AI VISIBILITY ENGINEERING

Your competitors are being named by AI engines in Nepal's market — and you have no data on why

GEO Competitor Gap Analysis is a systematic study of exactly which competitors are being cited across AI engines in your market, how often, for which queries, and what signals they hold that you don't. Ignited Nepal tests 30 industry queries across five AI engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude — against three to five of your direct competitors, producing a complete citation matrix, a signal audit, and a prioritised action plan to close the gap. This is the competitive baseline every serious AI visibility programme starts with.

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This is for you if

The Nepal business owner who has seen competitors in AI answers — You have typed your category into ChatGPT or Perplexity and watched competitor names appear in the response. Your business was not mentioned. You don't know whether this is happening once or consistently, across one engine or all of them, for a handful of queries or for the full range your buyers ask. You need a clear, evidenced picture of the competitive landscape before you can act on it.

The company about to begin AI visibility work who needs a competitive baseline — You have decided to invest in GEO and AI visibility. Before you build, you need to understand what you are building against. Without knowing which competitors hold citations, for which queries, on which engines, and through which signals, any AI visibility investment is made without competitive context. The GEO Competitor Gap Analysis is the starting point — the document that defines what you are closing in on and in what order.

The marketing team that needs competitive intelligence for AI strategy — Your team is building an AI visibility strategy and needs hard data: citation frequency scores by competitor, engine-by-engine breakdowns, a comparison of which signals competitors hold that you don't, and a ranked list of gaps ordered by opportunity. Observations about competitors appearing in AI responses are not a strategy. A competitor citation matrix with a signal audit and a prioritised action plan is.

The Nepal export business competing internationally through AI channels — Your clients in Australia, the US, or the UK are researching Nepal-based vendors through AI engines. The responses those buyers read name your competitors. Understanding exactly how those competitors are structured in AI engines — what Wikipedia entries, press coverage, backlinks, and schema they carry — and where your gaps are is the prerequisite for reclaiming that citation space.

What's broken

You can see competitors in AI answers but have no data on the mechanism

Watching a competitor appear in a ChatGPT or Perplexity response is unsettling precisely because it offers no explanation. The response doesn't tell you how often that competitor appears, whether it appears on other engines, or what signals are producing that citation. Without that data, you cannot distinguish between a competitor who has a thin but lucky advantage and one who has systematically built AI citation authority across every relevant engine and query type. The GEO Competitor Gap Analysis makes that distinction visible.

Your AI visibility strategy has no competitive foundation

Most AI visibility work begins with building your own signals: entity data, Wikipedia coverage, press mentions, schema. That work is necessary. But done without a competitive analysis, it is undirected — you don't know whether you're building the right signals, at the right speed, against the right competitors. A competitor who already holds five citation signals you haven't started on will continue to widen their lead while you build in isolation.

You have no engine-by-engine competitive breakdown

Competitors can hold citation authority on ChatGPT without appearing on Perplexity. They can dominate Google AI Overviews while being absent from Claude. The query sets that surface them can differ across engines. Without a multi-engine citation sweep, you don't know where your competitive gap is widest, which engine represents your fastest opportunity, or whether a competitor's apparent dominance is broad or concentrated in one place.

You're making decisions about AI visibility without knowing what's driving competitor citations

A competitor appearing in AI responses may be cited because of a Wikipedia article, because of press coverage in a tier-1 publication, because of structured schema data, because of backlinks from authoritative sources, or because of content structure. These are different signals with different acquisition timelines and different levels of difficulty. Without a signal audit — a breakdown of what each competitor holds that you don't — you cannot prioritise the work. The GEO Competitor Gap Analysis delivers exactly that.

What we engineer

What we deliver

30-Query Test Set

a structured set of 30 industry queries covering awareness-stage, consideration-stage, and direct comparison queries built around your specific category, market, and target buyer

5-Engine Citation Sweep

every query tested across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude with all citation instances documented, producing a full dataset of who is cited where and how often

Competitor Citation Matrix

a matrix showing each competitor's citation frequency by engine and by query type, with citation frequency scores that allow direct comparison across your competitive set

Gap Analysis

a clear breakdown of where each competitor holds citation authority that you currently lack, structured by engine, by query type, and by the size of the citation gap

Signal Audit

an analysis of what signals each competitor holds that are driving their citations: Wikipedia entries, press coverage, schema implementation, backlink profile from authoritative sources, content formats, and entity data completeness

Prioritised Action Plan

a ranked list of gaps to close ordered by citation opportunity, competitor weakness, and implementation effort, giving your team a clear sequence for building the signals that will have the most impact in the shortest time

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What changes

Before

After

Before You move from observing that competitors appear in AI responses

After to understanding exactly why, where, and to what degree. The competitor citation matrix shows you which competitors are dominant across all five engines, which are strong on one or two, and which have weaker positions than their apparent AI visibility suggests. The signal audit shows you the specific things each competitor has that you don't — and crucially, it shows you which of those things are fast to acquire and which take sustained effort. The action plan turns that audit into a sequence: the first three things to build, the next five, and the longer-term signals to develop over six to twelve months. You no longer build your AI visibility programme in the dark. You build it with a precise, evidence-based map of the competitive landscape and a clear prioritised sequence for closing the gap.

Common questions

Frequently asked questions

What is GEO Competitor Gap Analysis?

GEO Competitor Gap Analysis is a structured audit that identifies which competitors are being cited in AI-generated responses in your market, how often, for which queries, on which AI engines, and what signals they hold that your brand currently lacks. It produces a competitor citation matrix, a signal audit, and a prioritised action plan specifically designed for businesses that need a competitive baseline before beginning or scaling their AI visibility work.

Why is GEO competitive analysis different from standard SEO competitor analysis?

GEO competitive analysis examines citation frequency across AI engines rather than keyword rankings in search results — and the signals that drive AI citations are categorically different from the signals that drive search rankings. A competitor can hold dominant AI citation authority through Wikipedia coverage, press mentions, and entity data without having a particularly strong SEO backlink profile, and vice versa. The sources, the signals, and the measurement methodology are entirely distinct. An SEO competitor audit tells you nothing useful about your AI citation gap.

What does the 30-query test actually cover?

The 30-query test covers three query categories: ten awareness-stage queries (category and problem queries buyers ask when starting their research), ten consideration-stage queries (recommendation and shortlist queries where buyers are evaluating specific options), and ten comparison queries (head-to-head and alternative queries where brand names appear most frequently). The specific queries are built from your category, your market, and the language your buyers actually use — they are not generic templates applied identically across all clients.

How long does the analysis take to complete?

The GEO Competitor Gap Analysis is delivered within seven to ten working days of the initial briefing. The competitor and query selection is completed in the first one to two days, the multi-engine sweep runs over three to four days, and the citation matrix, signal audit, and action plan are produced and reviewed over the final three to four days. The output is a complete document ready to act on, not a preliminary report requiring further scoping.

What does GEO Competitor Gap Analysis cost?

GEO Competitor Gap Analysis for Nepal-based businesses is priced from NPR 45,000, covering three to five competitors, 30 queries, the five-engine sweep, the competitor citation matrix, the signal audit, and the prioritised action plan. The price reflects the specific number of competitors included and the scope of the signal audit. Contact us for a proposal based on your competitive set and category.

What happens after the analysis is delivered?

The action plan produced by the GEO Competitor Gap Analysis is designed to feed directly into an ongoing AI visibility programme. Most clients use the output to prioritise which signals to build first, which engines to focus on in the early months, and where competitor weaknesses create a faster path to citation parity. The analysis is a standalone deliverable — you can act on it internally, or Ignited Nepal can execute the signal-building and content work the action plan identifies. There is no obligation to continue beyond the analysis itself.

Our team

The people behind the work

Not a black box. Real specialists you can call, with their names on the work.

Niraj Raut

Founder — Ecommerce SEO

Keshab Joshi

PPC Expert

Hawrry Bhattarai

Google Ads Expert

Arogya Rijal

SaaS SEO Expert

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Start here

Find out exactly which competitors are winning in AI search — and what they have that you don't

Before you build any AI visibility signals, you need to know what you are building against. The GEO Competitor Gap Analysis tests 30 queries across five AI engines, maps every competitor citation, audits every signal gap, and delivers a ranked action plan so you know what to close first. It is completed in seven to ten working days.

Run an AI Visibility Audit →

Run an AI Visibility Audit