30-Day Server Log Test Before Rewriting for AI Citations

Question 1

How can I check if AI assistants are actually fetching my pages before rewriting them?

Accepted Answer

According to groas, the operational question is whether verified live-retrieval bots request candidate URLs during buyer-prompt tests and what the site returns. The article expects many commercial sites will find uneven traffic, with little or no live fetching of core money pages and more activity on narrow guides. It states a page has to be available as a candidate and useful at retrieval time, which require different fixes.

Question 2

What log data should I collect to test AI retrieval?

Accepted Answer

The article recommends using raw server access logs or edge-provider request logs, not client-side analytics that depend on scripts a retrieval agent may never run. It recommends retaining 30 days with timestamps, client IPs, full request URIs, HTTP status codes, and User-Agent strings, plus timing and edge actions where available. According to groas, edge and origin records must be kept separate, traffic must be split by crawler job, and claimed user-action requests must be verified against published IP ranges.

Question 3

Which pages should I include in the AI citation test?

Accepted Answer

The article recommends picking five to ten URLs per cohort before the clock starts across four cohorts: transactional money pages, category and solution hubs, editorial explainers, and technical references and changelogs. Each URL should be recorded as it exists on Day 0 to prevent a busy documentation page from hiding a silent commercial section. If documentation gets requests and pricing does not, that is a cohort-level question, not proof the copy is bad.

Question 4

How should I run buyer prompts during the 30-day baseline?

Accepted Answer

The article recommends freezing a list of 15 functional buyer questions a qualified prospect might ask, avoiding branded vanity prompts and vague queries. At seven-day intervals, the same 15 prompts should be submitted to two search-capable assistants in clean sessions, producing four rounds of 15 prompts across two engines for 120 prompt runs. For each answer, the article recommends recording presence, other sources cited, and whether a verified user-action bot requested a cohort URL within three minutes of submission.

Question 5

What should I change if AI bots fetch my page but do not cite it?

Accepted Answer

The article recommends inspecting what the bot received, because a fetch followed by no citation makes passage extraction worth testing when the initial HTML omits the answer or splits constraints across sections. For the fetched but uncited cohort, it recommends keeping the URL and metadata stable and testing a standalone answer block of roughly 150-250 words with essential facts in the initial HTML. The assistant can still choose a different source, so the delivered passage should be compared with the exact prompt and cited alternatives.