What the AI assistants are telling buyers

The questions we asked

Every prompt was put to each assistant with live web search on, repeated multiple times to smooth variation. These are real buyer-intent questions, grouped by intent.

AI Visibility Quality Score

A single 0-100 measure of category visibility: how often a brand is named, weighted by the rank it's given in each answer. Higher = named more often and higher up. Gold = category leader.

Where each contender stands - and the opening

The leading brands, what the data says about each, and the most actionable gap to close. Read these as the starting point for a visibility strategy.

Mentioned vs. Recommended

Being named is not the same as being recommended. The light bar is how often a brand is mentioned (named in an answer); the dark bar is how often it is the active recommendation - both measured as a share of all answers, so Recommended always sits inside Mentioned. A wide gap is awareness without endorsement - the most addressable opportunity in AI search.

Results across the three LLMs

How often each brand is mentioned and recommended by each model, as a share of that model's answers. "AI visibility" is really three different audiences - a brand can own one model and be near-invisible on another.

Who wins which question

Top brands by mention rate within each type of question buyers ask. Visibility is not uniform - a brand can dominate "best gateway" yet vanish on "lowest fees."