AI Self-Reporting in Chat
Written By Social Uare.ai
Last updated 2 days ago

As a Professional, you can ask your AI how it's doing, and it'll tell you. Thoughts, Services, Courses, most asked questions. Just ask.
How your AI is doing
"How many people have talked to my AI?" β "47 signed-in people across 72 conversations, plus 12 from signed-out visitors."
"How many this month?" β same breakdown, narrowed to your date range.
"Which of my posts gets the most replies?" β your posts, ranked.
Who the chatters are
Who talked to me this week?" β names, dates, and what brought them.
"How often has Ada talked to my AI?" β her whole history with you.
"Show me my conversation with Ada." β the full transcript.
How your courses are doing
"How are my courses doing?" β "AI Creativity: 14 started, 6 finished (43%), 43/60 quiz answers correct."
"Where do people drop off?" β "Lesson 3: 11 reached, 4 completed. 7 didn't get this far (64%)."
How each student is doing
"How did Ada do in my course?" β "4/4 correct, 4/4 lessons, completed."
"Who scored highest?" β ranked best first. If people attempted different amounts, it says so instead of crowning the wrong winner.
What people actually said
"Who talked to me this week?" β names, dates, source.
"What are people asking about pricing?" β real quotes.
"Show me my conversation with Ada." β the full thread.
What you already created
"Do I have a course on AI creativity?" β recognizes courses as courses, counts lessons, and flags draft vs. published vs. published-but-private, so you know exactly what your audience sees.
Where your traffic actually comes from
"What are people coming to my AI for?" β"52 general chats, 14 started from one of your posts, 6 inside a service or course."This is the one that tells you whether your posts are pulling people in or your AI is mostly answering cold questions.
"Which of my posts starts the most conversations?" β your posts ranked, with when each last drew someone in. Tells you what to write more of.
Your services, not just courses
"How are my services doing?" β"Founder Story Session β 9 people started, 3 finished (33%). AI Patent Strategy β 12 started, 8 finished (67%)."
"Where do people stop in my Founder Story Session?" β"Intake: 9 reached. Goals: 7 reached β 2 didn't get this far (22%). Draft review: 3 reached β 4 dropped (57%)."The step where you lose people is the step to fix.
"Which of my offerings do people abandon most?
" β compare the finish rates above.
What people actually say - the "how do I improve" questions
"What are people asking my AI about pricing?" β real quotes from real conversations.
"What do people ask that I don't offer?" β excerpts that reveal the gap between what you sell and what they want.
"What questions come up again and again?" β the repeated ones, in their words.
"What did people say right before they stopped?" β open the conversations that ended early and read them.
"Are people confused about anything?" β quotes, not a score.