AMAR Home: #1 on ChatGPT & Gemini

When AMAR Home came to Khan IT in December 2025, they had something most of our clients do not: thirteen years of genuine clinical credibility. They also had something that made all of it invisible — no website at all. Not a thin one, not an outdated one. Zero. A licensed drug and alcohol rehabilitation center in Uttara, Dhaka, treating real patients with real psychiatrists, and yet weaker competitors with flashier marketing were ranking above a facility that did not even exist online.

I am Shoaib Santo, Project Manager at Khan IT, and I managed the AMAR Home project end to end. Md Faruk Khan, our CEO and lead SEO strategist, set the entity-first direction; my job was to turn that direction into a sequenced plan, coordinate the technical, content, local-SEO and AI-optimization workstreams, manage the timeline, and report results back to the client. This is the strongest Generative Engine Optimization (GEO) story in our portfolio, so I want to be precise about what we did and what actually happened.

The headline outcome after six months: AMAR Home ranks #1 on Google Gemini and #1 on Claude for "best rehab center in Dhaka," and is a top recommendation on ChatGPT. From a standing start of nothing, the site now pulls 272 clicks and over 15,500 impressions in a 28-day window. For a Your Money or Your Life (YMYL) healthcare business, that is the kind of trust signal that does not happen by accident.

Results at a Glance

All search data is from Google Search Console for the period May 17 to June 12, 2026. The AI rankings were verified by direct query testing across Gemini, Claude and ChatGPT.

Who Is AMAR Home?

AMAR Home is a licensed drug and alcohol rehabilitation center based in Uttara, Dhaka. They have been operating for thirteen years, which in the addiction-treatment space is a long time to build a reputation and a referral network. What sets them apart clinically — and what turned out to matter enormously for AI search — is the depth of their verifiable credentials:

In other words, AMAR Home was the real thing competing against marketing. The problem was purely one of digital presence.

The Starting Point

The baseline was as stark as it gets:

For a YMYL healthcare query, that gap is dangerous in both directions: dangerous for AMAR Home as a business, and frankly a worse outcome for patients searching for help. When Md Faruk Khan and I aligned on the approach, we agreed the priority was not chasing rankings — it was fixing the foundation first. You cannot rank an entity that search engines and AI models do not know exists.

The Strategy

We built the program around four pillars, sequenced so each one reinforced the next. The order mattered: establish the entity, prove the expertise, make it citable for AI, then tighten the local signals.

Phase 1: Entity Establishment

Before writing a single blog post, we made AMAR Home a recognizable entity. I coordinated the team to:

This is the part most agencies skip. Entity SEO is about teaching search engines and language models that AMAR Home is a specific, real, trustworthy organization — not just a string of keywords. We go deeper on this thinking in our semantic SEO guide.

Phase 2: EEAT Content Architecture

For a YMYL medical site, Experience, Expertise, Authoritativeness and Trust (E-E-A-T) is not a nice-to-have — it is the whole game. We built a content architecture around verifiable expertise:

The principle here is the same one Khan IT applies to every authority build, and it is the discipline behind our SEO content writing approach: say only what you can prove, and structure it so a machine can confirm it.

Phase 3: Generative Engine Optimization (GEO)

This is the pillar that produced the headline result, and it is where the project became our flagship GEO case study. Generative Engine Optimization is the practice of structuring content so that AI engines — ChatGPT, Gemini, Claude, Google AI Mode — can extract, trust and cite it. We did three things deliberately:

If you want the full method behind this, it is the same framework I describe in our AEO and answer-engine work and in the AI-driven SEO guide for Bangladesh. The short version: AI models reward content that is verifiable, well-structured and unambiguous about who is making the claim. A YMYL healthcare entity with real credentials and clean schema is exactly the kind of source they prefer to cite.

One detail worth dwelling on, because it is the part most teams get wrong: we wrote for retrieval, not for keyword density. When a large language model answers "best rehab center in Dhaka," it is not running a keyword match — it is assembling the most defensible answer from the sources it trusts. So every passage was drafted to survive being pulled out of context. We named the city, the license type, the year of establishment and the clinical affiliation inside single sentences, repeatedly, in different phrasings, so that whichever fragment a model retrieved still carried the full, accurate claim. That redundancy looks unusual to a traditional SEO, but it is precisely what makes content quotable by an AI engine.

Phase 4: Local SEO Precision

Finally, we tightened the local layer — the GBP categories, service-area definitions, local citations and review signals — so AMAR Home would surface for the geographically specific searches that drive admissions. This pillar borrows directly from the playbook in our local SEO strategies for Bangladeshi businesses.

The local layer is where YMYL intent gets very specific. A person searching for rehab help in Bangladesh rarely searches generically — they search by neighborhood, by substance, and often in a mix of Bangla and English. So I had the team align the GBP service areas, location pages and citation data to mirror that real-world search behavior. The five location pages were not thin duplicates; each described how AMAR Home serves patients from Mirpur, Gulshan, Dhanmondi, Savar and Uttara specifically, with genuinely distinct context. That precision is what turns a broad medical entity into a result that wins the geographically narrow, high-intent queries that actually drive admissions.

The Results

By the May 17 to June 12, 2026 reporting window, six months from a zero start, the Google Search Console numbers told a clear story:

Seven high-intent keywords landed on page one between positions 3 and 7 — for a brand-new domain in a YMYL niche, that is fast. Average position of 6.2 across the full keyword set means the site is consistently competitive, not riding one lucky term. All figures above are from Google Search Console for the stated period.

AI Search Visibility

This is the centerpiece, and it is why AMAR Home is the project I point to when someone asks what Generative Engine Optimization can actually do.

When you ask Google Gemini "best rehab center in Dhaka," AMAR Home comes back as the #1 recommendation. Ask Claude the same question, and AMAR Home is again #1. On ChatGPT, AMAR Home is a top recommendation. Three different AI systems, trained and retrieved differently, independently converging on the same answer — that is not a coincidence, it is the product of the entity and GEO work.

Why did the AI engines trust it? Because of the YMYL E-E-A-T foundation. For health queries, language models are conservative — they prefer sources whose claims can be verified. AMAR Home gave them everything to verify against:

In a YMYL space, AI engines actively de-rank vague, unverifiable, hype-driven content. AMAR Home won the AI recommendation precisely because it was the most verifiable answer in the market. That is the entire thesis of Generative Engine Optimization: you do not trick the model, you become the answer it most safely cites. The broader shift behind this is something I cover in the role of AI in modern SEO strategy.

What Made the Difference

Key Takeaways

For any healthcare or YMYL business in Bangladesh wondering how to compete in AI search, AMAR Home is the template:

If you run a clinic, rehab center or any regulated healthcare business in Bangladesh and you are invisible in both Google and AI search, this is fixable — and faster than you would expect. You can see how we approach this discipline across our broader SEO services, read more about my role and Khan IT on the about page, and explore sibling stories like the Sajid Amit personal-branding build, the IFAD Group Wikipedia and entity case study and the iTracker SEO case study.

Ready to become the answer AI engines recommend? Get in touch and let us build the entity and GEO foundation your business deserves.