VisibleDiagnostic Run the check

A content audit tells you what you have. It does not tell you what the answer cited.

Most content audits answer a useful but different question: which pages exist, which are decaying, which overlap, which need a rewrite. They do not tell you which pages an AI answer used when a buyer asked for a shortlist — or whether your page was in the answer at all.

What a content audit measures

A standard content audit inventories the site and judges each page against a job: traffic, conversions, rankings, internal links, freshness, duplication, and the intent it serves. It produces a list of pages to keep, merge, rewrite or remove. It is a library inventory, and it is necessary work.

It is not an answer-level measurement. A page can pass every audit check and still be absent from the answer a buyer sees. A page can fail every check and still be the source an assistant quotes.

What an AI source audit measures

The diagnostic starts from buying questions, not from the page inventory. It samples each question three times in a logged-out AI session, records the answer and its citations, and classifies the sources. The output is a list of questions where you appear, questions where a competitor appears instead, and the kinds of pages doing the work.

The unit is the answer. The same question can cite a directory in one run, an editorial review in another, and a community thread in a third. The report keeps those runs separate because the spread is the finding.

Where they overlap

Both audits care about clarity, structure and whether the page has a claim worth citing. A page with no distinct point of view is hard to audit and hard to quote. A page buried behind a broken canonical or an inaccessible template will not be read by either surface.

The overlap is the reason to sequence them, not to merge them. Fix the mechanical and editorial floor first; then measure the answers; then work on the source pages the answers actually use.

A sequence that does not duplicate work

  1. Inventory and fix the floor. Crawl access, canonical, internal links, duplicate pages, stale claims. A content audit is the right tool here.
  2. Pick ten buying questions. Not the ten highest-volume keywords; the ten questions a buyer asks before choosing. Include comparison and alternative questions.
  3. Sample the answers and classify the sources. The diagnostic tells you whether the answer cites your page, a competitor's page, a directory, a community thread or a review site.
  4. Fix the pages the answers use. If a directory is doing the work, update the directory. If an editorial review is doing the work, give the reviewer a reason and the facts. If your own page is cited but the answer is wrong, correct the page first.
  5. Re-run at day 60. Compare the same questions. Do not add new questions to make the result look better.

What to fix first

If the content audit finds a page that is inaccessible or duplicated, fix it before buying any AI visibility work: the answer engine cannot use a page a crawler cannot read. See technical SEO audit. If the site is technically clean, do not repeat the audit. Start with the answer sample and let the cited sources decide which pages deserve the rewrite.

This is also the cheapest way to avoid the most common mistake: rewriting the whole blog because a dashboard says “low visibility”. The answer may be citing a directory, a review or a community thread that no amount of blog editing will change.

The order we recommend Content audit for the floor → AI visibility diagnostic for the answer layer → source work on the pages the answers cite → day-60 re-run. If the floor is already clean, skip to step two.

SEO audit vs AI visibility audit · See the $850 diagnostic · Read the synthetic sample