AI search behavior: What it means for your marketing strategy in 2026
Resources and ideas to put modern marketers ahead of the curve Insights and strategies for managing contacts, pipelines, and customer relationships at scale Guidance on automations that personalize campaigns, nurture leads, and drive growth Tactics to align marketing and sales, close deals faster, and support modern selling teams Ideas and best practices for delivering seamless support and memorable customer experiences Tips for building high-performing websites and content that attract, convert, and educate Resources for measuring performance, reporting results, and turning data into action Practical perspectives on using AI to streamline work and scale smarter marketing efforts Strategies for selling online, managing payments, and optimizing the digital buying experience Original research, data-backed insights and industry analyses All of HubSpot's marketing, sales, and customer service software on one agentic platform. Marketing Hub Marketing automation software Free and premium plans Service Hub Customer service software Free and premium plans Content Hub Content marketing software Free and premium plans Revenue Hub CPQ, billing, and payments software Free and premium plans Agent Hub Your central home for building and managing AI agents across the platform Learn more AEO (Beta) Answer engine optimization tools that track and improve your brand's visibility in AI results Learn more Home Marketing AI search behavior: What it means for your marketing strategy in 2026 AI search behavior: What it means for your marketing strategy in 2026 Written by: HubSpot Staff AEO GRADER See how visible your brand is in answer engines. Learn where you can improve to increase brand awareness and sentiment. AI search behavior may be causing a dip in your traffic, but it’s also sending higher-quality leads your way. For marketers, that second part is a massive win. AI search was the number one predictor of purchase intent for CRM software buyers, according to HubSpot’s State of AEO 2026 report. And there are more findings from the report that every go-to-market team needs to know. In this article, I’ll share the latest findings on AI search behavior, its impact on brand discovery, an answer engine optimization (AEO) strategy you can implement today, and much more. AI search behavior refers to the actions people take when they’re seeking answers using artificial intelligence, whether that’s asking ChatGPT or consulting Google AI Overviews. In the past, traditional search consisted of a user entering keywords into a search engine like Google, getting a list of blue links, and clicking them to find their answer. But search behaviors are changing. Today, users are increasingly turning to AI with conversational queries (usually a few sentences long) and reading AI-generated summaries that instantly fulfill their search. AI search behavior differs from traditional search behavior in that it becomes a multi-turn Q&A — an entire conversation in one chat, not just a click to a single webpage. Marketers should care about AI search behavior because it’s a growing part of search. SEO still determines which pages rank in the underlying search index, but answer engine optimization (AEO) determines which sources AI tools cite when composing summaries. Both have to be optimized in parallel, and increasingly, AEO is what influences whether buyers ever see your site listed in the first place. Yes, AI search behavior decreases organic traffic, but the good news is that the traffic that comes from AI is higher intent. HubSpot saw 3x better conversion from AI-sourced leads versus other channels in 2025. Referral traffic from tools like ChatGPT and Gemini has also tripled, according to Search Engine Land. AI-referred traffic converts better because summary-first experiences resolve the easy questions inside the answer engine itself. A reader asking “what is AEO?” doesn’t need to click a single result; they get a definition, sometimes a list of vendors, and move on. But a reader who clicks after reading an AI answer to their query, “how can a B2B marketing team of five implement AEO on their blog,” has usually progressed past that surface layer. They’ve validated their problem, seen who got cited, and want to verify, compare, or convert. That shift in funnel shape changes how you measure success. Clicks become a smaller, later signal in a journey that now happens partly inside the answer engine. The metrics that capture the rest of it look different: how often your brand surfaces in the summary, which competitors you appear alongside, and which prompts route the highest-intent traffic to your site. AI search behavior has reshaped brand discovery, too. The old canvas was predictable: ten blue links, a few ads at the top, maybe a featured snippet. Pre-AI, ranking #1 for a category term reliably put your brand in front of buyers. But AI answer engines, chat assistants, and copilots have replaced that canvas, and most of the visible page space now goes to the AI-generated answer itself, not the links beneath it. Just take a look at my recent Google search for “wordpress plugin for google analytics.” The AI Overview occupies most of the screen above the fold. Even though the page for GA Google Analytics holds position #1, it’s outranked by Site Kit in the AI Overview — and which do you think I’m more likely to click? Brands that previously ranked #1 for a category term are competing for a smaller slice of visible real estate, and the AI Overview itself decides which sources to cite. About 60% of Google searches now end without a click, according to SparkToro. In my opinion, that number is likely to keep climbing as more queries trigger AI-generated answers. Branded search has held up. Buyers who already know your name still type it and land on your site. Category-term discovery is where AI search has hit hardest: Google serves AI Overviews for non-branded queries 1.9x more often than for branded ones, according to Ahrefs. A query like “what is the best software for video editing” no longer returns just a list of blue links to evaluate. It returns one or two brands recommended by AI in a highly personalized output, sometimes with a comparison table, and the buyer often acts on that answer. HubSpot’s State of AEO 2026 found that 42% of CRM software buyers used AI search to evaluate vendors. Across the full set of evaluation activities tracked in the report, AI search ranked as the strongest predictor of purchase intent for CRM buyers. When an answer engine names your competitor in that recommendation, the deal is often decided before your sales team knows the buyer exists. Entity clarity, topical authority, and reputation signals now determine which brands answer engines surface. Each plays a distinct role: In the old model, signals like links, keywords, and authority won blue-link visibility, and reputation grew from there over time. Those signals still matter, but in AI search, they get evaluated by an answer engine before a prospect ever reaches your site. By the time someone clicks through, they’ve usually weighed several options inside an AI answer — including, hopefully, you. Content planning for AI search behavior starts with prompts instead of keywords, requiring a different approach to content marketing strategy. A buyer using AI rarely asks one isolated query. They start with one, then ask a follow-up, then a clarifier, then a comparison question. To earn citations across that whole multi-turn exchange, your content has to anticipate the sequence and be more comprehensive. Question mapping starts with a seed query and traces the follow-ups. Pick a question your category gets asked early in the funnel (“what is AEO?”), then write out the next five questions a buyer would logically ask (“how is AEO different from SEO?”, “do I need an AEO tool?”, “which AEO tools do marketers actually use?”, “how much does AEO software cost?”, “what’s the ROI of AEO?”). That sequence is what your content needs to answer collectively.
Source: HubSpot
This article has been carefully curated and reformatted for educational and informational purposes. Full credit goes to the original publisher.
📚 Visit more helpful articles on Joab Peters Blog
No comments