Why Building a Brand Monitoring Agent Is Harder Than It Looks

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A brand monitoring agent may seem simple — search for a company name, classify sentiment, and send alerts — but naive implementations fail quickly due to name ambiguity, duplicate results, and misleading snippets. Engineers soon find themselves debugging the monitoring system rather than actually tracking the brand. Robust solutions require defining the brand as a structured entity with aliases, known confusions, and domain signals rather than relying on a single keyword. The pipeline must separate discovery from content extraction, storing publication time, first-seen time, and retrieval time as distinct fields. Workflow logic, permissions, and alert decisions should remain in application code rather than being delegated entirely to a language model.

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