Which AI Engine Should You Optimize For First?

The one your buyers already use to research and buy — for most companies that means ChatGPT and Google AI Overviews before Perplexity or Claude. Match the engine to how your specific audience actually behaves, not to whichever one is loudest in the news that week.

A quick way to decide:

• If you sell to consumers or generalist B2B buyers, start with ChatGPT. It's the assistant people open out of habit, and it's increasingly willing to name specific brands and products when someone asks a buying question directly.
• If your buyers still start their research on Google, start with AI Overviews. You're not chasing a new channel — you're defending the one you already show up in.
• If your buyers are researchers, developers, or analysts who check sources before they trust an answer, weight Perplexity higher than its size suggests. It's built around citations, and that audience notices them.

You don't need certainty to start, just a reasonable read on your own buyers. The next section explains why that first guess matters less than most people assume.

ChatGPT, Google AI Overviews, and Perplexity pull from different sources and reward different signals, so 'optimizing for AI' is never really one single task. Knowing the differences helps you set expectations for what shows up where.

• ChatGPT: leans on browsing and search-augmented answers, has one of the largest active user bases of any conversational assistant, and will increasingly recommend specific brands in response to buying questions rather than staying generic.
• Google AI Overviews / Gemini: grounded in Google's own search index and knowledge graph, so pages that already rank well in classic Google search have a real head start here.
• Perplexity: built around citations. It shows exactly which pages an answer came from, and it rewards content that reads like a well-sourced answer over content that reads like a landing page.

For a fuller breakdown of what each engine rewards and how to check where you stand in each one, see our guide to the best AI search engines to optimize for. The differences matter less for what you write, though, and more for where you go to check results — which brings us to the part that's genuinely shared.

The core AEO work — direct answers, a clearly defined entity, consistent facts repeated across the web — lifts your visibility in ChatGPT, AI Overviews, Perplexity, Gemini, and Claude at roughly the same time. Picking 'first' is a question of sequencing effort, not permanently ignoring the rest.

That's because these engines draw on overlapping raw material: your own site, third-party reviews, comparison pages, forum threads, structured data. Fix the following once and every engine benefits:

• Answer-first structure — open every important page and section with a direct one- to two-sentence answer instead of throat-clearing.
• Entity clarity — one consistent brand name, one clear definition of what you do, backed by structured data.
• Third-party consensus — reviews, comparisons, and independent mentions that repeat the same facts about you in their own words.

This is the same groundwork covered in our guide to AI search optimization — worth reading before you spend a dollar on engine-specific tactics, because most of what moves the needle isn't engine-specific at all.

Don't guess — audit which engines already mention your brand, compare that against which engines your buyers actually open, and start with the engine where the gap is biggest and the buyer overlap is highest. That single comparison beats any generic ranking of engines by popularity.

A simple process:

1. Run an audit across ChatGPT, Perplexity, and Gemini / Google AI Overviews to see where you currently show up — and where you're invisible.
2. Cross-reference against your own funnel signals: referral traffic from perplexity.ai, mentions of 'I asked ChatGPT' in sales calls, support tickets that reference an AI answer.
3. Prioritize the engine with the largest gap between 'buyers who use it' and 'AI mentions you actually get there.' That gap is your highest-leverage first move.

Look at an example AEOeye report to see what this comparison looks like in practice — where a brand shows up across engines and where it quietly doesn't. Then run a free audit to see exactly which AI engines already mention you, and which ones need work first.