AEO

A purchasing manager opens their laptop to evaluate suppliers. They don’t open Google or email a sales rep; instead, they open their AI search tool and type in the question they need answering to find the best supplier with the technical capacity they’re looking for. In just half a minute, they have three endorsed recommendations, and for those three suppliers, the research phase is underway. For every other supplier with the same specific technical capabilities, the process is already over. They were never in the running. This is happening, and 95% of the time, the supplier that eventually wins the contract was on that first list. Decision Architecture Has Changed AI search now outranks company websites, product experts, and sales reps as the most meaningful research channel for B2B buyers. According to Forrester’s 2026 Buyers’ Journey Survey of nearly 18,000 global business buyers, twice as many named generative AI or conversational search as their primary research source compared to any other. The buying journey has been fundamentally restructured by AI-driven search. It’s highly likely now that when a buyer contacts your business, they’ve already done a significant amount of research, evaluations and comparisons. Traditionally, for industrial businesses, this discovery would sit within a sales conversation, but discovery now happens before. And what happens before needs to facilitate that sales conversation. Decisions are now being made in the research phase of your buyer journey, often with AI tools. The buyer journey has changed. B2B buyers are increasingly using AI tools to compare suppliers, research product information, and build internal business cases. As you know, complex industrial procurement involves large buying committees, thorough evaluation periods, and demanding technical specifications. Traditionally, your quality, track record, and network of relationships were what determined inclusion on the shortlist. Of course, those factors still matter at the evaluation stage, but they can only matter if you make the shortlist. And the shortlist is now being assembled somewhere very different. Your Hard-Earned Reputation Isn’t Visible Industrial businesses have built genuine reputations over decades, but that reputation isn’t available in an AI system’s world. Everything an AI system knows about your business comes from published, accessible, structured digital content. In the past, changes in the digital landscape haven’t particularly affected industrial businesses. Unlike consumer brands, many digital strategies haven’t been relevant to complex B2B companies. Instead, industrial businesses, whose customers are professionals in their sector and whose sales cycles are long and relationship-driven, have built authority over the years through trade shows and word of mouth across their customer base. This reputation is real and has been hard won, but however impressive it is, it exists in a world that AI systems simply can’t read. AI systems don’t know your real-world reputation. Everything they know about you is taken from published content. Whether that content has been published by you or has been published about you, the AI system will build an understanding of your authority and value from content in a form they can find and trust. In my experience, most industrial businesses haven’t traditionally prioritised content, resulting in a shallow digital footprint. Of course, your real-world experience and authority as a specialist B2B business exists, but this isn’t automatically mirrored in the AI world. Your value hasn’t been translated into the structured, credible digital content that AI systems need when they’re searching and deciding whom to cite. If this applies to your business, you’re not alone. According to the 2X AI Innovation Lab, almost 96% of B2B companies are invisible in AI-driven buyer discovery, appearing only when buyers already know the company name. And recent research from Digital Applied found that most manufacturers publish full marketing content for only 30-50% of their products, leaving up to 70% of their solutions invisible in search or AI citations. Now is the time for industrial businesses to put an AI discoverability strategy in place, as 73% of B2B buyers now use AI tools in their purchase research. Customer relationships and trade shows will always be valuable, but if your business doesn’t have a healthy AI discovery funnel, you simply won’t make the shortlist, and you’ll be missing out on market share. Even if you have AI integrated into your marketing strategy, is it being used effectively? Recent research from Technical Pro reveals that, among the 88% of B2B leaders who say AI is part of their marketing strategy, only 21% are confident it has been used successfully. Visibility success comes down to what you publish, where you publish it and how your content is structured. Your business has genuine expertise, but is unlikely to be cited in AI-driven search if that expertise isn’t accessible to AI systems. AI Systems are Advisors AI systems aren’t matchmakers; they’re acting more like advisors, making considered recommendations. AI search synthesises an answer and names a source, usually just three or four, unlike traditional search, which provides a list for the buyer to evaluate. Now that’s a whole different ball game. AI systems act as your trusted advisor and in the same way as a trusted human advisor would be, they’re considerate, conservative and favour sources they can trust and verify before presenting you with their recommendation. This makes the criteria for appearing in AI answers different from those for appearing in search engine results pages. As any trusted advisor worth her salt would, AI systems evaluate trust and credibility. They draw trust signals from verifiability, consistent information and whether your business is cited or referenced by others. It’s not about keywords and backlinks; it’s about finding the ‘truth’. To do this, AI systems draw on training data, live sources, and ranking signals to assess reliability before issuing an endorsement. The key here is that your company needs to be accessible to the AI System to be cited. It’s not unlike the supplier qualification process. You can be the best in the industry, but if you haven’t submitted the right documentation, in the right format, to the right place, your business won’t get