Free / Open-sourceSocial listening for the agent era — track every mention, act on the ones that matter
Free / Open-sourceSocial listening for the agent era — track every mention, act on the ones that matter

Brand and competitor mention monitoring built for AI agents
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026

This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, MentionDrop (mentiondrop.com) is an AI platform indexed under AI Monitor generating 2.63K monthly visits with a month-over-month traffic delta of +307 (+13.2%). Its primary geographic market is India (64.8% traffic share), and it operates on a Paid pricing model. Top competing alternatives by monthly volume include Octolens (44.08K visits/mo), Competitors App (16.35K visits/mo), Promptmonitor (3.23K visits/mo).
MCP server support is a total game changer for agent workflows.
Clean Slack alerts for Reddit and news.
No free tier makes testing a bit annoying.
Filters out noise really well.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Continuously checks Reddit, Google News, search results, and selected public web pages for brand, product, campaign, market, and competitor keywords on their own configured schedules.
Each relevant hit is reduced to a plain-English summary, sentiment label, relevance score, supporting evidence, and a concrete suggested next action so you can decide quickly.
Your existing AI agent can call tools such as list_keywords, get_recent_mentions, get_competitor_signals, get_pain_signals, get_digest, and generate_reply_draft through the hosted MCP endpoint or the REST API.
Dedicated monitor roles for competitors and for demand or pain signals help surface share-of-voice shifts and public posts that read as buying intent.
Review signals in the dashboard, by email, in Slack, or via webhooks on Pro, and record human relevant/not-relevant reviews against each mention.
MentionDrop replaces link-flood alerting with decision-ready signals. You add a keyword, the service keeps checking its configured public sources on their own schedules, and only the mentions that clear your relevance threshold get processed into something a human or an agent can act on. Each qualifying mention carries a summary, sentiment, a relevance score, the original URL, and a recommended action, which keeps the review workload focused on conversations and evidence that may actually matter.
The agent angle is the core of the product. Every plan includes an HTTP API and an MCP server hosted at the service's /api/mcp endpoint. MCP-aware clients such as Claude, Claude Code, Cursor, Windsurf, and comparable tools can list your monitors, fetch recent mentions, search history, pull competitor and demand signals, retrieve a consolidated digest, and even generate a reply draft for review. MentionDrop is explicit that it never posts a public reply on your behalf, so a human always approves outbound responses.
Pricing is straightforward: a Starter plan at $29 per month with five keywords and 90 days of mention history, and a Pro plan at $59 per month with 20 keywords, 180 days of history, webhook delivery, and competitor share-of-voice reporting. There is no free tier, but both plans carry a 14-day refund guarantee and there are no contracts. It is best understood as a Google Alerts alternative aimed at teams that also want sentiment, suggested actions, and programmatic access for their existing AI tooling.
Monitor brand and campaign keywords across Reddit, news, and search so emerging complaints, misstatements, or coverage spikes reach a person while there is still time to respond.
Use pain and demand signals to spot threads where people describe the problem you solve, then act on the highest-relevance items with a reviewed reply or outreach draft.
Run competitor-role monitors and compare mention volume and sentiment against your own keywords to see where rivals are gaining attention.
Connect the MCP server to Claude, Cursor, or another MCP-aware client so your assistant can answer questions about what is being said about your brand right now.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | MentionDrop | 2.63K | +13.2% | 39% direct | Paid | Current |
| 1 | Octolens | 44.08K | -39.4% | 42% direct | Free Trial, Paid | vs Octolens |
| 2 | Competitors App | 16.35K | +28.5% | 40% direct | Freemium, Free Trial, Contact for Pricing | vs Competitors App |
| 3 | Promptmonitor | 3.23K | +92.9% | 40% direct | Freemium | vs Promptmonitor |
| 4 | LLM Pulse | 84.73K | -4.8% | 35% direct | Paid | vs LLM Pulse |
| 5 | Raindrop | 42.81K | -18.4% | 55% direct | Free Trial, Paid, Contact for Pricing | vs Raindrop |
| 6 | KWatch.io | 6.52K | -29.9% | 40% direct | Freemium, Paid, Contact for Pricing | vs KWatch.io |
Free / Open-sourceSocial listening for the agent era — track every mention, act on the ones that matter
Free / Open-sourceSocial listening for the agent era — track every mention, act on the ones that matter

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