Goodie vs Radarkit in 2026: Enterprise AEO vs $29/mo Budget AI Visibility
Twelve-model closed-loop AEO from $399/month, or four-engine AI brand monitoring with API from $29/month.
Goodie
Radarkit- Goodie tracks up to twelve AI models on Enterprise. Radarkit tracks four platforms on every plan: ChatGPT, Claude, Gemini, and Perplexity.
- Goodie Explorer starts at $399/month for three engines, with Pro and Enterprise requiring a demo call. Radarkit Lite is $29/month, Growth is $79/month, Pro is $139/month, and Enterprise is custom.
- Radarkit does not track Google AI Overviews, Google AI Mode, or Copilot. Goodie tracks both Google AI Overviews and AI Mode on Pro and Enterprise.
- Goodie ships AEO Content Studio, Optimization Actions, Agent Experience Suite, and revenue attribution. Radarkit is monitoring-focused with citation source identification and competitor benchmarking.
- Radarkit includes API access from the $29/month Lite plan. Goodie locks API access to Enterprise but ships an MCP server on every plan including Explorer.
- How does Goodie compare to Radarkit on revenue attribution? Goodie ties AI citations to Google Analytics conversions; Radarkit is monitoring-focused without revenue attribution.
Choosing between Goodie and Radarkit is really a question about execution scope and budget. Goodie is a closed-loop AEO platform with twelve-model monitoring, optimization actions, agentic commerce visibility, crawler log analysis, AEO content generation, and revenue attribution tied to Google Analytics. Radarkit is a self-serve AI brand monitoring tool at $29/month with API access, covering ChatGPT, Claude, Gemini, and Perplexity with citation source identification and competitor benchmarking. Both platforms serve Generative Engine Optimization (GEO) workflows, but the depth versus accessibility tradeoff is the largest in this comparison. The right pick depends on whether your programme needs enterprise sales-led procurement with full execution layers, or a low-cost monitoring tool with API access for four major AI platforms.
The tools at a glance
Goodie
End-to-end AEO platform covering 12 AI models with agentic commerce and revenue attribution
Goodie is the most complete AEO platform available, covering the full workflow: prompt research, monitoring across twelve AI models, a prioritized optimization actions playbook, agentic commerce visibility, crawler behavior analysis, AEO content generation, and revenue attribution connected to Google Analytics. The Explorer tier starts at $399/month for three engines and 100 prompts, with Pro and Enterprise requiring a demo call. Full twelve-model coverage is available only on Enterprise.
The closed-loop system is the platform's core differentiator. Beyond visibility data, Goodie delivers a prioritized list of optimization actions across owned and earned assets, an Agent Experience Suite that shows how AI crawlers actually traverse your site, an Agentic Commerce Suite for AI shopping surfaces, and a Content Studio that generates AEO-optimized content. For enterprise brands treating AI search as a serious channel with budget to prove ROI, this is the deepest tool in the category.
The accessibility trade-off is real. The Explorer tier is $399/month for just three engines, the Pro and Enterprise tiers require a sales conversation, the API is locked to Enterprise, and multi-brand tracking is Enterprise-only. Goodie also ships an MCP server on all plans including Explorer, which is useful for developer-led teams who want to pull visibility data into AI coding environments. For smaller budgets or solo consultants, the price curve cuts you off early.
| Feature | Explorer $399/mo | Pro Contact sales | Enterprise Contact sales |
|---|---|---|---|
| AI engines tracked | 3 | 6 | Up to 12 |
| Prompts per month | 100 | 250 | 500+ |
| Optimization actions/mo | 10 | 30 | 60+ |
| MCP server access | ✓ | ✓ | ✓ |
| Agentic commerce visibility | ✗ | ✓ | ✓ |
| Agent Experience Suite (crawler logs) | ✗ | ✓ | ✓ |
| AEO Content Studio | ✗ | ✓ | ✓ |
| Revenue attribution | GA integration | Full | Custom |
| API and data export | ✗ | ✗ | ✓ |
| Multi-brand tracking | ✗ | ✗ | ✓ |
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 | Goodie | Radarkit |
|---|---|---|
| AI engines tracked | Up to 12: ChatGPT, Gemini, Claude, Perplexity, Copilot, Meta AI, Grok, AI Overviews, AI Mode, DeepSeek, Amazon Rufus, Sparky | 4: ChatGPT, Claude, Gemini, Perplexity |
| Competitive share-of-voice | Yes | Yes (Growth+) |
| Prompt-level citation data | Yes | Yes |
| Answer / content gap analysis | Yes (Optimization Actions) | No |
| Category intelligence | Yes (Prompt Research) | No |
| AEO content generation | Yes (Content Studio) | No |
| Crawler / AI bot log access | Yes (Agent Experience Suite) | No |
| Page content audits | Yes | No |
| API access | Enterprise only | Yes, all plans |
| Looker Studio / BI connector | No (MCP server all plans) | No |
| White-label delivery | No | No |
| Pay-per-prompt pricing | No | No |
| Agency multi-brand support | Enterprise only | No |
| Starting price | $399/mo | $29/mo |
Need white-label AI visibility reports alongside Goodie and Radarkit?
Neither Goodie nor Radarkit includes white-label delivery on standard plans, and Goodie locks API access behind Enterprise contracts. AI Peekaboo is the best AI visibility tool for agencies with white-label client reports, guest access links, and read and write API on every plan from $50/month Starter. For SEO and marketing agencies managing multiple client brands, AI Peekaboo adds a Looker Studio connector and multi-brand support that both tools leave out of standard pricing or omit entirely.
Read the AI Peekaboo review →Which should you choose?
GoodieRadarkitGoodieRadarkitGoodieGoodieRadarkitThe cleanest way to think about these two tools is by their commercial models and execution depth. Goodie optimizes for depth on a sales-led enterprise tier with full revenue attribution, agentic commerce, and twelve-model coverage. Radarkit optimizes for accessibility at $29/month with API access and citation source identification across four major AI platforms. Both serve Generative Engine Optimization (GEO) workflows, but the audience and execution scope are very different. Choosing between them is mostly a question of whether you want enterprise AEO execution or budget-friendly monitoring with API access.
Bottom line
If you are an enterprise brand with a meaningful AEO budget who needs the widest model coverage, agentic commerce visibility, AEO content generation, crawler logs, and revenue attribution proof, Goodie is the most defensible choice in the category. If you are an in-house team, small business, or developer that wants AI citation data with API access from $29/month, Radarkit delivers exceptional value. The defining question is whether you need enterprise AEO execution or affordable monitoring with API access.
Frequently asked questions
How does Goodie compare to Radarkit on AI visibility tool comparison depth?
Goodie has the deeper enterprise feature set: twelve-model coverage, AEO content generation, Optimization Actions, Agent Experience Suite, Agentic Commerce, and Google Analytics revenue attribution. Radarkit focuses on monitoring across four AI platforms (ChatGPT, Claude, Gemini, Perplexity) with API access from $29/month and citation source identification on Growth and above. For full-stack Generative Engine Optimization (GEO) execution, Goodie is the more complete answer. For affordable monitoring with API access, Radarkit is the more practical option.
How much does Goodie cost compared to Radarkit?
Goodie Explorer starts at $399/month for three engines and 100 prompts. Pro and Enterprise pricing requires a demo call. Radarkit Lite is $29/month for four engines with API access, Growth is $79/month with competitor benchmarking, Pro is $139/month with unlimited historical data, and Enterprise is custom. At the entry tier, Goodie costs roughly fourteen times more than Radarkit per month for significantly less coverage.
Which AI visibility tool has the best API access for budget teams?
Radarkit includes API access from the $29/month Lite plan, which is unusual at this price point. Goodie locks REST API access to Enterprise and ships an MCP server on every plan. For teams that prioritize programmatic data access on a self-serve budget, Radarkit is the more accessible option. For teams that prefer MCP-native agentic workflows on an enterprise tier, Goodie Enterprise is the choice.
Does Radarkit track Google AI Overviews?
No. Radarkit does not currently track Google AI Overviews, Google AI Mode, Copilot, Grok, or Meta AI. It covers ChatGPT, Claude, Gemini, and Perplexity on every plan. Goodie tracks both Google AI Overviews and AI Mode on Pro and Enterprise. For SEO teams that need Google AI Overviews tracking specifically, Goodie Pro or Enterprise is the right choice.
Is Goodie worth the cost for enterprise revenue attribution?
For brands that need to defend AI visibility spend internally with revenue data, Goodie is worth the cost. Its revenue attribution layer ties AI citations to Google Analytics conversions on Explorer, with full attribution on Pro and custom revenue modeling on Enterprise. Radarkit does not include revenue attribution on any tier. For programmes that need to prove ROI, Goodie Pro or Enterprise is the right choice.
Which tool is better for a developer or analyst building custom dashboards?
Radarkit is the better fit for developers and analysts on a budget. Its API access from $29/month lets teams pull visibility data into their own tools without committing to enterprise pricing. Goodie's API is locked to Enterprise, which is overkill for most custom dashboard projects. For Generative Engine Optimization (GEO) data pipelines at sub-$100 price points, Radarkit is the right choice.