Stop Chasing Clicks, Start Creating Value: The Marketer's Guide to Winning the Zero-Click Future

In Part 1 of this conversation with Amanda Natividad, VP of Marketing at SparkToro, we spent a lot of time diagnosing the problem: disappearing clicks, broken attribution, and the growing discomfort marketers are feeling as familiar metrics have lost their (perceived) reliability.

In the second half, we’re focusing on the good news: what marketers get to do about the change.

What happens after you accept the reality of zero-click marketing?

How should it actually change the way you work, measure success, and think about your craft?

As it turns out, this shift is changing more than distribution and analytics. Now that clicks are disappearing and referral traffic is lying, marketers are in a new position to confront the quality, clarity, and intent behind the work we do.

Marketing is changing, yes. And even though measurement is trickier than ever, we’ve got great opportunities ahead of us.

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What You Can’t Measure, and What You Can Improve

One of the most important realizations that emerged in this half of the conversation is that zero-click marketing doesn’t make marketing easier, necessarily, but it does make shortcuts harder.

We’ve seen this pattern before. When Google search algorithms evolved, black-hat SEO stopped working, and marketers were forced to focus on creating genuinely helpful content.

The same thing’s happening now across social platforms, search, and AI-driven discovery.

Instead of optimizing for attraction, tricks, or forced conversions, marketers are being pushed back toward delivering actual value.

And while that transition is uncomfortable, it’s also clarifying. If your content can’t stand on its own — that is, if it only works when someone clicks — it’s unlikely to perform in a zero-click environment.

The New Metric for AI Visibility: Presence Over Time

Amanda also shared an important clarification about AI-driven discovery that many teams are getting wrong: AI doesn’t rank brands the way traditional search engines do.

If you ask tools like ChatGPT or Gemini for recommendations, the results vary from query to query. Think about it: that little “retry” button in Claude is a great way to think about it. Randomness is built into the system. You won’t get the same output twice.

That means there is no fixed “number one.”

What is measurable, though, is visibility percentage:

• How often your brand shows up across repeated, relevant prompts
• Whether you appear consistently — not necessarily first, but present

This matters because it reframes success. Instead of chasing rankings that don’t exist, marketers can focus on:

• Ensuring content is easy for AI systems to access and understand
• Avoiding unnecessary gating or technical barriers
• Publishing content that’s clear, indexable, and genuinely helpful for the user

Visibility, not position, becomes the signal to monitor and improve.

RELATED: How Falcon Rebuilt Industrial AI Search Visibility

When Measurement Gets Fuzzier, Craft Has to Sharpen

As attribution becomes less precise, something else becomes more important: judgment.

Amanda described this as taste: the ability to recognize what’s actually good, clear, and meaningful versus what’s merely passable or derivative and keyword-relevant.

And now that virtually any marketer using AI can produce content much faster, the differentiator isn’t speed. It’s discernment:

• Knowing when something is clear vs. jargon-filled
• Recognizing whether a message actually says something
• Being able to tell if content speaks to a real audience — even (and especially) if it’s not for everyone

Good marketing doesn’t have to appeal to everyone. It has to be clear to someone specific.

That kind of clarity is often the clearest signal that a brand “gets it.”

A Not-so-Hidden Risk of AI: Losing the Craft

One of the most candid parts of this episode came when I asked Amanda what she thinks marketers are likely to regret five years from now.

Not experimenting with AI won’t be the mistake we look back at. Letting AI replace core craft skills will be.

Writing, editing, storytelling, visual communication … These are crafts. And like any craft, they atrophy when they’re outsourced entirely. And right now, too many marketing professionals are feeling tempted, under pricing and time constraints — because “can’t AI just do it?” — to take our hands off the wheel almost entirely.

AI can accelerate execution, but it can’t replace:

• Empathy
• Original thinking
• Strategic judgment
• Creative restraint

Marketers who thrive in this next chapter will be the ones who understand why something works. And that’s deeply human.

What it All Means for Marketing Leaders

This moment requires a different approach to accountability:

Stop chasing perfect attribution. Start explaining impact across touchpoints. When customers research without clicking, traditional measurement simply falls short. Leaders need frameworks that account for assisted conversions, brand search lift, and offline inquiry patterns.

Stop prioritizing measurable tactics. Start investing in what actually influences decisions. Not everything that matters shows up in analytics. Thought leadership, educational content, and brand presence can effectively drive purchase intent even when they don’t generate immediate clicks.

Stop optimizing output. Start raising quality. Simply putting more content out there won’t necessarily improve visibility in AI systems or zero-click environments. But depth, accuracy, and usefulness will.

Zero-click didn’t eliminate accountability from the marketer’s job, but it is changing how we demonstrate it. And that’s through consistency, clarity, and cumulative impact rather than isolated conversions.

The Hard Part Hasn’t Changed

Zero-click marketing doesn’t require new foundational principles. It requires us to execute the basics well enough that AI systems and humans both find our content credible and useful.

And that is harder than it sounds.

Most organizations struggle with the fundamentals: understanding what their audience actually needs to make decisions, publishing content clear enough to answer those questions directly, and removing unnecessary friction from access. AI-driven discovery just makes those gaps more visible.

Teams that are adapting well aren’t chasing AI optimization hacks. They already know how to craft and distribute genuinely useful content for their specific target audiences. And lucky for them, they have good reason to keep doing it.

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Want to see Amanda and Chelsea speak in person? Join us for Experience Inbound 2026 in Milwaukee or Green Bay on April 28 or 29. Details and registration info here.