10 KPIs to know in the era of AI search

10 KPIs to know in the era of AI search

AI tools like ChatGPT, Perplexity and Google’s SGE are rewriting the rules of content discovery — serving answers directly without a single click. This article explores the new KPIs content teams must track to measure influence and visibility in a world where AI are your first “readers” before that content meets human eyes.

Written by Tim Burke

illustration depicting analytics and content capabilities needed to track performance in AI search

Welcome to the AI-first search era

Remember when we judged content success by clicks and pageviews? Today, something huge has shifted: AI-powered tools like ChatGPT, Google’s SGE, Perplexity, Claude and Bing Copilot are now consuming and generating content directly from your site, without anyone ever clicking.

How is AI changing content consumption?

AI agents are pulling your blog posts, help articles and community contributions into their answer engines. Users are asking questions, the AI taps into your content and, voilà, a response is served, completely bypassing your site metrics. It’s like being the smartest kid in class, everyone learns from you, but your teacher never calls on you.

Why this matters for ContentOps and MarketingOps

  • Your content is being “seen,” even if it’s not being clicked. Traditional analytics are blind to this AI-driven visibility.
  • Authority is now measured in where AI surfaces your answers, and how it frames them.
  • You’ve got to pivot from optimizing for clicks and pageviews to optimizing for extractable content: short-form answers, definitions, structured lists and copy that “reads well” to machines.

In this series, we’ll map out the new frontier of the most-important tactical KPIs that shine a light on AI-powered content consumption. Then we’ll show you how to plug the gaps in your content stack, so your brand isn’t just indexed, but influencing, answering and earning presence in the AI-first digital ecosystem.

Because if you’re not measuring how AI uses your content, you’re not measuring its true impact.

These invisible interactions where your content is surfaced, summarized or cited inside AI tools, are becoming more common than clicks themselves.

That creates a massive blind spot for RevOps, MarketingOps and ContentOps teams. You’re doing all the right things: creating authoritative content, optimizing for SEO, publishing across channels, but your measurement stack is stuck in a pre-LLM era.

Here’s the thing: if your executive dashboard only includes traffic and conversions, you’re not seeing the real impact your content is having. You might be dominating the conversation in generative search, but without tracking AI citations or retrieval, you’ll never know.

And let’s not forget: AI doesn’t just consume content, it reshapes it. If your messaging is showing up in chatbot responses or smart search summaries, you want to be aware of it. Not just so you can claim the influence, but so you can steer the narrative.

The takeaway? We need new KPIs. Ones that reflect how AI finds, interprets and reuses content. Metrics that go beyond user sessions and into the realm of machine visibility.

And that’s exactly what we’ll explore next.

About the author
Tim Burke is Senior Revenue Operations Manager at Brightspot. He helps organizations transform analytics, systems and automation into engines that drive growth. Over his career, he’s designed and optimized marketing operations for SaaS companies, enterprise teams and high-growth startups navigating complex go-to-market challenges. From platform migrations to data unification and attribution design, Tim prides himself on building ecosystems that not only run efficiently but create meaningful impact across pipeline and revenue. In a world saturated with tools and noise, Tim stays focused on what delivers: connected systems, usable data and automation that earns its keep.

Visit Tim’s author profile here
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