Mentionkit Review
Social listening for brand mentions, competitor conversations, and potential leads with AI relevance filtering
Mentionkit is worth evaluating for SaaS teams that want to turn buyer conversations into follow-up work. Its focus is finding and handling relevant mentions. Teams needing broad media intelligence should assess coverage separately. This profile describes published capabilities; it does not assign a hands-on review score.
Pros and cons
- AI relevance scoring and automatic tags help prioritize mentions
- API, webhooks, and MCP support external workflows
- A trial lets teams evaluate the product before subscribing
- Base includes one project, which needs consideration for separate client accounts
- Platform restrictions and deleted content can leave gaps in coverage
- No independently tested detection speed or accuracy is established in this profile
What is Mentionkit?
Mentionkit monitors brand names, competitors, and keywords across social platforms and communities. Supported sources include Reddit, X, LinkedIn, Slack, YouTube, GitHub, TikTok, Bluesky, and Hacker News. AI scoring and tags help teams find conversations that warrant a response.
The practical use case is lead discovery: identifying requests for recommendations, comparisons, and alternatives, then coordinating follow-up. Mentionkit positions itself around that workflow rather than as a replacement for every broad social listening suite.
Core features
AI relevance and tagging
Mentions receive relevance scores and automatic tags, helping users separate useful conversations from less relevant matches.
Community trackers
Trackers follow specific Reddit communities and connected Slack workspaces. Slack monitoring requires connecting the workspace to Mentionkit.
Team follow-up
Invite teammates or clients and see who handled a mention, keeping response work coordinated.
API and webhooks
Read mention data through the API or send notifications about new mentions to another tool using webhooks.
Remote MCP access
AI clients supporting remote MCP over HTTP can connect to Mentionkit. Agents can retrieve mention data and workflow context, inspect source links, and prepare follow-up actions. OAuth starts with read access; creating or reactivating keywords requires additional permission.
Pricing
| Feature | Base $49/mo |
|---|---|
| Projects | 1 |
| Keywords per project | 10 |
| Trackers per project | 10 |
| Mentions | Unlimited |
| API, MCP, and webhooks | ✓ |
| Slack and email alerts | ✓ |
| Trial | 14 days |
Who it is for
Find discussions from people evaluating products and coordinate relevant replies.
Follow brand and competitor conversations across social channels and connected communities.
Use the API or remote MCP connection to work with mentions outside the dashboard.
Verdict
Evaluate Mentionkit when responding to buyer conversations is the main job. Test your own keywords during the trial before relying on its coverage.
Frequently asked questions
How much does Mentionkit cost for a small SaaS team?
Mentionkit Base costs US$49 per month on monthly billing. Its billing documentation also lists US$490 for yearly billing. Base includes one project, ten keywords and ten trackers per project, and unlimited mentions.
Can I try Mentionkit without entering a credit card?
Mentionkit documents a 14-day trial with no card required to start. Subscribing during the trial starts the paid subscription immediately.
How long does Mentionkit keep mentions, and how many teammates can join?
Mentionkit retains mentions for up to one year and lists a soft limit of five seats. Its pricing FAQ says support can increase that seat limit at no extra cost.
Can Mentionkit replace a broad media monitoring platform?
Mentionkit focuses on actionable buyer conversations and follow-up. Organizations needing wider media coverage should validate their required sources before replacing an existing monitoring stack.
Vast experience talking to customers and users to understand what good software looks like. Background spans commercial and product roles.
15+ years building tech products and web applications. Conducted hundreds of user interviews to know what a good product looks like.
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