Every question changed this edition. The previous editions asked a set we wrote for the category; this one asks questions derived from what buyers actually searched or posted, so a month-over-month figure would compare two different questions and read as movement. Comparison returns next edition, when there are two mined runs to set against each other.
The same question asked for each kind of buyer
Share of answers naming the brand
BRANDS
SMBShare of answers naming this brand when the question is asked at this company sizeSolo / small business
Agency / professional designerShare of answers naming this brand when the question is asked at this company size
SPREADThe gap between the highest and lowest column in this row, in percentage points
The engines that name a brand least and most often, and the gap between them
BRANDS
LOWEST ENGINEThe engine that names this brand least often, and its share
HIGHEST ENGINEThe engine that names this brand most often, and its share
SPREADThe gap between the highest and lowest column in this row, in percentage points
The sites the engines linked to when they answered
SOURCES
REACHShare of all answers that cited this source at least once% of all answers
LINKSEvery link to this source, counted across all answerstotal
DEPTHLinks to this source per answer that cited itlinks/answer
We write a fixed set of category questions, none of which names a brand, and count how often each brand comes up. A brand is present in an answer only when one of its names literally appears in the text, because a string match cannot hallucinate.
Every question starts from one somebody already asked. Some come from search demand, where the figure is how many people typed that phrasing in a month. The rest come from a public forum post, and we link to the page it was written on. We rewrite each one into a plain question, because a search string is a fragment and a forum post is written the way people type, and neither is a fair thing to ask an engine. We change the wording and never the subject, and the original is published beside every question we disclose. The set is frozen before a single answer is collected, so every engine and every edition is asked exactly the same thing.
Chosen to span both where the questions come from and how they are shaped, so the sample describes the battery rather than one corner of it. That is 25% of the questions the ranking comes from.
A published battery invites brands to write pages against the exact wording, at which point a score moves without the brand’s actual standing moving and the measurement stops describing anything. Benchmark suites keep a held-out set for the same reason. The method is public so it can be judged, a quarter of the questions are public so it can be checked, and the rest stays private so the numbers stay worth checking.
We run real buyer prompts from your category through your audience's most-used AI assistant. The answers come back as a dashboard built for your company.
Your dashboard will include:




Overview: your visibility, and how strongly AI recommends you
Your dashboard has been queued for creation by our team. If we need anything from you first, we will ask via email.