How Modern Search Engines Rank Content: Cracking RRF, Embeddings & Semantic Scoring
How Search Engines Rank Content?
In this Marketing Stack session, Akash Patil, VP Systems and Process, explained how search engines rank content today and why old SEO methods are no longer enough.
He started by saying that search has changed significantly. Earlier, search engines mainly looked for pages that matched specific keywords.
Today, they try to understand meaning, intent, and context. In simple terms, they are not just looking for the exact words on a page. They are trying to find the most useful answer for the person searching.
Akash explained that this is why some pages do not rank well even when they are well optimized for keywords. The missing piece is often relevance. A page may repeat the correct keyword, but if it does not fully answer the user’s question, search engines may not consider it the best result.
He then broke down how a search query works today. When someone searches for something, the search engine does not rely on one method alone. It first looks at traditional keyword matches.
At the same time, it also checks meaning and context. Then it combines those results and ranks the pages based on which ones are most useful and relevant.
One of the key ideas Akash explained was embeddings. He described them as a way for machines to understand language through numbers.
Since machines do not understand words the way humans do, they convert words, sentences, and documents into mathematical patterns. This helps the search engine understand when two ideas are related, even if they do not use the same words.
He gave a simple example. A search for something like man’s best friend can still lead to results about dogs, even if the word dog is not used in the search. This happens because the search engine understands the meaning behind the phrase.
The second important idea was result fusion. Akash explained that search engines compare results from different methods. One method looks at keywords.
Another looks at meaning. The engine then brings these lists together and gives more importance to pages that perform well across both. This helps avoid a situation where a page ranks only because it repeats a keyword many times.
He used the example of healthy apple recipes. A page that only repeats the phrase many times may rank well in a keyword check, but another page that includes useful recipe ideas, healthy ingredients, and related information may be more useful. Search engines are now better at identifying that difference.
The third idea was semantic scoring. In simple terms, this is the final check that helps the search engine decide how closely a page answers the user’s real need.
A page about the best laptop for college and a page about the best laptop for gaming may both talk about laptops, but the search intent is very different. Search engines now try to understand that difference before ranking pages.
Akash also compared old SEO with modern SEO using the example of how to change a tyre.
An old SEO approach would repeat the phrase many times and focus on word count. A better approach would explain the full process clearly, include related terms like jack, wrench, spare tyre, road safety, and flat tyre, and answer practical questions the user may have.
His point was clear. Good content should solve the full problem, not just target the main keyword.
Most Common SEO Myths
The session also addressed a few common SEO myths:
- The first myth is that keyword density still matters. Akash explained that repeating a keyword again and again is no longer a strong strategy. What matters more is whether the content covers the topic properly.
- The second myth is that longer content always ranks better. A long page does not automatically win. A useful page wins when it gives the right answer in the right depth.
- The third myth is that targeting one main keyword is enough. Akash explained that brands need to build topic clusters. This means creating connected pieces of content that cover different questions, needs, and stages of the buyer journey around the same subject.
He also spoke about the importance of structured data, such as schema. Structured data helps search engines understand what the content is about in a clearer way. It gives search engines better context and helps them connect the page to the right type of query.
Akash recommended that marketers think in topics, not just keywords. A strong content strategy should answer the full range of questions a user may have. It should cover the subject deeply, connect related pages properly, and make it easy for both users and search engines to understand the value of the content.
The main takeaway from the session was simple: the best SEO does not feel like SEO. It feels like the most helpful answer to the user’s question.
Akash closed the session by reminding marketers to focus on intent, build strong topic authority, and structure content properly. Search engines are getting better at understanding meaning, so brands must create content that is genuinely useful, complete, and clear.
