Key Takeaways
- Meteoria offers transparent pricing starting at €75/month with clear feature tiers, while AI Peekaboo doesn't publicly disclose pricing -- a red flag for buyers who need to budget
- Meteoria tracks 5 AI models (ChatGPT, Perplexity, Google AI Overview, Gemini, Grok) vs Peekaboo's 4 (ChatGPT, Perplexity, Gemini, Google AI Overviews + Google AI Mode)
- Both platforms lack content optimization features -- they show you where you're invisible but don't help you fix it. Tools like Promptwatch fill this gap with content gap analysis and AI writing agents that generate articles engineered to get cited.
- Meteoria includes sentiment analysis to track how AI models talk about your brand (positive, neutral, negative), which Peekaboo doesn't mention
- AI Peekaboo positions itself for agencies with multi-client management, while Meteoria emphasizes unlimited seats and projects even on lower tiers
- Neither platform offers AI crawler logs or traffic attribution -- you can see mentions but not how AI engines discover your content or whether visibility translates to actual traffic
Overview
Meteoria
Meteoria is a French GEO (Generative Engine Optimization) platform launched to help brands track how AI models mention them. It monitors ChatGPT, Perplexity, Google AI Overview, Gemini, and Grok across custom prompts you define. The platform emphasizes three steps: measure your visibility score, compare against competitors, and optimize based on insights. Pricing starts at €75/month for 25 prompts with unlimited seats and projects. Meteoria targets French and European markets but supports multi-language tracking.
AI Peekaboo

AI Peekaboo (often just called Peekaboo) is a basic AI visibility monitoring tool that tracks brand mentions across ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode. It offers simple dashboards showing when and how AI models mention your brand, with a focus on agency use cases and multi-client management. Pricing isn't publicly disclosed, though a 7-day free trial is available. The platform lacks advanced features like content gap analysis, AI crawler logs, or prompt intelligence.
Side-by-Side Comparison
| Feature | Meteoria | AI Peekaboo |
|---|---|---|
| Pricing transparency | ✓ Public (€75-€300+/mo) | ✗ Undisclosed |
| Free trial | 7 days | 7 days |
| AI models tracked | 5 (ChatGPT, Perplexity, Google AI Overview, Gemini, Grok) | 5 (ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode) |
| Custom prompts | ✓ 25-200+ depending on plan | ✓ (limit unclear) |
| Competitor tracking | ✓ Position relative to competitors | ✓ Basic comparison |
| Sentiment analysis | ✓ Explicit and implicit sentiment | ✗ Not mentioned |
| Source analysis | ✓ Shows which sources AI cites | ✗ Not mentioned |
| Multi-client management | ✗ Not emphasized | ✓ Agency-focused |
| Unlimited seats | ✓ All plans | ✗ Unclear |
| Content gap analysis | ✗ | ✗ |
| AI crawler logs | ✗ | ✗ |
| Traffic attribution | ✓ Traffic analysis mentioned | ✗ |
| API access | ✗ Not mentioned | ✗ Not mentioned |
Pricing comparison
Meteoria pricing
| Plan | Price | Prompts | Key features |
|---|---|---|---|
| Basic | €75/mo | 25 prompts | Unlimited seats, unlimited projects, 5 AI models |
| Pro | €175/mo | 100 prompts | Everything in Basic + more prompt capacity |
| Enterprise | From €300/mo | 200+ prompts | Custom prompt limits, dedicated support |
AI Peekaboo pricing
Peekaboo doesn't publish pricing on their website. Based on market positioning and the 7-day trial offer, estimates suggest entry-level plans start around $49-79/month, but this is speculation. The lack of transparent pricing makes it harder to evaluate ROI before committing to a sales call.
Verdict: Meteoria wins on pricing transparency. You know exactly what you're paying and what you get. Peekaboo's hidden pricing is a friction point -- especially for smaller teams who need to budget without scheduling demos.
Feature deep-dive
Prompt tracking and AI model coverage
Both platforms let you define custom prompts to monitor how AI models respond. Meteoria tracks 5 models: ChatGPT, Perplexity, Google AI Overview, Gemini, and Grok. Peekaboo also tracks 5: ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode (the latter two are Google products with slightly different behaviors).
Meteoria emphasizes "hundreds of prompts each day" and lets you segment by sector, product, persona, and geography. Peekaboo's website shows example prompts ("Which team chat tool is best for a 10-person startup?") but doesn't specify prompt limits per plan.
Verdict: Roughly tied on model coverage. Meteoria is clearer about prompt capacity per plan.
Visibility scoring and competitor analysis
Meteoria calculates a visibility score showing how often your brand appears in AI responses, plus your position relative to competitors. You can compare your score against rivals across different AI models and prompt categories.
Peekaboo offers an "AI visibility score" and basic competitor comparison, but the website doesn't detail how the score is calculated or what granularity you get.
Verdict: Meteoria provides more detail on how scoring works and how to interpret it.
Sentiment analysis
Meteoria explicitly tracks sentiment -- both explicit ("This brand is great") and implicit (tone, context) -- to help you understand how AI models talk about your brand. This matters for reputation management: being mentioned negatively is worse than not being mentioned at all.
Peekaboo doesn't mention sentiment analysis anywhere on their site.
Verdict: Meteoria wins. Sentiment tracking is a meaningful differentiator for brand monitoring.
Source and citation analysis
Meteoria shows which sources (websites, articles, Reddit threads, etc.) AI models cite when they mention your brand or competitors. This helps you understand where to get mentioned -- if AI models consistently cite TechCrunch reviews, you know where to focus PR efforts.
Peekaboo's website doesn't mention source analysis.
Verdict: Meteoria offers more actionable insights by surfacing citation sources.
Traffic and content analysis
Meteoria claims to "analyze your content and traffic to understand your compatibility with LLMs and your concrete results." This suggests some level of traffic attribution or content audit, though the website doesn't detail how this works.
Peekaboo doesn't mention traffic analysis or content audits.
Verdict: Meteoria hints at deeper analytics, but both platforms are vague here. For real traffic attribution (connecting AI visibility to actual revenue), you'd need a platform like Promptwatch that offers code snippets, GSC integration, or server log analysis.

Multi-client and agency features
Peekaboo explicitly markets itself to agencies with multi-client management. Meteoria offers unlimited seats and unlimited projects on all plans, which works for agencies but isn't positioned that way.
Verdict: Peekaboo is slightly better for agencies who need clean client separation. Meteoria's unlimited seats are generous but less tailored.
Content optimization and gap analysis
Neither platform offers content gap analysis (showing which prompts competitors rank for but you don't) or AI content generation. They're monitoring-only tools. If you want to actually fix your invisibility -- not just track it -- you need a platform that shows you what content to create and helps you create it. Promptwatch's Answer Gap Analysis does exactly this: it surfaces the specific topics and angles your site is missing, then uses an AI writing agent to generate articles grounded in 880M+ citations and real prompt data.
Verdict: Both platforms fall short here. Monitoring is step one; optimization is where ROI happens.
AI crawler logs
Neither Meteoria nor Peekaboo offers AI crawler logs -- real-time tracking of when ChatGPT, Claude, Perplexity, and other AI engines crawl your website. Without this, you're blind to indexing issues, crawl frequency, and which pages AI models actually read. Promptwatch includes crawler logs as a core feature, showing exactly which pages AI engines hit, errors they encounter, and how often they return.
Verdict: Both platforms miss this entirely.
User experience and interface
Meteoria's website is polished and French-first (with English support). The interface screenshots show clean dashboards with visibility scores, competitor heatmaps, and source breakdowns.
Peekaboo's website is simpler and more minimal. The interface looks straightforward but less feature-rich based on screenshots.
Verdict: Meteoria appears more robust visually. Peekaboo feels lighter-weight.
Pros and cons
Meteoria pros
- Transparent pricing with clear feature tiers
- Sentiment analysis for brand reputation tracking
- Source/citation analysis to understand where AI models pull data
- Unlimited seats and projects on all plans
- Tracks 5 major AI models including Grok
- Traffic analysis mentioned (though details are vague)
Meteoria cons
- No content gap analysis or optimization tools
- No AI crawler logs
- No API access mentioned
- French company (could be a pro or con depending on your market)
- Doesn't help you create content that ranks in AI
AI Peekaboo pros
- 7-day free trial to test before committing
- Multi-client management for agencies
- Tracks Google AI Mode in addition to standard models
- Simple, lightweight interface
AI Peekaboo cons
- No public pricing -- you have to ask
- No sentiment analysis
- No source/citation tracking mentioned
- No content optimization or gap analysis
- No AI crawler logs or traffic attribution
- Feature set appears thinner overall
- Website lacks detail on how features actually work
Who should pick which tool
Choose Meteoria if:
- You want transparent pricing and need to budget without sales calls
- Sentiment analysis matters for your brand reputation strategy
- You need to understand which sources AI models cite (for PR and link-building)
- You're managing multiple projects or teams and want unlimited seats
- You're comfortable with a French company (they support English but are based in France)
Choose AI Peekaboo if:
- You're an agency managing multiple clients and need clean client separation
- You prefer a simpler, lighter-weight tool without advanced analytics
- You're willing to contact sales for pricing and don't mind the lack of transparency
- You specifically need Google AI Mode tracking (though Meteoria covers the more important Google AI Overview)
Choose neither if:
- You want to actually optimize for AI visibility, not just monitor it. Both platforms show you the problem but don't help you fix it. Promptwatch goes further: it identifies content gaps (which prompts competitors rank for but you don't), generates AI-optimized articles with a built-in writing agent, tracks AI crawler behavior, and attributes traffic to AI visibility. That's the difference between a dashboard and an optimization platform.
Final verdict
Meteoria is the stronger choice for most teams. It offers transparent pricing, more detailed analytics (sentiment, sources, traffic hints), and a clearer feature set. The €75/month entry point is reasonable, and unlimited seats make it scalable.
AI Peekaboo feels undercooked. The lack of public pricing is a dealbreaker for many buyers, and the feature set -- based on what's publicly documented -- is thinner. The agency positioning is a plus if you need multi-client management, but Meteoria's unlimited projects can serve the same use case.
That said, both platforms are monitoring-only tools. They tell you where you're invisible but leave you to figure out the fix on your own. If you're serious about AI visibility, you need a platform that closes the loop: find gaps, create content, track results. Meteoria and Peekaboo handle step three. Promptwatch handles all three.
