AI VISIBILITY AUDIT

Your Competitors Are Being Cited by AI. Find Out If You Are.

Australian consumers are increasingly asking ChatGPT, Perplexity, and Google Gemini for recommendations, comparisons, and category research — and the brands that appear in those answers are capturing intent at the point of decision. This audit tells you exactly where your brand stands across 12 AI engines, across three distinct measurement dimensions, in 5 working days. The output is a 47-point diagnostic report and a prioritised action roadmap — not a general overview, but a scored, evidence-backed assessment of your current AI visibility position.

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This is for you if

Built for Australian businesses that need data, not assumptions.

You have never measured your AI visibility. You have strong organic search performance, a well-maintained website, and possibly some schema markup — but you have never run a structured test to find out what ChatGPT, Gemini, or Perplexity says when someone asks about your category. That gap between "we have good SEO" and "we know our AI citation rate" is exactly what this audit closes.

You are planning to invest in AI search optimisation. You have budgeted for AEO or GEO work — or you are in the process of justifying that budget to a board or CFO. Committing to optimisation spend without a diagnostic baseline means you cannot measure return, cannot prioritise correctly, and cannot demonstrate improvement. The audit produces the before-state that makes every dollar of optimisation accountable.

Your leadership team needs evidence before committing resources. Australian marketing and growth leaders frequently tell us that the internal case for AI search investment is harder to make than the external one. Stakeholders want data. They want competitive context. They want to know what the gap is before they agree to close it. This audit produces that evidence in a format that works for board presentations, budget submissions, and executive briefings.

You have already begun AI optimisation work and want to measure progress. You have updated structured data, produced FAQ content, or started entity-building work. But if you did not start with a baseline, you have no way to quantify the impact. The audit scores your current state across five dimensions so your next round of work is targeted against evidence, not intuition.

What's broken

The gap between "we're doing AI search" and "we know where we stand" is costing Australian businesses real visibility.

There is no baseline for AI visibility.

Unlike Google Search Console, which gives you clicks, impressions, and positions, AI engines do not provide a performance dashboard. Your AEO citation rate — the percentage of relevant queries that surface your brand — is not a metric you can pull from an existing tool. Neither is your GEO brand mention share or your LLMO accuracy score. These require specific structured testing, and without them, you are making decisions in the absence of the most critical input.

Budget is being committed without a diagnostic.

Australian businesses are beginning to invest meaningfully in AI search — content production, technical implementation, PR for citation building. These can all be the right investments. But without a diagnostic that shows which gaps are largest and which fixes have the highest impact-to-effort ratio, spend gets distributed based on what seems important rather than what the data shows is important. The result is diluted impact.

Competitors may have already established an AI visibility advantage.

The competitive gap analysis in this audit compares your citation rate and brand representation against three competitors. In several Australian categories — particularly professional services, financial comparison, health, and B2B technology — early movers have already built meaningful AI citation advantages. If a competitor is appearing in AI-generated answers to queries that should surface your brand, that is a direct revenue risk. You cannot address that risk without first knowing it exists.

AI engines may be representing your brand inaccurately.

The LLMO accuracy score in this audit tests not just whether AI engines mention you, but whether what they say about you is correct. A business can be mentioned and still have its location wrong, its services misrepresented, its pricing described incorrectly, or its brand confused with a competitor. These inaccuracies affect buying decisions at exactly the moment a potential customer is evaluating their options — and they are invisible without structured testing.

What we engineer

A 47-point diagnostic that covers every dimension of your AI visibility — across 12 engines, in 5 days.

AEO Citation Rate

This is the share of relevant AI queries where your brand or your content is cited as a source. Citation is the gold standard of AI search visibility: it means an AI engine trusts your content enough to reference it. A low citation rate is the most common finding in Australian businesses that have not done structured AI optimisation work.

GEO Brand Mention Share

This measures how often your brand name appears in AI-generated answers compared to the total answer landscape for your category. A business can have a low citation rate but a reasonable mention share — or vice versa. Understanding both metrics tells you whether your brand is present but not trusted, or trusted but narrow in scope.

LLMO Accuracy Score

This tests the factual accuracy of what AI engines know about your business. It identifies wrong information, outdated details, missing attributes, and entity confusion. For Australian businesses with multiple locations, varied service offerings, or recent rebrands, this score frequently reveals significant inaccuracies that require correction at the knowledge-base level.

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What changes

Having the audit changes how you make decisions, not just what you know.

Before

After

Before informed speculation

After You have a scored baseline. Your AEO citation rate, GEO brand mention share, and LLMO accuracy score exist as documented, evidence-backed numbers for the first time. Every future piece of AI optimisation work — whether it is schema improvements, content restructuring, entity corrections, or citation-building PR — can be measured against this baseline. That is what allows you to demonstrate ROI on AI search investment, which is the single most common request from Australian marketing leadership.

Before general concern about competition

After You have a competitive intelligence advantage. The gap analysis does not tell you that competitors "may be ahead." It tells you which competitors are being cited on which query types, at what rate, across which engines. That level of specificity turns a general concern about competition into a targeted response plan. You know exactly which ground to reclaim and in which order to reclaim it.

Before a list of observations

After You have a prioritised action plan, not a list of observations. This is the distinction that makes the audit operationally valuable rather than just informative. Every finding is mapped to an action. Every action is ranked. The 90-day roadmap is structured so that your team can begin on day one — the first 30 days are the highest-leverage, fastest-to-implement fixes; the following 60 days address structural improvements that compound over time.

Before narrative alone

After You have a document that works inside your organisation. The audit report and score card are formatted to work in executive presentations, budget submissions, and team briefings. Australian leadership teams regularly use the audit output to secure internal sign-off for AI search investment — the scores and competitive benchmarks provide the evidence layer that narrative alone cannot deliver.

Common questions

FAQ

What exactly does the AI Visibility Audit include?

The audit includes 47 distinct diagnostic checks covering your AEO citation rate, GEO brand mention share, LLMO accuracy score, entity health, schema quality, and a competitive gap analysis against three competitors across 12 AI engines. Every check is documented with the raw evidence — the actual AI-generated response that supports the finding — and the full output includes a prioritised 90-day action roadmap. This is a complete, scored diagnostic of your current AI visibility position, not a summary overview.

How long does the audit take to complete?

The audit is delivered in 5 working days from the point your brief is confirmed. Day 1 covers brief confirmation and scope setup. Days 2 and 3 are structured testing across 12 engines and competitive analysis. Day 4 is scoring and diagnosis. Day 5 is action plan production and delivery, followed by a 60-minute walkthrough call. There is no waiting period or extended onboarding — we begin the day your brief is complete.

What does the audit cost?

The AI Visibility Audit is priced at AUD 2,500 for the standard scope, which covers one brand, three competitors, and all 12 AI engines. This includes all six deliverables: the full 47-point audit report, competitive gap analysis, entity health score, schema audit, AEO/GEO/LLMO score card, and the 90-day prioritised action roadmap. Custom configurations — additional competitors, expanded query sets, or sector-specific engine weighting — are quoted on request.

What happens after the audit is delivered?

You receive your full report and action plan, and we walk through the findings together in a 60-minute delivery call. From there, you implement independently using your own team, or you engage Ignited Nepal to execute the priority items through an ongoing AI visibility optimisation engagement. The audit is a complete standalone product — there is no automatic continuation or obligation. Most Australian clients use the first 30-day action tier straight away and make a decision about ongoing support based on what the early implementation reveals.

Which AI engines are included in the testing?

The audit tests 12 AI engines including ChatGPT (GPT-4o), Google Gemini, Perplexity AI, Microsoft Copilot, Claude, Meta AI, You.com, Brave Leo, and additional platforms selected based on Australian market usage and your specific audience. We do not restrict testing to the two or three highest-volume engines, because citation behaviour and brand representation vary significantly across platforms — a brand that is well-cited on Perplexity may be absent or misrepresented on Copilot, and that variation is exactly what the multi-engine scope is designed to surface.

Does the audit include a strategy, or is it purely diagnostic?

The audit includes both a full diagnostic and a structured action plan — these are not separated. Every finding in the 47-point framework is mapped to a specific recommended action, and every action is ranked by impact and effort and placed into a 90-day roadmap. The audit tells you what is broken, why it matters, and what to do about it in what order. What it does not include is ongoing implementation — executing the changes is available as a separate engagement. But the strategy for what to do and when is fully built into the deliverable you receive at the end of 5 working days.

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

About Us →

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The baseline does not exist until you create it. Five working days is all it takes.

Australian businesses that have completed the AI Visibility Audit consistently say the same thing: they had no idea the gap was that large, or that the gap was that specific. The audit gives you the scored evidence, the competitive benchmark, and the prioritised 90-day action plan you need to move from assumption to action.

Run an AI Visibility Audit →

Run an AI Visibility Audit