When AI recommends a creator, is it one of yours?
We ask ChatGPT, Gemini, Claude and Perplexity the questions your audience asks, again and again, and record every answer. You see how often they name your creators, next to your rivals'. The first page says it in plain words, and every real answer sits behind the numbers.
People type “best YouTube channels for investing beginners” into ChatGPT, not only into YouTube.
Reach and engagement get reported every month. Nobody measures whether AI recommends those same creators.
AI answers change from one run to the next. You need a measured sample, repeated every month.
Three steps to your first report.
Your topics, your creators and your rivals. Rivals are the creators you compete with, or the ones your competitors back.
The real questions people ask on those topics, from memory and with web search. We ask for YouTube, TikTok and Instagram creators, and with no platform named.
Page one is the answer in plain words. Behind it are a page for every topic and a page for every creator, with the real AI answers behind each number.
Seven things every report shows.
Shown here with a test brand, Ledgerly, and made-up creators and figures.
The answer, in plain words
Page one reads like a briefing, not a dashboard. Where your creators stand, who is ahead of them, and what is going wrong, in three sentences.
Your creators vs your rivals
Everyone on your two lists, ranked by how often each assistant names them, with a likely range. When two ranges overlap, the report says it's too close to call.
Topics you own, and topics you've lost
How often AI names each of your creators on each topic, and who holds No. 1 instead. Often it's a name on neither of your lists.
Where and how AI names them
AI may name a creator for YouTube questions and ignore them on TikTok. When it gives a handle or a link, we check it goes to the right account.
Every creator, one page
How often each creator is named and named first, broken down by assistant, topic and platform. Hand it to the creator, or take it to your next renewal.
The proof: real AI answers
Every number opens onto the answers behind it: the question, the assistant, the mode, and your creator's name in the reply.
Your rival's playbook
The pages AI reads when it names your rival's creators: press lists, directories, their own site. This is where their recommendation comes from.
Then every month: what changed.
The first report sets the baseline. Each later report shows who moved, on which topic, and in which assistant.
The same report, for your clients.
Run a Baseline Audit for a client or a prospect. It works as a pitch, and the monthly reports show the roster you built is being recommended.
Show brands which of your creators AI actually recommends on their topics.
One report per brand.
Start with a baseline. Then track it monthly.
“Deep” means more questions per topic, which gives tighter ranges.
Book a Baseline Audit
Tell us your topics and we will come back with what the first report would cover: the questions, the assistants and the creators on your two lists.
We reply within two working days.