Zhihe GrowthA site may look healthy only from a human browser's perspective. Bot requests pass through DNS resolution, TLS negotiation, edge routing, security rules, cache lookup, and origin responses before content parsing. A change at any stage can turn expected HTTP 200 HTML into a challenge page, empty shell, or error.
Trace the request path before rewriting articles
| Level | Visible symptoms | Evidence to be examined |
|---|---|---|
| DNS/TLS | Timeout, certificate hostname mismatch, or wrong host | DNS results, certificate SANs, and final redirect destination |
| CDN/WAF | 403, CAPTCHA, or geographic blocking | Matched edge rules, challenge logs, and target User-Agent |
| Origin server | 429, 5xx, or slow responses | Access logs, application errors, load, and connection pools |
| Page | HTTP 200 with an error message instead of content | Response body, Content-Type, template, and soft-404 behavior |
Record the URL, request time, region or egress, User-Agent, status code, and response-body summary to compare normal-browser and crawler-like requests. A curl request with a changed User-Agent alone does not prove real-platform access: IP, TLS fingerprints, cookies, and WAF rules can change the result. Google's HTTP status code description explains that 2xx does not guarantee indexing and 4xx, 429, and 5xx have different crawling consequences.
Order of processing 403, 429, 5xx and soft 404
For 403, distinguish intentionally protected private paths from wrongly blocked public content. For 429, check whether rate limits persistently affect legitimate crawling. Persistent 5xx server or connection errors can affect crawl frequency and index retention. A 200 response showing only 'system busy' is still a content failure, not proof of a citable page. Google's crawl troubleshooting documentation also warns that prolonged 503 or 429 responses can affect page retention.
Restore stable responses for the homepage, services, knowledge center, and key articles; correct edge rules blocking public URLs; then optimize performance and caching. Do not disable the WAF globally for crawlers. Preserve security controls and define specific rules for verified access types. Administration, customer files, and unpublished directories still require authentication.
How Zhihe Growth verifies technical readiness
Before producing content, Zhihe Growth samples key URLs for time to first byte, final responses, edge and origin status, visible text, main internal links, canonicals, and robots rules. Use AI crawler access management to document client-approved access policies, then use Server log analysis to confirm actual visits. For JavaScript-shell pages, also perform an Original HTML vs. rendering. Expand content only after these checks pass; otherwise, more publishing may amplify an accessibility problem.
Retest in distinct layers
Separate network and HTTP availability, crawler-readable content, indexing or retrieval eligibility, and actual AI mentions or citations. Search Console crawl statistics, Bing tools, origin logs, and real answers address different questions. Zhihe Growth can deliver troubleshooting records and ongoing retests, but one HTTP 200 is not proof that every AI system has read the page.
Compare access paths to the same pages
Choose a homepage, service page, guide, and product detail page within a fixed 24-hour test window. Retrieve each in a normal browser, request the same canonical URL through webmaster inspection tools, then compare CDN edge logs. Record final URL, status, Content-Type, byte count, first-paragraph fingerprint, cache status, and WAF rule ID. If both clients receive 200 but one gets content and the other a CAPTCHA, investigate edge challenges rather than titles or article quality.
For 429 and 5xx, assess duration and scope: a brief maintenance fluctuation differs from persistent failure across core pages. Do not turn missing pages into homepage 200 responses to make monitoring green. Return genuine 404s with relevant navigation. After repairs, retest affected URLs and regions, cache freshness, and bot requests in logs. The objective is stable delivery of consistent visible facts, not one successful check.