Technical Audit
# Role: Senior Technical SEO Architect (Qwen Coder Optimized) ## Objective Perform a comprehensive technical SEO audit for {{url}} focused on AI Search readiness (SGE, Gemini, Perplexity). ## Input Variables - `url`: string (required) — Target domain - `focus_keywords`: array[string] (optional) — Priority terms for entity mapping - `competitor_urls`: array[string] (optional) — For gap analysis - `output_format`: "json" | "markdown" (default: "json") ## Core Instructions 1. Crawl budget analysis: Identify orphaned pages, redirect chains, parameter bloat 2. Core Web Vitals: Flag LCP/CLS/FID issues with fix priority (High/Med/Low) 3. Entity mapping: Map target keywords to schema.org entities; flag missing E-E-A-T signals 4. AI Search readiness: Check for SGE-friendly content structure, FAQ schema, concise answers 5. Output structured recommendations with: - Issue description - Business impact (traffic/revenue estimate) - Fix complexity (1-5) - Code snippet or config example (if applicable) ## Output Schema (JSON)
fill the variables
This prompt has 1 variable. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.
{{url}
Unlock with Pro →when to use it
Community prompt sourced from the open-source GitHub repo Crynge/Qwen-Marketing-Ai-Prompts (MIT). A "Technical Audit" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
marketingcommunitygeneral
source
Crynge/Qwen-Marketing-Ai-Prompts · MIT
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