Visual SEO Remediation Studio

Extract, visualize, and edit your metadata and schema graph.

Visual SEO Remediation Studio

Paste your rendered HTML to extract, visually edit, and re-export your Meta and Schema graphs.

The Visual SEO Remediation Studio is an all-in-one workspace for fixing SEO issues. Paste any HTML to instantly extract the title, meta tags, Open Graph tags, and structured data. Visually edit your schema graph and social cards in real-time, then export the corrected <head> code directly to your project.

Why visual SEO remediation matters

Most SEO audits just give you a list of errors: "Title too long", "Missing JSON-LD property", "Open Graph image missing". Fixing them usually requires bouncing between a CMS, a schema generator, a code editor, and a SERP preview tool. The Visual SEO Remediation Studio combines extraction, visual editing, and live previewing in a single workspace. You see the problem, you fix it visually, and you copy the exact code needed.

Real-time schema graph editing

Writing JSON-LD by hand is error-prone. The studio extracts any existing structured data from your pasted HTML and visualizes it as an interactive, hierarchical entity graph. You can click on any value—like an article's datePublished or a product's price—and edit it directly. The studio automatically manages the JSON syntax, brackets, and types in the background.

Pixel-accurate preview fidelity

The live preview engine uses exact pixel-width measurements for Google Desktop snippets and exact aspect ratios for Facebook Open Graph cards. As you type, the preview reflects the exact truncation point and visual layout that searchers and social media users will see. There are no character-count guesses, only rendering reality.

Private and browser-first

Your code never leaves your computer. The extraction logic, the DOM parser, and the code generator all run entirely client-side in your browser. You can safely paste HTML from staging environments, intranet sites, or behind-the-login apps without exposing sensitive data.

Frequently Asked Questions