How to use Claude Code and Cursor for SEO audits
HubSEO generates deterministic, evidence-backed SEO fix prompts tailored for Claude Code, Cursor, Copilot, and Aider. Feed measured Lighthouse lab diagnostics, broken internal links, and Core Web Vitals element selectors directly into your AI coding agent to resolve technical SEO debt in git commits and verify changes through live re-scans.
Why AI Coding Agents Need Live Crawl Diagnostics
AI coding assistants like Claude Code, Cursor, Copilot, and Aider have full access to your source code repository, but they cannot see how search crawlers experience your live website.
A coding agent without live crawl data will guess why a page is slow or why Google dropped its rankings. When you provide measured Lighthouse lab diagnostics, exact DOM selectors for LCP elements, and raw HTTP headers, the agent can write surgical, high-impact fixes in minutes.
| Audit Signal | What the Coding Agent Needs | Target Outcome |
|---|---|---|
| Core Web Vitals | Exact LCP element selector and asset byte size | Priority preloading and CSS containment |
| Layout Shifts (CLS) | List of unsized images or dynamically injected DOM nodes | Explicit width/height attributes and aspect-ratio |
| Robots & Indexing | Raw HTTP status codes and X-Robots-Tag headers | Clean 200 OK headers with correct canonical tags |
| Structured Data | Schema.org validator syntax error line numbers | Valid JSON-LD markup matching Google rich snippet specs |
Step-by-Step: Running Claude Code with HubSEO Fix Prompts
HubSEO produces structured fix prompts designed specifically for CLI and editor-based coding agents:
- 1Run a Free Audit: Enter your URL on HubSEO to perform a headless Chromium crawl and extract technical SEO bottlenecks.
- 2Generate AI Fix Prompt: Select the high-priority finding and click Create AI Fix to copy the deterministic agent prompt.
- 3Execute in Claude Code or Cursor: Paste the prompt into your terminal session (claude) or Composer window. The prompt instructs the agent to edit only the files producing the issue.
- 4Verify with Closed-Loop Re-Scan: Once the commit is deployed, run HubSEO's live verification re-scan to prove the metric improved before closing the task.
Core Web Vitals Remediation with Coding Agents
The most impactful wins for coding agents come from performance engineering. For Largest Contentful Paint (LCP), HubSEO provides the exact DOM selector of the largest visible element (such as your hero banner or typography block).
Feed the selector into Claude Code with the prompt directive to convert regular image tags into framework-native optimized components (such as next/image) with priority loading enabled.
Frequently Asked Questions
How does Claude Code fix technical SEO issues?
Claude Code executes terminal commands, reads your local repository, edits template files, and runs unit tests. When fed a structured HubSEO fix prompt, it resolves DOM element warnings and performance bottlenecks directly in your git working tree.
Can I use HubSEO fix prompts with Cursor and Aider?
Yes. HubSEO fix prompts use a model-agnostic structure containing problem context, measured technical evidence, exact file targets, and strict constraints that work across Claude Code, Cursor Composer, GitHub Copilot, and Aider.
Why not let AI coding agents crawl the website directly?
Most LLM agents cannot execute client-side JavaScript or render realistic mobile viewports. HubSEO uses dedicated headless Chromium clusters to capture true Core Web Vitals and HTTP telemetry before passing the evidence to the agent.
How do I verify that an AI SEO fix actually worked?
Never trust an unverified code change. Use HubSEO's live re-scan feature after deploying your commit to verify that LCP timings improved, schema validation passed, and canonical tags match ground truth.
Audit your site live: get verifiable AI-ready fix prompts
Run a headless Chromium crawl to measure real Core Web Vitals, discover indexation barriers, and generate code fixes formatted directly for Claude Code and Cursor.