For years, the phrase “Content is King” has driven SEO strategies. Websites that focus on long-form, keyword-rich content tend to rank higher in search engine results, even if they don’t provide the most relevant answers to a user’s query. A clear example of this can be seen when users search for specific, task-based information, such as checking the Ola Electric Mobility Limited IPO Allotment Status. Google’s search results often lead users to content-heavy pages that lack direct solutions, while AI tools like ChatGPT offer the exact, relevant answers users need.
Google’s algorithm often favors websites that are optimized with keywords, backlinks, and well-structured content, even if these sites don’t provide the direct solution users are looking for. For instance, when searching for Ola Electric IPO Allotment Status, the first page of Google results is filled with articles discussing IPO allotment steps, market trends, and other general information. However, these pages don’t provide the direct link to check the allotment status, which can be frustrating for users.
In contrast, the most relevant website, like Link Intime, where users can check their IPO allotment status directly, is often buried deep in the results due to its lack of SEO-optimized content. This raises questions about the effectiveness of Google’s ranking system, especially when the user’s primary goal is finding a solution rather than reading content.
Google’s search algorithm typically ranks two types of websites:
A search for Ola Electric IPO Allotment Status showcases this perfectly. Websites like IPOji, Livemint, and India Today appear in the top results, but they either provide general information or link to third-party sites, while Link Intime, the site where users can directly check their IPO allotment, is either absent or ranks very low. In fact, Link Intime has now dropped to over the 100th position in Google search results.
Despite several updates to Google’s search algorithm in recent years, the problem remains the same. Websites that optimize their content around user queries continue to rank higher, while the actual solution-based sites, like Link Intime, are pushed further down in search results.
For example, two years ago, in May 2022, when users searched for Delhivery IPO Allotment Status, Link Intime was already ranking low. Fast forward to 2024, and when users search for Ola Electric IPO Allotment Status, the situation is even worse. Link Intime has now moved beyond the 100th position, showing that despite multiple Google updates, there has been no significant improvement in relevance-based ranking.
When the same search query is entered into ChatGPT, the result is remarkably different. ChatGPT delivers the exact steps and a direct link to the relevant page on Link Intime, where users can check their IPO allotment status. This shows that AI tools are better at understanding user intent and delivering relevant results without forcing users to sift through content-heavy pages.
Here are some examples of Google’s first-page results for “Ola Electric Mobility Limited IPO Allotment Status”:
These examples show that while users may find some information about IPO allotment, the direct solution — Link Intime’s IPO status page — is often buried or not linked at all.
Another striking example is found in the education sector, particularly in how websites are ranked for exam results. For the AEEE 2025 results, a site like Shiksha.com already has pages optimized around this query, gaining top positions in search results. Shiksha.com is an educational portal that provides information and resources related to various exams, including the AEEE. However, Amrita.edu, which is the official website where the results are actually published, ranks much lower, sometimes on the second or third page.
Despite being the direct source of the results, Amrita.edu ranks low because it hasn’t optimized its content around keywords like “AEEE Result 2025” as effectively as Shiksha.com or other education portals. As a result, users searching for the actual results end up clicking through content-heavy pages that don’t provide the direct answer they need. This is yet another example of how Google prioritizes well-optimized content over actual relevance and solutions.
One of the key reasons why ChatGPT is gaining an advantage over traditional search engines like Google is contextual targeting. Google uses keyword targeting to match content to search queries, which often leads to generic results that may not align with what the user really needs. In contrast, ChatGPT focuses on the context of the query.
While Google remains a powerful search engine, its increasing focus on SEO-optimized content often leads to irrelevant results, particularly for task-based queries. In cases like checking IPO allotment status or exam results, Google’s algorithm pushes users toward content-heavy pages rather than direct solutions.
In contrast, ChatGPT excels at understanding user intent and delivering contextually relevant answers. It provides direct links, no distractions, and task-focused results, making it a more efficient tool for users looking for specific information.
As AI tools like ChatGPT continue to develop, they may redefine how users search for information online, offering a more streamlined, relevant, and personalized experience.
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