We help companies get recommended by AI.

Yes, but invisibly. When AI tells a buyer your company is three times larger than it is, does work you stopped doing in 2023, or omits your core product line, that buyer self-qualifies out or self-qualifies wrong. You never see the meeting that never got scheduled. That is what makes AI errors costly in a way bad search rankings are not: the loss happens before you can measure it.

SEO targets search rankings. AI readiness targets AI-generated answers. Search returns ten links and lets the user decide. AI weighs your data against what it can verify, then produces a curated shortlist. We model that verification as a series of confidence gates. A page can rank first on Google and be invisible to ChatGPT.

The AI generates confident-sounding information that is factually wrong -- wrong capabilities, fabricated case studies, inaccurate pricing. This happens when your public data has gaps or contradictions and the AI fills them with plausible guesses. The fix is making your data consistent and complete enough that the AI doesn't need to guess.

AI readiness measures how often and how accurately AI systems include your company when buyers ask about your category. When a buyer asks ChatGPT for a recommendation, you either appear in the answer or you don't. If you don't, that buyer never reaches your website.

The Clarity Index is our diagnostic model, not an AI system's internal ranking. It measures how clear, consistent, and machine-readable your company information is. Eight weighted factors produce a single score. In our diagnostics, companies above 70 present information AI systems can interpret reliably; below 40, the gaps start doing the talking. A high score does not guarantee recommendation -- it removes the data-side reasons you would be skipped.