Our Process
A Systematic Approach to AI Visibility
No guesswork, no shortcuts — proven infrastructure engineering that compounds. Our 4-step methodology ensures your site becomes discoverable, cited, and trusted by AI.
Audit AI Visibility
We analyze how AI systems currently see your site, identifying crawl issues, structural gaps, and opportunities for improvement.
What's Included
- Crawl your site as major LLMs see it
- Identify technical barriers to AI discovery
- Benchmark against competitors
- Map content gaps and opportunities
Engineer Structure
Build LLM-compatible architecture with schema markup, semantic HTML, and technical foundations AI can parse.
What's Included
- Implement structured data (JSON-LD)
- Optimize semantic HTML structure
- Configure robots.txt for AI crawlers
- Set up proper metadata hierarchy
Optimize Content
Restructure content for AI comprehension, making your expertise quotable by language models.
What's Included
- Restructure content for AI readability
- Create citation-worthy snippets
- Build topical authority clusters
- Optimize for question-answer formats
Measure & Iterate
Track with AI-specific metrics and continuously improve to compound your technical authority.
What's Included
- Monitor AI citation frequency
- Track visibility across LLM platforms
- Measure referral traffic from AI
- Continuous optimization cycles
What to Expect
Audit & Strategy
Implementation
Optimization
Ready to Get Started?
The first step is understanding where you stand. Get a comprehensive audit of your current AI visibility and a roadmap to improvement.
Request Your Free Audit