Service
AI Search Visibility & LLM Optimization
When your buyers ask ChatGPT or Perplexity for recommendations, does your product show up? If not, you are losing deals to competitors who understand how AI search works.
The Problem
Most companies are invisible to AI search. When prospects ask ChatGPT, Perplexity, or Claude for recommendations, most products never appear. Whether you sell SaaS, professional services, or enterprise solutions, companies that optimized for Google in 2015 are losing ground to competitors who understand how LLMs surface recommendations. Traditional SEO alone is no longer enough. AI models don't rank ten blue links. They synthesize a single answer, and if your brand isn't part of that answer, you don't exist.
The Solution
My team audits your AI search presence, builds content strategies that LLMs actually reference, implements structured data they can parse, seeds authoritative mentions across credible sources, and monitors your visibility across every major AI platform. This isn't theoretical. It's built on a computer science foundation and real data about how these models retrieve and cite information.
Investment
Typical engagements range from $3,000 to $8,000/month depending on the number of products, competitive landscape, and scope of content production. This is a fraction of what you lose in pipeline when buyers never hear your name from the AI tools they are already using.
Every engagement starts with a free discovery call. No commitment, no pitch deck, just a real conversation about whether this is the right fit.
Frequently Asked Questions
What is AI search optimization?
AI search optimization (also called LLM optimization or generative engine optimization) is the practice of making your brand and product visible to AI-powered search tools like ChatGPT, Perplexity, Claude, and Gemini. When users ask these tools for software recommendations, the AI pulls from training data, web sources, and structured information to generate answers. AI search optimization ensures your company shows up in those answers.
How does LLM optimization differ from SEO?
Traditional SEO optimizes for link-based ranking algorithms that return a list of ten blue links. LLM optimization targets the language models that synthesize a single narrative answer. The ranking factors are different: LLMs prioritize authoritative mentions across multiple credible sources, structured data they can parse, and content patterns that match how they retrieve and cite information. You need both, but they require different strategies.
How long before I see results?
Initial visibility improvements typically appear within 60 to 90 days as new content indexes and AI models refresh their knowledge. Significant, consistent citation in AI search results usually takes 4 to 6 months of sustained effort. Unlike traditional SEO where you can track daily ranking changes, LLM visibility builds more gradually as your brand authority compounds across sources.
Which AI search engines do you optimize for?
We monitor and optimize for ChatGPT (with browsing), Perplexity, Claude, Gemini, and Microsoft Copilot. Each model has different retrieval patterns and data sources, so the strategy is tailored per platform. Monthly reports break down your visibility across all of them so you can see exactly where you are appearing and where gaps remain.