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Semantic SEO: Hype vs Reality – What You Need to Know Semantic SEO, at its core, is just a modern approach rooted in Google’s patents. Concepts like topical maps, entities, NLP, and knowledge graphs have always been about directly answering user queries—something we’ve been practicing for years. The real issue? The overhype. Many tie Semantic SEO to personal frameworks and buzzwords. While frameworks and SOPs can be helpful, they’re not groundbreaking—they’re the result of good research. Only few SEO professionals conduct original research. Most rely on second-hand studies. Interestingly, many “experts” hyping Semantic SEO only entered the field post-2020. Without a deep understanding, they recycle theories and assume creating topical maps makes them specialists. For them, “Semantic SEO” is just a trendy label. #SemanticSEO #SEOReality #TopicalMaps #EntityOptimization #SEOIndustry #SEOInsights

GBP/GMB Optimization 2 things which I implemented to get business ranking with improvement in calls. 👉 Optimize site content by putting NLP & Semantic terms which I gathered with the help of [Chatgpt, Surferseo] according to services which respective business is providing and internal link pages [Homepage, Service Pages, Location Pages] by using that NLP terms. 👉 Put 15 Niche relevant backlinks including Forums [12] and Guest posts [3] by using NLP terms [used in internal linking] as anchor text. Used citations [20] as well but only those,citations in which my top competitors business is added still making more accordingly. And yes never ever ignore basics just like Optimization of GBP, site including description, hours, right category, adding services with description, regular posting [Including NAM], embed map in site and NAP consistency over the platforms. Your feedback/input will be really helpful for me to improve/learn more about it. here : nokibulhasannobin.com

Semantic Search Engine: A search engine that takes keywords beyond the words, and focuses keyword intent on broader terms is known as a Semantic Search Engine. A real-life example is Google Search which has a better semantic search engine than else. It also focused on creating knowledge graphs and ways to match keywords intent on different perspectives. Lexical Search Engine: Focused only on individual word and exact keywords. Differences in semantic capabilities is also one of the few reasons why Google is leading the Search Engine Space. Semantic search also leverages NLP to understand the user intent, context, and meaning of particular searches that happen. #semanticsearch #semanticseo

📍𝗠𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝗮𝗰𝗵: 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗩𝗼𝗶𝗰𝗲 𝗦𝗲𝗮𝗿𝗰𝗵 1. Conversational Queries:  ➜Voice search often uses long-tail, conversational questions. 2. NLP:  ➜Search engines rely on NLP to understand voice queries. 3. Featured Snippets: ➜ Create concise, informative content to rank in featured snippets. 4. Local SEO:  ➜Optimize for local search terms and have a strong local presence. 5. Mobile Optimization: ➜ Ensure your website is mobile-friendly for voice search. 6. Schema Markup:  ➜Use schema markup to help search engines understand your content. 7. Long-Form Content: ➜ Longer, more comprehensive content can rank better for voice search. 8. Conversational Tone:  ➜Write in a conversational tone to engage users. 9. Voice-Enabled Devices: ➜ The popularity of smart speakers has increased voice search. 10. Adaptation:  ➜Stay updated on the latest voice search trends and best practices. ____________________________ ♻️Remember to 𝗹𝗶𝗸𝗲 & 𝗿𝗲𝗽𝗼𝘀𝘁. 🔔 Do follow Ruslan Smirnov for more. #seo #voicesearch #featuresnnipets #localseo #ruslansmirnov

Tips to get business rankings and more calls. 1-)Optimize site content by putting NLP & Semantic terms which I gathered -with the help of [Chatgpt, Surferseo] according to services which respective business is providing and internal link pages [Homepage, Service Pages, Location Pages] by using that NLP terms. 2-) Put 15 Niche-relevant backlinks including Forums [12] and Guest posts [3], by using NLP terms [used in internal linking] as anchor text. Use citations [20] as well, but only those, citations in which my top competitors business is added still making more accordingly. And yes, never ever ignore basics just as Optimization of GBP, site including description, hours, right category, adding services with description, regular posting [Including NAM], embedding map in the site, and NAP consistency over the platforms. What are your thoughts on this? Do let me know. #localseo #seo #localseotips #seotips #GMB #googlebusiness

Ever wondered if there's an AI that writes blog posts so well, you can't tell them apart from human-written ones? Ones that not only dazzle readers but also charm the Google algorithms? Enter autoblogging.ai: the AI article wizard that crafts high-quality, unique content using advanced NLP technology. Say goodbye to bland articles and hello to engaging, plagiarism-free content that skyrockets your SEO rankings! Why settle for ordinary when you can have extraordinary? Check out my latest review and see how autoblogging.ai is changing the content game. Link in comments.

Wanna increase your website traffic organically ? If you're dependent on Google Ads, Meta ads for leads.. You can grow the website traffic, But could not scale the website traffic. After the introduction of BERT, Google gives importance to the websites, which supports websites with NLP. NLP works like a brain for computers, helping them understand human language. It also helps search engines understand the syntax, semantics, entities, sentiment, and discourse of search queries and website content. - Like this post. - Follow for more. - Save for future reference. Repost ♻️ to share what you've learnt with others. Ps: If you're serious enough, in analysing and improving your website traffic, then DM me "Analyse" right away.

🔍 #LLMs can help semantic search. Want to learn more about natural language & search? Read this free O’Reilly Report by authors Jon Handler, Milind Shyani & Karen Kilroy. 📄 👉 https://go.aws/3UyYmb5 #OpenSearch #generativeAI

Are "Stop Words" Really Important in SEO? In the ever-evolving world of SEO, one question that often pops up is: Do Stop Words really matter? For those unfamiliar, SEO stop words (also known as Google stop words) are common words like and, or, besides, in, a, the, do, they, etc. As per below example, "Stop Words" are often omitted in search query processing because they usually don’t impact the meaning of a query. Google’s NLP capabilities mean it can process natural language queries efficiently. This includes interpreting queries with or without stop words to deliver the most relevant results. #StopWords #SEO #DigitalMarketing #PerformanceMarketing

Lewis et al first introduced RAG pipelines in 2020 in the paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP" Tasks(https://lnkd.in/gUcSW_Eq). The crux of the system is to overcome the knowledge gap or lack of specific domain knowledge in a generative model by combining a generative model with a retriever module to provide additional information from an external knowledge source that can be updated easily and cheaper than fine-tuning. However, as any system would, RAG has its own set of limitations and issues. Over the last three years, these pipelines/systems have evolved to overcome the known shortcomings/limitations of a naive RAG system by using a set of techniques that can be categorised as: - Pre-retrieval optimisations: Focuses on data indexing optimisations and query optimisations. These techniques aim to store the data in a way that helps improve retrieval efficiency, and they are techniques as simple as sliding window/chunk-overlap. - Retrieval optimisations: Most techniques at this level are around embedding models such as Fine-tuning embeddings and Dynamic-Embeddings - Post-retrieval optimisations: Prompt Compression and Re-ranking are two major techniques used at this level to process the query efficiently, instilling focus on the relevant context and part of prompts only. The above is just a gist of RAG pipelines and different techniques used to optimise the system. Will soon write about techniques used at different levels of the implementation of the system. Thanks! #LLM #RAG #artificialintelligence