{"id":22319,"date":"2025-02-21T11:23:42","date_gmt":"2025-02-21T11:23:42","guid":{"rendered":"https:\/\/www.orangemantra.com\/blog\/?p=22319"},"modified":"2025-12-16T06:44:02","modified_gmt":"2025-12-16T06:44:02","slug":"generative-engine-optimization-challenges","status":"publish","type":"post","link":"https:\/\/www.orangemantra.com\/blog\/generative-engine-optimization-challenges","title":{"rendered":"8 Best Practices to Overcome Generative Engine Optimization (GEO) Challenges"},"content":{"rendered":"

All of you must be worried about the impact of generative engines on your websites. Yes, you might be facing lower traffic because users are now happy with the personalized output provided by generative engines.\u00a0<\/span>\u00a0<\/span><\/p>\n

The truth is users are not scrolling and reaching your website which is ranking on SERP. Why would they? Now ge<\/span>nerativ<\/span>e engines are giving them a summary of relevant information taken from multiple sources. No doubt this is helping users and saving their time.\u00a0<\/span>\u00a0<\/span><\/p>\n

But what about you: the content creators and website owners? Your business is entirely dependent on the website you own. To be honest, it\u2019s a serious challenge because now you have no control over how to display your content.\u00a0<\/span>\u00a0<\/span><\/p>\n

That\u2019s why generative engine optimization is important. But how to optimize your content for generative engines? This article is more than enough for understanding GEO strategies. If you\u2019re an SEO agency<\/strong><\/a> or digital marketer, you\u2019ll also find this guide useful for adapting your strategies to AI-driven search models.<\/p>\n

2 Main Challenges with Generative Search Engines<\/span>\u00a0<\/span><\/h2>\n

Are generative engines perfect? No, they are not. Will they be in the future? We\u2019ll see. Instead of focusing on what might happen down the line, why not focus on the present? Currently, there are two main challenges with generative search engines that you should know.<\/span>\u00a0<\/span><\/p>\n

    \n
  1. \n

    Learning, Evolving, and Improving<\/span><\/h3>\n<\/li>\n<\/ol>\n

    One day, a short video appeared on my feed. In that video, a reporter asked an NBA player about his team’s bad performance that season. The question was, “How do you see this failure?”\u00a0<\/span>\u00a0<\/span><\/p>\n

    I still remember the player’s response, as he said many insightful things, including a line that has since become my personal favorite. It is also the title of that particular video on YouTube: “THERE IS NO FAILURE IN SPORTS!\u00a0<\/span>\u00a0<\/span><\/p>\n

    The reason I shared this is that, just like in sports, there are no failures in technology – only learning. Generative engines are constantly learning, evolving and eventually improving. At the core of these engines lies a Machine Learning model, often referred to as an LLM.<\/span>\u00a0<\/span><\/p>\n

    Without going deep into the workings of Generative AI, just remember that these models are designed to improve over time. And one day, they will. But as of now, they are still prone to making mistakes. You might have also noticed this on generative search engines.<\/span>\u00a0<\/span><\/p>\n

    \n

    Need Help With Gen AI Development?<\/h3>\n

    We are here to help<\/p>\n

    Reach out to us<\/a><\/p>\n<\/div>\n

    For instance, <\/span>ChatGPT <\/span><\/i>displays a warning below the prompt section:<\/span>\u00a0<\/span><\/p>\n

    “ChatGPT can make mistakes. Check important info.”<\/span><\/b>\u00a0<\/span><\/p>\n

    This serves as a reminder to approach the outputs with caution and verify critical information.\u00a0<\/span>\u00a0<\/span><\/p>\n

      \n
    1. \n

      Different Outputs on Different Generative Engines<\/span><\/h3>\n<\/li>\n<\/ol>\n

      Both generative engines and traditional search engines produce varied outputs.\u00a0<\/span>\u00a0<\/span><\/p>\n

      \"\"<\/span><\/p>\n

      Note: <\/span><\/b>The above image shows SERP result of Microsoft Bing.<\/span><\/i>\u00a0<\/span><\/p>\n

      Try to search the same query on two different search engines. You will likely get different search engine results pages (SERPs).\u00a0<\/span>\u00a0<\/span><\/p>\n

      \"\"<\/span><\/p>\n

      Note:<\/span><\/b> The SERP result of same query on Google.\u00a0<\/span>\u00a0<\/span><\/p>\n

      The same applies to generative engines.<\/span>\u00a0<\/span><\/p>\n

      But wait – here\u2019s the key difference.\u00a0<\/span>\u00a0<\/span><\/p>\n

      You primarily need to follow Google’s guidelines to appear in its SERP. If you rank on Google, there\u2019s a high chance you will also rank on other search engines. And if you\u2019re on Google\u2019s SERP but not on others, why worry? Over <\/span>90%<\/span><\/a> of people use Google anyway. You will still not lose business.<\/span>\u00a0<\/span><\/p>\n

      To understand it better, we (OrangeMantra) are ranking on the top of SERP on Google for \u201cDigital Marketing Service\u201d keyword. On the other hand, we are not even in the top 50 results in the case of Microsoft Bing.<\/span>\u00a0<\/span><\/p>\n

      But is it restricting our visibility or growth? No, because being #1 on Google is enough for us. By ranking on the top of Google SERP, we are offering <\/span>digital marketing services<\/span><\/a> to hundreds of clients yearly.\u00a0<\/span>\u00a0<\/span><\/p>\n

      \"\"<\/span><\/p>\n

      But this is not the case with generative engines. There is no such guideline by these AI search engines for generative engine optimization. Moreover, we have no such valid data that shows the market share of generative engines.\u00a0<\/span>\u00a0<\/span><\/p>\n

      As we said earlier you cannot control how and where your content will show in generative engines. For better understanding see the different output produced by popular generative engines for the same query.<\/span>\u00a0<\/span><\/p>\n

      ChatGPT Output<\/span>\u00a0<\/span><\/b><\/p>\n