Where does your brand appear in AI answers?
When a customer asks ChatGPT or Google’s AI who to use, the answer names your brand or it names a competitor. The audit tells you which, and why.
Few executives can see where their brand stands in AI answers.
Buyers have started putting questions to AI engines that they once typed into Google: which firm to shortlist, which product to trust, which provider suits their situation. The engines respond with a single synthesised answer that cites a handful of brands, and there is no second page of results.
An AI search visibility audit measures whether your brand appears in those answers, how it is described when it does, and which competitors are cited when it does not. It gives you a documented baseline, the same job a rankings report did for classic search.
Most organisations have never seen this data, because traditional SEO tools do not capture it and platform dashboards do not report it. The audit puts a clear answer in front of the executive team, in plain terms, with the evidence attached.
The commercial stakes are straightforward. A brand missing from AI answers is missing from a growing share of buying decisions. Because the shift happens away from any dashboard, it usually goes unnoticed until enquiry volume moves. The audit makes it visible early, while the position is still inexpensive to fix.
Four questions, answered with evidence.
Citation presence
Whether your brand appears in AI Overviews and AI Mode, ChatGPT, Perplexity and Copilot for the queries that matter commercially, meaning the questions buyers actually ask. Every query is tested and documented across each engine.
How you are described
When the brand does appear, what the model says about it: how it is positioned, whether the description is accurate and whether it is current. An engine that cites you with outdated or incorrect information can do more damage than an engine that leaves you out.
Who is cited instead
The competitors and publishers the engines currently prefer for your commercial queries, and the sources those citations are drawn from. Most organisations have never seen this map of their category.
The gaps behind the pattern
The content, entity and authority gaps that explain the results: what the engines cannot find, cannot parse or do not yet trust about your organisation. The report gives a cause in each case.
Findings, competitive read, roadmap.
Visibility baseline
Query-by-query citation results across the engines, with supporting evidence and a documented method. The organisation can retest against that baseline later.
Competitive read
Where competitors are winning citations, and the sources, structures and signals behind their presence in the answers your buyers see.
Prioritised roadmap
The fixes ranked by commercial impact and effort, covering content, entity and technical work, sequenced so the highest-value gaps close first.
A fixed-scope engagement, senior-led and built to be acted on.
The audit is a fixed-scope engagement led by Sam personally. Scope is agreed before work begins: the commercial queries, the engines and the competitors. It is designed to be commissioned once, read in one sitting and acted on.
It suits executive teams who suspect search behaviour is shifting under their category and want evidence before committing budget, CMOs whose rankings look healthy while organic clicks decline, and organisations preparing to invest in AI search that need a baseline to measure the investment against. The audit is a piece of analysis with a beginning and an end, not a subscription or a retainer in disguise.
The method comes from a decade of accountable search practice. It is the same discipline behind a 25x sustained blended ROAS result and a 90% CPA reduction alongside 8x organic growth year on year.
Most audits surface a defined program of work. That work is part of the broader AI search optimisation practice: content, entity and authority strategy for AI-generated answers, end to end.
Common questions about the audit.
What does an AI search visibility audit measure?
It measures whether a brand is cited in AI-generated answers across Google AI Overviews and AI Mode, ChatGPT, Perplexity and Microsoft Copilot for a defined set of commercially important queries. It also records how the brand is described when it appears, which competitors are cited instead, and the content, entity and authority gaps behind the results.
Which AI engines does the audit cover?
Google AI Overviews and AI Mode, ChatGPT, Perplexity and Microsoft Copilot as standard. Coverage can extend to other assistants where a category’s buyers use them. Each engine is tested against the same query set, so results are directly comparable.
What do we receive at the end?
A written report in three parts: query-by-query visibility findings with supporting evidence, a competitive read of who the engines cite instead and why, and a prioritised roadmap. It is written for an executive audience and structured so an in-house team or agency can act on it directly.
Our search rankings are strong. Do we still need an audit?
Strong rankings do not guarantee AI citations. Answer engines select and synthesise sources differently from classic search results, and it is common for a page-one brand to be absent from the generated answer above it. The audit establishes whether that gap exists in your category.
What happens after the audit?
The roadmap can be implemented by your own team, your agency or by Sam directly in a separately scoped engagement. Because the audit documents a baseline, visibility can be retested later and progress measured against it. There is no obligation to continue past the audit itself.
Let’s talk about what’s next.
For executive advisory, fractional CMO, AI search strategy or speaking enquiries.
sam@sampark.com.au