AI Brand Mention Monitoring System Development

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Brand Mention Monitoring System Development
Medium
~1-2 weeks
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Developing AI Brand Mention Monitoring System

Brand Monitoring tracks what people say about your brand online in real-time. Negative review in major community, media mention, crisis wave in social media — system detects first.

Monitoring Sources

  • Social networks: VK, Telegram, Instagram, OK
  • Review sites: Yandex Market, Google Maps, local directories, Flamp, IRecommend, Otzovik
  • News aggregators: Yandex.News, Google News, media monitoring services
  • Forums and communities: Reddit, Pikabu, industry forums
  • Video: YouTube (captions + descriptions), TikTok
  • Marketplaces: Wildberries, Ozon (product reviews)

Technical Architecture

class BrandMonitor:
    def __init__(self, brand_names: list[str], variations: list[str]):
        self.search_terms = self.build_search_terms(brand_names, variations)
        # brand_names: ["Company X", "CompanyX"]
        # variations: ["Company Ikс", "CompanyX", "@company_x"]

    async def process_mention(self, mention: RawMention) -> ProcessedMention:
        return ProcessedMention(
            text=mention.text,
            source=mention.source,
            url=mention.url,
            author=mention.author,
            timestamp=mention.timestamp,
            reach=mention.estimated_reach,  # publication reach

            # AI processing
            sentiment=await self.analyze_sentiment(mention.text),
            topics=await self.extract_topics(mention.text),
            entities=await self.extract_entities(mention.text),
            is_complaint=await self.detect_complaint(mention.text),
            requires_response=await self.assess_response_need(mention),
            priority=self.calculate_priority(mention),
        )

Mention Prioritization

Not all mentions require response. Priority determined by:

  • Reach: publication reach (followers, views)
  • Sentiment: negative more important than neutral
  • Author authority: journalist, influencer with audience, KOL
  • Viral potential: engagement rate indicates virality
  • Platform: major media > personal post

P1 (respond < 2 hours): major media, viral negative. P2 (< 24 hours): typical negative reviews. P3 (< 72 hours): neutral mentions, positive.

Response Management

AI-generation of response templates for typical situations. Operator selects template, adapts and publishes — from single interface without platform switching.

Dashboard: sentiment dynamics over time, share of voice vs competitors, top sources, topic trends. Export weekly report for marketing director.