Keep site findings and answer findings separate
An AI answer records how one selected source responded at a particular time. A website analysis examines the page or content supplied to IndexHalo. These evidence layers answer different questions. A page can have strong structure and still be absent from an answer; a widely known brand can appear even when its website has technical weaknesses.
Start with the actual page you expect to answer the buyer question. Inspect its current analysis and the date of the crawl. If you are reviewing an unpublished document, distinguish the supplied text from the live website. A locally improved draft has not changed what a crawler can access.
Review the page as a decision asset
- Confirm the page URL, canonical identity and title. Make sure you are editing the intended owner of the question.
- Read the extracted text. Check whether the answer is present in readable content rather than only inside an image or interaction.
- Inspect headings, specific claims, sources, authorship and dates. A clear statement with nearby evidence is easier for a person to assess.
- Look for conflicting or outdated information, especially product names, prices, eligibility and limitations. Validate factual claims against authoritative records.
- Turn each material finding into a specific edit and acceptance test. “Improve content” is too vague to hand to another person.
Use Crawlability to understand declared rules
Crawlability distinguishes bots, operators and purposes and shows the applicable robots.txt rules. A bot-specific rule differs from a global rule. An allowed verdict means the declared policy permits access under that rule; it does not prove a bot visited the page, indexed it, used it for training or cited it.
Do not open every crawler indiscriminately. The website owner decides which purposes are appropriate. When changing a rule, confirm the affected bot and URL pattern, preserve the original rule and verify the resulting public file. Requests, caching and other infrastructure can still affect access even when robots.txt allows it.
Use actual logs to establish visits
Crawl insights needs supplied server-log evidence or a configured supported event feed. Without that evidence, it cannot tell you which bots visited. Use a dated export, verify the bot classification and compare requests, response codes and relevant URLs. Avoid publishing logs that contain personal data, secrets or internal addresses.
A bot request is not a customer visit and is not proof of a later citation. Use it to diagnose coverage or access failures. Keep the log window separate from the answer-collection window in the report.
Verify the change on the live page
After an edit is published, inspect the public URL again. Check the actual text, metadata or robots rule that the action named. Save the implementation date and verification result. Only then run a comparable AI search if the question is whether the later answer changed. Preserve the before-and-after observations without claiming the page edit caused the difference.
Content drafts and publishing bundles support the customer’s publishing workflow. Exporting a bundle is not the same as publishing it to a CMS. Record the live URL and verify it after the responsible team publishes.
Your next step
Choose one current page finding and define the exact public change that would resolve it.
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