Peec AI vs LLMrefs (2026): Which AI visibility tracker is better?

Key Takeaways

• Peec AI starts at €89/mo with a cleaner interface focused on brand performance metrics (visibility, sentiment, position), while LLMrefs starts at $79/mo with deeper keyword-level tracking and citation analysis
• LLMrefs covers more AI models (8+) including Google AI Overviews, Copilot, Meta AI, and Grok -- Peec AI focuses on ChatGPT, Perplexity, and Gemini
• Peec AI offers multi-language support and country-level tracking out of the box, which LLMrefs doesn't emphasize as strongly
• Both are monitoring-only platforms -- neither offers content generation, crawler log analysis, or optimization tools like Promptwatch does
• LLMrefs attracts larger enterprise clients (eBay, IKEA, HubSpot), while Peec AI targets mid-market brands and agencies with a simpler feature set
• If you need broad AI model coverage and keyword-focused tracking, pick LLMrefs. If you want brand-level metrics with multi-language support and a friendlier UI, pick Peec AI.

Overview

Peec AI

Peec AI is a European AI search analytics platform (pricing in euros) that helps marketing teams track how their brand performs across ChatGPT, Perplexity, and Gemini. It organizes tracking around three core metrics: visibility (share of mentions), position (ranking within responses), and sentiment (how the brand is portrayed). The platform emphasizes clean dashboards, competitor benchmarking, and multi-language/multi-country tracking. Peec AI is used by 1,500+ marketing teams and agencies, with a freemium model starting at €89/mo for the Starter plan.

LLMrefs

LLMrefs is an AI search analytics platform built for SEO teams and agencies that need keyword-level tracking across a wider range of AI models. It monitors ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, Copilot, Meta AI, and Grok. LLMrefs automatically generates prompt variations from real conversations, tracks citations and rankings for each keyword, and benchmarks competitors. The platform is used by enterprise brands like eBay, IKEA, HubSpot, Gymshark, and The Washington Post. Pricing starts at $79/mo.

Side-by-Side Comparison

AI model coverage

LLMrefs wins on breadth. It tracks eight major AI models: ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, Copilot, Meta AI, and Grok. This matters if your audience uses a mix of AI assistants or if you're trying to understand which platforms favor your brand.

Peec AI focuses on three: ChatGPT, Perplexity, and Gemini. That's enough for most teams -- these three handle the majority of AI search volume in 2026 -- but if you need visibility into Microsoft Copilot (enterprise users) or Google AI Overviews (organic search integration), Peec AI doesn't cover them.

Verdict: LLMrefs for comprehensive coverage, Peec AI if you only care about the big three.

Core metrics and dashboards

Peec AI organizes everything around three metrics:

• Visibility: percentage of prompts where your brand appears
• Position: average ranking within AI responses (lower is better)
• Sentiment: how positively or negatively the brand is portrayed

The dashboards are clean and visual. You see trend lines, competitor comparisons, and breakdowns by prompt tag. It's designed for marketing teams who want a quick read on brand health without digging into raw data.

LLMrefs takes a keyword-first approach. You track specific keywords ("winter surfing wetsuits", "best CRM for startups"), see where your brand ranks for each, and analyze which sources/citations AI models pull from. The platform auto-generates prompt variations based on real user conversations, so you're not guessing which phrasings matter. This is closer to traditional SEO rank tracking but applied to AI search.

Verdict: Peec AI for brand-level monitoring, LLMrefs for keyword-level SEO work.

Prompt tracking and organization

Both platforms let you add custom prompts and organize them with tags.

Peec AI emphasizes simplicity: add your prompts, tag them by category (product, competitor, industry), and track across all countries. The interface shows recent chats and lets you drill into specific responses.

LLMrefs goes deeper with automatic prompt generation. Feed it a seed keyword and it creates variations based on how real users phrase questions. This saves time and catches long-tail prompts you wouldn't think to track manually. The trade-off is more complexity -- you're managing a larger set of prompts and variations.

Verdict: Peec AI for straightforward tracking, LLMrefs if you want automated prompt discovery.

Multi-language and geo tracking

Peec AI highlights multi-language and multi-country support as core features. You can track how your brand performs in different languages and regions, which matters for global brands or agencies managing international clients.

LLMrefs doesn't emphasize this in its marketing. It likely supports different languages (the underlying AI models do), but it's not positioned as a differentiator.

Verdict: Peec AI if you need explicit multi-language/geo capabilities.

Citation and source analysis

Both platforms track which sources AI models cite when mentioning your brand.

Peec AI shows sources in the dashboard with links to the original content. You can see which pages, articles, or domains are driving your visibility.

LLMrefs provides detailed citation tracking as part of its keyword analysis. For each prompt, you see which URLs the AI pulled from, how often they appear, and how they compare to competitor citations. This is useful for understanding what content to create or optimize.

Verdict: Roughly equal, with LLMrefs slightly more granular.

Competitor benchmarking

Peec AI's dashboards include visual competitor comparisons. You see your visibility, sentiment, and position stacked against competitors in bar charts and trend lines. It's designed for quick executive-level reads.

LLMrefs benchmarks competitors at the keyword level. You see who ranks where for each prompt and which sources they're getting cited from. This is more tactical -- useful for identifying gaps and opportunities.

Verdict: Peec AI for high-level brand comparisons, LLMrefs for keyword-by-keyword competitive analysis.

What's missing from both

Neither Peec AI nor LLMrefs helps you act on the data. They show you where you're visible (or invisible), but they don't:

• Generate content optimized for AI search
• Analyze what's missing from your website (content gap analysis)
• Track AI crawler behavior (which pages AI models read, how often, errors)
• Attribute traffic or conversions back to AI visibility

If you want to close the loop from monitoring to optimization, Promptwatch covers those angles with content generation, crawler logs, and traffic attribution.

Pricing comparison

Peec AI's pricing is transparent: €89/mo for Starter, €199/mo for Professional, custom for Enterprise. The euro pricing suggests it's built for European markets.

LLMrefs starts at $79/mo but doesn't publish a full pricing page. You'll need to contact sales for mid-tier and enterprise plans. The client list (eBay, IKEA, HubSpot) suggests higher-tier pricing for larger teams.

Verdict: Peec AI for transparent pricing, LLMrefs if you're enterprise and willing to negotiate.

Pros and cons

Peec AI pros

• Clean, intuitive interface designed for marketing teams
• Multi-language and multi-country tracking built in
• Transparent pricing with a lower entry point (€89/mo)
• Strong focus on brand-level metrics (visibility, sentiment, position)
• Used by 1,500+ teams and agencies

Peec AI cons

• Only tracks three AI models (ChatGPT, Perplexity, Gemini)
• No content generation or optimization tools
• Less granular keyword-level tracking than LLMrefs
• Smaller enterprise client base

LLMrefs pros

• Tracks eight AI models including AI Overviews, Copilot, Meta AI, Grok
• Automatic prompt variation generation from real conversations
• Detailed keyword-level rankings and citation analysis
• Used by major enterprise brands (eBay, IKEA, HubSpot, Gymshark)
• Strong SEO-focused feature set

LLMrefs cons

• Pricing not fully transparent beyond $79/mo entry
• More complex interface -- steeper learning curve
• Multi-language/geo support not emphasized
• No content generation or crawler analysis

Who should pick which tool

Pick Peec AI if:

• You're a marketing team or agency that needs a simple, visual dashboard
• You care about brand-level metrics (visibility, sentiment, position) more than keyword rankings
• You manage multi-language or multi-country campaigns
• You want transparent pricing and a lower entry point
• ChatGPT, Perplexity, and Gemini cover your needs

Pick LLMrefs if:

• You're an SEO team or agency doing keyword-level tracking
• You need coverage across eight AI models including AI Overviews and Copilot
• You want automatic prompt generation based on real user conversations
• You're working with enterprise budgets and clients
• You need detailed citation and source analysis for competitive research

Pick Promptwatch if:

• You want to go beyond monitoring and actually optimize your AI visibility
• You need content gap analysis and AI-generated articles that rank in AI search
• You want to track AI crawler behavior and fix indexing issues
• You need traffic attribution to connect AI visibility to revenue

Final verdict

LLMrefs is the better choice for SEO teams and agencies that need comprehensive AI model coverage and keyword-level tracking. It's built for people who think in terms of rankings, citations, and competitive gaps. The enterprise client list backs this up -- if you're managing AI visibility for a large brand, LLMrefs has the depth.

Peec AI is the better choice for marketing teams that want a straightforward brand monitoring tool with multi-language support and a clean interface. It's easier to onboard, more transparent on pricing, and focused on the metrics non-SEO teams care about: visibility, sentiment, and position.

Both are solid monitoring platforms, but neither helps you create content or optimize what you already have. For that, you need a platform like Promptwatch that closes the loop from tracking to action.