By Andy Crestodina<\/p>\n
As AI search engines like ChatGPT, Gemini, and Perplexity continue to gain popularity, the lines between traditional search engine optimization (SEO) and AI-driven lead generation are blurring. Many marketers are now exploring the potential of these new AI-first search engines, which promise to revolutionize the way we interact with customers. In this article, we\u2019ll take a closer look at the 9 steps involved in generating leads from AI search, from first prompt to final conversion, and explore why conversion rates from ChatGPT are significantly higher than those from traditional search engines.<\/p>\n
1. They go to an AI search engine<\/strong><\/p>\n Your future prospect just realized they need help. They have a problem, and rather than trying to solve it themselves, they want a new partner \u2013 a service or a business. This isn\u2019t an information-intent search, but a commercial-intent search. They\u2019ve decided to use AI to research options, so they go to ChatGPT, Gemini, or Perplexity, or start with their go-to search engine, Google or Bing, which guides them toward an AI-first experience.<\/p>\n The Shift from Information-Intent to Commercial-Intent Search<\/strong><\/p>\n Traditionally, search engines like Google provided users with options, and users clicked to gather information to consider. This process, although time-consuming and often laborious, allowed users to weigh options carefully. However, with the rise of AI chatbots, users are now engaging in conversations, not keyword searches. They share their problems and goals in prompts, and AI makes recommendations in the responses.<\/p>\n 2. They ask AI for a recommendation<\/strong><\/p>\n This is the big shift in user behavior. Rather than clicking around the web for information, users are now talking to AIs. They share their problems and goals in prompts, and AI makes recommendations in the responses. This conversation-based approach creates a fundamentally different experience, one in which AI provides users with options that match their precise needs.<\/p>\n The Differences between Traditional Search and AI-Powered Fouversions<\/strong><\/p>\n \u2022 Traditional search: Users search for keywords, browse results, and click for information to consider. 3. They get a customized response from AI<\/strong><\/p>\n In this step, AI search technology analyzes the user\u2019s prompt, identifies the best options, and generates a customized response that meets their specific needs. This response includes potential solutions, services, products, or other relevant information to help the user make an informed decision.<\/p>\n Personalization through Vector Embedding<\/strong> 4. They view their options and choose the best fit<\/strong><\/p>\n At this point, the user reviews the AI-generated options, evaluates each choice, and selects the solution that best meets their needs. This critical evaluation phase is crucial in AI-driven lead generation, as the user will ultimately decide which option to pursue.<\/p>\n Psychological Factors Influencing Decision-Making<\/strong> 5. They investigate the chosen option<\/strong> 6. They engage with the chosen option<\/strong> 7. They take action<\/strong> 8. They experience ongoing engagement<\/strong> The Future of AI-Driven Lead Generation<\/strong> 9. They become a loyal customer<\/strong> Conclusion<\/strong> FAQ<\/strong><\/p>\n What are the benefits of AI-driven lead generation?<\/strong> How does AI-powered search differ from traditional search?<\/strong> What is the key to successful AI-driven lead generation?<\/strong> Is AI-powered search the future of lead generation?<\/strong> In this article, we\u2019ve deconstructed the 9 steps involved in generating leads from AI search, from first prompt to final conversion. By understanding these steps and adapting strategies to meet evolving user needs, business can establish a competitive edge in the rapidly changing landscape of AI-driven lead generation.<\/p>\n","protected":false},"excerpt":{"rendered":"By Andy Crestodina\nAs AI search engines like ChatGPT, Gemini, and Perplexity continue to gain popularity, the lines between traditional search engine optimization (SEO) and AI-driven lead generation are blurring.\n","protected":false},"author":2,"featured_media":3819,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[50,46,47],"tags":[500,3874,3875],"class_list":["post-3820","post","type-post","status-publish","format-standard","has-post-thumbnail","category-business","category-marketing","category-technology","tag-ai-lead-generation","tag-chatgpt-seo","tag-gemini-ai"],"_links":{"self":[{"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/posts\/3820","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/comments?post=3820"}],"version-history":[{"count":0,"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/posts\/3820\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/media\/3819"}],"wp:attachment":[{"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/media?parent=3820"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/categories?post=3820"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/influencerswiki.org\/blog\/wp-json\/wp\/v2\/tags?post=3820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\u2022 AI-powered search: Users share their problems and goals in prompts, and AI provides recommendations that match their needs.<\/p>\n
\nAI\u2019s ability to generate customized responses relies heavily on vector embedding, a technique that enables the accurate identification of patterns and relationships in large datasets. However, vector embedding is a topic for another time\u2026<\/p>\n
\nResearch has shown that user decision-making is influenced by psychological factors such as perceived value, authority, and relevance. In AI-powered search, these factors are also at play, with AI-generated responses catering to the user\u2019s specific needs and preferences.<\/p>\n
\nOnce the user selects the best option, they will likely visit the website or platform to learn more about the chosen service or product. This investigation phase is an essential step in building trust and facilitating a successful conversion.<\/p>\n
\nAt this stage, the user interacts with the chosen service or product, and the brand or business can tailor their experience to meet their evolving needs.<\/p>\n
\nFinally, the user takes action \u2013 purchases a product or service, books an appointment, or completes a transaction. This is the ultimate goal of AI-driven lead generation: to drive conversions and generate revenue.<\/p>\n
\nIn a successful AI-driven lead generation strategy, ongoing engagement is key. The user should feel supported throughout their journey, with AI-powered solutions addressing their ongoing needs and concerns.<\/p>\n
\nAs AI search engines continue to evolve, they will reveal new insights into user behavior, preferences, and pain points. While SEOs may face challenges in understanding the complexities of AI-powered search, embracing these new technologies and tailoring strategies to meet evolving user needs will be crucial for success.<\/p>\n
\nAnd so, the journey comes full circle: the prospect becomes a loyal customer, converting from an AI-driven lead to a satisfied repeat user.<\/p>\n
\nIn conclusion, reverse engineering AI leads offers valuable insights into the 9 steps involved in generating leads from AI search, from first prompt to final conversion. While challenges lie ahead in navigating the complexities of AI-powered search, by understanding the nuances of AI-driven lead generation, businesses can establish a competitive edge and capitalize on the vast opportunities presented by these new technologies.<\/p>\n
\nIn AI-driven lead generation, users experience a more personalized and seamless experience, with AI providing recommendations and catering to their specific needs.<\/p>\n
\nAI-powered search involves a conversation-based approach, where users share their problems and goals in prompts, and AI generates customized recommendations to match their needs.<\/p>\n
\nThe key to successful AI-driven lead generation lies in building trust and providing ongoing support, with AI-powered solutions addressing evolving user needs and preferences.<\/p>\n
\nYes, AI-powered search is poised to revolutionize lead generation, providing a more personalized and efficient experience for users and businesses alike.<\/p>\n