Radarkit Review
AI brand monitoring across ChatGPT, Claude, Gemini, and Perplexity with API access
Radarkit is a solid mid-market option for AI visibility monitoring. At $29/month entry pricing with API access included, it undercuts most competitors on cost while covering the four major AI platforms. The main gaps are no white-label delivery and no Google AI Overviews tracking, which limits its appeal for agencies.
Pros and cons
- Lowest paid entry price in the category at $29/month
- API access included across plans
- Covers all four major AI platforms: ChatGPT, Claude, Gemini, Perplexity
- Citation source analysis shows where AI models are pulling information from
- Competitor share-of-voice benchmarking built in
- No white-label or client-sharing features
- Does not track Google AI Overviews or Google AI Mode
- No free tier to evaluate before committing
What is Radarkit?
Radarkit monitors brand mentions and citations across ChatGPT, Claude, Gemini, and Perplexity. The platform tracks how often your brand appears in AI-generated answers, which sources the AI models cite, and how your visibility compares to competitors over time.
Where Radarkit stands out is its pricing accessibility. At $29/month for the Lite plan, it is one of the cheapest ways to get structured AI visibility data with API access included. Most tools at this price point are either read-only dashboards or restrict API use to higher tiers.
The platform is self-serve and does not require a sales call. You can sign up, connect your brand, and start seeing citation data within a day. The citation source identification feature is particularly useful: it tells you which websites and content pieces AI models are using when they mention your brand, giving you a starting point for content strategy decisions.
Core features
Brand mention tracking across 4 AI engines
Radarkit runs a configured prompt set across ChatGPT, Claude, Gemini, and Perplexity and records every instance where your brand appears in the AI-generated answers. Results are timestamped and trended over time so you can see whether visibility is growing, shrinking, or stable across each model individually.
Citation source identification
Beyond knowing that your brand was mentioned, Radarkit identifies the specific web sources that AI models cited alongside your brand. This tells you whether the AI is pulling from your own site, third-party reviews, news coverage, or competitor comparisons. That data is directly actionable: if a competitor review site is driving most of your citations, you know where to prioritize content or relationship work.
Competitor benchmarking and share-of-voice
Configure a set of competitors and Radarkit tracks their AI citations alongside yours. The share-of-voice view shows you what proportion of relevant AI answers mention your brand versus each competitor, both in aggregate and per AI model. If you are losing ground on one platform but not others, the per-model breakdown surfaces that quickly.
Trend analysis and historical data
All visibility data is stored historically, so you can compare current performance to past periods. Trend views make it easy to see the effect of content changes, PR campaigns, or competitor moves on AI citation rates. The historical data depth depends on your plan tier.
API access for custom integrations
Radarkit includes API access on paid plans, letting you pull visibility metrics into your own dashboards or reporting tools. This is one of the more significant differentiators at this price range. The API is documented and you can use it to automate reporting without manually exporting data from the UI.
Pricing
| Feature | Lite $29/mo | Growth $79/mo | Pro $139/mo | Enterprise Contact |
|---|---|---|---|---|
| AI models tracked | 4 | 4 | 4 | 4 |
| API access | ✓ | ✓ | ✓ | ✓ |
| Competitor benchmarking | ✗ | ✓ | ✓ | ✓ |
| Citation source analysis | ✗ | ✓ | ✓ | ✓ |
| Historical trend data | 30 days | 90 days | Unlimited | Unlimited |
| White label | ✗ | ✗ | ✗ | ✗ |
Who it is for
You need to start tracking AI visibility without a large budget or a complicated procurement process. Radarkit's $29/month Lite plan lets you get data into your workflow fast, and the API means you can pull it into an existing dashboard if needed. The citation source data gives your content team something specific to act on.
You want structured AI visibility data you can pull into your own tools rather than living in yet another dashboard. Radarkit's API access at sub-$100 pricing makes it one of the cheaper ways to get clean citation data into a pipeline you control.
You are not an SEO specialist but you want to know whether ChatGPT and Gemini are mentioning your business when people ask relevant questions. Radarkit's self-serve setup and simple UI make it approachable without requiring technical expertise to get started.
Verdict
Radarkit earns its place in the category by being genuinely affordable with API access included from the start. If your needs are internal, the price-to-feature ratio is strong. The absence of white-label delivery and Google AI Overviews tracking are real gaps, but for solo operators and small teams who just need to know what the major AI models are saying about their brand and where those citations come from, Radarkit delivers that clearly and cheaply.
Frequently asked questions
Does Radarkit offer a free trial or free tier?
Radarkit does not currently offer a permanent free tier. The lowest entry plan is the Lite tier at $29/month. Check the website for any trial or money-back policy, as these can change.
Which AI models does Radarkit track?
Radarkit tracks brand mentions across ChatGPT, Claude, Gemini, and Perplexity. It does not currently cover Google AI Overviews, Google AI Mode, Copilot, Grok, or Meta AI.
Can I use Radarkit for client reporting?
Radarkit does not include white-label features or guest client access links. You would need to export data and present it through your own reporting format. If you need white-label delivery built in, tools like AI Peekaboo are better suited.
What is citation source analysis and why does it matter?
Citation source analysis identifies which web pages AI models reference when they mention your brand. This tells you whether citations come from your own site, review platforms, news articles, or competitor content. That information helps you decide where to focus content creation or outreach to improve AI citation quality.
How does Radarkit compare to AI Peekaboo on price?
Radarkit starts at $29/month versus AI Peekaboo's $50/month. However, AI Peekaboo includes white-label delivery and a read/write API on all plans, and it tracks Google AI Overviews and Google AI Mode. The right choice depends on whether you need agency delivery features or just the raw visibility data.