5 Search Marketing Predictions for 2026 (HUGE Changes)

Are you quietly wondering whether your search marketing strategy is already behind?

If so, you’re not being paranoid — you’re paying attention.

2025 has been, by most measures, the most disruptive year in search marketing since the discipline began. AI search platforms exploded into mainstream consciousness, Google’s own results started looking fundamentally different, and an entirely new generation of searchers arrived with entirely different habits. For marketing leaders, the pressure to respond — intelligently, not just reactively — has never been higher.

Charlie Marchant, CEO of Exposure Ninja, has spent 2025 speaking about AI Search strategy at events globally, working with FTSE 250 and DAX 30 companies as they navigate these shifts. In this piece, she shares her five biggest predictions for search marketing in 2026 — and what they mean for the decisions you need to make right now.

Executive Summary

• Multichannel search is the new normal. Google remains dominant, but people — especially Gen Z — are increasingly starting their search journeys on TikTok, YouTube, Reddit, and AI chatbots. Your brand needs to be discoverable across all of them.
• Technical SEO is making a comeback. Not because it went away, but because its importance has dramatically expanded. AI platforms rely on clean, well-structured websites even more than traditional search engines do.
• Agentic AI is coming — but not for everyone yet. Large-scale transactional businesses (think Expedia, Skyscanner, Ticketmaster) need to start preparing now. For most businesses, this is a 2027–2029 priority.
• Content pruning is the urgent task nobody’s doing. Years of AI-generated low-quality content are actively hurting websites. 2026 is the year that bill comes due.
• Brand citations are replacing backlinks. The obsession with hyperlinks is fading. What AI platforms care about — and what Google’s AI Overviews reward — is your brand being referenced, discussed, and cited across the web in meaningful context.

Why Has 2025 Been the Biggest Year of Change in Search Marketing?

Charlie doesn’t hesitate when asked this question. “2025 has probably been the biggest year of change for search marketing since I’ve worked in SEO,” she says. “And that’s because AI has pretty much changed everything.”

ChatGPT, Gemini, Perplexity, Claude, and Grok didn’t just appear in 2025 — most had been available for some time. But the end of 2024 was the moment mainstream business users started actually paying attention. And when they did, it triggered a wave of confusion, debate, and (in some cases) genuine strategic paralysis.

The SEO community spent much of the year arguing about definitions. AEO. GEO. LLMO. AI Search Optimisation. What’s the difference? Does it even matter? Meanwhile, the platforms kept growing. Businesses kept using them. And the gap between those already optimising for AI search and those still deliberating kept widening.

Charlie has witnessed this first-hand. At every global event she’s spoken at this year, she runs a quick temperature check: first, she asks the room how many people use AI platforms like ChatGPT regularly. Every hand goes up. Then she asks how many have actually started updating their website, SEO, or PR strategies to show up in AI search results. “Three, four, five people in a room — less than five per cent of the audience will raise their hand,” she says. “And that’s true in rooms of CMOs, COOs, and some of the best technical SEO minds in the industry.”

The conclusion is clear: we are still in the early adoption phase. The businesses making moves today are the ones who will have a meaningful structural advantage by the time the rest of the market catches up.

What Is Multichannel Search and Why Does It Matter in 2026?

Search has always been more than Google. But the degree to which that’s now true — and the speed at which it’s changing — makes multichannel search Charlie’s first big prediction for 2026.

“We are seeing people searching across different platforms,” she explains. “ChatGPT, Gemini, Perplexity, and other AI chatbots. But also TikTok, YouTube, sometimes Reddit. The channels that people use are changing.”

The clearest signal comes from Gen Z. A recent survey found that around 53% of Gen Z users now turn to TikTok, Reddit, and YouTube first — before ever opening Google. They still use Google, but it’s no longer the automatic starting point. For brands marketing to younger audiences, this shift is already happening. For everyone else, it’s coming.

The purchase journey has also become dramatically less linear. As I described it during the podcast, it’s more like a pinball machine than a funnel — a LinkedIn post leads to a YouTube video, which leads to a podcast, which leads to a deep-dive on an AI platform, which eventually leads to a Google search and a website visit. The traditional awareness-to-purchase model still applies in principle, but the number of channels involved — and the order in which they appear — has become far more fluid.

What does this mean practically?

• You don’t need to be everywhere. You need to be where your specific customers are searching. Understand your audience deeply before you spread your budget across channels.
• You don’t need separate content for every platform. A well-written blog post can become a YouTube script. A YouTube video can be broken into LinkedIn short-form clips. A content repurposing strategy removes the need to reinvent the wheel for each channel.
• The same SEO content can serve both Google and AI platforms — as long as it’s well-structured, properly formatted, and genuinely answers the queries users are asking. Google’s AI Overviews and ChatGPT are both drawing from the same pool of high-quality content.

The businesses that will thrive in multichannel search aren’t the ones trying to do everything at once. They’re the ones who know exactly where their customers are, and show up there with the right content in the right format.

Why Is Technical SEO Making a Comeback?

Charlie’s second prediction might be the least glamorous — but it could be the most commercially significant.

“Technical SEO hasn’t died,” she acknowledges, “but let’s be honest, it’s quite dry, and I don’t think it’s the bit that gets people excited.” What has changed, however, is the stakes. The same technical foundations that underpin strong Google rankings — schema markup, site health, crawlability, clear internal linking, no broken pages — are now equally critical for AI search platforms.

AI systems don’t browse the way humans do. They rely heavily on structured data, clean technical architecture, and unambiguous entity relationships to understand what a website is, what it sells, and who it serves. A site with technical errors — broken links, poor internal linking, unclear schema, slow load times — will simply be skipped. There’s no patience for it.

This matters even more as agentic AI begins to emerge. Charlie explains: “AI agents that are essentially running virtual browsers and doing part of the process for you — whether that’s shopping for pet food or booking flight tickets — they’re not going to continue on a site with errors. If there’s technical errors on the site, they’re just going to use a different website.”

The frequency of technical SEO attention should reflect the size and complexity of your site:

• Small websites can typically manage with a quarterly technical review.
• Large eCommerce stores or corporate websites need technical SEO treated as an ongoing, weekly discipline.

If your marketing team has been treating technical SEO as a one-and-done exercise — something you handled in the first month of an SEO campaign and haven’t revisited — 2026 is the year to change that habit.

What Role Will Agentic AI Play in Search in 2026?

Agentic AI — where AI systems don’t just answer questions but actively complete tasks on your behalf, like browsing websites, comparing prices, and making purchases — is Charlie’s third prediction. It comes with an important caveat: for most businesses, this is not a 2026 priority. But for the biggest players, it already is.

“I think Agentic AI optimisation is going to be a trend in 2026, but there’s a huge ‘but’ — I think this is for the big players,” says Charlie. “I’m talking about businesses like Expedia, Skyscanner, Ticketmaster — those huge businesses who know this Agentic AI is going to start influencing purchase decisions.”

Mainstream adoption of AI agents is still slow. The current reality is that using an AI agent to complete a task often takes more effort than just doing it yourself. Most users don’t know these features exist. The interface is still too manual, too visible, and too imperfect to feel like a seamless experience.

But that will change — and history suggests it’ll happen faster than expected. Charlie draws a parallel with Google’s AI Overviews: “If someone had asked you five years ago, ‘Would you be happy with Google answering your questions with AI?’, I think most people would have said no. Ultimately, those AI Overviews were forced upon us. Google decided that was the direction their search engine was going. We’ll probably see the same for Agentic AI.”

The key triggers to watch are ChatGPT’s growing integration with Shopify and eCommerce platforms, and the point at which agents become frictionless enough that users don’t even notice they’re using one. When that happens, the brands that have already made their sites agent-ready will capture disproportionate share. For most businesses, the preparation is simply a continuation of good technical SEO. For the large transactional players, more strategic groundwork is needed now.

Why Does Your Website Need a Content Pruning Strategy?

If 2024 and 2025 were the years of AI-generated content at scale, 2026 is the year of reckoning.

Charlie is direct about it: “I think 2026 is going to be the year where people realise, ‘Ah, we’ve got all of this really low-quality content on our website and it’s not doing anything.’ And now they’re actually going to have to pick up the pieces of those marketing decisions.”

The problem is structural. When businesses publish hundreds of thin, AI-generated articles across loosely related topics, it creates confusion — not just for human readers, but for AI systems trying to understand what the website is actually about. A site that publishes authoritative financial services content alongside AI-spun articles on tangentially related lifestyle topics sends contradictory signals. It muddles entity relationships. It dilutes topical authority. And it can actively suppress the performance of your best content.

Charlie uses a garden metaphor to frame the decision:

• Weeds — content that adds no value, confuses your site’s purpose, and should simply be removed.
• Thriving rose bushes — your best-performing content, which drives real traffic and conversions. These need careful, measured maintenance, not aggressive intervention.
• Rose bushes that have overgrown — decent content that needs a seasonal prune: remove repetition, sharpen the focus, improve structure, and strip out the kind of AI-isms (hollow phrases, unnecessary caveats, repetitive summaries) that confuse AI systems.

One client case study illustrates this perfectly. A financial services client had a strong blog post on mortgage calculations — it ranked on page one of Google and was technically well-written. But it was riddled with internal repetition and duplicated sections. AI platforms weren’t surfacing it in their responses, and it wasn’t appearing in Google’s AI Overviews. After Exposure Ninja cleaned the post — removing duplication, tightening the structure, and stripping out AI-isms — it began appearing in AI Overviews for a commercially valuable keyword almost immediately.

Content pruning isn’t in conflict with creating new content. The goal is not to have more articles — it’s to have the right articles, in the right shape, sending the right signals.

How Will Brand Citations Replace Backlinks as the New Currency of SEO?

Charlie’s fifth prediction may be the most significant structural shift on this list. After years of link-building as the dominant off-site SEO strategy, the game is changing.

“What I think we’re moving away from is needing to get this hyperlink,” she explains. “AI doesn’t need to see that backlink in the way it’s previously worked for traditional Google SEO. Now, we can just get our business referenced on third-party websites — whether that’s charity websites, local news, bloggers, all sorts — and I think the context around it is going to be so much more important than getting a specific link.”

The reason is rooted in how AI platforms generate answers. When ChatGPT, Gemini, or Perplexity responds to a query, it cites its sources — much like academic referencing. Those citations aren’t just about hyperlinks; they reflect which brands, products, and businesses have been meaningfully discussed across the web. The more your brand appears in relevant, contextually appropriate third-party content — reviews, comparison articles, awards, journalist features, user-generated content on Reddit and YouTube — the more AI systems learn what you do, who you serve, and why you’re credible.

Think about what someone researching the best CRM software actually encounters in an AI response. It’s not going to pull directly from a vendor’s own website and leave it there. It’s going to draw from review sites, tech blog comparisons, independent rankings, accreditations, and user forums. For your brand to show up consistently in those answers, it needs to be present and positively represented across all of those source types.

This doesn’t mean traditional link building is dead — it means its purpose is evolving. “The pure link-building part will start to become smaller,” says Charlie, “but it’s going to become eclipsed by a much broader, bigger, better strategy of digital PR — how do we make sure that we have loads of great PR about this business that isn’t just all about trying to get links?”

For businesses with existing press teams, this is genuinely good news. The skills are largely already there. The shift is one of scope and emphasis — from chasing hyperlinks to building a genuinely distributed brand presence that AI systems can discover, understand, and cite.

Next Steps

This week:

• Run an AI search visibility audit on your brand. Search for your key products or services in ChatGPT, Gemini, and Perplexity — does your brand appear? How is it described? What sources are being cited?
• Add a “Where did you hear about us?” field to your lead generation forms, with the option for free-text responses. This is the simplest and most underused attribution tool available to most marketing teams.
• Set up a channel group in Google Analytics (or a filter in Looker Studio) to separate out referral traffic from AI platforms. This gives you a baseline to measure against.

In the next 30 days:

• Conduct a content audit of your blog or resource section. Identify weeds (remove), overgrown rose bushes (prune and update), and thriving content (protect and maintain). Focus first on any content that’s highly repetitive or clearly AI-generated at volume.
• Review your technical SEO health. If you haven’t done a full technical audit recently, run one. Broken links, poor internal linking, and schema errors are no longer just Google problems — they’re AI search problems.
• Map where your target customers are actually searching. Don’t assume. Speak to recent customers, review sales call notes, and use tools like Semrush’s AI Visibility Toolkit to understand which platforms are influencing purchase decisions in your category.

In the next 90 days:

• Build a digital PR strategy focused on brand citations, not just backlinks. Identify the high-authority third-party websites, review platforms, and industry publications where your brand should be appearing — and develop a plan to get there.
• Allocate a dedicated experimental budget for AI Search Optimisation. It doesn’t need to be the majority of your marketing spend, but it needs to exist and it needs to be tracked.
• Develop a content repurposing workflow. If you’re producing video content, that script becomes a blog post. If you’re producing blog posts, those become YouTube videos and short-form social content. The same core content can feed multiple channels without requiring a proportionally larger team.

In Conclusion

The five predictions Charlie lays out for 2026 share a common thread: the window for first-mover advantage is still open, but it’s narrowing. Less than 5% of marketers — even seasoned professionals — have started actively adapting their strategies for AI search. The debate about definitions has cost a year of momentum for many businesses.

What’s clear is that the fundamentals haven’t been thrown out — they’ve been raised in importance. Strong technical SEO, high-quality content, a genuine brand presence across third-party platforms: these were always good practice. Now they’re table stakes for visibility in an AI-powered search landscape.

The businesses that will dominate search marketing in 2026 and beyond won’t necessarily be the biggest or the best-resourced. They’ll be the ones who understood what was changing, acted early, and built the right foundations while their competitors were still debating the terminology.

If you want to understand exactly where your brand stands in AI search right now, request a free marketing review from Exposure Ninja. We’ll show you what AI platforms are saying about your brand, where the gaps are, and what to do about them.