Nimt.ai
Nimt · Marketing
Nimt.ai is an AI search visibility platform that tracks how models like ChatGPT and Claude recommend your brand, then hands an AI agent the job of writing content, earning citations, and fixing pages to improve it.
About Nimt.ai
What Is Nimt.ai
Nimt.ai is an AI search visibility tracker for teams who want their brand to show up when people ask a model a question. It watches how ChatGPT, Claude, Gemini, Copilot, Perplexity, and AI Overviews talk about your brand, then reports where you lose visibility and why. The tracking half is familiar ground. The other half is less common: an AI agent that actually does the work to fix it.
That work is broad. The agent drafts articles and landing pages designed to get cited, runs outreach to the journalists and communities models lean on, and flags on-page changes that make your pages easier for an AI to quote. You can talk to it in the app or add @Nimt to a Slack channel, where a Slack AI marketing agent handles the same jobs the team would otherwise assign by hand.
Three things shape whether it fits. It's built for marketing teams and agencies rather than solo bloggers, so the pricing starts at $89 a month after $45 in free credits. It tracks AI models specifically, not classic Google rankings, which is a different job from SEO. And it works best when you let it publish, so teams that want full manual review will use it more slowly.
Getting Started
- Create an account on the Nimt.ai site with your website address.
- Let the platform scan how the major AI models describe and recommend your brand.
- Review the dashboard to see which prompts you're losing and which sources competitors win.
- Connect Nimt to Slack, or open the app, and ask the agent to fix a specific gap.
- Approve the drafted content and outreach, then let the agent publish or hand it to your CMS.
Product Information
A quick look at Nimt.ai's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Marketing teams
- Agencies running multi-brand accounts
- In-house SEO and content leads
- Founders without a specialist
Tasks
- Tracking brand monitoring in AI answers
- Finding AEO tool gaps
- Writing content that gets cited
- Running citation outreach
- Fixing on-page issues
Scenarios
- A brand losing AI visibility to a competitor
- A product launch
- A quarterly content plan
- An agency onboarding a new client
Key features
AI search tracking across major models
Nimt watches how the models people actually use describe your brand. That covers ChatGPT, ChatGPT Search, Copilot, AI Mode, AI Overviews, Perplexity, and Gemini, with all eight major models included on the paid plans. You can filter the data by intent, market, and language, and add as many brands as you need. The point is to see where you're recommended and where a rival gets mentioned instead.
An AI agent that does the work
Most tools stop at a dashboard. Nimt hands the dashboard's findings to an agent that produces the fix. It writes content, drafts outreach, and prepares on-page changes, then asks for approval before anything publishes. You can run it as a one-off job or set it to repeat, such as auditing pages every Monday or refreshing losing content every month. This is the feature that separates Nimt from a plain tracker.
Works inside Slack
You don't have to live in a separate app. Add @Nimt to a Slack channel and any teammate can ask what the brand is missing or hand over a job. The agent answers with data and drafts, then posts the finished work back in the channel. For marketing teams already coordinating in Slack, this keeps AI search work where the rest of the conversation happens.
MCP server for AI search
The MCP server for AI search links your workspace to Claude, ChatGPT, Cursor, n8n, Lovable, and any MCP-compatible client. From there you can query visibility and citation data, build white-label reports, inspect the pages AI cites, and set up whole projects from chat. It's a direct line for teams who'd rather work through their own AI assistant than a browser tab.
Citation and source analysis
Nimt shows which pages and sources AI models quote most, from media outlets to Reddit threads and review sites. Because a lot of what AI cites isn't your own site, the tool maps the third-party pages that drive the answers. You then know exactly who to pitch and what to improve, rather than polishing a homepage that AI never reads.
3,000+ app integrations
The platform connects to thousands of tools out of the box, including WordPress, HubSpot, Mailchimp, Shopify, Google Analytics, Search Console, Notion, and Figma. That means the agent can publish to your CMS, pull performance data, or hand work to the tools your team already uses. Fewer manual handoffs, less copy-pasting between platforms.
Pros and cons
Pros
- The agent does the outreach and content work, not just the tracking, which saves a hire most teams can't justify.
- Slack and MCP support keep AI search work inside the tools teams already use daily.
- Plans cover unlimited users and clients, so agencies don't pay per seat.
- Citation and source analysis targets the third-party pages that actually shape AI answers.
- $45 in free credits lets you test the agent on real work before paying.
Cons
- Pricing starts at $89 a month and scales with credits, so solo users and hobby projects are priced out.
- It focuses on AI search, not Google rankings, so teams still need SEO covered elsewhere.
- It's strongest when you let the agent publish, which is a hard sell for teams that review everything by hand.
- It's a young product, so the workflow and integrations are still settling compared with established SEO suites.
Frequently asked questions
Nimt.ai tracks how AI models like ChatGPT, Claude, and Gemini recommend your brand, then its AI agent does the work to improve that visibility. The agent writes content, runs outreach, and flags on-page fixes, and you can use it in the app or through Slack.
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