AI SEO services optimise your business for visibility in AI-generated answers, covering generative engine optimization (GEO) for ChatGPT, Perplexity, and Gemini, answer engine optimization (AEO) for direct-answer queries, and Google AI Overview rankings. Khan IT builds the structured content, entity signals, and third-party citations AI engines check before recommending any brand, included in every SEO campaign we run.
When someone asks ChatGPT "best SEO agency in Bangladesh" or Google shows an AI Overview for "how much does a website cost," a machine has already decided which brands to mention. No click, no second page, no chance to be found if you weren't chosen.
Here's the uncomfortable research finding: fewer than 10% of sources cited by AI engines rank in the top 10 organic results for the same query. Traditional rankings and AI citations are overlapping but separate games, and winning one doesn't automatically win the other.
The opportunity inside that problem: AI visibility is still wide open in most markets, including Bangladesh. The brands doing this work now are setting the answers AI engines will repeat for years. We'd rather your name be in those answers than your competitor's.
Searchers and salespeople use these terms interchangeably, and mostly that's fine. They describe one connected practice from four angles. Here's each one without the hype:
Visibility Inside AI-Written Answers
GEO is the practice of increasing your brand’s presence in responses generated by large language models: ChatGPT (OpenAI), Gemini (Google), Perplexity, Claude (Anthropic), and Copilot (Microsoft). The term comes from a 2023 Princeton-led research paper, which found that techniques like citing sources, adding statistics, and quotable phrasing increased content visibility in generative engines by up to 40%.
In practice, our GEO service work means: structuring your content so LLMs can extract and attribute it, building your presence in the sources LLMs actually retrieve from (Wikipedia, industry directories, review platforms, news coverage), and making your brand’s facts consistent everywhere those engines look.
Winning the Direct Answer
AEO services focus on question-style queries: “how much does SEO cost,” “what is the best cement in Bangladesh,” “is Khan IT trustworthy.” Answer engines (AI Overviews, voice assistants, chatbots) want a direct, complete, 50-to-70-word answer they can serve whole.
Our AEO work restructures your pages into that pattern: the question as a heading, the direct answer immediately below, supporting detail after, FAQ schema underneath. It sounds simple. The discipline is in doing it across every commercial question your buyers ask, with answers accurate enough that engines keep trusting the source.
Ranking in the Answer Above the
Rankings
AI Overviews now sit above traditional results for a large share of informational and commercial queries. Getting cited inside them requires different signals than ranking below them: extractable answer-first formatting, strong entity association with the topic, structured data Google can parse, and corroboration from independent sources.
We track which of your target queries trigger AI Overviews, build content shaped for extraction, and monitor citations monthly. When Google changes how Overviews behave (it does, constantly), the quarterly refresh on this very page is the same maintenance your campaign gets.
Making Your Brand Legible to the
Models Themselves
Beneath all three sits the foundation: how AI models understand who you are. LLMs build brand knowledge from training data and live retrieval: your schema markup, your Wikipedia and Wikidata presence, your consistency across Clutch, GBP, LinkedIn, and directories, and what independent websites say about you.
This is entity work, and it’s where most “AI SEO” offerings are thinnest because it’s slow, unglamorous, and impossible to fake. It’s also where we have receipts: the IFAD Group Wikipedia project, verified on Clutch, is precisely this discipline executed at the highest-authority level that exists.
AI engines recommend brands based on three verifiable layers, and understanding them explains every task in our methodology:
Our service works all three layers at once. That’s the whole strategy, stated plainly, because clients should understand what they’re buying.
This field is young and full of agencies selling certainty they don't have. So, in writing:
Nobody can. LLM training cycles and retrieval behaviour are controlled by OpenAI, Google, and Anthropic, not by any agency. Anyone guaranteeing specific AI mentions is guessing with your money.
There is no submission form, no paid placement, no trick. There is only becoming the kind of consistently documented, independently confirmed brand these systems surface. That's buildable, and it's what we build.
Every audit, schema implementation, entity fix, citation placement, and monthly visibility log is documented and shown to you. When mentions appear (and across our client base, they do), you'll see exactly which work preceded them.
“The discipline of documentation.”
Every claim follows the format we sell: direct answers, named sources, checkable numbers.
Our Own AI Visibility
Tracked monthly
We run our own brand queries through ChatGPT, Gemini, and Perplexity every month — the same monitoring clients get. Ask us in your consultation what those logs currently show, including where we're still losing. We'll tell you honestly.
GEO is new, but the work it's made of is not. Our claim to this service rests on verifiable pieces:
This field is young and full of agencies selling certainty they don't have. So, in writing:
If you're unsure which you are, the audit answers it before you spend anything.
Get the auditAI SEO, GEO, and AEO Questions Answered.
To get your brand mentioned in ChatGPT, focus on creating authoritative, well-cited content that AI models can reference. Build strong entity signals through consistent brand mentions across reputable websites, optimize your content with clear statistics and quotable insights, and earn citations from trusted sources. The key is to make your brand information easily discoverable and credible for AI training data.
Generative engine optimization (GEO) is the practice of increasing a brand's visibility in answers produced by AI engines like ChatGPT, Gemini, and Perplexity. The term originates from 2023 Princeton-led research showing that citations, statistics, and quotable structure measurably increase content's presence in AI answers. GEO combines content engineering, entity building, and third-party citation work.
SEO focuses on optimizing content for traditional search engine results pages (SERPs) through keywords, backlinks, and technical factors. GEO (Generative Engine Optimization) specifically targets AI-generated answers in chatbots and AI search engines. While SEO aims to rank in blue links, GEO optimizes for being cited as a source in AI responses. Both are complementary—strong SEO foundation supports better GEO performance.
To rank in Google AI Overviews, create comprehensive, authoritative content that directly answers common questions. Use clear headings, bullet points, and structured data. Ensure your content is cited by other reputable sources, maintain topical authority, and optimize for featured snippets. Google AI Overviews prioritize content that demonstrates expertise, accuracy, and clear value to users' queries.
AI search engines use complex algorithms that analyze content authority, citation frequency, entity strength, and information quality. They prioritize brands with consistent mentions across trusted sources, well-structured data, clear statistics, and quotable insights. The more your brand appears as a cited source in high-quality content, the more likely AI engines will recommend you in their answers.
Answer engine optimization (AEO) is the strategy of optimizing content to provide direct, concise answers that search engines and AI can easily extract and display. It focuses on structuring content in question-answer format, using schema markup, and providing clear, authoritative responses. AEO is essential for featured snippets, voice search, and AI-generated answers.
AI SEO services in Bangladesh typically range from ৳25,000 to ৳150,000+ per month depending on scope, competition level, and deliverables. Basic GEO packages start around ৳25,000-৳50,000, comprehensive AI SEO programs range from ৳50,000-৳100,000, and enterprise-level solutions can exceed ৳150,000. Pricing varies based on content creation needs, citation building, and ongoing optimization requirements.
If you didn't find your answer here, visit our full FAQ page to learn more about our services and support.
Visit Full FAQ PageMost businesses have never run the test. We'll run your key queries through ChatGPT, Gemini, Perplexity, and Google AI Overviews, show you exactly who gets recommended in your category and why, and tell you honestly what closing that gap involves.
Your real AI visibility, tested across four engine families.
The specific source gaps causing it, named.
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