I'm Shashikant Shah, a digital marketing expert in Kathmandu and a software engineer with a B.Tech in Computer Science and Engineering. I work with software companies, SaaS products, IT service exporters and startups in Nepal on the things that decide whether a buyer abroad finds them and trusts them: technical SEO, search and AI answer visibility, the site itself and the tracking behind it. I've done this for Kyte Research and AirLyft outside Nepal and NIMBUS Holdings at home, and my own site is built and tested by me on every deploy.

Short answer: digital marketing for a technology company in Nepal is mostly about being found and believed by buyers who are not in Nepal. You need a site that renders properly for crawlers, pages that answer the questions your buyers type into Google and ChatGPT, proof a stranger can verify, and tracking that shows which of it brought the demo request.

How buyers choose a technology company in Nepal

Most of your buyers are not in Nepal. A founder in Sydney or a product manager in London searches Google for an outsourced development team, and many now ask ChatGPT or Perplexity the same question and take the names it gives. If your company isn't in those answers, you're not being compared.

Then they check. They open the site on a phone and look for pricing, case studies and named people, then go to LinkedIn and GitHub to see if the team is real. A site that shows a blank page until the JavaScript runs ends the conversation there.

Inside Nepal the path is shorter. A bank, a cooperative or a manufacturer asks two people they know, searches your name, and reads whatever comes up. Often that's an old news article or a job listing. A page that says plainly what you build and for whom is rare, so it stands out.

For a startup the buyer is also an investor or a partner. They search the founder's name before the meeting and read the first five results. Those results are the pitch before the pitch.

The problems I see most often:

  • A product site on a JavaScript framework that renders fine for a human and half empty for a crawler, so the pages that matter are indexed late or not at all.
  • No page that answers what the product does, who it's for and what it costs, so Google and ChatGPT have nothing to quote.
  • Proof hidden behind logos: no named case study, no numbers, no dates, nothing a buyer abroad can check.
  • Marketing pages written by someone who never used the product, which a technical buyer spots in the first paragraph.
  • No tracking that ties a demo request or a trial signup back to the search, the article or the AI answer that brought it.

What I do for technology companies

  • Technical SEO: rendering, crawl budget, canonical tags, structured data and speed, diagnosed and fixed by the same person in the same week, in your repo if you'll let me.
  • GEO and AEO: pages structured so ChatGPT, Perplexity and Google AI Overviews can quote them, with the questions your buyers ask answered in plain words.
  • SEO for the searches buyers abroad use to find a team or a tool, with a page per problem you solve rather than a page per feature.
  • Link building a technical buyer would respect: guest articles, the directories that matter in your category, and mentions from people who have used the product.
  • Web development when the site itself is the problem: a marketing site that loads fast, ranks, and doesn't fight your engineering team's deploy process. I build it myself.
  • Google Ads for the searches buyers make in the countries you sell to, with demo requests and trial signups tracked in your own accounts, so the report says which spend brought a customer.

The first 90 days

Days 1 to 30. I audit what's there: rendering, indexing, speed, structured data and what Search Console actually shows. I check whether ChatGPT and Perplexity mention you when asked about your category. Tracking goes in for demo requests, signups and contact forms so we have a baseline. You get the findings as issues your engineers can pick up, not a PDF.

Days 31 to 60. The fixes ship, either by your engineers or by me in your repo. The first problem pages go live, written with your product people and structured so an AI answer can quote them. Your proof pages get a baseline, a timeframe and a date.

Days 61 to 90. We look at the numbers together: indexed pages, impressions by country, AI mentions and demo requests against the baseline. Then we decide where the next quarter goes, and whether ads in one target country are worth a test. You get all of this as a written plan before we start, with what's not included.

Who I've worked with in technology

Kyte Research (kyte.one) and AirLyft (airlyft.one) are technology companies outside Nepal. For them I've done SEO, social channel optimisation, AEO and GEO, web development and full stack development. NIMBUS Holdings in Nepal had me on social profile management, website design and promotion. All three are on my case studies page under the scope delivered. I don't publish a technology company result with numbers yet, and I won't invent one.

The closest published number is a Kathmandu ecommerce site whose organic sessions went from 2,300 to 13,500 a month in 12 months, with revenue from organic search roughly tripled. That was technical and content SEO, the same mechanism a SaaS site depends on. It came from an engagement I worked on as part of an agency team, so read it as the account's total.

This site is proof too. I built it, and it passes 15 automated checks on every deploy.

What it costs for technology companies

My prices are published. An audit of your site, your search and AI visibility and your tracking with a 30 day action plan is USD 249, about NPR 34,000. A four week sprint is USD 899, about NPR 122,000. Ongoing work is USD 1,800 a month, about NPR 245,000. What each one leaves out is on the pricing page. The first thirty minute call is free, and if your engineers can do the fixes from the audit alone, I'll say so.

Questions technology companies ask

Do you understand our product, or just marketing?

Both. I'm a working software engineer with a B.Tech in Computer Science and Engineering, so I read your codebase, your docs and your build output rather than working from a brief. When the fix is in the code, I can open the pull request myself.

Can you help us get cited by ChatGPT, Perplexity or Google AI Overviews?

Yes, and nobody can promise a citation. What I can do is make your pages the kind those systems quote: one clear answer per page, facts in plain words, a named author, and other sites saying the same thing about you. I don't guarantee rankings or mentions.

How long does it take?

Technical fixes show in Search Console within a few weeks of shipping. New pages ranking for real searches abroad take three to six months. AI answers update on their own schedule and I can't speed that up. I'll give you a written 90 day plan with the numbers we watch.

We're a startup with almost no budget. Is this for us?

The USD 249 (about NPR 34,000) audit is built for that. You get a list of issues your own engineers can fix, and a plan for the first pages. If that's all you need this year, I'll say so.

Do we need to be in Nepal to work with you?

No. Kyte Research and AirLyft are outside Nepal, and most of my work is remote, in the client's own accounts and repos. I work Nepal time and we agree a call window.

When are you not the right person for this?

If you need a content team publishing every day, a PR firm, or someone to run growth experiments inside the app, that's not me. I do the technical, search and AI visibility work and the tracking. If I'm not the right person, I'll say so on the first call.

All industries · Where I work · Technical SEO in Nepal · GEO expert in Nepal · Web development in Nepal · GEO vs SEO and Google AI Overviews · All services.

Tell me about your product and stack

Send me the URL and what you sell. I'll look at how the site renders, what Google and ChatGPT say about you, and tell you the one thing I'd fix first, whether or not you hire me.

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