Digital Marketer specializing in Local SEO, Google Business Profile optimization, and AI Search (AEO/GEO) — based in Mirpur, Dhaka, Bangladesh.
Rasedul Islam Rupom is a Bangladeshi digital marketer and search engine optimization professional based in Mirpur, Dhaka. His work focuses on search engine optimization, local SEO, Google Business Profile optimization, Google Maps SEO, answer engine optimization (AEO), generative engine optimization (GEO), and visibility across AI-powered search platforms.
Rasedul Islam Rupom was born on 10 December 2006 in Mirpur, Dhaka, Bangladesh. From an early age, he developed an interest in how search engines organize and display information.
His curiosity began with observing how Google could quickly surface websites, business information, and profiles in response to a search query — which led him to explore how search engines determine visibility, and how websites, businesses, and individuals establish it. Over time, this curiosity developed into a professional focus on SEO, digital marketing, local search, and online visibility.
Rupom is pursuing a Bachelor of Business Administration (BBA Honours) in the Department of Marketing at Government Bangla College, Dhaka, beginning in the 2023–2024 academic session.
His academic interests include marketing, consumer behavior, digital marketing, and online business growth. Alongside formal education, he has pursued professional training and certifications in SEO, local SEO, data analytics, and e-commerce.
Rupom began his professional career in search engine optimization in early 2023 — starting directly with SEO rather than transitioning from another discipline. His early work involved keyword research, search intent analysis, on-page optimization, technical SEO, content optimization, and competitor research.
In 2024, he began specializing more extensively in local SEO, Google Business Profile optimization, and Google Maps visibility. His work has since expanded into newer areas of search, including answer engine optimization and generative engine optimization.
Rupom's work covers the technical, on-page, local, and strategic areas of SEO, connecting search visibility with measurable business outcomes such as customer discovery, calls, leads, and bookings.
Analyzing how websites are crawled and indexed, identifying technical barriers to organic visibility, researching keywords and search intent, improving site architecture, and optimizing content for users and search engines.
Google Business Profile optimization, Google Maps visibility, local keyword research, service-area optimization, local landing pages, citations, review strategy, and competitive analysis — treating GBP, website SEO, and reputation as one connected system rather than separate channels.
As search behavior evolves beyond traditional results pages, Rupom's work extends into AI search visibility, answer engine optimization (structuring information to be clearly understood by answer-based systems), and generative engine optimization (improving how brands and entities are represented by generative AI systems).
Rupom's approach is based on the view that search visibility should contribute to meaningful business outcomes rather than rankings alone. His work emphasizes ethical, sustainable SEO practices, technical foundations, search intent, content quality, local relevance, data analysis, and continuous improvement.
Rather than applying identical strategies to every business, he develops recommendations based on the individual business, its market, competitors, customers, and growth objectives — typically connecting organic visibility with practical outcomes such as customer discovery, phone calls, inquiries, leads, and bookings.
Although based in Mirpur, Dhaka, Bangladesh, Rupom works with businesses internationally. His client experience includes businesses in Ireland, the United Kingdom, the United States, Canada, Australia, and other global markets — primarily local service businesses, with additional work across other industries where his expertise aligns with their needs.
Rasedul Islam Rupom primarily uses his full name for his professional identity, and is also known by the nickname Rupom and the shortened form RI Rupom. Search phrases such as "Rupom SEO" and "SEO Rupom" combine his nickname with his profession and are not separate personal or legal names.
Rupom maintains an active professional presence through his official website and social/professional platforms. His work has received five-star reviews on platforms including Google Business Profile, Trustpilot, and Clutch.
Rupom is working on a planned book titled “From Google Maps to AI Search.” Currently in the writing and planning stage, it explores the evolution of online discovery — local search, Google Maps, SEO, AI-powered search, and how businesses establish visibility across digital platforms.
Rupom views SEO as more than a method for improving keyword rankings — his approach focuses on helping businesses become easier to discover by the audiences searching for their products or services. He advocates practical, data-informed strategies built around user intent, technical quality, content relevance, local signals, and sustainable growth, while tracking how search engines, maps, answer engines, and generative AI systems discover and present information.
Official website: rirupom.com. Profiles and content are also available on Facebook, Instagram, LinkedIn, X, Pinterest, Quora, YouTube, and Google Business Profile.
| Full name | Rasedul Islam Rupom |
|---|---|
| Nickname / short form | Rupom / RI Rupom |
| Born | 10 December 2006, Mirpur, Dhaka, Bangladesh |
| Nationality | Bangladeshi |
| Occupation | Digital Marketer |
| Specializations | SEO, Local SEO, GBP Optimization, Google Maps SEO, AEO, GEO, AI Search Visibility |
| Career began | 2023 |
| Local SEO / GBP focus began | 2024 |
| Projects completed | 30+ |
| Education | BBA Honours, Marketing — Government Bangla College (2023–2024) |
| Primary focus | Local service businesses |
| International markets | Ireland, UK, US, Canada, Australia & more |
| Website | rirupom.com |
| Planned book | “From Google Maps to AI Search” (unpublished) |
