{"id":990,"date":"2025-12-23T19:17:29","date_gmt":"2025-12-23T19:17:29","guid":{"rendered":"https:\/\/artificialintelligencesummit.com\/blog\/?p=990"},"modified":"2026-08-07T20:10:52","modified_gmt":"2026-08-07T20:10:52","slug":"8-ai-trends-that-will-reshape-marketing-in-2026","status":"publish","type":"post","link":"https:\/\/artificialintelligencesummit.com\/blog\/p\/8-ai-trends-that-will-reshape-marketing-in-2026\/","title":{"rendered":"8 AI Trends That Will Reshape Marketing in 2026"},"content":{"rendered":"\n

The AI marketing world is splitting in two. One camp where marketers use AI to amplify their work, and another where they’re trying to understand why they\u2019re falling behind.<\/p>\n\n\n\n

2026 is the year that the divide becomes permanent.<\/p>\n\n\n\n

The question of “should we use AI?” is yesterday\u2019s news. But that doesn\u2019t mean AI can be used without care, throwing marketing best practices out of the window.<\/p>\n\n\n\n

What matters now is understanding how AI changes how customers interact with businesses, and how you can leverage tools to your advantage.<\/p>\n\n\n\n

Here are eight undeniable AI trends that will define marketing going forward.<\/p>\n\n\n\n

1. Agentic AI Goes From Pilot to Production<\/h2>\n\n\n\n

AI has primarily operated only when prompted, but that\u2019s changing now as agents begin to operate autonomously in the background.<\/p>\n\n\n\n

Gartner projects<\/a> that 40% of enterprise applications will include AI agents by the end of 2026, up from less than 5% in 2025.<\/p>\n\n\n\n

Agentic systems like Salesforce’s Agentforce, HubSpot’s AI agents, and tools like Relevance AI or Zapier’s new AI Actions don’t wait for instructions. You set goals, they figure out how to achieve them, whether that\u2019s handling lead nurturing, content optimization, competitive monitoring, or campaign adjustments.<\/p>\n\n\n\n

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Agentforce embedded on Salesforce\u2019s website.<\/figcaption><\/figure>\n\n\n\n

McKinsey reports<\/a> companies have accelerated campaign execution by 15x, reduced customer service time by 25%, and lifted satisfaction by over 800% in some cases. One European insurer redesigned its entire commercial model in 16 weeks using embedded agents throughout the sales journey.<\/p>\n\n\n\n

If your existing software platforms offer agentic functionality, start to experiment. If you\u2019ve tried tools like Zapier before but couldn\u2019t get value out of them, you might find they\u2019re considerably more accessible now.<\/p>\n\n\n\n

2. GEO\/AI SEO\/LLMO Replaces SEO as the Visibility Game<\/h2>\n\n\n\n

2025 was the year AI challenged the classic search engine that has defined the internet since the late 90s. ChatGPT first teamed up with Microsoft to embed Bing into their chatbot.<\/p>\n\n\n\n

Google then rolled out the AI Overviews feature, which now appears in nearly all search results. Add smaller players like Perplexity, and the direction of travel is key.<\/p>\n\n\n\n

Remarkably, 60% of Google queries<\/a> now end on the SERPs. Your beautifully optimized content? It might feed the AI overview and SERPs ranking still, but they don\u2019t see it.<\/p>\n\n\n\n

Enter Generative Engine Optimization (GEO), also called Large Language Model Optimization (LLMO) or just AI SEO \u2013 the practice of getting your brand cited in AI-generated answers instead of ranked on a search page.<\/p>\n\n\n\n

The problem? <\/a>Fewer than 10%<\/a> of sources cited in ChatGPT, Gemini, and Copilot rank in Google’s top 10 for the same query. Your SEO strategy isn’t transferring, and this is a nascent area of marketing that no one has definitively \u2018won\u2019 yet.<\/p>\n\n\n\n

There are a few emerging best practices:<\/p>\n\n\n\n