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AI VISIBILITY AUDIT · DIAGNOSTIC SERVICE
Your customers are asking AI engines questions your competitors are already answering. The AI Visibility Audit is a 47-point diagnostic across 12 AI engines, completed in 5 working days, that tells you precisely where your brand appears, where it is absent, and what is suppressing your citation rate. You receive a prioritised action roadmap — not a slide deck full of observations, but a ranked list of changes ordered by impact and effort.
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/ This is for you if
Marketing directors and heads of digital at mid-market and enterprise firms who are watching organic search traffic shift toward zero-click AI answers and need to understand the gap between their current brand representation and what their competitors are achieving.
E-commerce and retail brands operating across the UK whose product categories, buying guides, and comparison queries are being answered by AI engines — often citing competitors — while their own content goes unmentioned despite significant SEO investment.
Professional services firms — including legal, financial, and consultancy practices — where brand trust and accurate entity representation matter enormously, and where a single factual error in an AI-generated answer about your firm can cause material reputational damage.
Growth-stage technology companies that have built brand recognition through traditional channels but have not yet structured their content, schema, or entity data in ways that AI engines recognise and cite.
/ What's broken
When a prospect asks ChatGPT, Perplexity, or Google's AI Overviews which providers are worth considering in your category, your name is not appearing — even though your website ranks well in traditional search. AI citation logic differs fundamentally from ranking logic, and most brands have not adapted to it.
AI engines are not neutral. They draw from structured data, trusted sources, and entity signals that many brands have never deliberately built. A smaller competitor with better-structured content and cleaner entity data will consistently displace a larger, better-known brand in AI answers.
Different AI engines hold different versions of your company — different descriptions, founding dates, service categories, and geographic reach. These inconsistencies compound over time as AI systems cross-reference each other.
Without a structured measurement of your AEO citation rate, GEO brand mention share, and LLMO accuracy score, you cannot tell whether any content or technical change is improving your AI visibility or making it worse. The audit establishes that baseline.
/ What we engineer
Each workstream is built by the team that audits it, and wired into the rest of your growth system.
how frequently your brand is cited when AI engines answer questions in your category
your share of brand mentions in AI-generated responses relative to identified competitors
whether AI engines describe your products, services, pricing, and positioning accurately
how fully and consistently your brand entity is represented across the knowledge graph sources that feed AI engines
whether your structured data is correctly implemented and feeding AI engines the signals they need to cite you confidently
a direct comparison of your citation rate against three named competitors across the same query set
/ What changes
/ Common questions
Straight answers on scope, timelines and cost. Anything else, ask us directly.
Ask us directlyThe audit covers 47 distinct checks across six dimensions: AEO citation rate, GEO brand mention share, LLMO accuracy, entity completeness, schema quality, and competitive AI citation gap. These are tested across 12 AI engines using 50 or more brand and category queries. You receive scored results, a detailed findings report, and a 90-day action roadmap.
Five working days reflects the minimum time required to run 50-plus queries across 12 AI engines, capture and analyse responses, build the competitive gap comparison, score all six dimensions accurately, and produce a prioritised action plan that is genuinely useful rather than rushed. We do not cut the engine set or the query volume to deliver faster.
Pricing is available upon request and is quoted in GBP based on the scope of your audit, the complexity of your competitive set, and the number of markets included. Contact Ignited Nepal for a fixed-price quote before any commitment.
The audit is a standalone deliverable. You can act on the findings with your internal team, share the report with your existing agency, or engage Ignited Nepal to implement the recommended changes. There is no obligation to purchase further services, though many clients choose to work with us on implementation once they see the audit results.
The standard audit covers 12 engines, including ChatGPT (GPT-4o), Perplexity, Google AI Overviews, Microsoft Copilot, Google Gemini, Claude, Meta AI, You.com, and additional engines relevant to your category and market. The specific engine list is confirmed during onboarding.
The audit includes both diagnosis and a prioritised action plan. Every finding is ranked by its expected impact on your AI visibility and the effort required to address it. The 90-day roadmap tells your team what to do and in what order — it is a strategic direction, not simply a list of technical observations.
Start here
AI engines are answering your customers' questions right now. The AI Visibility Audit tells you exactly where your brand stands, what is suppressing your citation rate, and which changes will improve it fastest. You receive the full 47-point report and 90-day action roadmap within 5 working days of your brief.
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