Intent Detection
Intent detection reads every comment and message for what the person wants: information, to buy, an action from you, or to complain. Rypl labels each one with an intent and a sentiment, on every plan, with nothing to set up.
What you see
Each comment in the inbox shows its intent label when it carries one:
Question · Purchase · Request · Complaint · Feedback · Sharing · Spam · User-to-user
Comments labelled Other (greetings, a lone emoji) don’t get a badge. Every label is defined, with examples, in Supported Intents.
Sentiment is Positive, Neutral or Negative.
What it drives
| Intent | What Rypl does by default |
|---|---|
| Question, Purchase, Request | The agent answers |
| Complaint | Goes to Needs attention for a person |
| Spam | Hidden automatically |
| Feedback (positive) | Answered with a thank-you reply if you turn those on (Pro and Ultra) |
| Sharing, User-to-user, Other | Left alone unless a reply rule says otherwise |
Using intent in reply rules (Pro and Ultra)
Reply rules use intent (shown as Type) and sentiment as conditions:
- Type: Feedback · Sentiment: Positive → My text: “Thanks for the love! 💜”
- Type: User-to-user → Don’t reply
- Type: Complaint → AI replies, with instructions to apologise and give a next step
Using intent to improve your ads
- Many questions about the same thing (sizes, shipping) mean the ad or landing page leaves it out.
- Many complaints on one ad often point to a promise the product doesn’t keep.
- Mostly spam on one ad suggests turning on the Strict Spam & Media Filter for that channel.
Next Steps
More on rypl.is
- How to detect buying intent in ad comments: the questions that signal a buyer
- Ad comment statistics 2026: what people write under ads, RYPL data for Q3 2026
- Ad comment glossary: dark posts, hidden comments, Moderation Assist and other terms
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