Key takeaways
- Peec.ai is a solid monitoring tool with flexible model selection, but it stops at data — there's no content generation or gap analysis to act on what you find.
- Qwairy covers the broadest range of AI models (10+ providers, 38+ individual models) and includes a content studio, backlink marketplace, and MCP Server from €59/month.
- Promptwatch is the only platform in this comparison rated a "Leader" across all GEO categories in 2026, combining monitoring with Answer Gap Analysis, AI content generation, crawler logs, and traffic attribution in a single loop.
- If your goal is just to see numbers, any of these three will work. If your goal is to actually improve your AI visibility, the platform you choose matters a lot.
The GEO platform market got crowded fast. In 2024, there were maybe a dozen tools worth evaluating. By early 2026, that number is closer to 50. Most of them do roughly the same thing: they send prompts to ChatGPT, Perplexity, and Gemini, check whether your brand appears, and show you a dashboard.
The question isn't whether a tool can monitor. It's whether it can help you do something about what it finds.
This comparison focuses on three platforms that came up repeatedly in 2025 as genuine contenders for marketing teams building a GEO strategy: Peec.ai, Qwairy, and Promptwatch. They're different enough to be worth comparing directly, and similar enough that the differences actually matter.
What each platform is trying to do
Before getting into features, it helps to understand the philosophy behind each tool.
Peec.ai positions itself as a flexible, multi-model tracker. Its selling point is that you can pick which AI models to monitor and add more as add-ons, which keeps the base price lower and lets teams customize coverage. It's built for teams that want clean, consistent data across models without a lot of extra complexity.
Qwairy is trying to be the most comprehensive platform in the category. It covers more AI models than any competitor (38+ individual models across 10+ providers), and it bundles in a content studio, backlink marketplace, and MCP Server. The pitch is breadth: one platform that handles everything from monitoring to content creation to link building.
Promptwatch takes a different angle. Rather than competing on breadth of model coverage or feature count, it's built around a specific workflow: find the gaps in your AI visibility, create content to fill them, and track whether that content gets cited. It's less of a dashboard and more of an optimization engine.
AI model coverage
This is where the three platforms diverge most clearly.
Peec.ai covers up to 10 models, but several are add-ons rather than included by default. ChatGPT and Perplexity are standard; Claude, Gemini, and others require additional spend. For teams on tighter budgets, this means you're often choosing which models to track rather than tracking all of them.
Qwairy covers 10+ providers with 38+ individual models, which is the widest coverage available in 2026. Every major model is included without add-on fees, and they track sub-models (GPT-4o vs GPT-4 Turbo, for example) separately, which gives you more granular data.
Promptwatch monitors 10 AI models: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta/Llama, DeepSeek, Grok, Mistral, and Copilot. All are included across plans, no add-ons required. It doesn't track sub-models the way Qwairy does, but for most marketing teams, model-level tracking is sufficient.
The monitoring layer: what you actually see
All three platforms track brand mentions, citation rates, and share of voice across AI models. The dashboards are different in feel but similar in function.
Peec.ai's interface is clean and focused. You get mention tracking, sentiment analysis, and competitor comparisons. The unlimited seats policy is genuinely useful for agencies or larger teams where multiple people need access. The data is reliable and the reporting is straightforward.
Qwairy's dashboard is more dense. You get competitor heatmaps, share of voice by model, and visibility trends over time. The MCP Server integration is interesting for teams that want to pipe data into other tools or build custom workflows. The breadth of model coverage means you're rarely missing a blind spot.
Promptwatch's monitoring layer includes page-level tracking (which specific pages are being cited, by which models, and how often), competitor heatmaps, and prompt-level data including volume estimates and difficulty scores. The query fan-out feature shows how a single prompt branches into sub-queries, which helps prioritize which topics to target. It also tracks Reddit threads and YouTube videos that AI models cite, which neither Peec.ai nor Qwairy does.
One feature that's genuinely rare: Promptwatch logs AI crawler activity in real time. You can see when ChatGPT's crawler, Claude's crawler, or Perplexity's crawler visits your site, which pages they read, and whether they encounter errors. This matters because AI models can only cite content they've actually crawled. If your pages aren't being visited, they won't be cited, and most platforms have no way to surface that problem.
The gap between monitoring and optimization
Here's where the comparison gets interesting.
Peec.ai and Qwairy are both strong monitoring platforms. They show you where you are. What they don't do particularly well is help you get somewhere better.
Qwairy has a content studio, which is a meaningful differentiator over Peec.ai. But the content studio is more of a writing aid than a gap-analysis-to-content pipeline. You're still doing the strategic work of figuring out what to write.
Promptwatch is built around what it calls the Action Loop: find gaps, create content, track results.
The Answer Gap Analysis shows you exactly which prompts your competitors are visible for that you're not. Not vague topic areas, but specific questions and prompts where you're absent. That's the input. The output is an AI writing agent that generates articles, listicles, and comparisons grounded in citation data from 880M+ analyzed citations, prompt volumes, and competitor analysis. The content isn't generic, it's engineered to match what AI models are already citing in your category.
Then you track whether the new content gets cited, and by which models. The loop closes when you can connect a piece of content to an improvement in visibility, and eventually to actual traffic through GSC integration, a code snippet, or server log analysis.
Most GEO platforms stop at step one. Promptwatch is designed to run all three steps continuously.
Feature comparison table
| Feature | Peec.ai | Qwairy | Promptwatch |
|---|---|---|---|
| AI models covered | Up to 10 (some add-ons) | 10+ providers, 38+ models | 10 models, all included |
| Brand mention tracking | Yes | Yes | Yes |
| Competitor heatmaps | Yes | Yes | Yes |
| Share of voice | Yes | Yes | Yes |
| Prompt volume data | No | Limited | Yes |
| Query fan-outs | No | No | Yes |
| Answer gap analysis | No | No | Yes |
| AI content generation | No | Yes (content studio) | Yes (engineered for citations) |
| AI crawler logs | No | No | Yes (Professional+) |
| Reddit/YouTube tracking | No | No | Yes |
| ChatGPT Shopping tracking | No | No | Yes |
| Traffic attribution | No | No | Yes (GSC, snippet, logs) |
| Unlimited seats | Yes | No | No |
| Backlink marketplace | No | Yes | No |
| MCP Server | No | Yes | No |
| Starting price | €85/mo | €59/mo | $99/mo |
| Free trial | Yes | Yes | Yes |
Pricing breakdown
Peec.ai starts at €85/month with unlimited seats, which makes it attractive for agencies managing multiple users. The add-on model for AI providers means your actual cost depends on how many models you want to track.
Qwairy starts at €59/month, which is the lowest entry point of the three. At that price, you get 10+ AI providers with no per-provider surcharges, which is good value. Higher tiers unlock more prompts, more competitors, and more content studio usage.
Promptwatch has three main tiers: Essential at $99/month (1 site, 50 prompts, 5 articles), Professional at $249/month (2 sites, 150 prompts, 15 articles, plus crawler logs and city-level tracking), and Business at $579/month (5 sites, 350 prompts, 30 articles). Annual billing reduces these prices. Agency and enterprise pricing is available on request.
The pricing reflects the different philosophies. Peec.ai charges for model coverage. Qwairy charges for scale. Promptwatch charges for the full optimization workflow, including content generation that the other two don't offer in the same way.
Which platform actually moved the needle in 2025?
This is the real question, and the honest answer is: it depends on what "moving the needle" means to your team.
If you define success as having accurate, reliable data on where your brand appears across AI models, Peec.ai and Qwairy both deliver. Peec.ai's flexibility is useful if you're budget-constrained. Qwairy's model breadth is useful if you want the most complete picture possible.
If you define success as actually improving your AI visibility, the data alone isn't enough. You need to know what content to create, create it, and verify that it's working. That's the workflow Promptwatch is built around, and it's why it's the only platform in this comparison rated a "Leader" across all GEO categories in a 2026 comparison of 12 platforms.
The brands that saw real visibility gains in 2025 weren't the ones with the best dashboards. They were the ones that used their monitoring data to drive content decisions, published content that AI models actually wanted to cite, and tracked the results closely enough to iterate. That loop is harder to run with a monitoring-only tool.
Who should use each platform
Peec.ai is a good fit for teams that want clean, multi-model monitoring without a lot of complexity. The unlimited seats policy makes it practical for agencies. If you already have a content strategy and just need reliable data to inform it, Peec.ai covers the basics well.
Qwairy is worth considering if model breadth is a priority. Tracking 38+ individual models gives you data that no other platform matches, and the backlink marketplace and MCP Server add capabilities that are genuinely unique. If you're building a sophisticated GEO stack and want a single platform to anchor it, Qwairy's feature set is hard to beat on paper.
Promptwatch makes the most sense for teams that want to close the loop between monitoring and results. The Answer Gap Analysis, AI content generation, crawler logs, and traffic attribution aren't features you'll find bundled together anywhere else. If you're accountable for improving AI visibility, not just reporting on it, that's the workflow you need.
A note on what the market looks like now
The GEO platform category is still shaking out. Most tools that launched in 2024 are monitoring dashboards with varying levels of polish. A smaller number are trying to build optimization workflows on top of the monitoring layer.
The distinction matters more than it might seem. Monitoring tells you where you are. Optimization tells you how to get somewhere better. In traditional SEO, these were separate categories (rank trackers vs content tools). In GEO, the best platforms are trying to collapse them into one workflow.
That's the direction the market is moving, and it's why the gap between monitoring-only tools and optimization platforms will probably widen through 2026. Peec.ai and Qwairy are good at what they do. But if what you need is a platform that doesn't just show you the problem but helps you solve it, the comparison gets shorter quickly.