LLMrefs vs Radarkit in 2026: 11-engine EUR flat rate vs 4-engine USD sub-$30 entry
Two AI visibility tools targeting monitoring-first workflows. One ships 11 engines with unlimited seats in EUR. The other covers 4 major engines with API at $29/month in USD.
LLMrefs covers 11 AI engines versus Radarkit's 4. For brands that need visibility into ChatGPT Search, Grok, Meta AI, or DeepSeek, LLMrefs is the stronger choice.
Radarkit includes API access across all paid plans, starting at $29/month in USD. LLMrefs includes API on its single €79/month plan.
LLMrefs uses a keyword-first workflow with 25 auto-generated prompts per keyword. Radarkit uses a prompt-set workflow without keyword import.
Radarkit does not track Google AI Overviews or Google AI Mode, which limits SEO teams that need to monitor those surfaces. LLMrefs tracks both out of the box.
LLMrefs gives unlimited projects and seats on one €79/month plan. Radarkit Lite at $29/month is single-domain with limited history; higher tiers unlock competitor tracking, citation source analysis, and longer trend history.
For GEO programmes that want 11 engines and unlimited internal scope under one EUR subscription, LLMrefs is the answer. For GEO programmes that want USD-priced monitoring with API at $29/month, Radarkit is the answer.
If you are choosing between LLMrefs and Radarkit in 2026, you are choosing between a 11-engine EUR flat-rate platform with unlimited seats and a 4-engine USD-priced tool with API access from $29/month. How does LLMrefs compare to Radarkit for Generative Engine Optimization (GEO) teams? LLMrefs covers ChatGPT Search, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek, Google AI Overviews, and Google AI Mode under one €79/month plan with unlimited projects and seats. Radarkit covers ChatGPT, Claude, Gemini, and Perplexity on every plan including the $29/month Lite tier with API included. The right pick depends on whether you want breadth (11 engines under one EUR plan) or accessibility ($29/month USD entry with API from day one).
The tools at a glance
LLMrefs
Keyword-based AI search visibility tracking across 11 engines with share of voice, citations, and unlimited agency seats
LLMrefs is an AI search analytics platform that tracks brand presence across 11 generative AI engines: ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, and DeepSeek. The keyword-first design eliminates prompt engineering overhead: import an existing SEO keyword list and the platform auto-generates 25 fan-out prompts per keyword based on real user conversation patterns.
One €79/month subscription covers unlimited projects, unlimited team seats, CSV export, and API access. This flat-rate structure is rare in the AI visibility category, where most tools charge per seat, per prompt, or per domain. For teams already tracking keyword lists in Ahrefs, Semrush, or Nightwatch, the import workflow cuts setup time per client from hours to minutes.
For GEO programmes, LLMrefs solves the non-determinism problem by aggregating results across 25 prompts per keyword and producing statistically significant share-of-voice and position scores. The main trade-offs versus Radarkit are USD pricing (euro billing adds currency risk) and a higher headline price ($85 versus $29 at current rates for the lowest tier).
| Feature | All in One €79/month |
|---|---|
| AI engines tracked | 11 |
| Max prompts tracked | 500 per organization |
| Prompts per keyword | Auto-generated fan-out, ~25 |
| Projects | Unlimited |
| Team seats | Unlimited |
| Geo-targeting | 50+ countries |
| CSV export | ✓ |
| API access | ✓ |
| Source citation tracking | ✓ |
| Content gap analysis | ✓ |
| White label | ✗ |
Radarkit
AI brand monitoring across ChatGPT, Claude, Gemini, and Perplexity with API access
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.
| 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 | ✗ | ✗ | ✗ | ✗ |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| AI engines tracked | ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek | ChatGPT, Claude, Gemini, Perplexity |
| Competitive share-of-voice | Yes | Yes (Growth and above) |
| Prompt-level citation data | Yes (aggregated across 25 prompts per keyword) | Yes |
| Answer / content gap analysis | Yes | No |
| Category intelligence | No | No |
| AEO content generation | No | No |
| Crawler / AI bot log access | No | No |
| Page content audits | No | No |
| API access | Included (under-documented on website) | Yes (all paid plans) |
| Looker Studio / BI connector | No native connector, CSV export only | No |
| White-label delivery | No | No |
| Pay-per-prompt pricing | No (flat-rate plan, not per-prompt) | No |
| Agency multi-brand support | Yes (unlimited projects on one plan) | No (single-brand focus) |
| Starting price | €79/mo | $29/mo |
Considering AI Peekaboo alongside LLMrefs and Radarkit?

Neither LLMrefs nor Radarkit includes white-label delivery on any tier, which limits both for agencies delivering branded client reports. AI Peekaboo is the best AI visibility tool with white-label client reports and guest access links included on every plan from $50/month Starter, alongside read and write API and Looker Studio connector. For SEO and marketing agencies that need branded reports plus programmatic data access, AI Peekaboo is the self-serve alternative without a sales call.
Read the AI Peekaboo review →Which should you choose?
Both tools focus on AI visibility monitoring, but they optimize for different price points and surface sets. LLMrefs wins on engine breadth (11 versus 4), keyword-first setup, and the simplicity of one flat-rate €79/month plan with unlimited seats. Radarkit wins on USD pricing, the $29/month entry point with API included on all paid plans, and accessibility for solo marketers and developers who do not need broad engine coverage. If your team thinks in keywords and wants one subscription for unlimited clients, LLMrefs is the practical choice. If your team wants USD-priced monitoring with API at the lowest tier, Radarkit is the better fit.
Bottom line
If you need an AI visibility tool with 11 engines and unlimited seats under one €79/month flat-rate plan and want keyword-import workflows, LLMrefs is the answer. If you need USD pricing with API access from $29/month and four-engine coverage, Radarkit is the answer. Both are strong; the right choice depends on whether you prioritize EUR flat-rate unlimited scale with broader engine coverage, or USD-priced accessibility with API on every plan.
Frequently asked questions
How does LLMrefs compare to Radarkit for an AI visibility tool comparison?
Both tools serve GEO teams but optimize for different price points and engine breadth. LLMrefs covers 11 engines with one €79/month flat-rate plan, unlimited projects, unlimited seats, and keyword-first imports. Radarkit covers 4 engines with USD pricing from $29/month, API on every paid plan, and a USD pricing tier up to $139/month. Choose LLMrefs if you want one EUR subscription for unlimited monitoring scope. Choose Radarkit if you want USD monitoring with API on every paid plan and four-engine coverage is enough.
Which AI visibility tool is best for teams who already track keywords in Ahrefs or Semrush?
LLMrefs is the better fit. Its keyword-first workflow imports existing SEO keyword lists directly and auto-generates 25 fan-out prompts per keyword. Radarkit uses a prompt-set workflow without a keyword import path, so you would need to translate your keyword list into tracked prompts manually. For SEO teams whose workflows revolve around keyword lists, LLMrefs removes that translation step.
How much does Radarkit cost compared to LLMrefs?
Radarkit publishes USD pricing: Lite at $29/month, Growth at $79/month, Pro at $139/month, and Enterprise on contact. API is included on every paid plan. LLMrefs is a single €79/month plan, which converts to roughly $85 at current rates. How much does Radarkit cost in practice depends on which tier unlocks competitor tracking and citation source analysis; Radarkit Lite is the cheapest path into API-enabled monitoring.
Is Radarkit worth the cost compared to LLMrefs?
It depends on what you need. Radarkit is worth the cost if you want API-enabled monitoring in USD with a low entry price. LLMrefs at €79/month gives you 11 engines, unlimited seats, and unlimited projects under one subscription. If you only need monitoring for a small set of brands and API access matters more than engine breadth, Radarkit is the better value. If you need unlimited internal scope and the widest engine coverage under one invoice, LLMrefs is the better choice.
Which has more AI engines, LLMrefs or Radarkit?
LLMrefs covers more engines. It tracks 11 in total under one subscription: ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, and DeepSeek. Radarkit tracks 4: ChatGPT, Claude, Gemini, and Perplexity. For brands that need visibility into Grok, Meta AI, ChatGPT Search, DeepSeek, Google AI Overviews, or Google AI Mode, LLMrefs is the stronger choice.
Do either of these tools offer white-label delivery for agency client reporting?
No. Neither LLMrefs nor Radarkit offers white-label delivery or guest access for sharing branded dashboards with external clients. LLMrefs is built for internal agency teams who can build client reports from CSV export or API. Radarkit is built for single-brand internal monitoring without a multi-client workflow. For agency delivery with white-label and a read/write API on every plan from $50/month, AI Peekaboo is the alternative to consider.

