Why Most Companies Score Below 20% on AI Visibility
After auditing dozens of brands, the same gaps appear every time. Here's what's going wrong and the fix order that matters.
Mia Cheraghian, PhD
Founder, Miaren AI · Researcher · AI visibility methodology creator
The audit results are consistent
After auditing dozens of brands across industries, from B2B tech to hospitality to professional services. The same gaps appear almost every time. Most companies score below 20% on our AI Visibility Score. The problems aren't random. They're systematic.
Gap #1: Entity inconsistency
The single most common failure. Brand name spelled differently on LinkedIn vs. the website. Description on Crunchbase that doesn't match Google Business Profile. Product names that vary across platforms. AI engines lose confidence when they can't confirm basic facts about your brand from multiple sources.
Gap #2: Zero structured data
The vast majority of websites we've analyzed have no Schema.org markup at all. Without it, AI engines must infer what your content is about from unstructured text. With it, they can directly parse your brand information, products, FAQs, and expertise. This is often the single highest-impact change.
Gap #3: No third-party validation
If the only source saying your brand is great is your own website, AI engines aren't convinced. Earned media, review site presence, expert citations, and backlinks from high-authority domains all serve as trust signals. This is the hardest gap to close but has the biggest compounding impact.
The fix order matters
Entity consistency first (2-4 week impact). Structured data second (4-8 week impact). Content restructuring third (ongoing). Authority building fourth (3-6 month play). This is exactly the prioritization the AI Visibility Audit delivers: highest-impact, lowest-effort fixes first, building toward long-term advantage.
Mia Cheraghian, PhD
Founder of Miaren AI · PhD Researcher · Creator of the AI visibility methodology
Mia is a PhD researcher studying how AI reshapes discovery for underserved communities. She founded Miaren AI to help businesses become visible, citable, and recommendable in AI-powered search engines.