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What the platform is built to handle
Nucez SEO Checker is designed for both internal analysis workflows and customer-facing SEO products, from fast checks to plan-based automation.
Readable SEO reports with real prioritization
See exactly what is wrong, how severe it is, and what to solve first without technical overload.
- Score plus issue-level severity and impact
- Coverage for metadata, structure, links, and images
- Structured data and technical trust checks
- Technology fingerprint hints for stack awareness
Audit intelligence
Run technical and on-page checks with issue prioritization so teams can move from findings to implementation quickly.
- Metadata and heading validation
- Link and indexability signal checks
- Structured issue categories and severity
Domain operations
Scale from single URL checks to domain-level operations with sitemap discovery and scheduled workflows based on plan capabilities.
- Sitemap import with manual path fallback
- Scheduled scans and manual run budgets
- Result tracking across repeated runs
API product delivery
Use API keys, usage controls, and client-ready delivery to turn SEO analysis into a reliable product surface.
- Per-key limits and activation controls
- Client panel for keys, usage, and audits
- Shareable audit report links by entitlement
Built for teams at different SEO maturity levels
Whether you are validating landing pages or operating large domain portfolios, Nucez keeps the same platform model and API surface.
Answers before you integrate
How does Nucez handle plan differences?
Plan capabilities are controlled in backend entitlements and surfaced in the UI, including analysis depth, manual run budgets, and feature toggles for domain monitoring and share links.
Can we start with free checks and scale later?
Yes. Teams can start with free checks, then move to paid plans for deeper analysis and higher operational limits without changing core integration patterns.
Is the platform usable for non-technical stakeholders?
Yes. Reports include score context and prioritized findings so technical and non-technical users can collaborate on remediation priorities.