The way to approach long-tail searches has changed radically. Large language models (LLMs) no longer provide dozens of results for queries like "best e-commerce platform for SMEs"; now, they typically show only one, two, or three. If your brand does not appear in that small group, it simply disappears from the radar. This new user behavior has a direct impact on the visibility of startups and entrepreneurs. As Gómez-Campoy explains, "for entrepreneurs, it's a crucial change. Large companies have years of published content, while a startup is just beginning to build its story. AI learns from what already exists: if there are no public and positive signals about you, AI does not see you, does not cite you, and therefore, you do not exist." However, this scenario also opens up opportunities. "For a startup, it's a unique chance to compete with giants, as long as you are the most reliable and accurate source for a specific intent. But if you do not appear in these engines, your brand ceases to exist," warns the CEO of Copilot. The founder of MGC&Co adds that "a startup can gain visibility and authority faster than ever," although she warns that this visibility can be lost just as quickly if reputation is not managed. Experts recommend several strategies to improve presence on platforms like ChatGPT, Gemini, Copilot, Perplexity, DeepSeek, or Grok. Requena emphasizes the importance of optimization: "Most models do not execute JavaScript, so key content must be in plain HTML or server-rendered." The CEO of Copilot Agency points out that LLMs prefer short paragraphs, tables, lists, definitions, and FAQ sections. "Models cite what they can easily copy and paste," he notes. Additionally, he recommends implementing schema.org and structured data to increase the chances of being selected by Google AI Overviews and other engines. Each page must respond to a specific intent, as AIs penalize ambiguity and reward semantic clarity. It is also essential to gain mentions in media and platforms that LLMs track, such as Wikipedia, Reddit, YouTube, LinkedIn, Quora, or vertical portals. The founder of MGC&Co highlights the importance of real mentions: interviews, opinion articles, valuable content, and presence in reliable media. "Models constantly refer to these sources to build answers," Requena states. Quality filters, especially in Google AI Overviews, value the presence of visible authors, demonstrable experience, reliable sources, and clear data. Comparative tables, rankings, and lists of pros and cons are especially citable by Perplexity and ChatGPT. Requena insists on the need to measure: "A decade ago, no one optimized without Search Console. Now, you cannot optimize without knowing what AIs say about you." He also recommends maintaining consistency in brand name, descriptions, and claims so that models recognize you correctly. Gómez-Campoy emphasizes that "if each channel says something different, AI perceives narrative noise. An entrepreneur needs a clear and consistent story." Engines like Perplexity crawl content within hours, so being the first to talk about a topic is key. The CEO of Copilot Agency warns that "SEO and GEO are no longer the same. The first mistake is thinking we are still writing only for Google. If AI cannot extract content clearly, it will ignore it." He also points out that relying solely on blogs or traditional SEO techniques is a mistake, as models cite YouTube or Wikipedia more than corporate blogs. Not diversifying is starting to lose. Another mistake is prioritizing visual functionalities on the website without clearly defining the HTML structure, making it difficult for AIs to "read" the content. It is also essential to monitor how the brand is categorized: positive, neutral, or negative. "It's not enough for them to talk about you; they need to talk well," he emphasizes. The founder of MGC&Co insists on the importance of monitoring what AI says about the brand, as ChatGPT, Gemini, and Perplexity are already reputation spaces. Publishing without strategy generates empty content; communicating is creating signals of authority. AI distinguishes between visibility and credibility: paid visibility, earned credibility. Not defining the narrative from the start is another mistake: "If you do not tell your story, AI will tell it for you... or it won't tell it at all." Finally, she warns about the risk of creating superficial or automatic content: "AI recognizes what is duplicated, inconsistent, and lacking intention." Source: emprendedores.es