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AEO CITATION AUDIT
Your website has dozens of pages. AI engines are citing only a handful of them — and in most cases, they are citing your competitors' pages instead of yours. The AEO Citation Audit from Ignited Nepal is a page-by-page examination of your site's citation performance across five major AI engines, scored against the competition and mapped to a prioritised content roadmap. You will leave knowing precisely where you stand, precisely where your rivals are ahead, and precisely what to fix first.
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/ This is for you if
Marketing directors and heads of digital at mid-size and enterprise firms who need to report AI visibility to leadership, but currently have no page-level data to work from. They know the headline problem exists; they need the granular evidence.
E-commerce and SaaS companies with large content catalogues — product pages, comparison guides, feature explainers, help documentation — where some pages are almost certainly earning AI citations and others are being skipped entirely. Without an audit, there is no way to know which is which.
Professional services firms — law, accountancy, consulting, financial services — whose authority and expertise should make them a natural reference for AI engines, but whose content is structured in ways that AI systems cannot easily parse or cite. The gap between what they know and what AI attributes to them can be significant.
In-house SEO and content teams that have invested heavily in traditional search optimisation and now need to understand how that investment translates — or fails to translate — into AI citation performance. They need a structured baseline before committing to additional content work.
/ What's broken
When a potential customer asks an AI engine which firm handles a particular problem, which product solves a specific need, or how two options compare — and your pages are not cited — you do not exist in that conversation. The visitor never sees your brand. They read an answer built from your competitors' content and act on it. You generated no impression, no click, no consideration.
Most organisations have written the right topics. The issue is execution: the page structure does not give AI systems a clear, extractable answer. The authority signals are absent. The content addresses general intent when the AI query is specific. The result is a library of content that ranks adequately in traditional search but earns zero citations in AI-generated responses. Nobody on your team knows this is happening because nobody has tested it.
Certain competitors are appearing in AI-generated answers repeatedly — cited across multiple query types, multiple engines, multiple intents. Every time that happens, they are building brand credibility with buyers who may never visit a traditional search results page. The citation gap compounds over time. The longer it takes to identify and close that gap, the harder it becomes to displace pages that AI engines have already learnt to trust.
Without a citation score for each URL, every decision about which pages to improve is based on assumptions. Teams work on pages that feel important rather than pages that are genuinely close to earning citations. Content budgets are allocated to new articles when existing pages could be fixed more efficiently. An audit replaces assumption with a ranked list of where effort will return the highest citation gains.
/ What we engineer
Each workstream is built by the team that audits it, and wired into the rest of your growth system.
every tested page scored by citation frequency across engines, with raw citation counts per AI system and per query category
citation rates for three competitors tested against the same query set, with side-by-side URL mapping showing which competitor pages are cited where yours are not
complete record of which pages (yours and competitors') were cited for each of the 100+ queries tested, across all five AI engines
written analysis identifying uncited pages with strong citation potential, query categories where you are absent but competitors are present, and structural content gaps that explain low citation rates
ranked list of page fixes and new content recommendations ordered by citation opportunity and estimated implementation effort
two-page summary of headline findings, competitive position, and the three highest-priority actions, formatted for presentation to senior leadership
/ Common questions
Straight answers on scope, timelines and cost. Anything else, ask us directly.
Ask us directlyAn AEO Citation Audit is a structured, URL-level analysis of how frequently your website pages are cited in AI-generated answers across five major AI engines, benchmarked against three competitors. It is not a general assessment of AI trends or a high-level visibility score — it is a page-by-page examination that produces a citation score for every URL tested, a competitor comparison matrix, and a prioritised roadmap for improving citation performance. The output is documented data, not recommendations based on assumptions.
The AI Visibility Audit assesses your overall presence and authority signals across AI systems — brand recognition, entity associations, structured data, and domain-level citation patterns. The AEO Citation Audit goes one level deeper: it operates at the individual page level, testing specific URLs against a specific query set to determine which pages earn citations and which do not. The two audits complement each other. If you have not had an AI Visibility Audit, that is typically the recommended starting point. If you have completed one and want page-level citation data, the AEO Citation Audit is the logical next step.
A page citation score is the number of times a specific URL on your site was cited across the full query set and across all five AI engines tested, expressed as a percentage of the maximum possible citations for that URL. A page that was cited in 40 of 100 queries across one engine has a different score from a page cited in 10 queries across four engines — the scoring methodology accounts for both breadth and depth of citation. The score is not a proxy metric. It is derived from direct testing, query by query, engine by engine.
The standard AEO Citation Audit takes ten to fourteen business days from the date the query set is approved. The query set is built in the first three days and submitted for your review before testing begins. Citation testing and competitor mapping take a further five to seven days. Gap analysis, roadmap preparation, and executive summary writing are completed in the final two to three days. Expedited delivery in seven business days is available for an additional fee.
The AEO Citation Audit is priced from £2,400 for sites with up to 200 tested URLs. Sites with larger URL sets or requiring more than three competitor domains are quoted individually. All pricing is fixed-fee with no variable components — the quoted figure is the total cost. Payment is split fifty per cent at engagement and fifty per cent on delivery of the final roadmap.
The audit delivers a prioritised roadmap — the work of acting on it is separate. Many clients engage Ignited Nepal for a content optimisation retainer to work through the roadmap systematically, which includes page rewrites, structural fixes, and new content production. Others take the roadmap to their in-house team or existing content partners. Either approach works. We offer a thirty-day post-delivery review call at no charge to discuss progress against the roadmap and answer questions that arise during implementation.
Start here
Every day that you operate without citation data is a day your team makes content decisions based on incomplete information, while competitors who have done the analysis are acting on it. The AEO Citation Audit gives you the complete picture: every page scored, every competitor mapped, every opportunity ranked.
Your pages are being tested by AI engines right now — you just do not know the scores yet.Ignited Nepal
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