AEO Citation Audit — Page-Level AI Visibility Intelligence

Find Out Which of Your Pages AI Engines Are Citing — and Stop Losing Ground to Competitors Who Know

American buyers are using ChatGPT, Perplexity, Google AI Overviews, and Copilot to research, compare, and decide. Those AI engines are citing specific pages from specific businesses every time they generate an answer. If you don't know which of your pages are being cited, which are being ignored, and which competitor pages are showing up in your place, you're making content decisions without the most important data available. The AEO Citation Audit from Ignited Nepal gives you a page-by-page breakdown of your citation performance across five AI engines, a full competitor comparison, and a prioritised roadmap for taking back the citation share you should own.

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This is for you if

Who This Is For

Businesses with an existing content library who need to know what's earning citations. If your business has been producing content — articles, landing pages, comparison guides, FAQ sections, resource hubs — for any length of time, you have a library that may or may not be performing inside AI answers. The gap between having content and being cited by AI engines is significant and largely invisible without a structured audit. This engagement maps every page on your site against the queries your US market is asking and tells you, with a citation score per URL, exactly where you stand.

Companies that have invested in AEO and want to measure the return. If your team has made deliberate changes to improve AI visibility — restructuring content for answer density, adding schema markup, building out FAQ sections, improving topical authority — you need page-level data to confirm those changes are working. Broad AI visibility metrics tell you if something changed at the surface. Page-level citation scores tell you which specific URLs improved, which queries you've earned, and which parts of your AEO investment still need attention.

Businesses losing citation share to competitors. In competitive US markets — whether you're in SaaS, professional services, e-commerce, healthcare, finance, or any other category — AI citation displacement is already well underway. A competitor is being cited on queries your business should own. That isn't happening by accident. It's happening because of specific content and structural differences between their pages and yours. This audit maps exactly where the displacement is occurring and what's causing it.

Businesses planning content investment and wanting to direct it precisely. Before you commission new content, add writers to your team, or invest in a content management initiative, it makes sense to know what the data actually supports. The roadmap from this audit tells you which of your existing pages are close to earning citations and just need targeted fixes, which queries represent open territory with no strong citation-earner from anyone in your competitive set, and where a single well-structured new page could capture multiple citation opportunities. It replaces editorial intuition with citation intelligence.

What's broken

What's Broken

Pages are going live and earning zero AI citations.

Content investment in the US has never been higher. Teams are producing more pages, more detailed guides, more expert content than at any point in the history of digital marketing. But AI engines are more selective than search engines ever were. They don't cite pages because those pages are well-written or well-ranked. They cite pages that meet specific criteria at the query level — criteria that have nothing to do with word count, publication date, or author credentials if the structural and authority signals aren't present. A page can rank on page one in Google and still earn zero AI citations, and most businesses have no way of knowing that's happening until they measure it.

There is no visibility into which specific pages are earning AI citations.

Standard analytics platforms — GA4, Search Console, any SEO tool — do not report AI citation data. They can't tell you which of your pages ChatGPT referenced when a US buyer asked a relevant question last Monday. They can't show you your citation rate by page, by query category, or by AI engine. Without a structured citation audit, you are making every content strategy decision — what to update, what to create, what to cut — without the data that now matters most for AI-era visibility.

Competitors with weaker content are earning citations that should be yours.

This is one of the most common findings in citation audits conducted in US markets, and it's consistently the finding that motivates the fastest response. A competitor has a page that is demonstrably shorter, less accurate, less current, or less comprehensive than yours. That page is being cited by multiple AI engines on queries where your page earns nothing. The reason is always structural and documentable — and the path to reversing it is specific, not general. Without the citation data showing you exactly where this is happening, you cannot build a case internally for the changes required to fix it.

There is no prioritised roadmap for closing the gap.

US content teams are rarely short of ideas. What they're short of is prioritisation based on citation opportunity rather than editorial interest or keyword volume. Which pages should be fixed first? Which queries represent the highest citation opportunity? Which new pages would produce the greatest improvement in overall citation rate? Without citation-specific data driving the answers, every prioritisation decision is based on the wrong inputs.

What we engineer

What We Do

Page-by-page citation scorecard

every indexed page on your site tested against the full query set, with a citation score per URL showing which queries each page is cited for, how often, and across which AI engines

Query-to-page citation map

a structured document showing, for each query in the set, which page (if any) was cited, whether it was yours or a competitor's, and the citation rate achieved

Competitor citation comparison report

three competitors tested against the same query set, with documented citation rates, cited URLs, and analysis of the structural and content factors explaining their performance on queries where they outperform you

Uncited page analysis

a list of pages on your site with clear citation potential that are currently earning zero citations, with a diagnostic note on the likely cause for each

Content gap register

a list of queries in your US market where no page on your site is positioned to earn a citation, representing identified new-content opportunity

Prioritised opportunity roadmap

a ranked action list ordered by citation opportunity and implementation effort, specifying which pages to fix with which changes and which new pages to create targeting which query clusters

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What changes

What Changes

Before

After

Before You go from publishing to targeting.

After The difference between a content team that publishes and hopes and a content team that targets and measures is entirely a function of the data available to them. When you know which pages are earning citations and why, and which pages are being skipped and why, every content decision becomes a directed one. You're not choosing topics based on interest or keyword volume alone. You're choosing them based on citation opportunity — and that changes your hit rate significantly.

Before Your editorial team and your growth team speak the same language.

After One of the persistent tensions in US content operations is the gap between what editorial teams want to create and what growth teams can demonstrate is working. Page-level citation scores give both teams a shared metric that is unambiguous, comparable, and directly tied to the visibility outcomes that matter in an AI-era search environment. The roadmap this audit produces becomes the common brief that aligns both teams on what to do next.

Before You establish a citation baseline you can build on.

After The citation scorecard this audit delivers is your starting point. Every page has a documented score at a specific point in time. When you make changes — to page structure, to content depth, to internal linking — and you re-test, you can see exactly which pages improved, which queries you've claimed, and what your overall citation rate looks like compared to the baseline. That kind of longitudinal measurement is the only way to know whether your AEO investment is compounding or stagnating.

Before You stop losing ground silently.

After In competitive US markets, AI citation share is shifting constantly. Businesses that don't know their citation rate have no way of detecting when they're losing ground until the downstream effects show up in traffic, leads, or brand perception — by which point the gap may be significant. Having page-level citation data means you detect displacement early, when it's specific and addressable, rather than late, when it's broad and expensive to reverse.

Common questions

FAQ

What is an AEO Citation Audit?

An AEO Citation Audit is a structured, systematic analysis of which pages on your website are being cited by AI engines when they generate answers to questions in your market. It tests every indexed page against a custom-built query set across five AI platforms, produces a citation score per URL, compares your performance against three competitors, and delivers a prioritised roadmap for improving your citation rate. The output is a complete measurement of where you stand in AI-generated answers — specific, comparable, and directly actionable.

How is this different from the AI Visibility Audit?

The AI Visibility Audit gives you a brand-level view of how your company appears in AI answers overall. The AEO Citation Audit operates at the individual page level: every URL is tested against the full query set, scored, and mapped to specific queries. The competitor analysis goes deeper too — rather than comparing brand-level visibility, it tests the same query set against three competitors and identifies specifically which of their pages are outperforming yours and why. For US businesses in competitive categories where the margin between winning and losing citations is a structural difference rather than a content quality difference, this level of granularity is what makes the analysis actionable.

What does page-level citation scoring mean in practice?

Each page on your site receives a citation score based on how many queries in the test set it was cited for, across how many of the five AI engines, and with what frequency. A page with a high score is one that AI engines trust, reference consistently, and use as source material for answers. A page with a score of zero is being passed over — regardless of how relevant its content is, how well it ranks in traditional search, or how much editorial effort went into producing it. The score gives every URL on your site a concrete, comparable metric. That comparability is what makes prioritisation decisions data-driven rather than instinct-driven.

How long does the audit take?

The AEO Citation Audit takes ten to fourteen business days from project kickoff to final delivery of the complete report and roadmap. The citation testing phase — running 100 or more queries across five AI engines for your site and three competitors — is the most time-intensive part of the engagement and cannot be meaningfully compressed without producing unreliable results. Fourteen business days is the window that allows complete testing, thorough competitor mapping, and a roadmap built on a full and accurate dataset rather than a partial sample.

What does the AEO Citation Audit cost?

The AEO Citation Audit is priced from USD 1,200 for a standard engagement covering up to 50 pages, a 100-query test set, and three competitors. Larger sites, more complex competitive environments, or engagements requiring an expanded query set are scoped individually with a fixed-fee proposal before work begins. There are no variable charges based on what the audit finds — you know the full investment at the start.

What happens after the audit is delivered?

You receive the complete deliverable package: the page-by-page citation scorecard, the query-to-page map, the competitor citation comparison report, the uncited page analysis, the content gap register, and the prioritised opportunity roadmap. From there, you have three options. You can take the roadmap directly to your internal team and implement using the detailed guidance provided — the roadmap is written to be actionable without additional interpretation. You can engage Ignited Nepal to implement the roadmap through our content development and technical AEO services. Or you can use the audit as a citation baseline and schedule a re-test in three to six months to measure how your citation rate has changed across the full page set. The audit is a complete, standalone deliverable. No ongoing retainer is required to make full use of it.

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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Your competitors already know which of their pages are being cited. Do you?

In US markets, the businesses building an AI citation advantage today are the ones that will be significantly harder to displace in twelve months. The AEO Citation Audit gives you a complete, page-level picture of where you stand — and a ranked roadmap for changing it.

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