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AI Search Optimization · Nepal

AEO & GEO Expert in Nepal

Answer Engine and Generative Engine Optimization handled as an engineering problem — linked JSON-LD, entity mapping, and server-rendered pages an AI crawler can actually resolve into a business.

1Linked JSON-LD @graph per site, not page fragments
Next.jsServer-rendered by default, not client-assembled
20+Original articles published as working proof
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What's Included

Scope, stated plainly.

  • Advanced JSON-LD built as one linked @graph — Organization, Person, Service, Article, FAQPage and Breadcrumb nodes referencing each other by @id rather than scattered per-page fragments
  • Entity mapping so the business resolves to a single, consistent entity across the site, sameAs profiles, and third-party listings an assistant might retrieve
  • Server-rendered or statically generated pages in Next.js or React, so the answer is present in the initial HTML rather than assembled after a crawler has moved on
  • Answer-first content structure — the question restated, then a standalone answer in the first paragraph that survives being quoted without surrounding context
  • Retrievability checks: robots rules, rendering path, and structured data validated against what a non-JavaScript crawler actually receives
Methodology

Resolve, Render, Answer

An AI assistant cites a business it can identify, retrieve, and quote. Those are three separate engineering problems, and most sites fail at the first one — the model cannot tell whether the business on the page is the same entity as the one in its index.

01

Resolve the entity

Organization and Person nodes are given stable @id values and linked into a single graph, with sameAs pointing at the profiles and directories that corroborate them. An entity a model cannot disambiguate is an entity it will not name.

02

Render without JavaScript

Pages are server-rendered or statically generated so the substantive answer exists in the raw HTML response. Content that only appears after client-side hydration is content some retrievers never see.

03

Structure for extraction

Headings phrased as real questions, answers written to stand alone in 60 to 90 words, and FAQPage schema attached — so a quoted fragment still makes sense with the page stripped away.

04

Make speed part of it

The same performance work that keeps Core Web Vitals in range and supports the landing-page component of Google Ads Quality Score also determines whether a crawler on a budget finishes the page.

05

Check what was actually received

Structured data is validated, the rendered-versus-raw HTML compared, and robots and canonical rules reviewed, rather than assuming the tag that was written is the tag that was served.

Proof

Verified, not just claimed.

Google Partner

This site is the working example rather than a description of work done elsewhere — one linked JSON-LD graph, server-rendered Next.js pages, and a published article cluster on AEO and GEO. Arcetis holds Google Partner status, verifiable at https://www.google.com/partners/agency?id=4744893600. On the organic side, a single managed property has reached 4.9 million impressions and 31,000 clicks over sixteen months in Google Search Console, at an average position of 7.5. That is one property rather than a portfolio total, and the client is not named.

Frequently Asked Questions

FAQ

Partly here and partly on the call. The retrievability work is visible on this site itself — the schema graph, the llms.txt files, the entity pages and the API are all public and you can inspect them right now, which is the most honest proof available for this discipline. Client citation data and account screenshots are shown on the call rather than published, because they belong to the client.