Mention Monitoring

What the service includes

We set up tracking of mentions of your brand, topic, or competitors across social media and websites, and we send you alerts the moment something important comes up. The work includes regular keyword-based mention search — company name, products, names, topics — across posts, comments, and pages, sentiment assessment of each mention, and notifications to Telegram or email. We consolidate mentions into a single feed with source, date, and context, separate spikes from background noise, and help you respond in time — to thank someone for a good review or defuse negativity before it spreads. We work with publicly available data. The result is that you stop learning what people say about you by chance and too late, and instead keep your finger on the pulse of your reputation.

How it works, in essence

The monitoring is built as regular search plus classification. On a schedule, scrapers crawl social media and websites for your defined keywords and collect fresh mentions — posts, comments, and pages where your brand or topic appears. Every mention is saved with its source, date, author, and context, and then undergoes sentiment assessment: positive, negative, or neutral. The system compares the current flow against the usual baseline, and when mentions spike or noticeable negativity appears, it sends an alert. The full history is stored, so you see not just an individual mention but the dynamics: whether interest is growing and whether sentiment is shifting over time. This way a reputational signal is visible as it rises, not after the fact when it's already too late to react.

Where mention monitoring came from

Mass mention tracking began with a simple tool: in 2003, Google launched Google Alerts, which emailed you when new pages appeared for a given query. In parallel, science delivered the technology for sentiment assessment: the foundational work on machine classification of opinions was published by Bo Pang and Lillian Lee in 2002, showing that the sentiment of a text can be determined algorithmically. At the intersection of these ideas, specialized social-monitoring systems grew: Radian6 appeared in 2006, Brandwatch in 2007, and they turned mention tracking with sentiment assessment into a distinct industry. We apply this mature approach, collecting mentions with modern tools and assessing their sentiment, rather than relying on random manual checks.

Why coverage and sentiment are critical

Mention monitoring is valuable for its timeliness and the accuracy of its interpretation. A missed spike of negativity means you learn about a reputational fire only once it's already blazing and expensive to put out. That's why breadth of source coverage and reliability of scheduling matter — monitoring must not go silent at the critical moment. Equally important is correct sentiment assessment: if the system mistakes sarcasm for praise or flags a neutral mention as negative, you either respond in the wrong direction or drown in false alarms. That's why we configure keywords carefully, filter out irrelevant noise, and calibrate alert thresholds so they fire when it matters. As a result, you get a reliable signal about what is being said about your brand and in what tone, rather than a stream of useless notifications or silence at the moment you need it most.

What stack we work on

We build the mention-collection layer on the Apify platform and its actors for social media and websites, gathering fresh posts, comments, and pages by keyword. We do sentiment assessment and classification with language models and rules, reducing every mention to a clear label. Orchestration, scheduling, and alerts are handled by n8n: collect, assess sentiment, compare against the baseline, and on a spike or negativity notify to Telegram or email. We store the mention history in a database and surface an overview as a feed or dashboard with filters by source and sentiment. The stack is manageable and portable: both the data and the monitoring logic stay with you, and tracking can be extended to new brands, topics, and competitors without being tied to us.

When the key tools appeared

The tools of mention monitoring came together in milestones. Google Alerts, which made mention tracking mainstream, launched in 2003. The technology of automatic sentiment assessment was laid down by the 2002 work of Bo Pang and Lillian Lee. Specialized social-monitoring systems followed: Radian6 in 2006, Brandwatch in 2007. The collection tools on which we build our monitoring are the Apify platform (2015) and the n8n orchestrator (2019). We combine the mature idea of mention tracking with modern collection and sentiment assessment powered by language models, so the monitoring is more accurate and complete than simple single-keyword alerts.

Why you can trust us with this

Our team's combined IT experience exceeds 45 years, and we treat mention monitoring as an engineering task where both coverage and interpretation matter. We configure keywords carefully, filter out noise, and calibrate sentiment and alert thresholds so the signal is reliable rather than a stream of false alarms. We deploy the collection and monitoring logic on your side, so both the data and the process remain yours. We will tell you plainly where source coverage is sufficient and where the topic is too broad and needs refining. As a result, you keep your finger on the pulse of your reputation and respond to mentions in time, instead of being the last to learn what people say about you.