Where does your brand appear in AI answers?
When a customer asks ChatGPT or Google’s AI who to use, one of two things happens: your brand is part of the answer, or a competitor’s is. The audit tells you which — and why.
Executives can see their rankings. Almost none can see their AI visibility.
Buyers have started putting the questions they once typed into Google to AI engines instead — which firm to shortlist, which product to trust, which provider suits their situation. The engines respond with a single synthesised answer citing a handful of brands. There is no page two.
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 replaces guesswork with a documented baseline — the same job a rankings report did for classic search.
Most organisations have never seen this data. Traditional SEO tools do not capture it and platform dashboards do not report it. The audit exists to put a clear answer in front of the executive team, in plain terms, with evidence attached.
The commercial stakes are straightforward. A brand absent from AI answers is absent from a growing share of buying decisions — and because the shift happens away from any dashboard, it is usually invisible 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, ChatGPT, Perplexity and Copilot for the queries that matter commercially — the questions buyers actually ask, not vanity keywords. Every query is tested and documented across each engine.
How you are described
When the brand does appear, what the model says about it — positioning, accuracy, currency. An engine citing you with outdated or incorrect information can be worse than not appearing at all.
Who is cited instead
The competitors and publishers the engines currently prefer for your money queries, and the sources those citations are drawn from. This is the competitive map most organisations have never seen.
Why — the gaps behind it
The content, entity and authority gaps that explain the pattern: what the engines cannot find, cannot parse or do not yet trust about your organisation. Diagnosis, not description.
Findings, competitive read, roadmap.
Visibility baseline
Query-by-query citation results across the engines, with supporting evidence and a documented method — a baseline the organisation can retest against later.
Competitive read
Where competitors are winning citations and why — the sources, structures and signals behind their presence in the answers your buyers see.
Prioritised roadmap
The fixes ranked by commercial impact and effort — content, entity and technical work sequenced so the highest-value gaps close first.
Fixed scope. Senior-led. Built to be acted on.
The audit is a fixed-scope engagement led by Sam personally — not handed to a junior team. Scope is agreed before work begins: the commercial queries, the engines, 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. It suits CMOs whose rankings look healthy while organic clicks decline. And it suits organisations preparing to invest in AI search and needing a baseline to measure that investment against. It is not a subscription, a dashboard or a retainer in disguise — it is a piece of analysis with a beginning and an end.
The method comes from a decade of accountable search practice, not theory — the same discipline behind engagements that produced 25x sustained blended ROAS and a 90% CPA reduction alongside 8x organic growth year on year.
Most audits surface a defined program of work. That work sits within 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, 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, 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 through the AI search practice directly. 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