Which AI engines should I track?

The engines that carry the volume

The AI-answer landscape has a long tail, but the head is concentrated. Four engines account for most of the questions buyers actually ask when they're making a decision:

• ChatGPT — the most-used assistant and the one most people mean when they say “I asked AI.” If you track one engine, it's this.
• Perplexity — answer-first and citation-heavy, so it's where being a quotable source pays off most directly.
• Google Gemini — Google's assistant, increasingly woven into its ecosystem and Android.
• Google AI Overviews — the AI answers that now sit at the top of ordinary Google searches, reaching people who never opened a chatbot at all.

Beyond these, Microsoft Copilot and Claude are worth watching, and industry- or region-specific engines matter when your audience genuinely uses them. But for a small business or a single store, nailing the big four is far more valuable than a thin presence everywhere.

Why coverage beats raw engine count

It's tempting to shop for the tool with the longest engine list, but engine count is a weak proxy for value — for two honest reasons. First, many tools advertise a big number but gate most engines behind higher tiers or per-engine add-ons, so the “seven engines” on the box might be three on the plan you can afford. Second, a shallow read across many engines is less useful than an honest, continuous read across the few your buyers use. A long list you barely sample is vanity; solid coverage of the majors is signal.

This is a place where steek makes a deliberate trade-off. It covers the major engines that matter for most businesses — ChatGPT, Perplexity, Gemini and Google AI Overviews — at a flat price with no per-engine upcharge, rather than competing on raw engine count. That's an honest limit: tools built for enterprise breadth do list more engines, and if you specifically need a very long tail, that's their strength, not steek's.

Track each engine separately, over time

Whichever engines you choose, don't average them into one number. Each engine draws on different sources and weights them differently, so your visibility in ChatGPT can look nothing like your visibility in Perplexity — and a blended score hides exactly the gap you need to fix. Worse, AI answers are volatile: independent tracking finds 40–90% of the sources an engine cites can change when the same question is re-asked over time. A single check, on a single engine, on a single day, tells you almost nothing.

That's why measurement has to be per-engine and continuous, and why a point estimate with no error bar is dangerous — it invites you to chase swings that are just sampling noise. steek reports each engine separately and puts a 95% confidence interval on every metric, so you can tell a real movement from randomness before you act. For the wider context on what you're optimizing for, see what GEO and AEO mean; for how the tools compare on engine coverage and price, the best AI visibility tools roundup lays it out.

To see your own read across the major engines right now, run the free checker on the steek.ai homepage — no signup required.