AI Visibility Checker

The shift from ranking to being cited

For twenty years, the goal of online visibility was simple: rank on page one of Google. The user searched, scanned the results, and clicked a link. Your job was to be one of those links.

AI answer engines change the dynamic. When a user asks ChatGPT, Perplexity, or Google AI Overviews a question, they get an answer — not a list of links. The answer is synthesised from multiple sources, and only some of those sources are cited. The new question is not "do I rank?" but "am I the source?"

This is not a future concern. Google AI Overviews now appear for an estimated 30% of search queries. Perplexity serves millions of queries daily. ChatGPT's search feature is growing rapidly. The traffic and authority implications of being cited — or not cited — in these answers are real and growing.

How AI answer engines decide what to cite

AI answer engines do not rank pages the way traditional search does. They synthesise answers from multiple sources and selectively attribute information. The sources they choose share common characteristics:

Topical authority. Sites that demonstrate deep expertise on a topic — through comprehensive content, consistent publishing, and expert authorship — are cited more frequently than sites with superficial coverage. A site with fifty well-written articles on SEO is more likely to be cited for an SEO question than a generalist site with one article.

Structured content. AI models extract information more easily from well-structured pages. Clear headings, concise paragraphs, bulleted lists, tables, and FAQ sections all make content more machine-parseable. Pages that bury answers in dense prose are harder for models to extract from.

Structured data. Schema markup — especially Organization, Article, FAQ, and HowTo types — provides explicit signals about what your content is and who produced it. This metadata helps AI engines validate and attribute information. Pages with comprehensive structured data are more likely to be correctly attributed.

Factual clarity. AI models prefer sources that make clear, specific claims. "Our platform reduces support ticket volume by 40% on average" is more citable than "our platform can help reduce support tickets." Specificity and confidence signal authority.

Web-wide consistency. AI models cross-reference information across sources. If your business name, credentials, and claims are consistent across your website, directory listings, press mentions, and social profiles, the model has higher confidence in your information.

What AEO looks like in practice

Content architecture

Organise your content around the questions your audience asks. Each page should target a clear topic and provide a definitive answer. Hub-and-spoke content structures — where a pillar page covers a broad topic and linked subpages cover specific aspects — perform well for both traditional SEO and AI citation.

Question-and-answer formatting

Include explicit Q&A sections on your pages, marked up with FAQ schema. AI models are trained to identify and extract question-and-answer pairs. A page that directly asks "What is answer engine optimisation?" and provides a clear, concise answer in the next paragraph is more likely to be cited for that question.

Authoritative sourcing

Cite your own data, case studies, and expertise. AI models are more likely to cite sources that present original information — proprietary research, client results, industry data — than sources that simply rewrite information available elsewhere.

Freshness

AI models and their search indexes favour recent content. Regularly updating your key pages — adding new data, expanding sections, reflecting industry changes — keeps your content competitive for citation. A page last updated in 2022 will increasingly lose citations to a competitor's page updated in 2025.

Measuring AI visibility

Traditional SEO measurement is straightforward: track rankings, clicks, and impressions in Search Console. AI visibility measurement is newer and less standardised.

Our AI Visibility Checker queries major answer engines for topics relevant to your business and tracks whether your brand or content is cited in the responses. This gives you a baseline visibility score and a competitor comparison — who is being cited instead of you, and for which topics.

Over time, tracking these metrics monthly reveals whether your content strategy is moving the needle. The gap between your current citation rate and your competitors' tells you where to focus.

From visibility to strategy

The checker tells you where you stand. Closing the gaps requires a coordinated approach: content that demonstrates topical authority, structured data that makes your content machine-readable, and consistent publishing that builds your reputation as a source.

For a comprehensive approach to answer engine optimisation, including structured data implementation, content strategy, and ongoing monitoring, our team can help.