Content performance has entered its next era. Are you ready?

For years, content performance was relatively easy to define. If your content drove traffic, ranked in search, and converted visitors, it was working. Those signals shaped how marketing teams were built, how budgets were allocated, and how success was measured.

But those benchmarks were built for a different internet, and we probably don’t have to tell you that it’s because of AI. Two years ago, Gartner predicted that traditional search engine volume would decline 25% by 2026 as users shift toward AI-powered tools and interfaces. News publishers are reporting drops in traffic because audiences are finding what they’re looking for via LLM queries or the AI summaries that are now a ubiquitous part of search engine results. And Knotch’s own research has observed that only a tiny minority of brand website visitors whose journeys were influenced by AI actually clicked through from a citation on an LLM. There’s a massive amount of elusive AI-influenced traffic that traditional analytics can’t track.

It's been an unnervingly fast transformation to a radically new era for content performance. But while the environment has changed, the way most organizations measure performance has not. While this tension remains in place, brands and their content will suffer, while CMOs and their teams will find that it’s only getting harder to justify costs to their finance departments.

Here are four signs that your content operations still have work to do to be future-forward – and one easy first step they can take to address each.

1. You’re still optimizing for traffic, not progression

If traffic is still your primary KPI, you’re not alone. But you are increasingly misaligned with how content actually drives value. That’s because traffic used to be a reliable proxy for performance; after all, it represented discovery. But in AI-influenced journeys, brand discovery often happens long before a site visit – which means opinions and perceptions are being shaped outside of a brand’s own control. Visitors who land on a static website may be landing far from the main homepage; even if they are, they may not be finding what they need.

To put it bluntly, traffic was never as reliable a metric as the industry acted like it was; the challenge is that nothing better was available. That’s changed. And if you’re still placing a high priority on traffic – which says a lot about arrival but not much about progression – you could be overlooking some of the newer and more interesting metrics that are available now.

What to do: Your goal should be understanding whether a piece of content moves a user forward. Look at metrics like recirculation rate (Knotch’s recent favorite), multi-page engagement, return visits, and assisted conversions across sessions.

A simple first step is to identify your top 10 traffic-driving pages and analyze what percentage of visitors actually take a meaningful next step. You may find that your biggest “drivers” aren’t driving much at all.

2. You can’t explain what’s influencing conversion

Ask yourself a simple question: what content that you’re publishing actually influences conversions? If you can’t answer it with confidence, you have a problem.

Most marketers, when asked off-the-cuff, can tell you what content converted (last-touch), and sometimes what content kicked off a journey (first-touch), but the space in between is still largely a black box. That “missing middle” has always been difficult to measure. Now, with AI shaping journeys upstream and users entering at unpredictable points, it’s even harder.

The consequence is that optimization becomes guesswork and proving impact becomes increasingly difficult. For marketers who find themselves working harder and harder to justify their budgets, that can become particularly tense.

What to do: Shifting from attribution to journey analysis requires some new thinking. Instead of asking “what was the last touch?” start asking “what sequence of content interactions led to conversion?” Knotch’s data has found, for example, that a single piece of content – no matter how much time a visitor spent on it – is less likely to convert on its own, and that the progression through your site is what’s most crucial. You may find that even if last-touch content was what ultimately sealed the deal, that the most influential and persuasive content in the journey was actually somewhere in that “missing middle.”

3. Your content strategy is driven by output, not insight

This is a tempting situation for marketers: AI can help speed up content production, from ideation to copyediting. So, wouldn’t that be a reason to produce more content with the same budgets and bandwidth? After all, the more content you have published, the more likely it is that something in there will resonate with audiences.

Not true. You can think of it this way: In a world where AI can generate content at scale, volume is no longer a competitive advantage. In fact, it often leads to redundancy and dilution. What your content really needs is intelligence: a clear understanding of what’s working, what’s not, and where the real opportunities for impact lie.

As Knotch’s Keith Wiegold said in one of our recent workshops, “Simply creating more content isn’t the goal. The goal is to understand what content is actually working and build from there.”

What to do: Treat content as a feedback-driven system, not a production pipeline. This means continuously connecting performance signals (engagement, journey behavior, conversion impact) back into planning. Expect that you’ll be using this feedback to optimize and update content long after it’s been initially published, even when there isn’t a site overhaul in the works.

4. You can’t prove impact beyond engagement metrics

Engagement metrics like time on page, scroll depth, and bounce rate are useful. But taken on their own, they’re not enough. According to Knotch’s research, while they may be a helpful indicator of how compelling a piece of content was, they aren’t the best metrics for identifying content that’s likely to convert. In today’s environment, that distinction is critical. To quote Knotch’s David Brown, your goal is “understanding not just if someone came to a page, but what they did next and how that contributes to the journey.”

As scrutiny on marketing spend increases, especially at the executive and finance level, teams are being asked to do more than report activity. They need to demonstrate contribution to real business outcomes like pipeline, revenue, and retention. Without that connection, content remains vulnerable. It’s seen as a cost center rather than a growth driver.

What to do: You’re going to want to close the loop between content and outcomes. This doesn’t mean every piece of content needs a direct line to revenue. But it does mean that your reporting process should establish a clear relationship between content engagement and downstream impact – whether that’s conversion, lead quality, or customer behavior over time.

You can start by choosing one high-value action (e.g., demo requests, sign-ups) and analyze which content is most frequently consumed before that action occurs. Even being able to draw a basic correlation is a step toward proving value.

Ready to get to work?

AI has made it clear that the well-established ways of measuring content performance are no longer sufficient. But the good news is that you don’t need to solve everything at once. Start with these litmus tests, take simple steps to adjust your team’s approach to them, and see what else begins to unfold. A curiosity- and experimentation-driven approach will get you far – after all, it’s often the small changes that make the biggest difference.

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Published on April 1, 2026

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