Case Study · SitterGPT / Babysitter AI Buddy

What Happens When an Ad Starts Talking Back?

How a small Reddit test with a Babysitter AI Buddy turned a $236.70 media spend into a 72-minute, high-trust consultation and real training data for Agentic AI.

The Ad That Started It

Instead of sending people to a landing page, we turned the creative itself into a Babysitter AI Buddy. We called it SitterGPT — an AI sitter that can answer questions, calm worried parents, and even start a booking flow.

The ad ran on Reddit as a mobile-first traffic campaign with:

  • Standard click-through into the AI Buddy
  • Optional QR scan for cross-device continuation
  • A clear invitation: “See an AI-powered ad in action”

If users understood the ad, they wouldn’t just click. They would talk.


Reddit campaign performance dashboard for SitterGPT test
Reddit reporting for the test campaign — one of these 241 clicks became a 72-minute AI session.
SitterGPT Babysitter AI Buddy Reddit Ad
Here’s the exact AI-powered ad users engaged with — click or scan to experience it live.
54,405
Impressions
241
Clicks
0.443%
CTR
$0.98
CPC
72 min
Deepest session
AI Buddy Babysitter business card with QR code
The same Babysitter AI Buddy can live inside a Reddit ad, a business card, a poster, or a website widget — all pointing to one intelligent placement.

Mench unified cross-media performance dashboard
Unified Mench reporting — cross-media performance from every channel in one dashboard.

From One Ad to Broadcast Intelligence

This Babysitter AI Buddy isn’t just a single Reddit creative. The same QR and link can appear on business cards, flyers, websites, emails, and DOOH, all feeding into one unified Mench placement.

Mench.ai ingests the Reddit delivery metrics (impressions, clicks, CPC, CTR) and combines them with our own engagement data (scans, unique users, conversation depth) to restore a single language for media performance.

Cross-Media Index™ = Reach × Frequency × Engagement

Where:
Reach = unique users across all surfaces (Reddit, cards, web, QR),
Frequency = average exposures & sessions per user,
Engagement = depth of interaction (time, turns, tasks completed).

The result feels more like a TV infomercial with a return path than a banner campaign: one AI Buddy is broadcast everywhere, and Mench.ai reports on viewability, Reach & Frequency, and AI engagement in a single, cross-media metric.

Campaign Delivery: Standard Numbers, Unusual Outcome

On the surface, the campaign looks like a normal performance flight:

  • Impressions: 54,405
  • Clicks: 241
  • CTR: 0.443%
  • CPC: $0.98
  • Total Spend: $236.70

But behind one of those 241 clicks, a Reddit user in Greenwood Village, Colorado started talking to the Babysitter AI Buddy — and stayed for 72 minutes, sending 22 messages.

That single engagement became a full mini-research session, captured and analyzed entirely inside Mench.ai.

Observable AI: Every Message, Fully Inspectable

Mench.ai exposes a live User & AI Engagements view. For each interaction you can see:

  • User message and AI response
  • Placement and campaign identifiers
  • Timestamp, device, and browser
  • Geo context (city, DMA)

This makes AI behavior auditable. Performance teams, strategists, and product owners can all see what users are asking — and how the AI answers — in real time.

User and AI engagements table in Mench.ai
Engagement feed: the full 22-message conversation between the Reddit user and the Babysitter AI Buddy.

The 72-Minute Conversation With “Axel”

The user treated the Babysitter AI Buddy as a real sitter consultant. Over the course of the session they described a four-year-old named Axel, his routines, worries, and quirks, and kept coming back after trying the AI’s suggestions in real time.

Emotional Triage

The first question wasn’t casual:

“He is just sitting in the stairs, silent and staring at me. What do I do?”

Play, Potty & “Is This Normal?”

From ball games and a stuffed carrot to questions about peeing in the yard while making eye contact, the user explored the limbo zone every parent knows: is this normal?

Safety, Collars & Hiking

The conversation moved into daycare collar rules, GPS tracking on hikes, and whether a pronged collar might actually be a shock collar — a perfect example of nuanced safety and ethics inside a simple ad click.

Identity & Trust

At one point, the AI generalized Axel as a “pet.” The user pushed back:

“Why are you talking about pets? I’m talking directly about Axel.”

That single line became a labeled training signal in Mench.ai — helping our FSM-based model preserve individual identity over long, branching sessions.

“Analyze with AI” — Instant Insights From Raw Dialog

Inside Mench.ai, every engagement stream has an Analyze with AI button. One click turns unstructured dialog into topic clusters, sentiment paths, and content recommendations.

For this single SitterGPT user, the system surfaced:

  • 8 topic clusters including Collars & Safety, Potty Training, Emotional Behavior
  • Suggested FAQ updates that match real questions parents actually ask
  • Prompt suggestions to guide future users into higher-value conversations
  • Sentiment trajectory from anxiety to reassurance

One Reddit user became a miniature user-research study — fully summarized automatically.

Mench analytics also compare engagement patterns across channels — Reddit, newsletters, websites, QR flows, and paid media — so brands can see which audiences stay longer, ask deeper questions, or convert into email sign-ups and purchases. No more guessing which source drives the highest-quality engagement.

Mench.ai AI analytics summary for SitterGPT engagement
“Analyze with AI” output: topic clusters, recommendations, and suggested prompts.
Bar chart of topic clusters from SitterGPT engagement
Auto-generated chart showing the relative share of each topic cluster.

How Brands Win With Cross-Media Delivery, Unified Metrics, and AI-Driven Ads

This small test already delivered more strategic value than many full-scale campaigns:

  • Authentic language straight from real customers — no survey scripting.
  • Live discovery of new FAQs, safety concerns, and edge cases.
  • Training signals for FSM-based, Agentic AI tuned to a specific business.
  • Proof that people will trust and use AI Buddies delivered as ads.

Every AI Buddy session becomes structured data — intent signals, product interest markers, friction points, and user vocabulary. Teams can export insights directly into product roadmaps, customer support updates, creative briefs, or CRM workflows, turning raw conversations into practical next steps for the business.

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