GEO COMPETITOR GAP ANALYSIS

Your Competitors Are Being Cited by AI. You Are Not. Here Is Why.

Every time a potential client asks ChatGPT, Perplexity, or Google AI Overviews which firms they should consider, an AI engine produces a shortlist. Ignited Nepal's GEO Competitor Gap Analysis maps exactly who appears on those shortlists, how often they appear, and which signals are driving their citations — so you can close the gap with precision rather than guesswork.

This is for you if

Who This Is For

Professional services firms — law practices, accountancies, consultancies, and financial advisory businesses — that have strong reputations in the traditional market but have not yet appeared in a single AI-generated recommendation list, despite competitors with comparable or lesser standing doing so consistently.

B2B technology and SaaS companies targeting UK enterprise buyers whose procurement teams now routinely use AI tools to produce initial vendor shortlists before any human outreach. If your competitors are named in those AI-generated shortlists and you are not, you are being screened out before the conversation begins.

Established consumer brands in categories where AI Overview boxes now dominate the top of the search results page — insurance, financial products, healthcare services, property — and where appearing in those overviews requires a different set of signals than traditional SEO.

Marketing and growth teams at mid-market to enterprise companies who know AI visibility is becoming a strategic priority, have been asked to report on it by leadership, and need a concrete, evidence-based baseline before committing budget to a long-term GEO programme.

What's broken

What's Broken

The intelligence gap is structural, not accidental.

You have invested years and considerable budget in SEO, PR, and content. You rank well on Google for core terms. Your domain authority is respectable. Yet when the same prospective clients type a buying-intent question into ChatGPT or Perplexity, a competitor's name appears in the response and yours does not. The signals that drive AI citation are partially, but not entirely, the same as the signals that drive search ranking — and most businesses have never audited the difference.

You are making competitor decisions based on incomplete data.

Standard SEO competitor analysis tells you about ranking positions, backlink profiles, and organic traffic estimates. It does not tell you which competitors are being cited in AI-generated responses, for which queries, on which engines, with what frequency. Without that data, you cannot know whether you are facing a content gap, an authority gap, a structured data gap, or a source-diversity gap — and you cannot prioritise your response intelligently.

The gap compounds over time.

AI engines learn from the content they index and the sources they trust. A competitor that has been cited consistently for eighteen months has built a citation momentum that is increasingly difficult to displace. Every month you spend without a clear picture of the competitive landscape is a month your competitors consolidate their position in AI-generated responses.

Generic GEO advice does not address your specific competitive context.

The playbooks circulating in marketing communities are written for hypothetical businesses. Your competitive situation — the specific queries your buyers use, the specific competitors you face, the specific gaps in your authority signals — is unique. A general content checklist does not tell you why your competitor is cited and you are not. This analysis does.

What we engineer

What We Do

A 30-query test set

built around your actual category, covering awareness-stage queries ("what firms handle X"), consideration-stage queries ("how to choose a provider for X"), and comparison queries ("X vs Y vs Z") — all designed to reflect the language your buyers use when consulting AI tools at different stages of the decision process.

A multi-engine citation sweep

running each query through ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude, with every AI-generated response logged, competitor mentions extracted, and citation frequencies calculated.

A competitor citation matrix

showing, in a single reference document, which of your three to five named competitors was cited for which queries on which engines, with citation frequency scores attached to each competitor-query-engine combination.

A gap signal audit

examining the specific authority signals your cited competitors possess that your current web presence does not — including Wikipedia presence, press and editorial coverage, structured data and schema implementation, backlink source diversity, content format breadth, and entity recognition across the open web.

A prioritised action plan

ranking each identified gap by three factors: the citation opportunity available if the gap is closed, the relative weakness of the competitor signal in that area, and the implementation effort required on your side.

An executive summary

written for leadership consumption, translating the technical findings into business terms: where you stand relative to competitors in AI-generated responses, what the gap means commercially, and what a 90-day response would involve.

What changes

What Changes

Before
After
Before You stop competing blind.
After Before this analysis, your team makes GEO decisions based on general best-practice articles and inference. After it, every decision is grounded in evidence: you know which competitors are cited, you know precisely why, and you know which gaps are worth closing first based on effort and opportunity.
Before Your content and PR investment becomes targeted.
After The gap signal audit identifies specific content formats, source types, and coverage gaps that are driving competitor citations. Rather than producing general thought-leadership content and hoping it improves AI visibility, your team produces the specific assets — long-form guides, structured comparison pages, third-party editorial placements — that the data identifies as citation drivers in your category.
Before You build a measurement baseline.
After The citation matrix becomes the benchmark against which future improvements are measured. When you retest in 90 days, you know exactly whether your gap has closed, held, or widened — and on which engines and query types movement has occurred.
Before Leadership gets a clear answer to a question they are already asking.
After The question "are we visible in AI search?" is now a board-level concern in most mid-market and enterprise businesses. This analysis provides a documented, evidence-based answer — not an estimate, not a projection, but a measured snapshot of where you stand relative to named competitors at a specific point in time.
Common questions

FAQ

What is a GEO Competitor Gap Analysis?

A GEO Competitor Gap Analysis is a structured study that measures which of your competitors are being cited in AI-generated responses, how frequently they appear across different AI engines, and what specific signals are driving those citations that your current web presence lacks. It is not a theoretical framework or a general audit checklist — it is a measurement exercise run against your named competitors, your specific industry queries, and the five AI engines your buyers are most likely to use.

How does AI competitive analysis differ from traditional SEO competitive analysis?

Traditional SEO competitive analysis measures ranking positions, backlink profiles, domain authority, and organic traffic. AI citation analysis measures something structurally different: whether an AI language model, when processing a query relevant to your category, has sufficient confidence in your entity's authority and relevance to include you in its generated response. The signals that build that confidence — third-party editorial coverage, structured entity data, Wikipedia presence, content comprehensiveness on specific topics — overlap with, but are not identical to, the signals that drive search ranking. A business can rank well organically and be almost entirely absent from AI-generated responses, which is the situation a significant proportion of our UK clients find themselves in.

What does the 30-query test actually cover?

The 30-query test set is constructed to cover the full decision journey in your specific category. Approximately ten queries represent awareness-stage intent — the kind of open questions a buyer asks when they are first defining their problem or researching a category. Ten queries represent consideration-stage intent — questions about how to evaluate providers, what criteria to use, and what the differences between approaches are. The remaining ten are comparison queries — direct head-to-head questions naming specific competitors or asking AI engines to compare named providers. This distribution reflects how buyers actually use AI tools across a purchase journey, rather than testing only the most obvious branded or category terms.

How long does the engagement take?

The standard GEO Competitor Gap Analysis is delivered within ten to fourteen working days from the date of the initial briefing session. The briefing session itself typically takes 60 to 90 minutes and covers competitor selection, query set validation, and engine prioritisation. The citation sweep, matrix construction, gap audit, and action plan are all completed within the delivery window. If your organisation requires an accelerated timeline for a board presentation or a pitch process, we can discuss a compressed schedule during the briefing.

What does this service cost?

The standard GEO Competitor Gap Analysis engagement is priced at £2,400 for three competitors and scales to £3,200 for five competitors. Both tiers include the full 30-query sweep across all five engines, the citation matrix, the gap signal audit, the prioritised action plan, and the executive summary. Ongoing monthly retainer options for citation tracking and action plan implementation are available and are quoted separately following delivery of the initial analysis.

What happens after the analysis is delivered?

The action plan we deliver is a prioritised list of specific, implementable steps — not a general recommendation document. You can act on it with your in-house team, assign it to existing agency relationships, or commission Ignited Nepal to implement priority items under a separate engagement. Most clients choose to retest citation frequency at the 60 to 90-day mark to measure progress against the initial baseline; we offer a structured retest at a reduced rate for clients who have received the original analysis from us.

Our team

The people behind the work

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

Niraj Raut

Niraj Raut

Founder — Ecommerce SEO
Keshab Joshi

Keshab Joshi

PPC Expert
Hawrry Bhattarai

Hawrry Bhattarai

Google Ads Expert
Arogya Rijal

Arogya Rijal

SaaS SEO Expert
Start here

Know exactly where you stand in AI-generated responses before your competitors extend their lead further.

The GEO Competitor Gap Analysis gives you a measured, evidence-based answer to the question your leadership team is already asking — and a prioritised plan for closing the gap. Engagements book two to three weeks in advance; the sooner you begin, the sooner you have a baseline to work from.

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