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Today — 20 April 2026Main stream

Rand Fishkin: Zero-click search began long before AI

20 April 2026 at 17:20

Rand Fishkin didn’t get into SEO because he saw the future.

He got into it because he had no choice.

In the early 2000s, Fishkin helped run a small web business with his mom in Seattle. They hired another company to do SEO until they couldn’t afford to pay them anymore.

That moment pushed him into search marketing. More than 20 years later, Fishkin has become one of the best-known voices in SEO — and one of Google’s biggest critics.

In this interview, he looks back at how search has changed, what went wrong, and what may happen next.

Early SEO was wild

SEO today can feel messy. But in the early days, it was even more chaotic.

“There was no social media,” is how Fishkin described that era, where forums like WebmasterWorld and Search Engine Watch were the center of the industry.

People shared tactics openly. Many of those tactics were risky. Buying links was common — and effective.

Fishkin did it, too. Then Google’s Matt Cutts called him out in public.

That moment changed how he approached SEO. He spent years focusing on “white hat” practices and following Google’s guidelines.

Looking back, though, Fishkin now questions whether that shift went too far. He believes Google’s own behavior over time has made those guidelines harder to trust.

The early industry wasn’t just chaotic — it was also full of strange and memorable moments. Fishkin recalled massive conference parties with huge budgets and over-the-top ideas, including a staged “retirement” of the Ask Jeeves mascot.

But what stood out most to him wasn’t the tactics or the parties.

“My favorite thing… is people,” he said, pointing to the relationships and friendships built over decades in search.

When Google stopped sending traffic

Many people think AI is the big turning point in search.

Fishkin says the shift started much earlier — around 2011.

That’s when the idea of “zero-click search” first appeared. Google began answering more queries directly on the results page instead of sending users to websites.

At first, it was small features like weather boxes and calculators.

Then it grew:

  • Around 2016–2017: nearly half of searches ended without a click
  • By 2018: more than half
  • Today: more than two-thirds

Fishkin emphasized that this trend didn’t start with AI — it has been building for more than a decade.

Publishers had a chance — and missed it

Fishkin believes publishers could have taken action early — but didn’t.

  • “The time to fight back… was 15 or 20 years ago,” he said.

In his view, large media companies should have worked together to push back against Google’s growing control. They could have demanded payment for content or limited how Google used it.

Instead, they allowed Google to crawl and use their content freely.

At the same time, Google expanded its influence through lobbying and policy.

  • “Publishers just missed that opportunity,” Fishkin said.

Now, he argues, the focus has to shift to adapting:

  • Build subscription businesses
  • Monetize attention, not just traffic
  • Learn how to operate within platform ecosystems

Some companies have already made that shift. Fishkin pointed to The New York Times as an example of a business evolving beyond traditional news consumption.

Did Google change?

Fishkin does not believe Google has become worse for users.

  • “If it was easier or better to search on Bing… people would go to those places,” he said.

But he does believe Google has become much harder for publishers and creators.

The change, he said, was gradual. As Google grew, went public, and aligned with investor expectations, its priorities shifted toward growth and revenue.

  • “They became the people that they spent time with,” Fishkin said.

The biggest AI mistake people make

Fishkin says most people misunderstand how AI works.

They treat AI answers like search results — consistent and reliable.

But they aren’t.

If you ask the same question multiple times, the answers can vary widely.

  • “You will get completely different answers. And if you do that 10 times, you will get 10 incredibly unique different answers,” he said.

His advice is simple: don’t rely on a single response. Ask multiple times and look for patterns. If the same answer shows up consistently, it’s more likely to be trustworthy.

This matters most for important decisions, like health or finance, where relying on one answer could be risky.

What he misses about the early days of SEO

Fishkin doesn’t miss a specific tactic or tool.

He misses the level of opportunity that existed in the early web.

Back then, smaller creators and independent sites had a better chance to succeed. Traffic was more evenly distributed.

  • “The world of clicks and traffic… was so… flat compared to… today,” he said.

What’s next?

Fishkin believes the future of media and search may look more like the past.

He expects a smaller number of powerful platforms to control most of the flow of information.

At the same time, individual creators will still produce much of the content — but within those systems.

Still, he hopes the web can evolve again.

💾

Fishkin also discussed AI’s unreliable answers, Google reducing organic visibility, and why early SEO offered more open opportunities.
Before yesterdayMain stream

AI traffic converts better than non-AI visits for U.S. retailers: Report

17 April 2026 at 18:49
AI traffic conversions grow

Traffic from AI sources increased 393% year-over-year in Q1 and 269% in March. But the real surprise? AI traffic is converting better than last year.

  • AI-driven visits converted 42% better than non-AI traffic in March. A year ago, AI traffic was 38% less likely to result in a purchase.

By the numbers. Traffic from AI sources increased engagement by 12%, time on site by 48%, and pages per visit by 13%. Adobe also surveyed consumers and found that:

  • 39% have used AI for shopping. Of those, 85% said it improved the experience.
  • 66% believe AI tools provide accurate results.

What they’re saying. According to Vivek Pandya, director of Adobe Digital Insights:

  • “Notably, AI traffic continues to convert better (visits that result in purchases) than non-AI traffic, which covers channels such as paid search and email marketing.”

Yes, but. While consumer adoption is up, and traffic, engagement, and conversions are growing, many retail sites still aren’t fully optimized for AI visibility, especially on product pages, according to Adobe.

Why we care. Until now, reports have been mixed on whether AI traffic is better, equal to, or worse than organic search traffic (see our Dig deeper resources below). That may be changing, as we expected it would. Like generative AI, AI shopping today is as bad as it will ever be, meaning this channel’s value will only increase.

About the data. Adobe’s findings are based on direct transaction data from more than 1 trillion visits to U.S. retail websites. The company also surveyed more than 5,000 U.S. consumers to understand how they use AI to shop.

The report. Adobe report: U.S. retailers see surge in AI traffic, but many websites are not entirely readable by machines.

Dig deeper.

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