Interactive quiz: is Mammouth AI right for you?
Four quick questions to find out whether the subscription is worth it in your case. Honest answer at the end.
1. What do you want from AI first?
- To use it daily: writing, researching, analysing (score 0)
- Both: to use it, and to have my brand visible inside it (score 1)
- To have ChatGPT, Claude or Gemini cite my brand in their answers (score 2)
2. How many AI models do you actually use?
- Several: I compare GPT, Claude and Mistral depending on the task (score 0)
- One is enough, usually ChatGPT (score 1)
- The model does not matter to me, what matters is what they say about my company (score 2)
3. What do you make of Mammouth AI's quota system?
- Acceptable: my usage is light, I will stay under the limits (score 0)
- Risky: I am a heavy user, I will hit them (score 1)
- Beside the point: an aggregator is not what I actually need (score 2)
4. Do you know whether AI engines already mention your brand?
- No idea, I have never checked (score 2)
- I have tried a few questions by hand (score 1)
- Not a concern for me (score 0)
Results
- Score 0–3: Mammouth AI could suit you. Personal use, several models, tight budget: that is exactly what Mammouth AI is for. Just keep an eye on the quotas if your usage grows. And if your brand ever needs to exist inside AI answers, that will be a different tool. CTA: See what AI says about my brand.
- Score 4–6: You are mixing two different needs. Using AI and being cited by it are two separate problems with two separate tools. Mammouth AI covers the first. For the second, start with a free audit: in a few minutes you will know whether ChatGPT, Claude or Gemini already talk about you. CTA: Run my free audit.
- Score 7–8: Your subject is AI visibility. What you are after is what the models answer when someone asks about your market. Citeme audits 5 AI engines, measures your citations against your competitors and tells you what to fix, from 59 € excl. VAT/month. CTA: Try Citeme for free.
There is an amusing paradox with Mammouth AI. This French startup promises to save you from technological extinction by centralising ChatGPT, Claude, Gemini and Mistral in a single interface for 10 euros a month. And while tens of thousands of users compare model answers for their personal use, very few realise they are looking at a preview of the decade's biggest marketing shift: what AI engines say about brands.
At Citeme we spend our days querying those same models through their APIs to measure who gets cited, who does not, and why. So when a French aggregator takes off by giving access to all those engines at once, we have an opinion. Here it is, in full, with the real pricing, the limits nobody advertises, and a reading of this tool you will not find anywhere else.
What exactly is Mammouth AI?
Mammouth AI is a French multi-AI aggregator launched in late 2024 by two entrepreneurs, Martial and Luc. The principle: one interface, one subscription, and access to the market's major models across text, image and video. GPT-5, Claude Opus and Sonnet, Gemini 3.1 Pro, Mistral Large, Grok, DeepSeek, and Perplexity Sonar for sourced web search. On the visual side: Midjourney, FLUX, Stable Diffusion, Recraft, and more recently video generation with Sora 2, Veo 3.1 and Kling 2.5.
The name is not an accident. The woolly mammoth died out for lack of adaptation. The message: in a market where the best model changes every couple of months, locking yourself into a single AI ecosystem means risking working with an outdated tool without noticing.
One technical point matters for what follows. Mammouth is not an AI model. It is an interface layer connected to the vendors' APIs (OpenAI, Anthropic, Google, Mistral, xAI and others). Answer quality therefore depends entirely on the underlying models. Mammouth only routes your requests and returns the answers in a unified interface.
In short: Mammouth AI is a French multi-AI aggregator founded in late 2024 that gives access to more than 15 premium models (GPT-5, Claude, Gemini, Mistral, Grok, DeepSeek) from 10 euros a month, through a single interface connected to the vendors' official APIs. It is a centralised access layer rather than a model of its own.
The features that make the difference
One-click reprompting
This is Mammouth's signature feature, and honestly the most useful. You send a prompt to Claude, the answer does not quite work, one click and the same prompt goes to GPT-5, then to Gemini. No copy-pasting, no tab switching, the comparison is immediate.
For anyone producing content, that is a real gain. Each model has its own personality: Claude excels at long, nuanced text, GPT at structured reasoning, Gemini at fast synthesis. Testing the same brief on three models in thirty seconds is exactly what a writer or a marketer should do systematically, and almost nobody does because of the friction.
Sourced web search
Added during 2025 through the Perplexity Sonar Pro integration, real-time web search fills what was the biggest gap at launch. You get up-to-date answers with their sources, directly in the interface. For monitoring or fact-checking, it works well.
Document analysis
Import of PDFs, images and text documents, with summaries, key-point extraction and question answering. One caveat: the character limit varies a lot by plan. On Starter, expect around 10,000 characters, which is two to three pages. Higher plans go up to a million characters. If your daily work is analysing 50-page reports, the entry plan will not do.
Custom projects
You configure assistants with a predefined context: your role, your sector, your tone, your constraints. The assistant remembers it in every conversation. One project for writing, one for customer support, one for analysis. It is the light equivalent of Claude Projects or OpenAI GPTs, in a simplified form.
Image and video generation
Several generators reachable from the same interface, with the same reprompting logic for comparing outputs. The arrival of video (Sora 2, Veo 3.1, Kling 2.5) in 2025-2026 widened the creative ground considerably, even if video quotas stay tight on the smaller plans.
Mammouth AI pricing in 2026
The official grid is built around three individual plans and a team offer, all without commitment. The prices below are the ones shown excluding tax on Mammouth's pricing page; add VAT according to your country.
| Plan | Price | Who it is for | What changes |
|---|---|---|---|
| Starter | 10 €/month | Moderate daily use | Around 50 premium messages per 3-hour window, limited image and document quotas |
| Standard | 20 €/month | Heavy users | Three times Starter's usage on reasoning models, documents and images |
| Expert | 60 €/month | Power users and very heavy use | Ten times Starter's usage |
| Team | On request | Teams and companies | Admin console, centralised billing, shared projects, SSO above 100 seats |
The break-even maths is simple. A ChatGPT Plus subscription costs around 20 dollars, Claude Pro the same, Perplexity Pro another 20. Anyone stacking two or three native subscriptions pays 40 to 60 euros a month. Mammouth Starter divides that bill by four to six. On paper, it is unbeatable.
On paper only, because you have to read the quota line.
Our review: the real limits of Mammouth AI
The quota system, the real hidden price
Mammouth pays the actual API cost on every request you send. To hold its entry price, the platform applies a credit system that renews in hourly windows. On Starter, around 50 premium messages every 3 hours. Once the quota runs out you are automatically switched to lighter models, and the warning is not always clear.
In real use, a sustained writing session can burn the quota in 90 minutes to 2 hours. For someone using AI occasionally, that ceiling never shows. For an SEO writer, a developer or a consultant running requests all day, it quickly becomes the number one subject.
No free trial
You have to get your card out to test it. That is the criticism that comes up most often on Trustpilot, where the rating sits at 2.6/5 across around forty reviews in early 2026, split between users won over by the value and users disappointed by the quotas. A 14-day refund is provided for in the terms of sale, but for a product positioned on accessibility, the absence of a trial remains a paradox.
Raw API access, without the native features
This is the point buyers misunderstand most. Mammouth gives you access to the models, not to the platforms. Concretely, you will have neither Claude's Artifacts and persistent memory, nor ChatGPT's custom GPTs and Canvas mode, nor the advanced autonomous agents. You gain variety and you lose depth.
For varied, moderate use the trade-off is broadly favourable. For intensive, specialised use of a single model, the native subscription remains more relevant. You also have to accept a slight delay: the very latest models sometimes arrive a week after their official release.
In short: Mammouth AI offers unbeatable value for varied, moderate use (10 €/month for 15+ premium models), but three limits shape the experience: hourly quotas of around 50 premium messages per 3 hours on the Starter plan, the absence of a free trial, and access to raw APIs without each platform's native features such as Claude's Artifacts or OpenAI's GPTs.
What Mammouth AI reveals without meaning to: your visibility in AI answers
And now the angle other Mammouth reviews never touch.
Try this. Open Mammouth, type the question your prospects ask AI about your market ("what is the best software for X", "which agency should I choose for Y"), and send it to GPT-5, Claude, Gemini and Perplexity with reprompting. Look at who gets cited across the four answers.
If your brand appears nowhere, you have just found your real visibility problem for 2026. Every day, millions of users (Mammouth's among them) put their buying questions straight to AI engines, and the answers cite a handful of sources. Being in that handful or not is the new search ranking. That is exactly what Generative Engine Optimization, or GEO covers.
The catch is that this manual test in Mammouth has three fundamental flaws:
- Reproducibility is the first problem. LLM answers vary from one run to the next. A citation seen on a Tuesday can be gone by Thursday. A one-off test does not measure anything; it photographs.
- It does not scale either. Your prospects do not ask one question, they ask dozens of variants. Nobody tests 30 prompts across 5 engines by hand every week.
- And it leaves you no next step. Noticing that Perplexity cites your competitor and not you is useful. Knowing which page to rewrite, which schema to add and which content to create to reverse it is the actual work.
That is precisely Citeme's job: a multi-model GEO audit that queries ChatGPT, Claude, Gemini, Perplexity and Grok through their official APIs on your prospects' questions, measures who gets cited audit after audit, and condenses it into a GEO Score out of 100 you track week after week. With competitor monitoring and alerts when you lose a citation on top, then Actions workflows that fix and publish the optimisations for you.
Put another way: Mammouth makes you consume AI engines. Citeme makes you exist inside them. The two tools are not competitors, they are two sides of the same shift.
In short: manually testing your brand's visibility in Mammouth AI gives a snapshot of your AI citations, but not a reproducible one. A reliable measurement means querying the 5 engines repeatedly across dozens of prompts, smoothing out the non-determinism of LLMs and tracking the change over time, which is the job of a dedicated GEO tool such as Citeme.
Who Mammouth AI is for (and who it is not for)
After several months watching the aggregator market, our position is clear: Mammouth is one of the best AI deals of 2026 for one specific profile, and a poor choice for another.
Mammouth is for you if:
- You juggle 2 or 3 AI tools and are tired of paying 40 to 60 euros in stacked subscriptions
- You like comparing answers across models before choosing (writing, brainstorming, analysis)
- You want a French, GDPR-compliant solution with a fully French interface, a real argument for companies handling sensitive data
- Your usage is regular but moderate: a few dozen requests a day, split between text and image
Look elsewhere if:
- You are a heavy user of a single model and depend on its native features (Artifacts, GPTs, agents)
- You analyse very long documents daily on the entry plan
- You want to test before paying: there is no free trial
- Your real need is not consuming AI but measuring what it says about your brand. In that case a one-off test in Mammouth will never replace structured tracking, and a GEO agency or a dedicated platform will be a far better investment
Conclusion
Mammouth AI delivers on its main promise: democratising access to the best AI models for the price of a Netflix subscription. One-click reprompting is a genuine usage innovation, the model coverage is among the most complete on the market, and the French GDPR angle is a serious asset in enterprise. The hourly quotas and the missing native features are the price, owned and coherent, of that positioning.
But if you are a marketer, a founder or an SEO lead, take away this above all: every answer Mammouth displays to its users cites brands. The question is whether your company appears in those answers. That matters more than the 10 euros. And that can be measured. Seeing which AI bots already read your site is often the first jolt: GPTBot, ClaudeBot and PerplexityBot are probably visiting your pages right now.
Audit your AI visibility for free on Citeme: paste your URL, we query the 5 engines, and in a few minutes you will know who AI cites in your market. You, or your competitors.
Is Mammouth AI free?
No, and that is the criticism levelled at it most often. Mammouth AI offers neither a free plan nor a trial period, unlike most of its competitors. The entry-level Starter plan starts at 10 euros a month excluding tax, without commitment, with a refund possible within fourteen days under the terms of sale. Add VAT according to your country. The positioning holds up as soon as you compare it to the stacked cost of individual subscriptions: a ChatGPT Plus and a Claude Pro together come to around forty euros a month, while Mammouth gives access to both model families for a quarter of that. The lack of a trial remains a real obstacle for anyone wanting to check that the quotas match their usage before paying.
Which AI models are available on Mammouth AI?
The catalogue covers the market's main text models: GPT-5, Claude Opus and Sonnet, Gemini 3.1 Pro, Mistral Large, Grok, DeepSeek, plus Perplexity Sonar for sourced web search. On the image side you get Midjourney, FLUX, Stable Diffusion and Recraft. Video generation arrived in 2025-2026 with Sora 2, Veo 3.1 and Kling 2.5, though video quotas stay tight on the smaller plans. The list changes regularly, which is precisely the tool's argument: when the best model changes every couple of months, an aggregator keeps you from locking into a single ecosystem. One technical point to keep in mind: Mammouth is an interface layer sitting on the vendors' official APIs. Answer quality therefore depends entirely on the underlying models.
Can Mammouth AI replace a ChatGPT Plus or Claude Pro subscription?
For varied, moderate use, yes, and at half the price. For intensive use of a single model, no. Mammouth gives access to the vendors' raw APIs, without the native features that make up part of the value of direct subscriptions: Claude's Artifacts, OpenAI's custom GPTs and ChatGPT's Canvas mode do not exist here. On top of that come hourly quotas on premium models, around fifty messages per three-hour window on the Starter plan. Mammouth's custom projects offer a simplified equivalent of Claude Projects, with a predefined context the assistant keeps from one conversation to the next, but the comparison stops there. The real argument remains one-click reprompting, which sends the same prompt to three models in seconds.
Is Mammouth AI GDPR-compliant?
Yes. Mammouth AI is a French company, founded in late 2024 by two entrepreneurs, Martial and Luc, and it highlights its GDPR compliance. Your data is not used to train the models, and exchanges pass through the vendors' official APIs rather than an opaque intermediate infrastructure. That is a serious argument for professionals handling client information, contractual documents or health data, who cannot pour those contents into a consumer interface. One nuance though: Mammouth's compliance does not automatically extend to the underlying vendors, whose processing policies vary from country to country. If your regulatory framework is strict, take the time to check, model by model, where the processed data is hosted and what contractual guarantees each provider actually applies.
Can you use Mammouth AI to check whether AI cites your brand?
Partly, and it is a rather clever off-label use. Reprompting lets you send the same question to GPT-5, Claude, Gemini and Perplexity in seconds, then compare the brands each one cites. Ask the questions your prospects actually ask, of the "what are the best tools for X" kind, and you will immediately see whether you appear, or which competitor appears in your place. The limit is the limit of any manual test: a query asked on a given day says nothing about a trend, because answers vary from one run to the next and from one week to the next. A reliable measurement needs dozens of prompts repeated over time across several engines, which is what a dedicated GEO tool such as Citeme does with its multi-model audit and its GEO Score.