How to Get AI to Recommend Your Business | AEO in 2026

TL;DR: As search behavior shifts from traditional SEO to Answer Engine Optimization (AEO), businesses must ensure their brands appear positively in AI-generated responses; this article explains how to track brand presence across AI models, analyze source citations, and implement specific content strategies using tools like HubSpot AEO. ## The Shift from SEO to AEO A massive behavioral shift is occurring in how consumers discover products and services. For the past two decades, the standard model was simple: users searched on Google, businesses ranked high to get clicks, and converted visitors into customers. Today, users are asking AI assistants for recommendations. AI answers may mention your brand, your competitors, evaluate you positively or negatively, or omit you entirely. This is where **Answer Engine Optimization (AEO)** becomes critical. While SEO aims to place brands in search results, AEO aims to place brands within AI-generated answers. ### Why AEO Matters for Lead Quality Although conversational AI may reduce direct website traffic, it does not necessarily reduce lead quality. In fact, effective AEO can generate more high-quality leads. When a user asks AI, "What is the best tool for this?" and follows up with questions like "Which is better for small teams?" or "What are the downsides?", they are already comparing options and understanding trade-offs by the time they click a link. Leads coming from AI sources are **3 to 5 times more likely to convert** because trust has already been established through the AI's recommendation. ## Testing Your Brand's Presence in AI To understand how AI describes your brand, you can manually test major models like ChatGPT, Gemini, and Perplexity. ### Best Practices for Manual Testing * **Use Temporary Chats:** In ChatGPT, ensure "Temporary Chat" is on to prevent memory bias. * **Independent Accounts:** Ideally, use a separate account so the AI doesn’t "know" you and bias the results. * **Track Citations:** Note which brands are mentioned, how they are described, and—crucially—which sources the AI cites. For example, a single query might cite 10 different sources, many of which are obscure blogs or listicles. * **Cross-Platform Variation:** Answers and citations vary significantly between ChatGPT, Gemini, and Perplexity. Manual tracking is time-consuming and complex. To automate this process, tools like **HubSpot AEO** can be used to identify customer questions, track brand performance across answer engines, analyze influencing sources, and provide actionable improvements. ## Setting Up HubSpot AEO HubSpot AEO offers a 28-day free trial. The setup process involves configuring your business profile to generate relevant prompts for testing. 1. **Basic Info:** Enter your role, company name, size, and website. HubSpot analyzes your site to extract brand information, identify competitors, and research your audience. 2. **Brand Variations:** Review and add any missing brand name variations. 3. **Competitors:** Adjust the suggested list of companies that appear in the same AI answers as you. 4. **Products & ICP (Ideal Customer Profile):** Define your products and target customer types. HubSpot auto-generates these but allows for manual edits (e.g., adding specific platforms like YouTube). Once set up, the tool generates prompts based on your products, ICP, and buyer journey stages. ### The "Business-to-Bot-to-Consumer" Model Unlike SEO, which tracks keywords, AEO tracks complete questions, such as: * *"How can an AI tool directory help compare hundreds of options?"* * *"What is the best AI tool directory for productivity apps?"* This approach is described as **B2B to C (Business-to-Bot-to-Consumer)**. Your goal is to influence how the "Bot" describes you to the "Consumer." ## Understanding AI Sourcing and Query Fanout A key advantage of AEO for smaller brands is that AI does not rely solely on the top 10 Google results. Data suggests **60% to 80% of AI citations come from sources outside the top 10 Google rankings**. This is due to **Query Fanout**: AI systems often break a single question into multiple sub-queries (sometimes 10 or more), run them simultaneously, and synthesize the results. This creates a wider net for sources, offering opportunities for brands that may not rank high in traditional SEO to appear in AI answers. ## Analyzing Results: Prompts and Citations ### The Prompts Tab This section shows the actual answers generated by different LLMs (Large Language Models) for specific questions. * **Visibility Tracking:** You can see if your brand is mentioned in ChatGPT, Gemini, or Perplexity. * **Sentiment Analysis:** Mentions are highlighted to show how your brand is described. For example, in a test of "Futurepedia," the AI frequently described it as avoiding hype and focusing on useful content for professionals. * **Competitor Comparison:** You can see how competitors are positioned relative to your brand. ### The Citations Tab This tab breaks down where AI gets its information. * **Content Type Breakdown:** In many cases, **List Articles** are the largest category of citations (e.g., 35%), followed by multimedia, blogs, and then owned pages like homepages or product pages. Optimizing only owned pages misses the bulk of content AI relies on. * **Channel Breakdown:** Citations often come from "Peer" sites (non-competitor products), review sites, owned media, and earned media. For some businesses, User-Generated Content (UGC) like Reddit and YouTube may be dominant. * **Top Domains:** YouTube often ranks as a top cited domain. Since video transcripts are indexed, a 10-minute video acts like a 2,000-word article. High view counts and positive comments serve as strong trust signals. ### The Recommendations Tab HubSpot aggregates data into a prioritized action list. * **Specific Actions:** If your brand is missing from an answer, the tool identifies why. For example, if 50% of citations for a specific prompt come from list articles, the recommendation might be to write a listicle or outreach to existing listicles to include your brand. * **Content Suggestions:** Recommendations include suggested titles, summaries, target audiences, and keywords based on what drives citations. ## Strategic Takeaways for 2026 1. **Optimize for Questions, Not Just Keywords:** Focus on becoming part of the answer to natural language queries. 2. **Diversify Content Types:** Since listicles and third-party sites heavily influence AI answers, creating or contributing to this type of content is crucial. 3. **Leverage Video:** YouTube videos are highly cited due to indexed transcripts and trust signals. 4. **Monitor Sentiment:** Visibility isn't enough; ensure mentions are accurate and positive. 5. **Technical Foundation:** Your site must be fast, navigable, and crawlable so AI tools can access your FAQ and help center content directly. AEO is still in its early stages. While the goal of traditional search was to get traffic, the goal in the AI era is to **become the answer**. Source: [How to Get AI to Recommend Your Business | AEO in 2026](https://www.youtube.com/watch?v=-5Drsq6ve7w)