ALLMO vs Peec AI

1. Personal onboarding and support on every ALLMO plan; Peec is self-serve until Enterprise

The hard part of AI visibility is not the dashboard. It is setting up the right tracking, choosing prompts that reflect how your buyers actually search, and knowing what actions to take from the results.

ALLMO combines the software with personal guidance. Every plan, including the €30 plan, starts with a personal onboarding session where ALLMO sets up your tracking and prompt set with you. From there, ALLMO checks in on your results based on your needs, helps you interpret what the data means, and is available directly when questions come up.

OMR Reviews confirms it independently: OMR Reviews ranked ALLMO best in category for Customer Support in its 2026 SEO and GEO software guide, one of two categories it came first in.

Peec’s Starter, Pro and Advanced plans are primarily self-serve, with chat support and custom onboarding starting at Enterprise. That can work well if you already know how you want to structure your AI visibility tracking. If you are just getting started with GEO, as most teams are, ALLMO puts more guidance around the setup, the prompts you track, and what you do with the results.

It is the difference most likely to be invisible while you compare feature lists, and obvious six weeks in.

(Image source: OMR Reviews 2026; highlight by the author)

2. ALLMO is easier to start with

ALLMO’s Starter plan is €30 a month. Peec’s starts at €85. That lower entry point makes it easier to start measuring AI visibility before you have fully figured out what your ideal GEO setup looks like.

That matters because most teams learn as they go. You may start with a broader set of prompts, test different models, and then focus your tracking once you understand where your brand actually shows up and which queries matter most.

The two platforms also give you different levels of flexibility. Peec fixes three models and daily tracking on every self-serve plan. ALLMO gives you a monthly allowance of AI answers and lets you decide how to use it across models, prompts, locations, languages, and tracking frequency. You can build the tracking setup and schedule that fits your business rather than adapting your strategy to a fixed configuration.

And starting small does not mean staying small. ALLMO’s higher plans run on the same platform at larger volumes, so you can expand your tracking as your GEO program grows without having to switch tools or rebuild your setup.

3. Peec covers more search surfaces; ALLMO focuses on the AI assistants that matter most

Peec has the longer model list, and most of it sits behind an enterprise contract. Its self-serve plans pick three surfaces from a pool of six; Qwen, DeepSeek and Meta Spark arrive at Enterprise. So the headline count is a weaker signal than it looks. What decides this is which assistants your buyers use, and which plan you have to be on to see them.

ALLMO covers the assistants that carry the most weight in a buying decision today, in roughly that order: ChatGPT, Gemini, Perplexity, then Claude. The first three are on every plan, alongside Grok and Mistral. Claude costs more to run, so it starts at €90 on Growth.

Past those, the long tail splits rather than favours either tool. Grok and Mistral come with ALLMO’s entry plan; Qwen and Meta Spark are Peec’s, at Enterprise. If a specific niche model is on your list, check which side has it, but neither list should be what decides this.

The biggest difference is Google. Peec separately tracks Google AI Overviews and AI Mode. ALLMO instead focuses on Gemini, Google’s native AI assistant. The goal is not to recreate traditional Google rank tracking for a new interface on the traditional Google Search Domain, but to understand and improve how brands appear when people search and research through AI assistants.

If you want the broadest possible list of search surfaces and models, Peec has the advantage. If your priority is the AI assistants most relevant to AI-native discovery, ALLMO keeps the focus there.

4. Peec and ALLMO add different specialist features beyond tracking

Beyond the core tracking features, both platforms have a much longer list of specialist tools.

Peec includes features such as Local GEO, brand perception and attribute scoring, visibility lift prediction, shareable dashboards, a Data Studio connector, AI referral tracking, and its AI Shopping module.

ALLMO has its own set of specialist features, including Warm-Up for accelerated crawling, AI Page Index, GEO Agents, Knowledge Gap and Content Ideas, Co-Mentions, and YouTube tracking to identify the videos and channels influencing AI answers.

This is one area where the feature lists are difficult to compare on paper. Some features will matter a lot for your use case and others not at all. The best way to judge it is to try both platforms and see which set of additional features is actually more useful for your team.