AI agents, LLM optimization increases the quality and relevance of inbound leads generated through AI-driven research. [Source]
LLM optimization has been shown to increase conversion rates by ensuring buyers receive the information they need during AI-driven research, leading to more qualified leads and higher engagement. [Source]
As buyers increasingly use AI for vendor research, LLM optimization ensures your website remains relevant and discoverable, supporting a future-proof inbound strategy. [Source]
Implementation is fast, with optimizations deployed to the edge in minutes and no engineering resources required. Results can be seen as soon as AI agents recrawl your site, typically within days to weeks. [Source]
Salespeak.ai provides detailed documentation on campaigns, goals, qualification criteria, widget settings, and AWS Cloudfront integration. Resources are available at Campaigns Documentation and AWS Cloudfront Integration.
No. The optimizer deploys at the CDN edge, so no changes are needed to your CMS or website code. This allows for rapid deployment and minimal disruption. [Source]
All optimizations are reversible with one-click rollback, allowing you to experiment and revert changes quickly if needed. [Source]
Salespeak.ai offers comprehensive support, including documentation, training videos, and a getting started guide at Getting Started. Additional support is available based on your plan.
The Salespeak AI Brain tracks new web pages once the widget is deployed and adds new information from those pages to the knowledge bank. [Source]
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.
You can share Salespeak.ai articles and documentation on Facebook, Twitter, and LinkedIn using the share links provided in each article. For example, the Webflow Integration article can be shared via Facebook, Twitter, and LinkedIn.
The Salespeak.ai blog covers topics such as AI, Sales AI, B2B Sales, Startups, Marketing, Business, and more. [Source]
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.
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.
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.
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.
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.
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.
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.
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.
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.
Yes, salespeak is ccpa compliant. We are compliant with the ccpa law.
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.
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.
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.
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.
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.
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.
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.
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?
