How Should Brands Measure Success in AI Search?

Why Traditional Traffic Metrics Fall Short

Traditional SEO measurement works like this: rank for a keyword, drive traffic, convert customers. It's worked well for Google's blue-link results because the user journey is straightforward — search, click, land on your site.

But AI search disrupts that model.

When Google creates an AI Overview, it synthesises an answer directly on the search results page. A user might get the information they need without ever clicking through to your website. Your content could be included in that answer – which is a win for visibility and authority – but it won't show up as traffic.

Similarly, when someone asks ChatGPT a question about your industry, ChatGPT might cite your content. That builds awareness and positions you as an authority. But again, no traffic. No click. No way to measure it in Google Analytics.

The result? Many brands are measuring only the obvious thing (traffic) and missing the bigger picture of where they're actually winning or losing in AI search.

Measuring Success in Google AI Overviews

Google AI Overviews are straightforward to understand but tricky to measure. Instead of listing 10 blue links, Google generates a summary that directly answers the search query, pulling information from multiple sources.

The challenge: your content could be featured in that summary without driving any clicks.

So what should you measure instead?

First, visibility. Are you appearing in AI Overviews for your key keywords? You can check this yourself by searching for the questions and keywords your customers use. Do you see an AI Overview? Is your brand or website mentioned in it? This is the foundation. It tells you whether Google trusts your content enough to feature it.

Second, prominence. When you do appear, how prominent is it? Are you the first source mentioned, or buried lower? Are you cited multiple times? Being featured prominently is stronger than a single mention buried in a list. You don't need exact data here – just awareness of your position.

Third, does this connect to your business? Are these Overview appearances leading to anything that matters, such as leads, calls, conversions, or brand awareness? If you're appearing in AI Overviews but seeing no business impact, you need to rethink your strategy. Measure visibility and outcomes together.

It's worth noting that even though AI Overviews answer questions, they can still drive traffic. Someone might see your brand mentioned in an Overview, get interested, and click through to learn more about you specifically. Or they might search for you by name later. So monitor your organic traffic on these keywords – you might see it stay flat, decrease, or even increase, depending on your content and industry.

The foundation is understanding where you appear, how prominently, and what business impact it's driving - this understanding is a key part of any solid answer engine optimisation (AEO) strategy.

Measuring Success in ChatGPT and Other LLMs

ChatGPT is fundamentally different from Google. There's no ranking system. You can't see search volume or click-through rates. An LLM's training data is hidden, and how it decides to cite content is a black box.

This makes measurement less precise, but not impossible.

The core metric is simple: are you being cited? Test this yourself. Ask ChatGPT the kinds of questions your customers ask. If you're a solicitor, ask about contested divorce. If you're an accountant, ask about home office tax claims. If you're an e-commerce brand, ask for product recommendations in your category.

When ChatGPT responds, does it mention your brand? Does it cite your website? If yes, that's a win. Your content is trusted enough that an AI trained on the internet includes you.

Do this monthly with 10–15 key questions. Over time, you'll see patterns in whether you're mentioned and how often competitors appear instead.

A secondary indicator is brand awareness. If ChatGPT is mentioning your brand, people will become more aware of you. Some of those people will search for you on Google later. Watch your branded search volume – if it's growing steadily month-on-month, it's a sign that AI mentions are driving awareness.

The bigger picture: authority. LLMs are trained on authoritative content. The more your brand is seen as a trusted expert in your field, through quality content, mentions on industry websites, and genuine expertise, the more likely LLMs will cite you. Unlike Google, where you can see results within weeks, ChatGPT success is a long-term play on building authority. It compounds over time.

Unlike Google, where you can see results within weeks, ChatGPT success is a long-term play on building authority. It compounds over time and it is important to have a clear generative engine optimisation (GEO) strategy in place to achieve this. 

Bringing It Together

Measuring AI search success doesn't need to be complicated. Here's what actually matters:

For Google AI Overviews:

• Are you appearing in Overviews for your key keywords? (Search them and check)
• Is your traffic on these keywords changing?
• Are these appearances leading to business outcomes?

For ChatGPT and LLMs:

• Test your industry keywords monthly and note whether you're mentioned
• Watch your brand search volume for awareness signals
• Focus on building authority and thought leadership over time

The key insight is simple: traffic is one important metric, but it's not the only one. With AI search, success looks different. Your brand can be cited in an Overview without driving clicks. It can be mentioned by ChatGPT and build authority without sending direct traffic. People can discover you through an AI mention and search for you later on Google. These are all wins, just not the kind that show up in your traffic report.

Measure visibility. Measure citations. Measure awareness. Measure traffic. But don't mistake any single number for the whole picture.

The Metric That Actually Matters: Leads and Revenue

Visibility metrics don't mean anything if they don't convert to leads. Your brand could be cited in dozens of AI Overviews. ChatGPT could mention you daily. Your branded search volume could be climbing. But if none of that translates to actual enquiries from potential clients, you don't have a strategy, you have a vanity project.

This is particularly common in professional services, especially law firms. Many firms don't have a clear system for tracking where leads actually come from. A potential client might see your firm mentioned in an AI Overview, search for you on Google, find your website, and call your office a week later—but by then, the connection to that original AI mention is lost. Without proper lead tracking, you have no idea the AI search strategy is working.

So before you worry about whether you're appearing in AI Overviews or ChatGPT, ask yourself: do we know where our leads are coming from? Do you track which enquiries came from organic search vs. referrals vs. direct calls? Can you tie a phone call back to a specific keyword or source? If the answer is no, that's the first thing to fix.