Key Takeaways
- LLMrefs costs $79/mo with transparent pricing and unlimited projects/domains, while Peekaboo doesn't disclose pricing publicly (estimated $49-79/mo)
- LLMrefs uses a keyword-first approach with automated prompt generation across 11 AI engines, making it faster to set up than Peekaboo's manual prompt tracking
- LLMrefs includes unlimited team seats and multi-client management at the base price, while Peekaboo positions these as agency-tier features
- Both tools lack content optimization capabilities -- they show you where you're invisible but don't help you fix it
- LLMrefs tracks 11 AI engines vs Peekaboo's 4 (ChatGPT, Perplexity, Gemini, Google AI Overviews), giving broader coverage
- Neither platform offers AI crawler logs, content gap analysis, or prompt intelligence features found in more comprehensive platforms
Overview
LLMrefs
LLMrefs
LLMrefs is an AI search analytics platform built for SEO teams and agencies who want to track keyword rankings and brand mentions across generative AI engines. Instead of manually creating hundreds of prompts, you enter keywords and LLMrefs automatically generates relevant prompts to test across 11 AI platforms including ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, Copilot, Meta AI, Grok, and others. The platform focuses on simplifying GEO tracking by treating it like traditional SEO -- you track keywords, not individual prompts. It includes competitor benchmarking, source citation analysis, and works across 50+ countries.
AI Peekaboo
Peekaboo is a basic AI visibility monitoring tool that tracks brand mentions across ChatGPT, Perplexity, Gemini, and Google AI Overviews. You manually select prompts to monitor, then Peekaboo shows you when and how AI models mention your brand. It offers simple dashboards and multi-client management for agencies. The platform positions itself as straightforward monitoring without the complexity of more feature-rich alternatives. Pricing isn't publicly disclosed, but based on market positioning it likely starts around $49-79/mo.
Side-by-Side Comparison
| Feature | LLMrefs | AI Peekaboo |
|---|---|---|
| Pricing | $79/mo (transparent) | Not disclosed (~$49-79/mo estimated) |
| Free trial | 7 days, no credit card | 7 days |
| AI engines tracked | 11 (ChatGPT, Perplexity, Claude, Gemini, AI Overviews, Copilot, Meta AI, Grok, AI Mode, more) | 4 (ChatGPT, Perplexity, Gemini, AI Overviews) |
| Prompt approach | Keyword-based with auto-generation | Manual prompt selection |
| Projects/domains | Unlimited | Not specified |
| Team seats | Unlimited | Multi-client management (agency feature) |
| Countries supported | 50+ | Not specified |
| Competitor benchmarking | Yes | Not specified |
| Citation analysis | Yes, source-level | Basic mention tracking |
| AI crawler logs | No | No |
| Content gap analysis | No | No |
| Prompt intelligence | No | No |
| Content generation | No | No |
Tracking approach: Keywords vs manual prompts
LLMrefs takes a keyword-first approach that feels familiar to anyone who's done traditional SEO. You enter a keyword like "winter surfing wetsuits" and the platform automatically generates relevant prompts to test across all 11 AI engines. This saves hours of manual prompt creation and makes it easy to scale tracking across hundreds of keywords. The trade-off is less control over exact prompt phrasing, but for most use cases the automated prompts cover the angles that matter.
Peekaboo requires you to manually select and track individual prompts. You pick specific questions like "Which team chat tool is best for a 10-person startup?" and monitor how AI models respond to that exact phrasing. This gives you precise control but becomes tedious when you want to track dozens or hundreds of variations. For agencies managing multiple clients, the manual approach doesn't scale well.
Verdict: LLMrefs wins on efficiency. The keyword-based approach is faster to set up and easier to scale, especially for agencies tracking multiple brands.
AI engine coverage
LLMrefs tracks 11 AI engines: ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, Microsoft Copilot, Meta AI, xAI Grok, Google AI Mode, and others. This broad coverage matters because different audiences use different AI tools -- enterprise users might default to Copilot, while consumers lean toward ChatGPT or Perplexity.
Peekaboo covers 4 engines: ChatGPT, Perplexity, Gemini, and Google AI Overviews. That's the core set most brands care about, but you're blind to what's happening in Claude (popular with developers), Copilot (enterprise), Meta AI (Facebook/Instagram users), and Grok (X/Twitter users).
Verdict: LLMrefs provides 2.75x more coverage. If you only care about the big four, Peekaboo might suffice. But LLMrefs gives you the full picture without costing more.
Pricing and value
LLMrefs is transparent: $79/mo gets you 500 prompts, unlimited projects, unlimited domains, and unlimited team seats. The 7-day free trial doesn't require a credit card. For agencies, the unlimited seats and projects mean you can onboard every client and team member without worrying about per-seat fees.
Peekaboo doesn't publish pricing on their website, which is always a red flag. Based on their market positioning and feature set, it likely starts around $49-79/mo, but you have to contact sales to find out. The lack of transparency suggests they're either still figuring out pricing or they want to negotiate case-by-case. Multi-client management is mentioned as an agency feature, which usually means it's gated behind a higher tier.
| Plan | LLMrefs | AI Peekaboo |
|---|---|---|
| Entry tier | $79/mo | ~$49-79/mo (estimated) |
| Prompts included | 500 | Not disclosed |
| Projects | Unlimited | Not disclosed |
| Domains | Unlimited | Not disclosed |
| Team seats | Unlimited | Likely limited or tiered |
| Free trial | 7 days, no CC | 7 days |
Verdict: LLMrefs offers better value transparency and includes unlimited seats/projects at the base price. Peekaboo's hidden pricing is frustrating and suggests you'll pay more for agency features.
Competitor benchmarking
LLMrefs includes competitor benchmarking as a standard feature. You can see how your brand's visibility compares to competitors across the same keywords and AI engines. This is table stakes for any serious GEO tool -- you need to know if you're winning or losing relative to the competition.
Peekaboo's website doesn't mention competitor tracking at all. The focus is entirely on monitoring your own brand mentions. For agencies pitching new clients or brands trying to justify GEO investment, the lack of competitive context is a problem.
Verdict: LLMrefs wins by default. Competitor data is non-negotiable for strategic decision-making.
What both tools are missing
Neither LLMrefs nor Peekaboo helps you actually improve your AI visibility -- they just show you the problem. You won't find AI crawler logs to see which pages AI models are reading, content gap analysis to identify missing topics, or prompt intelligence to prioritize high-value queries. Both platforms are monitoring-only dashboards.
If you want to close the loop from tracking to optimization, you need a platform that goes beyond monitoring. Promptwatch takes a different approach by showing you exactly what content is missing (Answer Gap Analysis), then helping you create it with an AI writing agent trained on 880M+ citations. You can track AI crawler activity in real-time, see which pages are being cited, and connect visibility to actual traffic with attribution tools.
For pure monitoring, LLMrefs and Peekaboo both work. But if you want to actually move the needle on AI visibility, you need optimization tools on top of tracking.
Agency and team features
LLMrefs includes unlimited team seats and unlimited projects at the base $79/mo price. This makes it straightforward for agencies to onboard every client and give access to the entire team without negotiating per-seat pricing. The platform is built with agencies in mind from the ground up.
Peekaboo mentions "multi-client management for agencies" as a feature, which typically means it's either a separate tier or comes with seat limits on the base plan. Without public pricing, it's hard to know what you're actually getting.
Verdict: LLMrefs is more agency-friendly out of the box. Unlimited seats and projects remove friction when scaling.
Ease of use and setup
LLMrefs' keyword-based approach means faster setup. You enter a list of keywords, the platform generates prompts automatically, and you're tracking within minutes. The interface feels like a traditional SEO tool, which reduces the learning curve for teams already doing keyword research.
Peekaboo requires manual prompt selection, which means more upfront work. You have to think through every variation of every question your audience might ask, then add them one by one. For a single brand with a narrow focus, this might be fine. For agencies managing 10+ clients, it's a time sink.
Verdict: LLMrefs is faster to set up and easier to scale. Peekaboo's manual approach works for small-scale monitoring but doesn't scale well.
Pros and cons
LLMrefs pros
- Transparent pricing with no hidden tiers
- Keyword-based approach is faster and more scalable than manual prompts
- Tracks 11 AI engines vs competitors' 4-5
- Unlimited team seats and projects at base price
- Competitor benchmarking included
- Works across 50+ countries
- 7-day free trial with no credit card required
LLMrefs cons
- No AI crawler logs or content optimization features
- No prompt intelligence or volume estimates
- Monitoring-only -- doesn't help you fix visibility gaps
- Less control over exact prompt phrasing vs manual entry
AI Peekaboo pros
- Simple interface focused on basic monitoring
- Manual prompt control for precise tracking
- 7-day free trial available
- Multi-client management for agencies (likely gated)
AI Peekaboo cons
- Pricing not publicly disclosed
- Only tracks 4 AI engines vs LLMrefs' 11
- Manual prompt entry doesn't scale well
- No competitor benchmarking mentioned
- No AI crawler logs or optimization features
- Unclear what's included at each pricing tier
Who should pick which tool
Pick LLMrefs if you're an SEO team or agency that wants to track AI visibility at scale. The keyword-based approach, unlimited seats/projects, and 11-engine coverage make it the better choice for most use cases. You get transparent pricing, faster setup, and more comprehensive tracking without paying extra for team access.
Pick Peekaboo if you only care about the big four AI engines (ChatGPT, Perplexity, Gemini, AI Overviews) and prefer manual control over every prompt. The lack of public pricing is a red flag, but if you're monitoring a single brand with a narrow focus, the simpler interface might appeal to you. Just be prepared to contact sales for pricing and potentially hit limits on seats or projects.
Neither tool is right if you want to actually improve your AI visibility, not just track it. For that, you need a platform with content gap analysis, AI crawler logs, and optimization tools -- not just a monitoring dashboard.
Final verdict
LLMrefs is the better choice for most teams. It costs $79/mo with transparent pricing, tracks 11 AI engines instead of 4, uses a keyword-based approach that scales better than manual prompts, and includes unlimited seats and projects at the base price. Peekaboo's hidden pricing, limited engine coverage, and manual prompt entry make it harder to justify unless you have very specific requirements around the big four engines.
Both tools are monitoring-only platforms that show you the problem but don't help you fix it. If you want to close the gap from tracking to optimization, look at platforms that include content gap analysis and AI crawler logs alongside visibility tracking.