Spam is the main pain of public Telegram chats. As soon as a group grows and shows up in search, promotional blasts, scams and bots start pouring in. One good anti-spam bot saves hours of manual moderation — but only if you understand how it works and how to set it up.
Types of spam
To defend yourself, it helps to know the enemy:
- Promotional blasts — links to third-party channels, products and services.
- Scam and phishing — "giveaways", fake support bots, harvesting codes and seed phrases.
- Flood and emoji spam — junk messages clogging the chat.
- Entry spam — bots joining in batches to later DM your members.
Each type needs its own layer of protection — so a single filter isn't enough.
Layered protection
Reliable protection isn't one filter but a chain of layers, each stopping its own threat:
1. Entry. Verification/CAPTCHA stops bots before they start posting.
2. Messages. Filters by words, links and — crucially — by meaning.
3. Behavior. Anti-flood (rate limiting) and analysis of new-account patterns.
4. Response. A clear ladder of sanctions: warning → mute → ban, with logs and notifications.
The weak link is usually the second layer: bots that filter only by words let reworded spam through.
A review of anti-spam solutions
Shieldy — entry CAPTCHA only, doesn't filter messages. Combot — anti-spam and logs, some paid. Rose — powerful command-based filters, but no entry CAPTCHA. Mod Assistant Bot — layered protection with semantic analysis, CAPTCHA and flexible lists.
| Bot | Words | Links | Meaning | CAPTCHA |
|---|---|---|---|---|
| Shieldy | ✗ | ✗ | ✗ | ✓ |
| Combot | Partial | ✓ | ✗ | ✓ |
| Rose | ✓ | ✓ | ✗ | ✗ |
| Mod Assistant Bot | ✓ | ✓ | ✓ | ✓ |
How to set up protection, step by step
1. Enable entry verification — it stops most bots immediately.
2. Restrict new members — block links and forwards for the first hours.
3. Turn on filters — words, links and semantic analysis of suspicious messages.
4. Set up anti-flood — a message rate limit.
5. Define sanctions and notifications — so members understand the rules and you see logs.
Why Mod Assistant Bot
The key difference is the semantic layer. While other bots catch spam by words, Mod Assistant Bot analyzes the meaning of a message and behavior, so it removes reworded spam and scams before members even see them. Combined with entry verification and flexible lists, this covers almost the entire threat spectrum — and it's all configured in a web dashboard. How to set up anti-spam.
Takeaway
The best anti-spam isn't one filter but layered protection with semantic analysis. Start with verification and basic filters, add the semantic layer — and your chat stays clean without round-the-clock manual work.