MentionDrop

About MentionDrop

MentionDrop monitors Reddit, news and search for brand mentions and — the part that separates it from a raw alert feed — classifies each one with a suggested action: reply, share, follow up or ignore. The timing argument is the product's core claim: a mention is worth acting on while the thread is still live, and most monitoring tools surface things late enough that the useful window has closed. Delivery is deliberately dual-surface. Mentions arrive by email for a person to read, and the same data is available over an HTTP API and an MCP server, so an AI agent can pull mentions itself rather than a human forwarding them into a workflow — MCP and API access are included at the entry tier rather than being an enterprise upsell, which is unusual in this category and the reason the tool fits an agent-driven stack. The site lets a visitor run it against real brands, including several named customers, before signing up. Pricing is keyword-based with history depth and webhook delivery scaling up the tiers, positioned explicitly as the essentials at an indie budget against enterprise suites that cover similar ground, and a fourteen-day money-back guarantee applies. The absence of a contract, combined with API and MCP access at the bottom tier, makes it usable as a component inside a larger monitoring workflow rather than only as a standalone product.

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