Understand how major AI search platforms generate answers, choose sources, and cite pages. Learn what changes across models and what it means for AEO.
Before you can optimize for AI search, you need to understand the landscape. Here are the major players and how they work:
The most popular conversational AI. ChatGPT can browse the web in certain modes (ChatGPT Plus with browsing enabled) and will cite sources when it does. In other modes, it relies on its training data. For technical strategies, see our ChatGPT Optimizer.
Designed specifically for search. Perplexity is highly web-retrieval based and almost always shows citations. It behaves closer to a traditional "search engine with AI". Brands should focus on being cited here; learn more in our Perplexity Optimizer.
Known for strong reasoning and longer context handling. Claude's citation behavior depends on the setup—some implementations include web search, others don't. Master its nuances with the Claude Optimizer.
Increasingly integrated with Google Search features and AI summaries (AI Overviews). Gemini has direct access to Google's index. If you're targeting Google's AI results, check the Gemini Optimizer.
For a full list of models including Grok, DeepSeek, and Rufus, explore our AI Models Hub.
Understanding the answer generation process helps you optimize effectively. Here's a simplified mental model:
The AI first interprets what the user actually wants. You can reverse-engineer this using our Prompt Intelligence tool.
For platforms with web access, the AI pulls relevant pages and sources. This is where your indexable, well-structured content matters.
The AI combines retrieved information with its training knowledge to write a coherent answer. Clear, well-organized content gets synthesized more accurately.
The AI decides which brands, products, or sources to mention. Authority, relevance, and clarity all influence selection.
Finally, the AI may cite sources. Not all platforms cite, and citation behavior varies by query type and platform settings.
Your job in AEO is to make it easy for the model to: find you, understand you fast, trust you, and cite you accurately.
While the core process is similar, each platform has quirks:
The only way to truly understand how each platform treats your brand is to test. Run the same prompts across ChatGPT, Perplexity, Claude, and Gemini, then compare. Automate this tracking using our Brand Visibility Tracker.
While platforms differ today, they're converging toward similar behaviors: more web retrieval, more citations, more real-time information. The brands that build strong AEO foundations now will be well-positioned regardless of how the landscape evolves. Start your strategy today by generating an LLM.txt file.
Get a free audit to understand where your brand appears in AI search.
Asva monitors ChatGPT, Perplexity, Claude, and more to show exactly where you appear.
AI search is a discovery experience where an AI system answers questions directly, often summarizing information from multiple sources and sometimes showing citations.
Many AI search systems retrieve web pages and select sources based on relevance, clarity, authority signals, freshness, and how easy the content is to extract and summarize.
Not always. Different platforms may prioritize different signals and retrieval approaches. That's why AEO measurement should test multiple models with the same prompt set.
Each platform has different retrieval behavior, citation preferences, and source coverage. Differences in freshness, authority signals, and content structure can shift which brands are selected.
Track brand mentions, citations to your domain, sentiment/context, and position in recommendation lists. Use weekly runs to spot trends and measure impact.