Last reviewed 2026-06-27

How CheckWebs turns technical signals into practical diagnostics

CheckWebs uses public, live website signals to find issues users can verify and fix. Scores are directional diagnostics, not guarantees of rankings, citations, security compliance, or legal compliance.

Browse fix guides Editorial policy

Live evidence first

CheckWebs prioritizes what a crawler or browser can fetch from the public URL right now.

Follow redirects and inspect the final URL before scoring page-level issues.
Read rendered HTML, response headers, robots directives, and sitemap references separately.
Treat API, report, and one-off result pages differently from canonical landing pages.

Intent-specific scoring

A page is judged against the job it is meant to perform, not a generic checklist alone.

SEO pages need titles, descriptions, canonicals, internal links, and indexability.
Security pages need TLS, headers, redirects, and mixed-content evidence.
AI readiness pages need crawl policy, extractable content, schema clarity, and source signals.

Conservative AI/GEO claims

AI visibility diagnostics identify blockers and readiness signals; they do not promise citations or rankings.

Separate classic search crawlers, AI retrieval crawlers, user-triggered fetchers, and training crawlers.
Explain whether an issue is a hard blocker, a quality signal, or a directional recommendation.
Prefer validation steps over absolute traffic or citation timelines.

Fix workflow over raw score

A useful diagnostic should point to the next action and a way to confirm the issue is closed.

Connect tool results to fix guides and platform-specific implementation steps.
Include validation steps so users can retest after changes.
Keep noindex on low-value generated result URLs while indexing stable guides and hubs.

Primary references

CheckWebs favors primary or standards-oriented references when a diagnostic depends on crawler behavior, structured data, HTTP headers, or AI search interpretation.

Google Search Central - helpful content

Used for people-first content, trust, originality, and quality review guidance.

Google Search Central - AI features

Used to keep AI/GEO claims grounded in standard crawl, index, and content practices.

Google Search Central - sitemaps

Used for sitemap quality, canonical URL inclusion, and lastmod handling.

Google Search Central - spam policies

Used to avoid doorway, scaled-thin, and misleading generated page patterns.

Schema.org

Used as the vocabulary reference for JSON-LD and entity markup checks.

MDN Web Docs - HTTP headers

Used for browser-facing HTTP header behavior and implementation context.

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