We help your brand get found and cited by AI.

AI search optimization is the practice of making your brand visible and recommended by AI-powered search engines like ChatGPT, Perplexity, Google AI Overview, and Claude. Unlike traditional SEO that focuses on ranking in search results, AI search optimization ensures your brand gets cited and recommended when users ask AI assistants for solutions in your category. This is critical because AI search is rapidly replacing traditional search, with over 40% of searches now happening through AI interfaces.

Traditional SEO focuses on ranking your website in a list of search results. AI search optimization focuses on getting your brand recommended directly in AI-generated answers. When someone asks ChatGPT or Perplexity for a solution, they get 1-3 recommendations, not 10 blue links. If your brand is not in those recommendations, you are invisible. AI search also considers different signals: citation-worthiness, structured data comprehension, and authority markers that AI models can parse and trust.

We track and optimize for 7+ major AI search platforms: ChatGPT (OpenAI), Perplexity, Google AI Overview, Claude (Anthropic), Gemini (Google), Microsoft Copilot, and emerging AI search engines. Each platform has different crawling behaviors, citation preferences, and ranking signals. Our multi-model approach ensures your brand is visible across all major AI platforms, not just one.

Most clients see measurable improvements in AI visibility within 30-45 days. Initial technical optimizations (robots.txt, structured data, llms.txt) can show impact within 2-3 weeks as AI crawlers re-index your site. Strategic content and authority-building campaigns typically show full results within 60-90 days. We provide weekly progress tracking so you can see exactly how your visibility is improving across each AI platform.

The AI Brand Audit is a comprehensive analysis of your current AI search visibility. We test 50+ category-relevant queries across 7 AI platforms, measure your citation frequency and context, analyze competitor share-of-voice, identify technical gaps in your AI crawlability, and provide a detailed executive report with specific recommendations. The audit also includes a 60-minute strategy session to review findings and prioritize next steps.

We track three primary metrics: Citation Frequency (how often your brand appears in AI-generated answers), Citation Context (whether you are recommended as a top solution or mentioned as an alternative), and Qualified Lead Attribution (leads that specifically mention finding you through AI search). We provide a monthly dashboard showing your visibility score across each AI platform, competitive benchmarking, and trend analysis. Our average client sees an 83% increase in citation frequency within 90 days.

llms.txt is a standardized file that provides AI-specific instructions to language models crawling your site. Similar to robots.txt for traditional search engines, llms.txt tells AI models what content to prioritize, how to interpret your offerings, and what context to use when citing your brand. Implementing llms.txt correctly can dramatically improve how AI models understand and recommend your business. We implement and optimize llms.txt as part of our technical optimization phase.

We cannot guarantee specific rankings because AI models use proprietary algorithms that change frequently. However, we do guarantee measurable improvement in your AI visibility metrics. Our methodology is based on documented AI crawling behaviors, citation patterns, and technical requirements published by OpenAI, Anthropic, and Google. 94% of our clients achieve significant visibility improvements within 90 days. We provide full transparency into what we measure and how we optimize.

Most clients need some technical optimizations (structured data, metadata, crawl directives) but rarely need to rebuild their website. We work with your existing content and architecture, making strategic enhancements rather than wholesale changes. Our approach is to maximize AI-crawlability and citation-worthiness of what you already have, then layer in targeted content where gaps exist. All changes are documented and explained before implementation.

B2B SaaS, enterprise software, professional services, fintech, healthcare technology, and any business where buyers research solutions before purchasing benefit significantly. AI search is particularly powerful for complex, high-consideration purchases where buyers ask detailed questions. If your customers currently use Google to research solutions, they are increasingly using ChatGPT and Perplexity instead. Early adopters in AI search optimization gain significant competitive advantage as this shift accelerates.

Our programs are customized based on your current visibility, competitive landscape, and goals. The AI Brand Audit starts at $4,500. Full optimization programs (audit + technical optimization + ongoing campaigns) typically range from $8,500 to $25,000 per month depending on scope. We recommend starting with the audit to understand your specific opportunity, then building a program that fits your budget and timeline. Book a strategy call to discuss pricing for your situation.

Your competitors who invest in AI search optimization will become the default recommendations when your potential customers ask AI assistants for solutions. You will lose visibility as traditional search traffic declines and AI search grows. By 2025, analysts predict 50%+ of search queries will happen through AI interfaces. Businesses that are invisible in AI search will see declining inbound leads, longer sales cycles, and higher customer acquisition costs. The window to establish AI search authority in your category is closing rapidly.