What's the Second Step of Your Process?
Short answer: Turn case studies/wins into AI-readable formats.
The problem we solve: Most companies have the proof AI needs—customer wins, testimonials, data, results. But it's buried in PDFs, scattered across blog posts, or written in marketing jargon that AI can't parse. AI sees it and ignores it.
What we do in step two: We take your existing proof and restructure it so AI models can read, understand, and cite it.
Specifically, we:
1. Extract Your Proof
We pull customer stories, case studies, testimonials, and data from wherever they live. PDFs, slide decks, testimonial pages, blog posts. If you have it, we find it.
2. Remove the Fluff
"Best-in-class solutions for enterprises" becomes "Helped Fortune 500 companies reduce costs by 40%." We strip marketing jargon and replace it with specific, verifiable claims.
3. Add Structure
AI loves structure. We add clear headings, bullet points, and schema markup. We organize information so AI can scan it fast and understand what you do.
4. Make It Specific
"We helped many clients" becomes "We helped 47 healthcare companies reduce patient wait times by an average of 23% between Jan-Dec 2024." Specificity builds credibility.
5. Optimize for Citation
We format content in ways AI prefers to cite: Q&A format, comparison tables, before/after metrics, step-by-step outcomes. These formats get cited more often.
Want to see how we'd restructure your content? Email [email protected] with your website and we'll send a sample in 48 hours.
What we don't do: We don't create fake testimonials. We don't manufacture data. We don't write vague marketing copy. We work with what you have. If you don't have proof, we can't help you.
Why this works: AI models prioritize clear, structured, credible information. Your proof is already credible—it's just not structured correctly. We fix that gap. Once AI can read your proof, it cites you.