Get Cited by ChatGPT, Claude, Gemini,
and Google AI Overviews,
not just ranked.

Search changed more in the last two years than in the previous ten. Google’s AI Overviews now answer a large share of queries before a user ever clicks a blue link. ChatGPT, Claude, Gemini and Perplexity are becoming the first place people ask business questions, including the ones that used to start with a Google search.

For Nepali businesses, this is either a threat or an opportunity depending on whether your brand shows up inside those answers. Most currently do not, because most agencies are still selling 2019-era SEO with an “AI” label stapled on top. We built a dedicated AI SEO and GEO practice because getting cited inside an AI answer is a different, specific discipline, built on top of strong traditional SEO, not a replacement for it.

This page covers exactly what we do, how we measure it, what it costs, and what to expect. No vague promises about “AI visibility” without a way to prove it.

AI SEO, sometimes called Generative Engine Optimisation (GEO), is the work of earning your brand a place inside the answers that ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews give to real customer questions. Answer Engine Optimisation (AEO), winning featured snippets, People Also Ask boxes and voice answers, sits right alongside it and we run both together.

Here is the number that matters most: roughly 97% of citations inside Google’s AI Overviews come from pages already ranking in the top 20 organic results. AI SEO is not a shortcut around traditional SEO, it is what you build once traditional SEO is already working, so that the same authority that earns you a ranking also earns you a citation.

The businesses investing in this now are not doing it because it is trendy. They are doing it because a growing share of their customers are asking AI tools “who is the best X in Kathmandu” or “which company should I use for Y” before they ever open Google, and the businesses that get named in that answer get the enquiry. The ones that do not, do not even know they were considered and rejected.

“AI SEO” is not one activity, it is a set of distinct disciplines that work together. These are the specific services we deliver, and the ones you should expect any agency claiming AI SEO expertise to be able to explain in detail, not just gesture at.

The next chapters go deeper into how we build, measure and defend your AI-search visibility, from the technical foundations AI crawlers need, through to how we prove it worked.

Most websites are written to be read top to bottom by a patient human. AI engines do not read that way, they scan for the passage that most directly answers the question, and lift it. If your answer is buried in paragraph four after two paragraphs of throat-clearing, it will not get cited, even if the information is correct.

What we actually do for answer-first content

• Passage-level restructuring so every section opens with a direct 1-3 sentence answer before expanding into detail.
• Heading hierarchy written as real questions, matching how people actually type or speak queries to AI tools.
• Information density edits, cutting filler so each paragraph carries more extractable fact per sentence.
• Freshness signals, visible dateModified and content updates, since AI citation drops sharply for pages older than about 90 days.
• Source attribution inside the content itself, naming data sources and citing them properly, which measurably improves AI citation rates.

This is not a rewrite of your whole site. It is a targeted pass on the pages most likely to be cited, done in a way that still reads naturally to a human visitor.

AI engines do not just read your website, they cross-reference it against everything else the web says about you. If your business name, description and details are inconsistent across your site, Wikipedia, Wikidata, LinkedIn, press mentions and directories, that inconsistency reads as a weak or untrustworthy entity, and weak entities get cited less.

What good entity and authority work looks like

• Entity consistency audits, checking your name, description and founder details match everywhere they appear.
• Wikidata and Wikipedia presence where eligible, the single strongest entity signal available.
• Digital PR aimed at citation, not just links, earning mentions in publications AI engines already trust and retrieve from.
• sameAs schema linking your Organization and founder schema to verified social and professional profiles.
• Brand-mention reclamation, turning unlinked mentions of your brand into proper, attributed references.

This is the slower half of AI SEO. Technical fixes can happen in weeks, entity trust is built over months, but it compounds, once AI engines treat you as a reliable source, that trust extends to new content you publish.

Before an AI engine can cite you, its crawler has to be able to reach and understand your site, and that is where most Nepali sites quietly fail. Different AI companies run different crawlers, and blocking one, even by accident, removes you from that engine’s training and retrieval entirely.

Our AI-readiness technical audit covers

• AI crawler access, checking robots.txt against GPTBot, ClaudeBot, PerplexityBot, Google-Extended and CCBot specifically.
• Schema markup for Organization, Service, FAQ, HowTo and Speakable, the structured data AI engines parse fastest.
• Core Web Vitals, since slow, unstable pages get deprioritised by both traditional and AI ranking systems.
• Crawlability and indexation, making sure the pages you want cited are actually reachable and not accidentally noindexed.
• JavaScript rendering, for React, Next.js and Vue sites, confirming AI crawlers see the same content your users do.

We have found Nepali sites blocking AI crawlers entirely without realising it, usually a leftover robots.txt rule from a security plugin. That is an easy fix with an outsized impact once corrected.

When someone in Kathmandu asks ChatGPT or Gemini for “the best [service] near me” or “a good [service] in Nepal”, the AI is now often pulling from Google Business Profile data, review platforms and locally-relevant pages, not just organic rankings. Local AI search has its own rules, separate from traditional local SEO.

What we do for local AI visibility

• Google Business Profile optimisation written for extraction, since GBP descriptions and Q&A are a direct AI data source.
• Review volume and response strategy, because review sentiment is a factor in how confidently AI engines recommend a business.
• City and neighbourhood-specific content that answers real local queries, not generic “service + city” landing pages.
• LocalBusiness schema, correctly nested with service area, hours and contact data.
• NAP consistency across Nepali directories, so location data is not contradictory anywhere AI engines look.

This matters most for businesses competing for Kathmandu Valley traffic, where AI-assisted local discovery is growing faster than traditional map-pack search.

Product discovery is moving into AI assistants too, shoppers ask ChatGPT or Gemini to compare products, summarise reviews, or recommend what to buy, and the answer depends on which product pages are structured well enough to be understood and trusted.

What AI-ready e-commerce SEO includes

• Product schema done properly, price, availability, reviews and specifications marked up so AI engines can parse and compare accurately.
• Comparison-friendly content, spec tables and honest pros/cons that AI engines can lift directly into a comparison answer.
• Review aggregation and display, since review data is a heavily weighted trust signal for AI shopping recommendations.
• Merchant feed hygiene for Google Shopping and Bing Shopping, which increasingly feed AI-generated shopping answers too.

For Nepali e-commerce brands, this is an early-mover advantage, almost none of the local competition has structured their catalogues for AI retrieval yet.

Traditional SEO reporting, rankings and organic traffic, does not capture whether you are being cited inside AI answers. We track a separate set of metrics built specifically for AI search performance.

What we track and report monthly

• Share of Model, how often your brand is cited versus competitors, across a fixed set of prompts, tracked across ChatGPT, Claude, Gemini and Perplexity.
• Citation position and context, whether you are the primary source, a secondary mention, or absent entirely.
• AI Overview presence, tracked against your priority keyword set in Google Search.
• Referral traffic from AI platforms, segmented in analytics separately from organic and paid channels.
• Sentiment of citations, since being mentioned is not the same as being recommended.

You get a monthly report showing exactly where you stand across all four engines, not a vague promise that “AI SEO is working.”

For sites with hundreds or thousands of pages, franchise networks, marketplaces, large catalogues, AI SEO cannot be done page by page. It needs a systematic approach that prioritises which pages matter most for citation and applies fixes at template level.

How we approach scale

• Template-level schema and structure fixes that apply across thousands of pages at once, rather than one-off edits.
• Citation-priority mapping, identifying the highest-value pages to optimise first based on query volume and business impact.
• Automated monitoring of AI crawler access and citation status across the full site, not just a handful of hero pages.
• Governance frameworks so content teams keep new pages AI-ready without needing to re-brief the agency every time.

This is the same discipline as enterprise technical SEO, just aimed at a newer set of engines.

Keyword research still matters, but it is no longer the whole picture. AI engines respond to questions, comparisons and problems, not just search terms, so our content strategy for AI SEO clients is built around query intent clusters rather than isolated keywords.

How we plan AI-ready content

• Question-mapping, gathering the actual questions people ask AI assistants around your topic, not just what they type into Google.
• Topical authority clusters, building depth around a subject so AI engines see you as a comprehensive, trustworthy source.
• Content gap analysis against AI answers, checking what ChatGPT, Claude and Gemini currently say about your space and where you are missing from the answer.
• Refresh cadence planning, since AI engines favour recently-updated content, we plan which pages get revisited and when, not just what gets published new.

The output is a content calendar built to earn citations, not just rankings.

AI search adoption is not even across industries. Some sectors are already seeing meaningful referral traffic and citation activity from AI platforms, others are further behind. Here is where we are focusing AI SEO work, and why it matters for each.

AI SEO is newer than traditional SEO, but the discipline of running it well is the same: audit first, fix the foundations, build authority, then measure honestly. Here is what that looks like month to month.

AI SEO is typically run as a retainer alongside, or as an extension of, your existing SEO programme rather than a one-off project, because citation tracking and content refresh cycles need to run continuously to hold ground against competitors.

Cheaper AI SEO offers usually mean less audit depth, fewer engines tracked, and generic content instead of properly researched answer-first pages. What you are really paying for is the time it takes to audit 4 AI engines properly, fix technical foundations correctly, and write content that is genuinely citation-worthy rather than keyword-stuffed.

We track AI citations using a mix of manual prompt testing, Google Search Console AI Overview data, and third-party AI-visibility tracking tools, cross-checked against server log data to confirm AI crawler activity is actually happening, not just assumed.

For context, dedicated AI SEO and GEO retainers internationally typically run from $1,500 to $6,000 a month for small and mid-size businesses, and $10,000 to $25,000+ a month at the enterprise end, with AI citation monitoring and local citation building often billed as separate add-ons costing $1,000 to $3,000 a month each on top of a base retainer. Our packages include both local and AI citations as standard at every tier, at Nepal-market pricing, we cover full cost breakdowns on our dedicated SEO pricing page.

AI visibility moves on a different timeline to traditional rankings, some fixes show up fast, others take a full content cycle to compound. Here is what we tell clients honestly.

What to expect, by month

• Weeks 1-4: Technical fixes go live, crawler access, schema, entity consistency. You will not see citation change yet, this is foundation work.
• Months 2-3: First citation movement, usually on lower-competition, well-optimised pages. Digital PR and entity work begin compounding.
• Months 4-6: Measurable Share of Model gains against tracked competitors, if the content and authority work has been consistent.
• Month 6+: AI referral traffic becomes a visible, trackable channel in analytics, not just an audit metric.

Anyone promising AI citations in two weeks is either exaggerating or targeting queries with no real competition. We would rather tell you the honest timeline upfront.

We run this same rigour across the platforms and partners our clients already trust.

Real questions Nepalese business owners ask us before signing on. If yours isn’t here, send it through the form below, we’ll answer personally within two business hours.