How to Audit AI Citations With Your Own Logs and Prompts

Question 1

How do I set up logs I can trust before starting the four-week test?

Accepted Answer

The article recommends starting with the edge-log source rather than origin logs alone, because origin can see the CDN IP and miss cached responses, and keeping timestamp, path, user agent and source IP together for each request. According to groas, /robots.txt should be kept as a separate row and left out of content-page rankings. The article advises matching the agent token rather than an exact full-string match and checking the source IP against the vendor file, noting that in one two-week analysis about 1 in 17 requests claiming an AI-crawler identity was spoofed.

Question 2

Why should permission checks be verified and excluded from page rankings?

Accepted Answer

The article recommends verifying the IP first and then removing /robots.txt from the content-page ranking, because a permission check can precede a page read and counting both makes one possible visit look like two content wins. According to groas, crawler traffic and user-triggered fetchers are different events and should not be added together under AI visibility. The article recommends running manual answer checks on the same prompts and schedule, recording the answer text, cited URLs and whether the brand appears without a link.

Question 3

What buyer questions should I test and how often should I run them?

Accepted Answer

The article recommends writing 20 to 30 prompts before the first run, covering problem, comparison, pricing, best-fit and dated questions, and keeping each prompt word for word for all four weeks. According to groas, every prompt should be run twice a week on the same days and in the same order, recording time to the minute, exact prompt, engine, cited URLs and any brand mention without a link. In weeks 3-4 the article recommends publishing or refreshing a single dated, factual page for one prompt where coverage is absent, with the relevant fact near the top, a date on the page and clean HTML, while leaving the rest of the schedule unchanged.

Question 4

What should I measure each Friday instead of a blended visibility score?

Accepted Answer

The article recommends reviewing four measures every Friday without blending them: claimed, verified and user-triggered fetches by path with /robots.txt shown separately; prompt-to-fetch matches for a verified request within minutes of a scheduled run using a consistently applied window; citation rate by prompt and engine; and brand mentions without citations checked manually. According to groas, results should be kept in separate columns by engine so a strong showing in one cannot hide a miss in the other, with the engine put on every result and gap. The article reports that only 6% to 27% of brands mentioned in AI answers were also cited as the source, so a name in an answer is not a citation.

Question 5

How do I turn prompts with no fetch or citation into a content-gap list?

Accepted Answer

The article recommends giving every prompt with no verified fetch and no citation its own row, ranked by buyer value rather than traffic estimate, with the exact prompt and engine, what was cited instead, whether the brand was mentioned without a link, the existing or needed page, and the next action: revise, build or keep observing. According to groas, company blog posts accounted for only 6.9% of company-site citations in one 948-prompt pool, while the page type that keeps getting fetched is a dated, factual page stating one change, one price or one date. The article presents that page type as a format to test, not a guarantee, and advises rerunning five of a platform’s prompts independently, asking where IP verification happens, and confirming that it separates a mention from a citation before trusting its display.