Which AI Search Engine Should You Optimise For First?

There are now eight or more AI answer engines that could be recommending your competitors instead of you, and you cannot optimise for all of them at once. Deciding which AI search engine to optimise for first is the highest-leverage choice you will make in your generative engine optimisation work, because effort spent on the wrong engine for your audience is effort wasted. This is a decision guide, not a checklist. It compares the major engines by audience, reach, and effort, then gives you a framework to pick your first target and your sequence after that.

The instinct is to start with ChatGPT because it is the biggest, and for many brands that instinct is correct. But "biggest" and "best first move for you" are not the same thing. A local services business, a developer-tools startup, and an enterprise B2B vendor should each start in different places. The right answer depends on where your specific buyers actually ask their questions.

The engines, by who they reach

Before prioritising, understand what each engine is and who uses it. The differences in audience are what drive the decision.

ChatGPT, the default giant. ChatGPT has the largest general consumer and professional reach of any assistant, and with web browsing it cites live sources. For most brands it is the highest-volume surface, which is why it is the default first target unless a more specific audience pulls you elsewhere. Our guide to ChatGPT visibility covers the tactics in depth.

Google AI Overviews, the search-traffic protector. AI Overviews appear directly in Google search results, so they intercept traffic at the exact moment of a classic search. If a large share of your current traffic comes from Google, this is less about a new audience and more about defending the one you have, because Overviews can answer the query before the user clicks.

Gemini, Google's consumer assistant. Gemini reaches Google's enormous user base through its own app and across Google products. It overlaps with AI Overviews in source behaviour but is its own conversational surface worth tracking for consumer reach.

Perplexity, the research and citation engine. Perplexity is citation-forward by design and skews toward research-minded, professional, and high-intent users. It is smaller than ChatGPT but punches above its weight for B2B, considered purchases, and anyone whose buyers do real comparison research. See our guide to Perplexity SEO for specifics.

Copilot, the Microsoft and workplace surface. Copilot reaches users through Windows, Microsoft 365, and Bing. For B2B and enterprise audiences embedded in the Microsoft ecosystem, it can be more relevant than its raw user numbers suggest.

Grok, the X-native assistant. Grok lives inside X and skews toward that platform's audience and real-time, conversational queries. It matters most if your audience is active on X.

Claude, the professional and technical favourite. Claude is widely used by developers, technical teams, and knowledge workers, often through work tools. If you sell to that audience, it is worth tracking despite being smaller than the consumer giants.

Meta AI, the in-chat consumer reach. Meta AI is embedded across WhatsApp, Instagram, Facebook and Messenger, giving it enormous consumer reach in the apps people already use. It blends web search with Meta's own data and matters most for consumer and local brands. Our guide to Meta AI SEO goes deeper.

A prioritisation framework

You do not pick by size alone. You pick by where your buyers are, weighted by reach and effort. Work through these in order.

Start with audience type. This is the single biggest factor. If you are B2B or sell a considered, researched purchase, Perplexity, ChatGPT, and Claude tend to matter most, because that is where your buyers do their thinking. If you are consumer or local, ChatGPT, Google AI Overviews, Gemini, and Meta AI carry more weight, because that is where everyday questions get asked. If you are a developer or technical brand, ChatGPT, Claude, and DeepSeek deserve early attention. Our DeepSeek SEO guide covers that last one.

Then weight by reach for your audience. Within the engines your audience uses, favour the one with the most reach. For most brands that still makes ChatGPT the first target, because it combines large reach with broad audience overlap. The exception is when a more specialised engine maps far more tightly to your buyers, in which case start there.

Then factor in effort and overlap. The good news is that the work overlaps. Clear, citable, well-structured, authoritative content lifts you across every engine, because they share the same underlying clarity signals. So your first target is less about exclusive effort and more about where you measure first and tune hardest. Google AI Overviews, for instance, often improve as a byproduct of the same work that helps ChatGPT.

Defend before you expand. If you already get meaningful Google traffic, treat AI Overviews as an early priority regardless of audience, because you are protecting existing revenue rather than chasing new reach. Defence is usually cheaper than acquisition.

A practical starting sequence

Translate the framework into an order you can actually follow.

For most B2B and SaaS brands. Start with ChatGPT, add Perplexity early because its research audience matches your buyers, then layer in Claude for technical reach and Copilot if your market lives in Microsoft tools.

For consumer and local brands. Start with ChatGPT and Google AI Overviews, then prioritise Meta AI for its in-chat consumer reach and Gemini for Google's user base.

For developer and technical products. Start with ChatGPT, then Claude and DeepSeek, because your audience leans on those for technical questions.

For everyone, measure across all of them. Even when you optimise one engine first, track them all, because the shared signals mean wins spread, and you want to catch a competitor pulling ahead on an engine you were not watching. bing.ly runs your keyword prompts across all the major engines at once, records where you are cited, shows how each model sees your pages, and surfaces the competitors named instead, which is exactly the cross-engine view this framework needs. For more on choosing among the dedicated platforms, see our best GEO tools roundup.

Frequently Asked Questions

Q: Should every brand just start with ChatGPT? Most should, because ChatGPT has the largest general reach and broad audience overlap, which makes it the safe default first target. The exception is when a more specialised engine maps far more tightly to your buyers, for example Perplexity for a research-heavy B2B audience or Meta AI for a local consumer brand. Start where your specific buyers actually ask their questions.

Q: Do I have to optimise each engine separately? No, and that is the encouraging part. The engines share underlying signals, so clear, citable, well-structured, authoritative content lifts you across all of them. Picking a first engine is mostly about where you measure and tune hardest, not about doing entirely separate work for each one. Wins on one engine commonly spread to others.

Q: Where do Google AI Overviews fit in the priority list? If you already get meaningful traffic from Google search, treat AI Overviews as an early priority regardless of your audience, because they intercept that traffic at the moment of search and you are defending existing revenue. Conveniently, much of the content work that helps ChatGPT also improves your AI Overviews presence, so the effort overlaps.

Q: How do I know which engine my audience actually uses? Start from audience type as a proxy: B2B and research buyers lean toward Perplexity, ChatGPT and Claude; consumer and local audiences toward ChatGPT, AI Overviews, Gemini and Meta AI; developers toward ChatGPT, Claude and DeepSeek. Then validate by tracking all of them and watching where you and your competitors actually get cited, which turns the proxy into evidence.

The Bottom Line

The right first engine is the one where your specific buyers ask their questions, weighted by reach and tempered by the fact that most optimisation work spreads across engines anyway. Start with audience type, favour reach within that audience, defend existing Google traffic with AI Overviews, and remember that clear citable content lifts you everywhere. The concrete next step is to run your real customer questions across every major engine in bing.ly, see where you are already cited and where competitors are winning, and let that evidence, not a guess, decide which engine you optimise for first.