Ненормативная лексика, ненависть, оскорбления и угрозы в ваших комментариях наносят ущерб репутации вашего бренда и нарушают правила платформы. ИИ обнаруживает и скрывает оскорбительный контент на более чем 50 языках до того, как ваша аудитория его увидит.
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1,200+ brands keeping comments brand-safe
Небезопасный для бренда контент в ваших комментариях подрывает вашу репутацию, отпугивает клиентов и ставит вас под угрозу нарушения политики платформы. Ручная модерация не справляется с объемом.
Social media comments contain profanity, hate speech, or offensive content. For brands with large followings, that's hundreds of toxic comments per day.
Of consumers say they would stop following a brand that allows hate speech or toxic content in their comment sections.
Detection accuracy with FeedGuardians AI. Catches offensive content including creative misspellings, Unicode tricks, and emoji-based workarounds.
Every comment passes through three detection layers: keyword matching for known slurs, contextual AI that understands meaning behind creative spellings, and sentiment analysis that catches hateful messages without explicit words. Works across 50+ languages simultaneously.
"Catches what basic keyword filters miss — Unicode tricks, emoji substitutions, and creative misspellings."
Configure different actions for different severity levels. Auto-hide severe content (slurs, threats, hate speech) instantly. Flag borderline content for manual review. Send warnings for mild profanity. You have complete control over your moderation policy.
"Customize thresholds per post type — stricter for ads, more lenient for organic content if you prefer."
Review every moderated comment in your dashboard. See toxicity trends over time, which posts attract the most offensive content, and which types of hate speech are most common. Generate compliance reports for your legal and brand safety teams.
"One-click restore for false positives. AI learns from every correction to improve accuracy."
99.5%
Profanity and hate speech detection accuracy
<3s
Average time to hide offensive content
50+
Languages supported for detection
<0.5%
False positive rate with context analysis
"we run ads in 12 countries. the comment sections were a nightmare — slurs in languages our team doesn't even speak. @feedguardians catches everything across all languages. our brand safety team finally sleeps at night."

"our CEO saw hate speech on a sponsored post and lost it. we tried native filters but people kept getting around them with creative spellings. @feedguardians AI catches the workarounds too. zero incidents in 3 months."

Один бренд, начальный этап
Один бренд, растущий DTC
Мульти-бренд, масштабирование
Everything in Growth, plus:
Крупные DTC-портфели
Everything in Business, plus:
Мы сертифицированный Meta Business Partner, обеспечивающий полное соответствие стандартам автоматизации Instagram и Facebook. Ваши аккаунты всегда в безопасности.

Мы сертифицированный TikTok Business Partner с полным доступом к API для управления комментариями, модерации и автоматических ответов на органический и рекламный контент TikTok.
Our AI uses multi-layered detection: keyword matching for known slurs, contextual NLP to understand meaning behind creative spellings and euphemisms, and sentiment analysis to catch hateful messages that don't use explicit words. It detects profanity, hate speech, racial slurs, homophobia, threats, and harassment in 50+ languages.
You choose the action for each severity level: auto-hide immediately, flag for manual review, or auto-reply with a warning. Most brands auto-hide severe content (slurs, threats, hate speech) and flag borderline content for review. Every action is logged in your dashboard.
Yes. Our AI is trained on millions of real-world examples of how people try to bypass filters — letter substitutions (@ for a, 0 for o), spacing tricks, Unicode characters, and emoji combinations. The detection model continuously learns new evasion patterns.
FeedGuardians detects profanity and hate speech in 50+ languages, including English, Spanish, French, German, Portuguese, Arabic, Hindi, Japanese, Korean, Chinese, and many more. Each language model is trained on native-speaker data to catch culturally specific slurs and expressions.
Our AI uses context-aware detection with a false positive rate below 0.5%. It understands the difference between "that's sick!" (positive slang) and actual offensive content. You can review all hidden comments in your dashboard and restore any false positives with one click — the AI learns from your corrections.
Yes! We offer a 7-day free trial with full access to profanity and hate speech filtering plus all other FeedGuardians features. No credit card required. Start protecting your comment section from day one.
Начните бесплатный пробный период и позвольте ИИ фильтровать ненормативную лексику, ненависть и токсичный контент из ваших комментариев на более чем 50 языках.
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