AI Is Changing Discovery, Not the Fundamentals of Marketing

Six takeaways from Semrush Spotlight 2026 and why the future of marketing might be more familiar than we think.

We attended Semrush Spotlight 2026 this week, where some of the industry’s leading thinkers explored how artificial intelligence is reshaping search, discovery, content and marketing effectiveness.

Speakers from Forrester, Microsoft, TikTok, GrowthX and others offered different perspectives on what comes next. But across the sessions, six recurring themes emerged.

And perhaps the biggest takeaway was that, despite everything changing, the fundamentals of effective marketing remain remarkably consistent.

1. Discovery is changing, and brands need to adapt

The traditional journey from searching to clicking to purchasing is becoming increasingly fragmented.

Consumers are using AI assistants to research products, compare options and discover brands, often without visiting a website.

This creates a significant challenge for marketers. Ranking highly on Google is no longer enough when recommendations and consideration sets are increasingly influenced by AI platforms.

Brands need to understand where their audiences are discovering information and how they can influence those moments, whether through search, social, publishers, communities or AI-generated recommendations.

2. Trust is becoming a competitive advantage

One particularly interesting theme was the growing importance of independent validation.

As AI platforms draw upon reviews, expert opinions, publishers and other sources to inform recommendations, brand reputation becomes directly connected to discoverability.

This reinforces something marketers have always known: people are more likely to choose brands they recognise and trust.

The difference is that trust now influences not only human decision-making but potentially which brands AI systems recommend.

Building credibility through PR, partnerships, customer experiences and independent endorsements is becoming increasingly important.

3. Audience understanding remains everything

Despite the technology dominating conversations, several speakers returned to a surprisingly familiar principle: understand your audience.

What questions are people asking? What frustrates them? What motivates their decisions? What problems are they trying to solve?

These insights have always been fundamental to effective marketing.

AI can accelerate research, identify patterns and help develop more relevant communications. But without genuine audience understanding, it simply enables marketers to produce the wrong things more efficiently.

Technology doesn’t replace insight. It makes good insight more valuable.

4. More content isn’t necessarily better marketing

AI has made producing content faster and cheaper than ever.

But just because brands can generate hundreds of assets doesn’t mean they should.

Several speakers challenged the industry’s obsession with content volume, impressions and constant production.

As the internet becomes flooded with increasingly similar AI-generated material, distinctive brands and memorable creative will become more valuable.

The challenge isn’t simply getting more content in front of people. It’s creating something that actually makes them think, feel or do something.

5. AI should make marketers smarter, not just faster

There was considerable discussion about automation, AI agents and the opportunities to streamline marketing operations.

But the strongest message was that competitive advantage comes from better decisions, not simply completing more tasks.

AI can analyse information, identify opportunities, challenge assumptions and improve optimisation.

However, it still needs clear objectives, structured processes, specialist expertise and human judgement.

The opportunity is to combine technology with experience and strategic thinking, rather than assuming automation itself delivers effectiveness.

6. Measurement must move beyond clicks

Perhaps one of the most significant implications of AI-driven discovery is what happens to measurement.

If someone researches a brand through an AI assistant, receives a recommendation and subsequently purchases elsewhere, how do we measure that influence?

Traditional digital metrics such as traffic, clicks and last-click conversions increasingly tell only part of the story.

Marketers need to understand how activity influences awareness, consideration, preference and ultimately commercial outcomes.

That means combining different measurement approaches rather than relying on individual platforms to demonstrate their own effectiveness.

The bigger picture: marketing hasn’t changed as much as we think

Our biggest takeaway from Semrush Spotlight wasn’t that AI is fundamentally rewriting the rules of marketing.

It’s that AI is changing the environment in which marketing operates, while reinforcing the importance of getting the fundamentals right.

Understanding audiences, building trust, creating distinctive brands and influencing behaviour remain central to delivering measurable business results.

What is changing dramatically is the complexity of the media landscape.

Discovery is fragmenting across search engines, social platforms, AI assistants, publishers and communities. Meanwhile, major technology platforms are increasingly pushing automated, black-box advertising solutions that promise to do everything for marketers.

But handing over control isn’t necessarily what brands want or need.

They still need transparency, strategic direction, independent advice and confidence that their investment is delivering genuine business value.

And this is where I think the opportunity for independent media agencies becomes particularly interesting.

The more fragmented the landscape becomes, the more valuable it is to have someone who understands how the different pieces fit together.

Media planning and buying isn’t becoming less relevant because of AI. Arguably, it’s becoming more important.

Our role is increasingly about navigating complexity, connecting audiences with opportunities, challenging platform recommendations and ensuring technology serves the marketing strategy rather than dictates it.

AI will undoubtedly change how we work. It should make us faster, more informed and more effective.

But the objective remains exactly the same.

Understand people. Influence decisions. Deliver results.