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Case Study AI & Automation

SEO Audit
Report Skill.

How F9XR Team built a drop-in AI skill that audits any codebase across 24 SEO pillars and produces a production-ready report in one prompt.

24

SEO Pillars

1

Prompt

0

Setup Required

Project Overview

Product Type — Drop-in AI skill (LLM prompt + structured schema) for automated SEO auditing.

Goal: Eliminate manual SEO audits by giving any AI coding assistant the ability to audit 24 on-page and technical SEO pillars from a single prompt.

Audience: Developers, agencies, and solopreneurs who want instant, actionable SEO insights without third-party SaaS tools.

Stack: Markdown skill definition, structured JSON output schema, compatible with any LLM-powered coding assistant.

The Challenge

Manual Audits Are Slow

Traditional SEO audits require specialized SaaS tools, manual checklist walkthroughs, and hours of interpretation. For agencies auditing multiple client sites, this bottleneck costs thousands in billable hours each month.

Fragmented Tooling

Most SEO audits split across 5-10 different tools: one for technical crawl data, another for page speed, a third for schema validation. Stitching these together into a cohesive report is tedious and error-prone.

LLMs Lack SEO Expertise

Out-of-the-box AI assistants can write code but don't inherently know what to audit for SEO. Without structured guidance, AI-generated audits miss critical pillars like canonical tags, structured data, Core Web Vitals thresholds, and content gap analysis.

No Standardized Output

Even when audits are performed, the output format varies wildly. Clients need consistent, structured reports they can act on immediately — not ad-hoc text dumps with inconsistent severity ratings.

The Solution

F9XR Team engineered a self-contained AI skill that can be dropped into any codebase. Once installed, a single prompt triggers a comprehensive audit across 24 SEO pillars — outputting a structured, actionable report in seconds.

One-Prompt Audit

Drop the skill file into any project and run a single prompt. The AI automatically crawls the codebase, checks every SEO pillar, and returns a structured report.

24 SEO Pillars

Covers meta tags, Open Graph, canonical URLs, structured data, heading hierarchy, image optimization, Core Web Vitals, mobile responsiveness, internal linking, and 14 more critical areas.

Structured Output

Every audit produces a consistent JSON-structured report with severity ratings, specific file/line references, and prioritized fix recommendations.

Zero Configuration

No API keys, no SaaS subscriptions, no setup wizards. The skill works with any LLM-powered coding assistant and any tech stack.

Actionable Severity

Issues are classified as Critical, Warning, or Advisory with estimated impact scores, so teams can fix high-severity problems first.

CI/CD Friendly

Output is machine-readable, making it easy to integrate into GitHub Actions, pre-deploy hooks, or automated quality gates.

Results

Measurable Impact.

95% Faster Audits

From 4+ hours manual to under 2 minutes with AI

24 Pillars Covered

Comprehensive coverage in a single pass

$0 Recurring Cost

No SaaS subscriptions — runs on existing AI tools

Universal Compatibility

Works with any tech stack, any LLM assistant

Testimonial

Development Team

"We used to spend half a day per client on SEO audits. Now we drop this skill into the project, run one prompt, and get a report that's more thorough than what our old SaaS tool produced. It's a complete game-changer for our workflow."
F9

F9XR Engineering

Internal QA & Product Team

Built With

Engineered for Any Stack.

LLM Prompt Engineering Markdown Skill Schema JSON Output Structure HTML/SEO Analysis Structured Data Validation Core Web Vitals Checks Mobile-First Auditing CI/CD Integration

Need a Custom
AI Skill?

Whether it's SEO auditing, code review, content generation, or any repeatable workflow — F9XR Team builds custom AI skills that supercharge your team's output.

KNOWLEDGE BASE

Frequently Asked Questions.

The SEO Audit Report Skill is a drop-in AI skill file that you place in your project's root directory. When you ask your AI coding assistant to run an SEO audit, it reads the skill definition and performs a comprehensive analysis across 24 SEO pillars — outputting a structured, actionable report.
The skill covers 24 pillars including: title tags, meta descriptions, Open Graph tags, canonical URLs, heading hierarchy (H1-H6), image alt text, structured data (JSON-LD), internal linking structure, external link quality, page load speed indicators, mobile viewport configuration, robots.txt analysis, XML sitemap validation, content keyword density, URL structure, duplicate content detection, hreflang tags, viewport meta, charset declaration, favicon presence, HTTPS enforcement, content readability, and Core Web Vitals thresholds.
The skill works with any LLM-powered coding assistant that supports custom skill or instruction files — including Cursor, Windsurf, Cline, Roo Code, Aider, GitHub Copilot, and similar tools. It's designed to be platform-agnostic.
Unlike SaaS SEO tools that require monthly subscriptions and rely on external crawlers, this skill runs locally within your existing workflow. It analyzes your actual source code and templates — not just rendered output — giving you deeper technical insights. There are no recurring costs, no API rate limits, and no data leaves your machine.