B2B answer engine optimization: How to show up in AI

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When buying committee members ask AI tools like Google’s AI Mode about potential vendors, each answer names a select number of brands. And you’re far more likely to be considered if your brand is one of them. B2B answer engine optimization (AEO) is how your brand earns a place in those AI-generated answers. In this guide, we’ll cover exactly what B2B AEO is, why it matters now, and how to implement it.What is B2B answer engine optimization?B2B answer engine optimization is the process of using marketing practices to increase how often your brand appears in the AI-generated answers your prospective buyers see. Some marketers also call this practice B2B generative engine optimization (GEO), though the terms are used interchangeably in most contexts.How is AEO different for B2B brands?AEO is different for B2B brands because it involves multiple stakeholders asking different questions, long buying cycles, and answers that draw heavily on practitioner communities and business review platforms. Different stakeholders ask different questionsDifferent buying committee stakeholders ask different questions based on their roles, which means your brand needs to appear in the AI answers for a wide range of questions. For example, we asked ChatGPT about the best customer relationship management (CRM) system for a mid-market company in two ways. One prompt focused on security and compliance the way a security reviewer would. The other focused on affordability the way a finance lead would. The security-focused answer led with Salesforce and Microsoft Dynamics 365. The affordability-focused answer ranked Zoho CRM first and positioned Salesforce as the expensive enterprise option. Freshsales and Pipedrive appeared only in the affordability-focused answer.Buying cycles last for months B2B buying cycles last for months, so your brand needs to keep accurately appearing in AI answers for as long as buyers are researching.B2B buyers spend an average of 10.1 months on a purchase, but the shortlist forms almost immediately, according to a 6sense report from 2025. The months that come after are spent validating that shortlist. And large language models (LLMs) are a key part of that long research process.AI answers draw heavily on specific third-party sourcesAI answers about B2B vendors rely heavily on business review platforms, third-party comparison content, and practitioner communities, so your AEO work has to extend to platforms you don't own. Our AI visibility study shows review platforms like G2 rank among the most-cited sources in digital technology categories.Here are some of the third-party sources AI uses to find information about B2B vendors: Business review platforms: Your profiles and category pages on G2, Capterra, TrustRadius, Clutch, and GoodFirms Third-party comparison content: "Best [category] providers” roundups, “[brand] alternatives” lists, and “[brand A] vs. [brand B]” comparisons published by trade publications and mainstream media sites. Practitioner communities: Subreddits and industry forums where buyers discuss options with peersWhy does B2B AEO matter right now? B2B AEO matters right now because buying committees already use AI to research vendors, which means your ability to be shortlisted depends on appearing in AI-generated answers with accurate information.In our survey of 600+ U.S. B2B professionals, 92% of those who use AI say it shapes their vendor shortlist. And 54% of those AI users are final decision-makers.Simply being named isn't enough, though. If an AI answer says your business doesn’t offer something it actually does, such as a service you launched recently, buyers may rule you out without ever contacting you.How to do B2B answer engine optimizationHere’s how to do answer engine optimization for your B2B business, step by step:Map questions by buying-committee role, not just by keywordMap separate question sets for each buying committee member role to optimize your content for the full breadth of relevant questions prospects ask about your offering.Most B2B buying committees include some mix of these roles: Technical evaluator: This committee member assesses whether your offering fits the organization's technical requirements, including processes the team already uses, compatibility with the system equipment, and what implementation involves Security and compliance reviewer: This member checks whether your offering meets the organization's security and regulatory obligations, such as certifications like SOC 2 or ISO, how you handle customer data, and who can access that data Legal reviewer: This member reviews contract terms, liability, and data processing agreements before anything gets signed Finance lead: This member evaluates pricing, total cost, and expected return on investment (ROI) Procurement manager: This member negotiates terms and assesses vendor stability, service-level commitments, and renewal conditions End user: This member judges whether your offering works for their day-to-day needs, including ease of use, and fit with existing workflows To find out who sits on the committees buying from you, ask your sales team who joined the calls on your last 10 closed deals. That gives you real roles to map questions to.Next, find the prompts these buyers enter into AI tools. Enter a broad topic that represents what committee members would ask about your business category into Semrush's Prompt Research tool.Click the “Prompts” tab to see the individual prompts. Use the “Filter by topic” search bar to narrow the list by terms a given role would use, like “security” or “pricing.” Then, build a working list of every prompt relevant to your business category. Click "View full response" in any row to see how different AI platforms answer it, which brands they mention and which sources they cite.Then group your prompt list by role. Add all the relevant prompts you found to a spreadsheet and sort them by which stakeholder would ask each one. An AI assistant like Claude can