AI VISIBILITY ENGINEERING

Your Australian competitors are being cited in AI-generated answers — and you have no systematic data on where, how often, or why

GEO Competitor Gap Analysis is a structured competitive study built specifically for AI engines. Ignited Nepal tests 30 industry queries across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude against three to five of your direct Australian competitors, records every citation instance, builds a competitor citation matrix with frequency scores, audits the signals driving those citations, and delivers a prioritised action plan to close the gap. If you are about to invest in AI visibility or you have already started and want competitive context, this is where the work begins.

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This is for you if

The Australian business that has watched competitors appear in AI responses

The company launching AI visibility work that needs a competitive baseline

The marketing team building an AI strategy that needs hard competitive data

The Australian B2B brand losing research-phase consideration to AI-cited competitors

What's broken

You know competitors appear in AI responses but you have no data on the depth of the gap

The Australian market is at an early stage of AI visibility competition. Most businesses have not systematically measured their citation rate or mapped their competitors' citation positions. The result is that decisions about AI visibility investment — how much, in what area, against which competitors — are being made on the basis of anecdote rather than data. A competitor who appeared in one ChatGPT response might hold dominant citation authority across all five engines, or they might have a single lucky instance. Without a systematic sweep, you cannot tell.

Your AI visibility work lacks competitive direction

Building Wikipedia entries, press coverage, schema data, and structured content are all valid AI visibility signals. But without a competitor signal audit, you don't know which of these signals is most responsible for your competitors' citation advantage, which signals your competitors are weakest in, or which gaps you could close fastest. Undirected signal building is slow and expensive. A prioritised action plan built from competitive data is neither.

You have no engine-level competitive breakdown

Australian competitors can hold citation authority on ChatGPT that does not extend to Perplexity. They can appear in Google AI Overviews without appearing in Claude. The query types that surface them can differ by engine. Without testing all five engines with the same query set, you don't know whether a competitor's AI presence is broad and entrenched or narrow and vulnerable. That distinction changes everything about how you prioritise the response.

The signal gap between you and cited competitors is unknown and therefore unaddressable

Citation signals in AI engines include Wikipedia coverage, press mentions in authoritative Australian and international publications, schema implementation, backlinks from sources AI engines weight heavily, content format choices (FAQ pages, comparison pages, structured guides), and entity data consistency. Each competitor's citation advantage is a function of some combination of these signals. Until you know which ones they hold and you don't, you cannot build a credible plan to close the gap. That is what the signal audit produces.

What we engineer

What we deliver

30-Query Test Set

a structured query set covering awareness, consideration, and comparison stages, built from your specific category, competitive set, and the search patterns your Australian buyers use when consulting AI engines during vendor research

5-Engine Citation Sweep

all 30 queries tested across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude, with every citation instance documented by engine, query, and frequency across the sweep

Competitor Citation Matrix

a structured matrix showing which competitors are cited for which queries on which engines, with citation frequency scores providing a direct competitive comparison across your entire set

Gap Analysis

a clear identification of where each competitor holds citation authority that your brand currently lacks, structured by engine, by query category, and by the scale of the gap

Signal Audit

a breakdown of what each cited competitor holds in Wikipedia coverage, press and media mentions, schema implementation, authoritative backlinks, content formats, and entity data — compared directly against your current signal position

Prioritised Action Plan

a ranked implementation sequence ordering gaps by citation opportunity, competitor weakness, and implementation effort, giving your team a clear, evidence-based starting point for AI visibility work in the Australian market

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What changes

Before

After

Before You stop guessing about why competitors appear in AI responses and start working from a documented, evidence-based picture of the competitive landscape.

After Australian businesses that start their AI visibility investment with this analysis build faster and with less wasted effort than those who begin without competitive data.

Common questions

Frequently asked questions

What is GEO Competitor Gap Analysis?

GEO Competitor Gap Analysis is an audit that identifies which competitors are being cited in AI-generated responses in your market, at what frequency, on which engines, for which query types, and through which signals. It produces a competitor citation matrix, a gap analysis, a signal audit, and a prioritised action plan — giving you a complete, evidence-based competitive picture of the AI visibility landscape in your category.

Why is GEO competitive analysis different from an SEO competitor audit?

GEO competitive analysis measures citation frequency in AI-generated responses, not keyword rankings in search results, and the signals that drive AI citations are different from the signals that drive search rankings. Wikipedia coverage, press mentions in authoritative publications, entity data consistency, and specific content formats drive AI citations in ways that have no direct equivalent in traditional SEO analysis. A competitor with a modest backlink profile can hold dominant AI citation authority if their entity signals and press coverage are strong. SEO tools do not surface this.

What does the 30-query test cover?

The 30-query test covers three stages of the buyer journey: awareness queries (category and problem-framing questions buyers ask when they are not yet thinking about specific vendors), consideration queries (recommendation, shortlist, and evaluation queries), and comparison queries (direct head-to-head and "alternatives to" queries where brand names appear most frequently in AI responses). The specific queries are built from your category and the language Australian buyers use — they are not generic templates.

How long does the analysis take?

GEO Competitor Gap Analysis is completed and delivered within seven to ten working days of the briefing session. Competitor and query selection is finalised 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 completed over the final three to four days. The output is a complete, actionable document — not a preliminary scoping report.

What does GEO Competitor Gap Analysis cost?

GEO Competitor Gap Analysis for Australian businesses is priced from AUD $2,800, covering three to five competitors, 30 queries, the five-engine sweep, the competitor citation matrix, the gap analysis, the signal audit, and the prioritised action plan. Pricing varies with the number of competitors included and the depth of signal audit required. Contact us for a proposal based on your specific competitive set and category.

What happens after the analysis is delivered?

The action plan from the GEO Competitor Gap Analysis is designed to feed directly into an AI visibility programme. Most Australian clients use the output to direct their first ninety days of signal-building work — knowing which gaps to close first, which engines to prioritise, and where competitor weaknesses create a faster path to citation parity. The analysis is a standalone deliverable. You can act on it with your own team or engage Ignited Nepal to execute the signal-building and content work the action plan identifies.

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

Before you build AI visibility, know exactly what you are building against

The GEO Competitor Gap Analysis tests 30 queries across five AI engines, maps every competitor citation across the Australian market, audits every signal gap, and delivers a ranked action plan so you know what to close first. Seven to ten working days from briefing to delivery.

Run an AI Visibility Audit →

Run an AI Visibility Audit