Perplexity and ChatGPT are two of the most used AI answer tools, but they work differently. Perplexity is built around real-time web search and citations; ChatGPT can search the web when the feature is enabled but also relies heavily on training data. Knowing how each discovers and cites sources helps you optimise your content for both. This article compares them and outlines what to do for each.
How Perplexity Uses the Web
Perplexity is designed as an “answer engine”: it runs a search, retrieves pages, and synthesises an answer with inline citations. Users see numbered references that link to the source URLs. So for Perplexity, being in the set of pages it retrieves and deems relevant is essential. It tends to favour authoritative, well-structured content that directly answers the query. Clear headings, direct answers near the top, and strong topical relevance all help. Perplexity has grown to hundreds of millions of monthly searches, so appearing in its citations can drive meaningful referral traffic and brand exposure.
How ChatGPT Uses the Web
ChatGPT can answer from its training data alone, but when “search” or “browse” is enabled it can query the web and cite sources. When it does, it behaves more like Perplexity — it pulls in live or indexed content and attributes it. When it doesn’t use search, it may still “recall” information that was in its training set (which can include public web content). So for ChatGPT you want to be both: a site that is likely to be crawled and cited when it does search, and content that is clear and authoritative so that if your site was in training data, it’s easier to associate with the right queries. ChatGPT drives a large share of AI referral traffic to websites, so optimising for when it does cite the web is valuable.
Similarities for AEO
Both systems favour content that is easy to parse and trust. Best practices that help both include: a direct answer in the first 60–100 words, clear heading hierarchy, lists and short paragraphs, author and date attribution, and schema where it fits. Domain authority and relevance also matter for both when they pull from the web. So a single strategy — clear, structured, authoritative content that answers real questions — will support visibility on both platforms.
Differences to Keep in Mind
Perplexity is always “search-first” in practice, so your focus is squarely on being retrievable and citable from the live web. For ChatGPT, when search is on, the same applies; when it’s off, you’re relying on historical indexing or training data, which you can’t directly control. So for ChatGPT, the best you can do is ensure your site is crawlable, clear, and valuable so that whenever it does use the web or recall data, your content is a strong candidate. Also, referral traffic from each platform may appear differently in analytics (e.g. different referrers or UTM patterns), so track both to see which is sending more traffic and adjust if needed.
Summary
Perplexity is built on real-time search and citations; ChatGPT can search and cite when the feature is enabled. Both tend to cite clear, authoritative, well-structured content. Optimise for both by following AEO best practices: direct answers, good structure, E-E-A-T, and targeting real user questions. Monitor referral traffic from each to see how your content performs.
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