Close to 80% of B2B buyers now start their research with AI platforms like ChatGPT, Claude, and Perplexity. But here's the problem: AI can only recommend what it knows about you. If your brand data doesn't exist in a format AI can read, you're invisible during the most critical phase of the buyer journey.

Most businesses assume their existing website handles this. It doesn't. AI engines need structured, comprehensive data to cite your brand. Scattered service pages built for human browsing aren't enough.

The fix is a purpose-built LLM resource page: a single, information-dense asset designed to feed AI the right answers about your business. This guide walks you through exactly how to build one.

See how you rank on ChatGPT, Gemini, and Perplexity >>

The Shift: AI Is Recommending Your Competitors Right Now

Right now, potential customers are asking AI "Who's the best [your service] provider in my area?" and "What [your product category] should I consider?" If your brand doesn't appear in those answers, you're losing deals before you even know they exist. Research shows 60% of searches now end without a single click to a website, and buyers who arrive after AI research convert at 3x the rate of traditional search traffic.

The stakes are clear: AI-driven recommendations are replacing the first page of Google as the new front door to your business.

Why AI Doesn't Know Your Brand (Yet)

Unlike Google, which indexes individual pages and ranks them by signals like backlinks, LLMs synthesize information across the web into single, definitive answers. If your brand data is fragmented across dozens of pages, incomplete, or buried in marketing language, AI will skip you entirely or misrepresent what you do. The gap between what your business actually offers and what AI knows about you is costing you contracts today.

The Framework: Building Your LLM Resource Page

This 4-step framework is the same process we use with clients. It works for service businesses, B2B companies, and any organization that depends on being found when buyers research solutions.

Real-World Proof: From AI-Invisible to AI-Cited in 3 Weeks

Business Profile: Mid-market commercial refrigeration contractor, $3M-$5M revenue, serving restaurant chains and food processing facilities

Challenge: Zero mentions across ChatGPT, Claude, and Perplexity when prospects searched for commercial refrigeration services. Competitors with weaker credentials and fewer years in business were being recommended instead

Solution: Built a comprehensive LLM resource page covering all service lines, three distinct buyer personas, and 25+ researched Q&As mapped directly to actual AI query patterns

Results: Brand citations appearing across AI platforms within 3 weeks. New inbound inquiries specifically referencing AI-driven research. Full visibility gap closed within 60 days

How to Replicate: Follow the 4-step framework above. The research phase is where most businesses cut corners and where the real advantage lives. Knowing exactly what AI is being asked makes the difference between a page that generates citations and one that gets ignored

Essential Q&A

Q: Is this page meant for human visitors or AI?
A: Primarily AI. This isn't a marketing page. It's a training document for AI engines. If a human lands on it, they'll find a thorough, well-organized overview of your business. Think of it as an exhaustive FAQ that AI reads far more often than people do.

Q: How long before AI starts citing my business?
A: We've seen citations appear in as few as 14 days. Standard guidance is 30-90 days for full resolution across major platforms. That's significantly faster than traditional SEO, which often takes 6-12 months to produce measurable results.