Services
When AI Recommends a Business,
Make Sure It's Yours.
ChatGPT, Perplexity, Gemini, and Claude are answering buying questions every day. When they recommend your competitor instead of you, that's a lead you'll never know you lost. AI discoverability is about making sure these systems can find you, understand you, and confidently recommend you.
Why This Matters
AI systems decide who to recommend based on three things: trained knowledge (what's already in their data), grounded refinement (what they find via web search), and precision signals (structured data on your site). Most businesses have some presence in the first two but almost nothing in the third. That's the gap -- and it's the one you can control.
What I Do
- ›AI crawler directives in robots.txt (GPTBot, ClaudeBot, PerplexityBot)
- ›llms.txt implementation -- a plain-text summary for AI systems
- ›Entity clarity and disambiguation across your web presence
- ›FAQ content structured specifically for AI extraction
- ›Comparison and recommendation-friendly content creation
- ›Schema markup optimized for AI interpretation
- ›AI citation monitoring -- tracking how AI systems describe you
- ›Ongoing optimization based on observed AI behavior
What limited AI discoverability costs
- —AI assistants recommend competitors by name while your business stays invisible in conversational search
- —Potential customers asking AI for recommendations in your industry get sent elsewhere
- —Your strongest credentials (reviews, history, expertise) aren't communicated in the format AI systems prefer
- —As AI-assisted search grows, the gap between visible and invisible businesses widens
What improves with AI discoverability
- ›AI systems cite and recommend your business by name in relevant queries
- ›Your expertise, credentials, and offerings are accurately represented in AI-generated answers
- ›New discovery channel that compounds alongside traditional SEO
- ›Future-proofed visibility as search continues shifting toward AI-assisted results
Common Questions
Can I do AI discoverability without SEO?
Not effectively. AI systems rely heavily on the same signals search engines use -- authority, content quality, structured data, and technical health. AI discoverability is Layer 5 in my approach. Layers 1 through 4 need to be solid first.
How do AI systems decide who to recommend?
Through a combination of trained knowledge (what's in their training data), grounded refinement (real-time web searches for supporting evidence), and precision signals (structured data on your site). You can influence all three.
How do you track AI recommendations?
I regularly query major AI systems with the same questions your customers ask. I track whether you're mentioned, how accurately you're described, and how you compare to competitors. This informs ongoing optimization.
Ready to Start?
I'll analyze your site, show you where the gaps are, and give you a clear plan to close them.
Get Your Audit & Proposal