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Most Nepali businesses have no idea whether ChatGPT, Gemini, or Perplexity mentions them at all. This audit tells you precisely where you appear, where you're missing, and what it will take to close the gap. The AI Visibility Audit from Ignited Nepal is a 47-point diagnostic across 12 AI engines, delivered in 5 working days, with a prioritised action roadmap so you know exactly what to do next.
You do not know your current AI visibility status. You have a website, you may rank on Google, but you have never tested what ChatGPT, Gemini, Perplexity, or Bing AI actually says about your brand, your category, or your competitors. You need a baseline before you can make any informed decision.
You are about to invest in AI search optimisation. You have heard about AEO, GEO, and LLMO — Answer Engine Optimisation, Generative Engine Optimisation, and Large Language Model Optimisation — and you want to invest. But committing budget without knowing where you currently stand means you cannot measure improvement, cannot prioritise effort, and cannot justify the spend.
You are a leadership team that needs data before committing budget. The board wants numbers. The CFO wants justification. "We should invest in AI search" is not a budget line. A scored audit with competitive benchmarking gives you the data to present, defend, and act on.
You have already done some AI optimisation work and want to measure it. You have updated your schema, improved your entity presence, or worked on your content. But without a formal benchmark, you cannot tell whether it moved the needle. The audit scores your current state so the next round of work is targeted, not speculative.
You cannot optimise something you have never measured. If you do not know your AEO citation rate — meaning what percentage of relevant AI queries actually surface your brand as a source — you are managing blind. The same is true for your GEO brand mention share, your LLMO accuracy score, and your entity health. These metrics do not appear in Google Analytics. They require specific, structured testing.
Businesses across Nepal are beginning to allocate budget toward AI search. Some are adding FAQ content. Some are updating schema markup. Some are producing more structured content. All of that can be the right move — but if it is not prioritised against a diagnostic baseline, it is effort distributed on instinct rather than data. The result is wasted spend on low-impact work while high-impact gaps go unaddressed.
The audit includes a competitive gap analysis against three competitors. In some industries, one or two players have already made deliberate moves to improve their AI citation rate. If a competitor is being mentioned by Perplexity or ChatGPT in response to queries that should surface your brand, that is a direct commercial disadvantage. You cannot close a gap you cannot see.
The LLMO accuracy score in this audit tests what large language models actually know about your business — the accuracy of that knowledge, not just whether they mention you. A business can be mentioned and still be misrepresented: wrong location, wrong services, outdated pricing, confused entity. That inaccuracy erodes trust at the exact moment a potential customer is making a consideration decision.
A structured document covering all tested engines, all scoring dimensions, all findings ranked by severity.
A side-by-side comparison of your citation rate and brand representation against three nominated competitors.
An assessment of how completely and consistently your brand entity is represented across AI knowledge sources.
A review of your existing structured data markup against current standards for AI-readability.
Your three core AI visibility scores in one document, with benchmarks for your industry where available.
A 90-day action roadmap with every recommendation ranked by impact and effort, so you know which fixes to make first.
The audit includes 47 distinct diagnostic checks across 12 AI engines, covering your AEO citation rate, GEO brand mention share, LLMO accuracy score, entity health, schema quality, and a competitive gap analysis against three competitors. Every check is documented with evidence, every score is explained, and the full output includes a prioritised 90-day action roadmap. This is a complete diagnostic of your current AI visibility position — not a summary report or a checklist.
The audit is delivered in 5 working days from the completion of your brief and onboarding. Day 1 is brief confirmation and scope setup. Days 2 and 3 are testing and competitive analysis. Day 4 is scoring and diagnosis. Day 5 is action plan production and delivery. There is no extended discovery phase — the structured brief we collect at onboarding gives us everything we need to begin immediately.
The AI Visibility Audit is priced at NPR 75,000 for the standard scope covering one brand, three competitors, and 12 AI engines. This includes all six deliverables: the full audit report, competitive gap analysis, entity health score, schema audit, AEO/GEO/LLMO score card, and the 90-day action roadmap. Custom scopes — additional competitors, expanded query sets, or sector-specific engine weighting — are quoted separately.
You receive your full audit report and action plan, and we walk you through the findings in a 60-minute delivery call. From there, you can implement the action plan independently using your own team, or you can engage Ignited Nepal to execute the priority items through our AI visibility optimisation retainer. The audit is a standalone product — there is no obligation to continue. Most clients use the first 30-day action tier immediately and then decide on ongoing support based on results.
The audit covers 12 AI engines including ChatGPT (GPT-4o), Google Gemini, Perplexity AI, Microsoft Copilot, Claude, Meta AI, You.com, Brave Leo, and additional engines selected based on your target audience and market. The 12-engine scope is fixed for the standard audit. We do not limit testing to the two or three most popular engines — citation behaviour and brand representation vary significantly across platforms, and gaps on one engine frequently do not appear on another.
The audit includes both a diagnostic and a structured action plan — these are not separated. Every finding in the 47-point audit is mapped to a specific recommended action, and every action is ranked by its impact-to-effort ratio and slotted into a 90-day roadmap. What the audit does not include is ongoing implementation. The strategy for what to do is fully built into the deliverable. Implementation — executing the schema fixes, content updates, entity corrections, and PR actions — is available as a separate engagement if needed.
Every month you operate without a baseline is a month your competitors may be pulling further ahead in AI-generated answers. The AI Visibility Audit gives you the scored data, the competitive comparison, and the 90-day action plan you need to move from uncertainty to action — in 5 working days.
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