They favour different kinds of pages
The clearest split is in what type of page each engine tends to cite. Looking across published citation breakdowns, the pattern repeats: ChatGPT leans heavily on commercial and product pages, Claude leans toward long-form blog and explanatory content, and Perplexity behaves like a fast, link-heavy search layer that surfaces a wide spread.
Read what that means for your site. If you are all blog and no clear product page, you can do well in Claude and barely register in ChatGPT. If you are all product and no explanation, the reverse. The fix is not to game one engine, it is to make sure both kinds of page exist and are clear.
They treat freshness differently
Perplexity carries a strong recency bias. In fast-moving topics, a newer page can displace an older, higher-authority one, because Perplexity is built to feel current. ChatGPT and Claude lean more on settled, trusted content and move slower to swap a source out.
So the same content calendar serves them unevenly. Evergreen depth (content that stays relevant instead of going out of date) wins the slower engines; a steady drip of fresh, clearly dated content wins the recency-hungry one. A site that never updates looks stale to Perplexity even while ChatGPT still quotes it happily.
They cite at different speeds
When you fix a page, the engines do not all notice at once. A structural change, an answer-first rewrite, a cleaner FAQ, tends to show up in Perplexity within days, in ChatGPT over a few weeks, and slower still in Claude and Google's AI Overviews.
This matters mostly for your patience. If you rewrite a page, check Perplexity in 48 hours and conclude AEO (answer engine optimization, getting cited by AI answer engines) does not work, you have judged the slowest race by its fastest runner. Give the change time across engines before you decide it failed.
The overlap is bigger than the differences
Here is the reassuring part, and the reason not to build five strategies. Every one of these engines rewards the same core: pages that are crawlable (a search or AI bot can reach and read them), clearly written, well-structured, and genuinely trusted. The per-engine quirks sit on top of that shared base. They do not replace it.
So the work is not 'optimise for ChatGPT, then for Claude, then for Perplexity'. It is: get the foundation right, make sure both your product and your explanatory pages are clean, keep some content fresh, and the engine-specific differences mostly take care of themselves.
Cover the bases, then check
In practice that means a short, honest checklist: a product page that says plainly what you are and who you are for, explanatory content with real depth, answers structured so any engine can lift them, and enough freshness that you do not look abandoned. Do that and you are in the running everywhere instead of strong in one place and absent in another.
HowFindable scans your site for free against the shared base all of these engines reward, and gives you two scores plus the specific gaps. If you want them fixed, we generate the corrected files and a cleaner version of your content, ready to upload. Start there, before you worry about any single engine.