AI visibility audit
vs SEO audit

The short version

What a conventional SEO audit does well

A good SEO audit is a mature, well-understood piece of work, and the better ones are excellent. Typically it covers crawlability and indexation, site architecture and internal linking, page performance, duplicate and thin content, structured data validity, backlink profile, and the gap between the queries a business wants and the content it actually has.

None of that has stopped mattering. If anything, several items on that list matter more now: retrieval is less forgiving than a ranking algorithm, which can still rescue a mediocre page carried by enough authority. A site with rendering problems, broken canonical logic or unindexable content will fail an AI visibility reading for exactly the reasons an SEO audit would have flagged first.

Audits also vary a great deal between providers. Many now include AI-related sections, entity checks or structured-data work that overlaps directly with what is described below. It would be wrong to characterise the discipline as ignoring any of this — the useful question is not whether your SEO audit mentions AI, but whether it measures the things that decide inclusion in an answer.

What an AI visibility audit adds

The additional work concentrates on four things a ranking-focused audit has no particular reason to examine:

• Entity resolution. Whether your organisation resolves to one unambiguous thing across your own site, public records and the sources that describe you. A business that reads as two or three adjacent organisations is one a system hedges about, and hedging looks identical to omission from the outside.
• Corroboration. Whether anything other than you supports what you claim. Self-published assertions are the cheapest signal available and are weighted accordingly by a system deciding what is safe to repeat.
• Quotability. Not whether a page covers a topic, but whether it answers a specific question in a passage that stands on its own. A page can rank well while containing nothing liftable.
• Observed responses. Prompts run against assistants and what came back — which organisations were named, and how yours was described when it was. That is a record of a moment rather than a standing position, and it is reported as such.

Where they meet, and where they part

The overlap is the foundation: crawlability, rendering, site health, structured data validity and genuinely useful content serve both objectives. Work done for one is rarely wasted on the other, which is why the two disciplines are complementary rather than competing.

They part on objective and on evidence. A ranking is a position among many; an answer names a handful and omits the rest, so a metric that improves steadily can accompany no change at all in whether you are mentioned. And the evidence differs: rank data is comparatively stable and easy to chart, whereas assistant responses vary between runs and phrasings. That is why a responsible AI visibility reading anchors on the durable, repeatable conditions of your domain and treats recorded responses as observations rather than as positions to plot.

Deciding, honestly

• An SEO audit first if your site has structural problems — pages not indexed, rendering failures, a migration that went badly. Those block both objectives and there is no point measuring anything downstream until they are fixed.
• An AI visibility reading first if your rankings are healthy and something else is wrong: traffic flat against stable positions, a competitor repeatedly named in answers, or nobody able to explain where consideration is now happening.
• Both if you are mid-rebuild, mid-rebrand or post-acquisition. Those events break identity and technical foundations simultaneously, and each audit will find things the other does not.
• Neither, yet, if you have not fixed what the last audit told you. A second diagnosis on top of an unactioned first one is a way of feeling busy.

What the reading produces

OG01 measures four scoring cards — Brand Intelligence, Search Intelligence, AI Readiness and AI Risk & Exposure — and combines them into a composite Authority Rating from 0 to 100. Search Intelligence is where the conventional discipline sits inside the reading rather than beside it: retrieval and positioning remain an input to what an assistant can find.

The Authority Rating is OG01's own measurement. It is not a Google, OpenAI, Microsoft, Anthropic, Perplexity or xAI metric, is not endorsed by any of them, and does not represent standing inside any of their systems. It is useful because it is repeatable and because the same method is run again after remediation — not because any third party recognises it.

Managed remediation is a separate product operating across five Smart Cards: those four plus Local Intelligence, which is a remediation workstream and does not contribute to the composite rating. The free reading costs nothing; the Full Intelligence Report at $399 opens every signal with implementation detail per finding.

What neither audit can promise

Neither can promise a ranking, a citation or a mention. The systems producing AI answers do not publish how sources are chosen, so nobody outside those companies can offer a verified factor list or commit to inclusion. Neither can give you a reliable timeframe, because recrawling and third-party sources are outside any supplier's control. What both can do is identify specific, checkable conditions and measure whether they changed.

Common questions