GEO Strategy
Beyond ChatGPT and Gemini: The LLM Ecosystem Your Brand Is Ignoring (2026)
# Beyond ChatGPT and Gemini: The LLM Ecosystem Your Brand Is Ignoring (2026)
Almost everyone working on GEO optimizes for ChatGPT and, at most, Gemini and Perplexity. Meanwhile, a second tier of models drives billions of queries a month across specific regions and niches — and competition to appear in them is nearly zero. Grok lives inside X with around 117 million users of its AI features. Meta AI, built on the Llama models, exceeds 1.2 billion monthly active users, with 63% of interactions happening inside WhatsApp. China's open-weights models — Qwen and DeepSeek — already account for roughly 30% of global AI downloads. And Mistral has become Europe's sovereign alternative for large enterprises.
This post is the map: what each one is, who uses it, how it finds information, and — most importantly — which ones you should pay attention to based on your business. The goal isn't to optimize five times, but to know where your buyer is and take advantage of the fact that almost no one is competing there yet.
Why Look Beyond ChatGPT and Gemini
The conversational AI market is no longer two names. Three reasons to widen your focus:
Open weights. Llama, Qwen and DeepSeek are open-weights models: any company can embed them in its own product. They don't live only in their official apps but inside thousands of assistants, support chatbots and third-party tools. Appearing "in Llama" means appearing across an entire ecosystem.
Regional and vertical concentration. Each model dominates a territory: WhatsApp and Spanish-speaking markets for Meta AI, China and Asia for Qwen, regulated European enterprises for Mistral, X's real-time conversation for Grok. They don't compete for the same user.
Opportunity. Outside ChatGPT, competition for GEO visibility is minimal. Brands that position themselves now in these channels do so with virtually no rivals.
Grok (xAI): Real Time and the X Conversation
Grok is xAI's model, integrated directly into X. According to SpaceX's IPO filing, as of March 2026 it had around 117 million users of Grok features within a universe of 550 million X+Grok users.
Its unique trait is how it finds information: it combines real-time X posts with open web search and returns citations from both sources. No other model has native access to X's public conversation.
Who uses it: X's audience, skewing toward current events, news, finance, crypto, politics and technology, with a strong US presence. Implication for your brand: what's said about you on X feeds Grok directly. If your category is discussed on X (B2B tech, finance, media), mentions and recent discourse on the platform are your main lever.
Meta AI on Llama: The Giant Inside WhatsApp
Meta AI is Meta's assistant, built on the Llama models and embedded in WhatsApp, Instagram, Facebook and Messenger. It exceeds 1.2 billion monthly active users (Q1 2026), with 63% of interactions happening inside WhatsApp. India leads usage with around 142 million monthly active users.
Why it matters especially for Spanish-speaking brands: WhatsApp is the dominant messaging channel in Spain and across LATAM. Your B2C customer has Meta AI one tap away, inside the chat they already use every day, with nothing to install and no app to switch to.
And there's a second layer: Llama, with more than 1 billion downloads, is open-weights and powers countless third-party products. Optimizing for Llama means optimizing for an ecosystem, not a single interface. Implication: if you sell B2C, local or mass-market in WhatsApp markets, this is the massive channel almost no one is working yet. Especially relevant for ecommerce and online brands.
DeepSeek and Qwen: China's Open Models That Are Already 30% of the World
DeepSeek and Qwen (from Alibaba) are open-weights models. Together, China's open models account for roughly 30% of global AI downloads, ahead of the United States (15.7%). Qwen reports more than 100 million monthly active users and is integrated with Taobao commerce; DeepSeek has strong adoption in emerging markets (its usage in Africa is estimated at 2 to 4 times higher than in other regions) and, alongside Qwen, dominates much of the coding-token volume on platforms like OpenRouter.
Who uses them: Asia, emerging markets and — crucially — developers worldwide, because being open and cheap they've become the default engine of many tools and IDEs. Implication: if you sell in Asia or emerging markets, or if your category is technical or developer-facing, these models affect you even if they don't have a famous "brand app" in your country. It's relevant ground for SaaS and technology.
Mistral: Europe's Sovereign Alternative for Enterprise
Mistral is the European (French) bet, with its Le Chat assistant. Its positioning is data sovereignty: GDPR compliance, European data residency and on-premise deployment. It reports around 450,000 customers and more than 100 enterprise clients, with about 60% of revenue from Europe, and names like BNP Paribas, AXA, CMA CGM and hundreds of hospitals among its users.
Who uses it: large European enterprises and regulated sectors (banking, insurance, healthcare, public sector) that need compliance guarantees. Implication: if you sell B2B to European enterprises or regulated sectors, your buyer may be using Mistral by compliance mandate, not ChatGPT. It's a small channel in volume but very high value per user.
Which Ones Should You Pay Attention To, Based on Your Business?
Don't chase all five. Identify where your buyer is and prioritize one or two, on top of ChatGPT, Gemini and Perplexity:
- B2C, mass-market or local business in Spain or LATAM → Meta AI (WhatsApp).
- European B2B enterprise or regulated sectors → Mistral.
- Technical or developer category, or selling in Asia and emerging markets → Qwen and DeepSeek.
- Current events, finance, crypto or an audience active on X → Grok.
What They Have in Common (Optimize Once, Appear in Several)
The good news: the base signals overlap. You don't need to reinvent the strategy five times.
Complete schema. Organization, Article and FAQPage help any model that reads the web understand what you are and what you sell. It's the highest-ROI cross-cutting lever; the detail is in the schema markup for AI guide.
Consensus across independent sources. Open-weights models learn from the mass of mentions; Grok from X; all of them reward credible repetition on third-party sites. Work on industry media, directories, reviews and communities; see what sources feed AI.
Freshness and question-and-answer format. Updated content, with a recent `dateModified` and written as answers to real questions. Learn how to write content that AI will cite.
Optimize the fundamentals once and gain traction across all of them; then fine-tune per channel (presence on X for Grok, an open-web and third-party footprint for the rest).
Quick Ecosystem Comparison
| Model | Behind it | Where it lives | User / region | Web search + citations | Priority for you |
|---|---|---|---|---|---|
| --- | --- | --- | --- | --- | --- |
| Grok | xAI | X, app, API | Current events, US, tech/finance | Yes (X + web, with citations) | High if your category is discussed on X |
| Meta AI (Llama) | Meta | WhatsApp, Instagram, Facebook | Mass B2C, Spain/LATAM, India | Partial (integrated search) | High if B2C/local in WhatsApp markets |
| Qwen | Alibaba | App, Taobao, open weights | Asia, commerce, developers | Yes (in app) | Medium if you sell in Asia or are technical |
| DeepSeek | DeepSeek | App, open weights, third parties | Emerging markets, dev/coding | Yes | Medium if technical or emerging markets |
| Mistral (Le Chat) | Mistral | Le Chat, API, on-premise | EU enterprise, regulated sectors | Yes | High if B2B enterprise EU |
For the deep dives on the models you do work in full, see how to appear in Gemini, in Perplexity and in Claude, plus the ChatGPT vs Gemini vs Perplexity comparison.
And if your customer is increasingly asking by voice, this same ecosystem now powers Siri, Alexa+ and Google Home: GEO for voice assistants.
How to Measure Your Presence in These Models
Most of these models don't send referral traffic with a link, so you don't measure them in Analytics. You measure them by sampling: a set of category prompts run against each model, recording mention rate and framing. Prioritize measuring only the one or two relevant to your audience, not all five. For the full metrics framework, see the 7 GEO metrics you should track and how to measure the real ROI of your GEO strategy.
5 Common Mistakes
1. Ignoring everything that isn't ChatGPT. You leave out channels with billions of uses where you have no competition.
2. Treating all LLMs the same. Each feeds on different sources; copying your ChatGPT tactics isn't enough.
3. Chasing models irrelevant to your market. Investing in Qwen if you sell local B2C in Spain is wasted effort.
4. Forgetting open weights. Llama, Qwen and DeepSeek live in thousands of third-party apps, not just their official app. Their real reach is far larger than their interface.
5. Not measuring. Assuming you "don't appear" without data. Without sampling you don't know which channel you're in and which you're not.
FAQ
Do I have to optimize for all five models?
No. Prioritize by where your audience is: Meta AI if you sell B2C in WhatsApp markets like Spain and LATAM; Mistral if you sell to large European enterprises or regulated sectors; Qwen and DeepSeek if your category is technical or you sell in Asia and emerging markets; Grok if your category is discussed on X. Work on one or two beyond ChatGPT, Gemini and Perplexity.
What is an open-weights model and why should I care?
Llama, Qwen and DeepSeek are open-weights: anyone can embed them in their own product. That means they don't live only in their official app but inside thousands of third-party assistants and tools. Appearing in them means appearing across an entire ecosystem, not a single interface.
Does Grok only look at what's posted on X?
No. Grok combines real-time X posts with open web search and returns citations from both. Its unique advantage is access to X's public conversation, which makes it strong on current events, finance, crypto and technology.
I sell B2C in Spain or LATAM — which should I prioritize?
Meta AI. It's embedded in WhatsApp, Instagram and Facebook, exceeds 1.2 billion monthly active users, and 63% of interactions happen on WhatsApp, the dominant channel in Spain and LATAM. Your customer has it one tap away inside the chat they already use.
Is Mistral worth it if I'm not a large enterprise?
Less of a priority. Mistral's strength is large European enterprises and regulated sectors (banking, insurance, healthcare, public sector) that need data sovereignty and GDPR compliance. If you sell to that profile, your buyer may be using Mistral by compliance mandate, not ChatGPT.
Do these models use the same signals as ChatGPT?
The fundamentals overlap: complete schema, consensus across independent sources, freshness and question-and-answer format help across all of them. Then you fine-tune per channel: presence on X for Grok, an open-web and third-party footprint for the trained models. Optimize the base once and gain traction across several.
Start Measuring Your Visibility Across the Whole Ecosystem
Mentio audits your brand's presence in ChatGPT, Gemini, Perplexity, Claude and AI Overviews, and helps you understand which models in the ecosystem your audience uses and where you're missing. Better to start with the one or two channels that move your market than to spread yourself across all five.
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