Aiso vs Radarkit in 2026: Conversation discovery vs affordable monitoring with API access
Two self-serve AI visibility platforms at different price points. Aiso leads with conversation analysis and three-state scoring at $79/month. Radarkit leads with monitoring across 4 engines and API access included from $29/month.
Aiso starts at $79/month for three-engine tracking with a Conversation Explorer. Radarkit starts at $29/month for Lite covering four engines with API access included from the entry tier.
Radarkit tracks four AI engines (ChatGPT, Claude, Gemini, Perplexity) with citation source analysis on Growth and above. Aiso covers three engines: ChatGPT, Gemini, Perplexity.
Radarkit includes API access on every paid plan from $29/month, which is rare at this price point. Aiso reserves API access for Enterprise tier only.
Radarkit does not include Google AI Overviews or Google AI Mode tracking. Aiso also does not include those surfaces, so neither tool covers Google AI at this comparison.
Aiso tracks fan-out patterns: the secondary prompts users ask after an initial query. Radarkit focuses on monitoring a configured prompt set rather than fan-out conversation analysis.
For Generative Engine Optimization (GEO) teams in the discovery phase needing conversation-led prompt research, Aiso is the more purposeful fit at $79/month. For teams needing API access and citation source tracking at the lowest entry price, Radarkit is the operational choice from $29/month.
If you are weighing AI visibility tools at the entry tier, Aiso and Radarkit both fit self-serve budgets but solve different parts of the GEO workflow. Aiso uses a Conversation Explorer to surface real ChatGPT and Gemini prompts, tracks three engines with three-state Mentioned, Recommended, Absent scoring at $79/month. Radarkit tracks four AI engines (ChatGPT, Claude, Gemini, Perplexity) with citation source analysis, competitor benchmarking, and API access included on every paid plan from $29/month. How does Aiso compare to Radarkit for teams weighing conversation-led discovery against operational monitoring with API access? Both serve Generative Engine Optimization (GEO) programmes, but Aiso helps you discover prompts while Radarkit helps you monitor a defined prompt set with API access. The right pick depends on whether discovery depth or operational delivery is your bigger gap.
The tools at a glance
Aiso
AI search optimization using real ChatGPT and Gemini conversation analysis
Aiso is an AI search optimization platform that focuses on prompt discovery. Its Conversation Explorer analyzes real conversations happening in ChatGPT and Gemini to surface the prompts actual users are asking in your category. For teams entering Generative Engine Optimization (GEO) for the first time, this removes a significant amount of upfront prompt engineering work and grounds the monitoring programme in real usage data.
The platform tracks three AI engines (ChatGPT, Gemini, and Perplexity) and uses a three-state scoring model: Mentioned, Recommended, or Absent. This scoring is more informative than a binary cited or not cited metric, since being mentioned in a long list of alternatives and being actively recommended as a solution represent meaningfully different brand outcomes. Aiso also tracks fan-out patterns: the secondary prompts users ask after an initial query.
The trade-off versus Radarkit is operational layer. Aiso covers three engines versus Radarkit four, has no API access on Starter or Growth, and offers no citation source tracking. For teams that need conversation-led prompt discovery first, Aiso is the right starting point at $79/month.
| Feature | Starter $79/month | Growth $239/month | Enterprise Custom pricing |
|---|---|---|---|
| AI models tracked | 3 | 3 | 3 |
| Conversation Explorer | ✓ | ✓ | ✓ |
| Competitor benchmarking | ✓ | ✓ | ✓ |
| Fan-out tracking | ✓ | ✓ | ✓ |
| API access | ✗ | ✗ | ✓ |
| White-label delivery | ✗ | ✗ | ✗ |
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. Citation source identification on Growth ($79/mo) shows which websites and content pieces AI models are using when they mention your brand.
The trade-off versus Aiso is the discovery layer. Radarkit assumes you already know your prompt set; it does not analyze real ChatGPT and Gemini conversations to surface prompts the way Aiso's Conversation Explorer does. For teams needing API access and citation source tracking at the lowest entry price, Radarkit is the operational choice from $29/month.
| 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, Gemini, Perplexity | 4 (ChatGPT, Claude, Gemini, Perplexity) |
| Competitive share-of-voice | Yes | Yes (Growth+) |
| Prompt-level citation data | Yes (Mentioned, Recommended, Absent scoring) | Yes |
| Answer / content gap analysis | Partial (via fan-out tracking) | Yes |
| Category intelligence | Yes (GPT Trends) | No |
| AEO content generation | No | No |
| Crawler / AI bot log access | No | No |
| Page content audits | No | No |
| API access | Enterprise plan only | Yes (all plans) |
| Looker Studio / BI connector | No native connector | No native connector |
| White-label delivery | No | No |
| Pay-per-prompt pricing | No (seat-based plans) | No |
| Agency multi-brand support | No | No |
| Starting price | $79/mo | $29/mo |
Considering AI Peekaboo alongside Aiso and Radarkit?

Aiso ships with no API access on any plan, and Radarkit does not include white-label delivery on any tier, which limits both for agency use. AI Peekaboo is the best AI visibility tool with white-label delivery plus read and write API included on every plan from $50/month Starter. For agencies managing multiple client brands that need both branded reports and programmatic data access, AI Peekaboo covers both gaps without a sales call.
Read the AI Peekaboo review →Which should you choose?
Both tools are self-serve AI visibility platforms with transparent pricing, but they sit at different price points and solve different parts of the GEO workflow. Aiso at $79/month helps you discover prompts through conversation analysis with three-state scoring. Radarkit at $29/month helps you monitor a defined prompt set with API access included from the start and citation source tracking on Growth. The choice is essentially discovery-versus-operational-monitoring as your bigger gap.
Bottom line
If your priority is Generative Engine Optimization (GEO) prompt discovery grounded in real ChatGPT and Gemini conversations with three-state scoring, Aiso at $79/month is the more purposeful fit. If your priority is API access and citation source tracking at the lowest entry price in the category, Radarkit at $29/month is the operational choice. Pick the platform that matches your team's maturity and budget.
Frequently asked questions
How does Aiso compare to Radarkit for AI visibility monitoring?
Aiso at $79/month is a prompt discovery platform with three-engine coverage, three-state Mentioned, Recommended, Absent scoring, and a Conversation Explorer that surfaces real ChatGPT and Gemini prompts. Radarkit at $29/month tracks four engines with API access included on every paid plan plus citation source analysis on Growth ($79/mo). Aiso fits the discovery phase; Radarkit fits teams wanting operational monitoring with API at the lowest entry price.
Is Radarkit worth the cost for API access at $29/month?
For teams that need to pipe AI visibility data into custom dashboards or BI tools, Radarkit's API access on Lite at $29/month is genuinely useful. Most competitors reserve API access for higher tiers. For teams that just need a web dashboard without programmatic access, Aiso at $79/month covers the prompt discovery use case.
How much does Aiso cost compared to Radarkit?
Aiso starts at $79/month on Starter, $239/month on Growth, and Custom on Enterprise. Radarkit starts at $29/month on Lite, $79/month on Growth, $139/month on Pro, and Custom on Enterprise. Radarkit is significantly cheaper at the entry tier and includes API access on Lite, which Aiso reserves for Enterprise. The right pick depends on whether prompt discovery (Aiso) or operational monitoring (Radarkit) is the priority.
Which tool has better prompt discovery for AI visibility?
Aiso is the answer here. Its Conversation Explorer analyzes real ChatGPT and Gemini conversations to surface prompts actual users are asking in your category, removing guesswork from prompt set definition at $79/month. Radarkit assumes you already know your prompt set; it does not have an equivalent prompt discovery layer. For teams entering Generative Engine Optimization (GEO) for the first time, Aiso is the more purposeful fit.
How many AI engines does each tool track?
Aiso tracks three engines (ChatGPT, Gemini, Perplexity) on every plan with three-state Mentioned, Recommended, Absent scoring. Radarkit tracks four engines (ChatGPT, Claude, Gemini, Perplexity) on every plan with API access. For brands whose audiences use Claude, Radarkit is the only choice between these two. For teams focused on conversation discovery in ChatGPT and Gemini, Aiso is sufficient.
Does Aiso or Radarkit have citation source tracking?
Radarkit includes citation source identification on Growth ($79/mo) and above, showing which websites and content pieces AI models use when they mention your brand. Aiso does not expose citation source tracking as a primary feature, focusing instead on prompt discovery and three-state scoring. For content teams that need to know which pages drive AI citations, Radarkit is the better fit.

