When people talk about AI visibility, they often talk about "the models" as if they were all the same. They are not. ChatGPT, Gemini, Claude, and Perplexity have radically different architectures and information retrieval approaches, which means the strategy for appearing in each one varies. Before investing in GEO, it's important to understand how each model works so you can prioritize where it makes the most sense to act first.
The four major models and how they retrieve information
| Model | Knowledge type | Update cycle | Visible sources |
|---|---|---|---|
| ChatGPT (GPT-4) | Static corpus + optional web search | Corpus: every 6–12 months; web: real-time if enabled | Corpus is opaque; web search cites sources |
| Gemini (Google) | Static corpus + real-time Google index | Continuous for the web portion | Cites search sources; combines with own knowledge |
| Claude (Anthropic) | Static corpus | Every several months (new versions) | Does not cite sources by default |
| Perplexity | Real-time web search | Real-time | Always cites sources — it's their value proposition |
Perplexity: the most accessible for emerging brands
Perplexity is a conversational search engine that performs real-time searches and shows the sources it uses. Unlike ChatGPT or Claude, it doesn't depend on a static training corpus: if you publish relevant content today, Perplexity can cite it tomorrow.
For brands building their digital presence, Perplexity represents the most immediate opportunity: the content you publish, the articles that mention you, and the reviews you receive are all indexable in real time. Classic SEO techniques (well-structured content, schema markup, quality backlinks) have a direct and fast impact on Perplexity visibility.
ChatGPT: the most used, the slowest to influence
ChatGPT is the model with the largest user base in the world, making it the most valuable GEO target. The problem is that its base knowledge is tied to a training corpus that is updated in cycles of months. There is no way to make ChatGPT mention you tomorrow: the impact of your GEO strategy will be reflected in the next version of the model.
The exception is when the user has web search enabled in ChatGPT (available in some plans). In that case, ChatGPT works similarly to Perplexity and can find your content in real time. But most conversational queries use the base knowledge, not web search.
Gemini: the advantage of the Google ecosystem
Gemini (from Google) combines a training corpus with Google's real-time search index. This means classic SEO has a more direct and faster impact on Gemini visibility than on ChatGPT. If your site ranks well in Google for the relevant queries in your industry, you have a higher chance of appearing in Gemini responses.
Claude: the most conservative in brand citations
Claude (from Anthropic) is the most careful model when it comes to recommending specific brands or products. It tends to give more generic answers and mention categories before specific brands. This doesn't mean you can't appear, but the context of the mention is usually more informational than recommendatory. For brands that already have high authority in their sector, Claude does cite them naturally.
Strategy by model: where to start
- 1.Start with Perplexity: it's the most influenceable in the short term. Focus content on direct answers and structure with schema markup.
- 2.Work on SEO for Gemini: good ranking in Google translates to Gemini visibility more quickly than in other models.
- 3.Build editorial presence for ChatGPT: articles in industry media, reviews on reference platforms, and mentions in forums are the long-term investment.
- 4.For Claude: focus on becoming the indisputable reference in your category — it's the model that most requires real authority to cite brands.
How to measure your visibility across the different models
iRankly's AI Visibility Monitor lets you check whether your brand appears in model responses for the most relevant questions in your industry. Set a fixed set of questions and review it monthly to detect changes.
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The multi-model scenario: why consistency matters
In practice, users use different models for different types of queries. Some prefer Perplexity for current information searches, ChatGPT for creative or reasoning tasks, and Gemini to integrate with the Google ecosystem. A solid GEO strategy doesn't bet on a single model: it builds the editorial presence, schema markup, and topical authority that work across all of them, and monitors results in each periodically.