How do I find out how a product is talked about on YouTube with AI?
Connect SocialToAI to your AI client over MCP, then ask in plain words. In this recorded run an AI client answered “How is the Kindle talked about on YouTube this month?” with 1 request on YouTube: 39 items read in 8.1 seconds for 16 credits ($0.053). Below are the calls it made, the answer with its sources, and the prompt and API calls to run it yourself. Recorded 2026-10-18.
The question
How is the Kindle talked about on YouTube this month?
A product has dozens of new videos a month, and their titles alone do not say whether a video praises it, compares it or warns against it. Sorting them means opening each one. Reading what this run returned by hand takes about 2 minutes (383 words at 240 a minute).
What the AI did
It chose the tools itself: 1 request on YouTube. Each row is one tool call as the client showed it, with what it sent, how much came back and what it cost.
| Platform | Tool | Sent | Requests | Returned | Credits |
|---|---|---|---|---|---|
| YouTube | brand_buzz | brand: "Kindle" · about: "Amazon's e-reader" · platforms: ["youtube"] · window: "30d" · scale: "small" | 1 | 39 videos | 16 |
| Total | 1 | 39 items | 16 | ||
The answer
What the client answered, from what it had read. The line under each finding is a post it read, or a figure from those posts.
39 of the 39 posts found are about it: 28% positive, 46% neutral, 26% negative. What they mention most:
- Comparison with others41%“I Tried Every New Kindle: Here Is The One You Should Buy”16 videos
- Design15%“This Is What Colour E-Ink Should Look Like”6 videos
- Price10%“New Kindle Prices”4 videos
The posts it rests on
A selection of what was read; the marked words are what a finding rests on. An item without a link says so.
- YouTube · videoFinding 1
I Tried Every New Kindle: Here Is The One You Should Buy
Open the source - YouTube · videoFinding 2
This Is What Colour E-Ink Should Look Like
Open the source - YouTube · videoFinding 3
The DRAMA Never Ends 🚨 | Authors WALKING Out Of Rare, New Kindle Prices & An AI Podcast 😱
Open the source
What it cost
1 request, 16 credits in total: $0.053 at the $10 rate. Every answer of the API states the credits it charged and the balance left, so your AI can tell you what a question cost. A call that fails costs nothing.
| Pack | Credits per dollar | This answer |
|---|---|---|
| $10 = 3,000 credits | 300 | $0.053 |
| $50 = 20,000 credits | 400 | $0.04 |
| $200 = 100,000 credits | 500 | $0.032 |
Ask it yourself
Connect SocialToAI to your AI client once (the steps for each client), then paste the question. You do not name tools or parameters: the client picks them.
How is the Kindle talked about on YouTube this month?The same in code: the calls this run made, as requests to the API.
curl https://api.socialtoai.com/v1/tools/brand_buzz \ -H "Authorization: Bearer $SOCIALTOAI_KEY" \ -H "Content-Type: application/json" \ -d '{ "brand": "Kindle", "about": "Amazon's e-reader", "platforms": ["youtube"], "window": "30d", "scale": "small" }'What to try next
- Ask next: “What do the negative posts say?”
- Ask next: “Compare it with a competitor”
- Ask which videos compare it with a competitor, with links.
- Ask it to read the comments under the top review.
- Run it as one request with the ready-made tool Brand buzz: What people say about a brand or product on each platform: the share of each attitude, what is mentioned most, and the posts with the most engagement, each with its source link.
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