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RL Environment
The technical-SEO counterpart of GEO Audit, the agent optimizes a weak page and submits HTML + robots.txt + sitemap.xml, scored by re-running a fully deterministic technical-SEO audit (no judge).
Screenshots
Industry
Environment specs
Persona / role
Problem
Technical SEO (correct HTML structure, robots.txt directives, sitemap configuration) is foundational to whether a page gets crawled, indexed, and ranked at all, but it's easy to get subtly wrong, and there's no simple, deterministic way to verify correctness beyond manual review or paid audit tools.
Solution
We built the technical-SEO counterpart to GEO Audit: the agent is given a weak page and must submit a corrected HTML file, robots.txt, and sitemap.xml. Scoring re-runs a fully deterministic technical-SEO audit (15 rule-based verifiers, no LLM judge involved), so grading is exact, reproducible, and free of judge variance.
Impact
This provides a zero-ambiguity training and benchmarking ground for technical SEO, a task where correctness is genuinely checkable, giving agents an objective standard to practice against and teams a trustworthy signal of whether a model can be relied on for real technical-SEO fixes.
Security
Disciplined security and privacy practices aligned with global standards to protect sensitive data, intellectual property, and model assets throughout the AI lifecycle.
Centific applies rigorous security, access control, and auditability standards to safeguard enterprise data, human workflows, and AI systems at scale.
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