Nepal · AI Search Optimization
Structuring client sites to be the direct answer inside Google's AI Overviews, ChatGPT, and Perplexity — not just another result a person has to click through to find.
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are the practice of being the source an AI assistant cites when it answers a question, rather than a link in a list. Arcetis is a Pokhara-based agency doing this work for Nepal businesses, structuring content so ChatGPT, Gemini, Perplexity, and Google's AI surfaces can lift and attribute it.
Classic search returns a list of links and lets a person decide which one to open. Google's AI Overviews, ChatGPT, Perplexity, and Gemini increasingly skip that step — they read across multiple sources and synthesize a single answer directly, with no guarantee any specific site gets clicked at all. Being visible inside that answer, not just ranked well beneath it, is what AEO and GEO are about.
Two related but distinct disciplines, both dependent on the same foundation classic SEO already requires — answer-first content structure, structured data in JSON-LD, and unambiguous entity clarity about who is publishing the information and why it should be believed.
Structuring a page so a search engine or voice assistant can extract one specific, correct answer to one specific question — clear headings, answer-first paragraphs, and structured data that states the answer in a machine-readable form, not just a human-readable one.
Structuring a site's content and entity signals so a generative AI system chooses to cite or reference it when writing a conversational answer — dependent on structured data and verifiable trust signals, since a generative engine has to decide whom to believe, not just what ranks first.
Most agencies working in Nepal today are still optimizing purely for classic ranked results. Very few yet treat AI Overviews, ChatGPT, and Perplexity as a distinct surface with its own requirements. That gap will not stay open for long — but for now, a Nepal business that structures its site for AI-search visibility today is one of the first in its market to do so, not one of the last. Arcetis is one of the first Nepal-based teams building specifically for AI search, rather than treating it as an afterthought bolted onto existing SEO work.
AEO and GEO are not a separate service at Arcetis — they are what the The Technical–Topical–Trust (T³) Model already covers, applied to a newer set of engines. Each layer still gates the next.
Core Web Vitals, crawl budget, indexation hygiene, canonicalization, and structured data — the infrastructure layer.
Pillar-and-cluster content architecture and entity-based keyword mapping, demonstrating real depth on a subject.
E-E-A-T signals: author identity via Person schema, consistent entity data across the web, and backlinks from relevant, credible domains.
The Trust layer specifically — author identity via schema, consistent entity data, and credible backlinks — is the same signal set a generative engine leans on to decide whom to cite. AEO and GEO work is Trust-layer work, pointed at a newer set of engines, not a separate unproven practice.
4.9M / 31,000
Impressions and clicks on a single Arcetis-managed property over 16 months in Google Search Console, at an average position of 7.5 — proof the underlying Trust-layer discipline compounds in classic search first. AEO and GEO apply that same discipline to AI Overviews and generative engines, not an untested separate practice.
Answer Engine Optimization is the practice of structuring a page so a search engine or voice assistant can extract a direct, specific answer to a specific question — clear headings, answer-first paragraphs, and structured data that states the answer in a form machines can read, not just people.
Generative Engine Optimization is the practice of structuring a site's content and entity signals so a generative AI system — ChatGPT, Perplexity, Google's AI Overviews, Gemini, Claude — chooses to cite or reference it when writing a conversational answer, rather than a page that only ranks well in a traditional results list.
Regular SEO gets a page ranked in a list a person then chooses from. AEO and GEO are about being the answer itself — extracted directly into an AI Overview or synthesized into a generative engine's reply. Both still depend on the same technical foundation and trust signals classic SEO requires; AEO and GEO add answer-first structure and machine-readable entity data on top of it, not a replacement for it.
Yes — arguably more than a large one. AI-search optimization is still a niche discipline in Nepal, so a small business that structures its site correctly now competes for AI-surfaced visibility against very few others doing the same, rather than against an already-crowded classic results page.
No — it is the same Technical-Topical-Trust (T³) Model behind our SEO service, applied specifically to how AI Overviews and generative engines evaluate a site. There is no separate AEO/GEO department; it is T³ Model work pointed at a newer set of engines.