Digital marketing has shifted more in the last twelve months than in the previous five years combined.
AI search has rewritten how people find brands, generative engines are reshaping what "ranking" even means, and the cookie-led targeting playbook that defined the 2010s is being replaced piece by piece. The trends below are the ones actually shaping how brands are built, found and bought today, and the ones you'll see compounding through the rest of the decade.
1. Generative Engine Optimisation (GEO)
The single biggest shift in marketing in 2026 is the rise of AI-powered search. Google's AI Overviews, ChatGPT search, Perplexity, Claude and Gemini are now all pulling content from the web and citing it directly to users — often without the user ever clicking through.
Generative Engine Optimisation (GEO) is the discipline of getting your content cited by these systems. The good news: ~99% of Google AI Overview citations come from pages already in the organic top ten, and around 87% of ChatGPT citations correlate with Bing's top results. SEO is still the foundation. The new layer is structuring content for AI extractability — short, directly-answerable passages, FAQ schema, named expert authors, and verifiable, citable statistics.
If you're not optimising for GEO, you're not just losing future traffic, you're losing the brand mentions AI systems use to decide who's authoritative in your category.
2. AI-Powered Personalisation
Personalisation is no longer a "nice to have", it's a buyer expectation. The difference in 2026 is what's powering it. Customer data platforms now feed real-time AI models that adapt site content, email sequences, product recommendations and ad creative to individual users, often within the same session.
The brands winning here aren't doing fancier segmentation, they're doing fewer but smarter cohorts: high-intent visitors get one experience, returning customers another, lapsed customers a third. Each layer is increasingly built and adjusted by AI rather than handcrafted by marketers.
3. First-Party Data Strategy
With Apple's ATT framework biting, third-party cookies on the way out across all major browsers, and consumer concern about online privacy at all-time highs, the third-party data tap is closing. Around three quarters of consumers report being "very concerned" or "extremely concerned" about their online privacy.
The brands that thrive are the ones building genuine first-party data assets: their own newsletter list, their own SMS audience, their own loyalty programme, their own zero-party data captured via quizzes, preference centres and onsite surveys. If your marketing engine relies on retargeting strangers across the open web, the next two years will be painful.
4. Short-Form Vertical Video
Video remains the dominant content format, but the format inside the format has narrowed. Short-form vertical video, the TikTok, Reels and Shorts model, now accounts for the bulk of social ad spend and discovery for brands targeting under-45 audiences.
The cost of entry is low (a phone and a willingness to actually appear on camera), but the bar for quality is rising fast. Brands relying on stock-style B-roll and corporate voice-overs are being out-engaged by competitors that hire creators, work with founders on camera, or build in-house creative pods that ship daily.
5. Creator-Led and Influencer Commerce
The line between content creator and retailer has blurred. TikTok Shop and Instagram Shopping mean a video isn't just driving traffic to your site, it's the checkout. Affiliate-heavy creator partnerships now sit alongside or replace traditional influencer fees, with brands paying on attributed sales rather than reach.
The most effective creator partnerships in 2026 look more like collaborations than sponsorships: co-developed products, exclusive bundles, recurring formats. Brands treating creators as media buy line items are getting flat results.
6. Visual and Multimodal Search
AI-powered visual search has matured beyond party trick. Google Lens, Pinterest Lens and increasingly multimodal models inside ChatGPT and Gemini now let users search by photo with high accuracy, identifying products, finding similar items and pulling reviews.
For ecommerce, this means product imagery is now a search asset. Clean white-background shots, consistent product naming in alt text, structured product schema and high-quality lifestyle imagery all feed visual search engines. Brands optimising for image discovery are picking up traffic competitors aren't even monitoring.
7. Conversational and Agentic AI
Customers don't just browse anymore, increasingly they ask. AI assistants, in-store and on site, are handling product discovery, recommendation, comparison and even checkout. Shopify, Adobe and most major commerce platforms are building agent-friendly APIs, and brands are starting to publish llms.txt files and structured catalogue data designed to be read by AI agents on the customer's behalf.
If a buying decision can be made by an agent reading your site, your structured data, product feeds and content quality determine whether you're shortlisted or skipped. This is in its early days, but the brands building for it now will compound the advantage.
8. AR Shopping Experiences
According to Deloitte research, around 71% of consumers say they would shop more frequently if AR were part of their shopping experience. The technology has finally caught up to the promise: virtual try-on for cosmetics and eyewear, AR room visualisation for furniture and homeware, and 3D product viewers are now table stakes in several categories.
The brands that get the most from AR aren't building gimmicks, they're solving specific friction points. Will this sofa fit? What will this lipstick look like on my skin tone? Each answered question removes a reason not to buy.
9. Interactive and Two-Way Content
Quizzes, polls, interactive guides, choose-your-own-path videos, configurators. Interactive content keeps users engaged longer, surfaces zero-party data, and produces dramatically better conversion than passive equivalents. Research into learning retention has long suggested people remember roughly 20% of what they hear but up to 80% of what they personally experience, and interactive content leans into exactly that effect.
Pair an onsite quiz with an email sequence triggered by the answers, and you've built a personalisation engine that pays for itself within weeks.
10. UGC and Earned Social Proof
User-generated content is now central to both creative and conversion. Brands incorporating UGC see meaningful engagement lifts, and UGC videos consistently outperform brand-produced versions in terms of completion rate and click-through.
Beyond the engagement numbers, UGC and authentic third-party mentions are increasingly important to AI systems too. 94% of AI citations come from non-brand-owned sources, meaning earned mentions, reviews and community content are now as much a marketing asset as a homepage banner.
Where to start
If you do nothing else from this list, do these three: get your content structured for AI extractability, build a real first-party data asset, and start working with creators in your category. Those three alone will compound for the next five years.
Need a helping hand turning these trends into a plan? Get in touch with Limely.
