Owners and marketers who want AI search visibility without chasing hype or abandoning SEO basics.
They are not one audience. Each system retrieves differently, cites differently, and rewards slightly different things. Here is what that means for where you put effort.
AI Overviews draw from Google's existing search index, so classic SEO strength carries over directly. Perplexity retrieves live and cites heavily, making it the most responsive to good structure. ChatGPT leans more on trained knowledge, which favours established brand presence. Optimise structure once; the differences change priority, not method.
People ask me which AI system they should optimise for, and the honest answer is that the question is slightly wrong. You cannot optimise separately for four systems without doing four times the work for marginal gain.
But the systems genuinely are not identical, and understanding how they differ is useful for one specific decision: whether your next hour is better spent on your own pages or on being known elsewhere.
A caveat before any of this. Platform behaviour changes without notice and without documentation. Treat what follows as the current shape of things rather than fixed rules, and re-check anything you are about to spend real money on.
Google AI Overviews
The most consequential for most businesses, because it sits on the results page people were already going to see.
How it retrieves: from Google's existing search index, crawled by ordinary Googlebot. This is the single most useful fact in this article. Your classic SEO strength carries over directly, and there is no separate index to get into.
What it means practically: if you rank well, you are already a candidate. The work is making the specific passage easy to lift, which is structure rather than authority.
The trap: Google-Extended does not control AI Overviews. It governs Gemini and Vertex model training. Blocking it does not remove you from AI Overviews and never did.
The cost: this is also where the traffic loss concentrates. Click-through drops from roughly 15% to about 8% when an Overview appears, and Overviews trigger on around 39% of informational queries against 22% of commercial ones.
Perplexity
The most transparent of the four, and the most responsive to work you can actually do.
How it retrieves: live, at query time, with visible inline citations. It shows its sources, which makes it by far the easiest system to test against.
What it means practically: structure pays off fastest here. A page with a clean answer near the top and clear headings is straightforwardly easier to retrieve and quote, and you can verify the result in minutes rather than months.
Why it matters more than its market share suggests: it is the best free diagnostic you have. If Perplexity will not cite you for a query where you have a genuinely good page, the problem is usually retrievability or clarity, and that finding transfers to the others.
ChatGPT
The largest audience and the hardest to influence directly.
How it retrieves: a mix of trained knowledge and live browsing, depending on the query and the mode. For recommendation questions in particular, it frequently answers from what it already knows.
What it means practically: this is where brand presence dominates and on-page work matters least. If the model absorbed thousands of mentions of a competitor during training and none of yours, better heading structure will not close that gap.
Where this connects to the evidence: Seer Interactive's 2026 analysis suggests citation may be substantially post-hoc, with models selecting brands from prior knowledge and then retrieving sources to support the choice. If that holds anywhere, it holds most strongly here.
What to do about it: off-site presence. Directories, editorial mentions, participation where your topic is discussed. Slow, unglamorous, and the only thing that moves this system.
Gemini
How it retrieves: Google's infrastructure, with its own training controls via Google-Extended.
What it means practically: largely overlaps with the AI Overviews picture. Being solid in Google search is the foundation. The distinct decision is whether to permit Google-Extended for training, which is a commercial judgment rather than a technical one, and for most marketing content the answer is yes.
What this means for where you put effort
Rather than four strategies, this resolves into a priority order.
Structure your best pages once. Answer capsule near the top, headings every 120 to 180 words, a table or list where it genuinely helps, an explicit FAQ. This serves every system, because they all face the same extraction problem. Do it once, properly.
Use Perplexity as your test rig. It shows sources, so it tells you within minutes whether a page is retrievable and quotable. Fix what it reveals.
Spend the remaining effort off-site. That is what moves ChatGPT, and it is the slowest thing to build, which is why it should start before it feels urgent.
Do not build platform-specific pages. I have seen this attempted. It produces near-duplicate content competing with itself, and the systems converge more than they diverge.
The measurement consequence
Because the systems behave differently, do not average them.
Run the same fixed prompt set against each one separately and track the results in separate columns. A rising mention rate in Perplexity with a flat rate in ChatGPT is a meaningful, readable signal: your pages are working and your brand presence is not there yet. Averaged into one number, that finding disappears.
Frequently asked questions
Which AI system should I prioritise?
Structure your pages once for all of them, then spend the remaining effort on off-site presence, which is what moves the hardest system to influence. Prioritising a single platform's quirks is rarely worth the effort for a small business.
Does blocking Google-Extended remove me from AI Overviews?
No. Google-Extended governs Gemini and Vertex training. AI Overviews are served from the regular search index via Googlebot. This is the most commonly misunderstood control in the area.
Why does Perplexity cite me but ChatGPT never mentions me?
Usually because Perplexity retrieves live and ChatGPT leans on prior knowledge. It generally means your pages are good and your brand presence is thin, which points the work off-site.
Should I write different content for each platform?
No. It creates duplicate pages that compete with each other, and the systems share more requirements than they differ on.
The differences between these systems are real, but they change the order of your work rather than the nature of it. Structure once, test with the system that shows its sources, and spend the rest of your effort becoming known.
For the structural half in detail, read how to structure content so AI answer engines can use it. For the off-site half, why getting cited has less to do with your website than you think.